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  1. .gitattributes +1 -0
  2. app.py +3 -1
  3. components/.ipynb_checkpoints/index-checkpoint.html +40 -0
  4. components/.ipynb_checkpoints/mycell-checkpoint.vue +27 -0
  5. components/.ipynb_checkpoints/mycomponent-checkpoint.vue +33 -0
  6. components/.ipynb_checkpoints/pybridge-checkpoint.js +40 -0
  7. components/.ipynb_checkpoints/readme-checkpoint.txt +2 -0
  8. components/.ipynb_checkpoints/test-checkpoint.html +3 -0
  9. components/.ipynb_checkpoints/untitled-checkpoint.txt +0 -0
  10. components/untitled.txt +35 -0
  11. config.yaml +15 -0
  12. data/.DS_Store +0 -0
  13. data/.ipynb_checkpoints/HousingData-checkpoint.csv +507 -0
  14. data/.ipynb_checkpoints/iris-checkpoint.csv +151 -0
  15. data/.ipynb_checkpoints/samples-checkpoint.csv +3 -0
  16. data/seaborn/.ipynb_checkpoints/titanic-checkpoint.csv +892 -0
  17. data/seaborn/README.md +35 -0
  18. data/seaborn/anagrams.csv +21 -0
  19. data/seaborn/anscombe.csv +45 -0
  20. data/seaborn/attention.csv +61 -0
  21. data/seaborn/brain_networks.csv +0 -0
  22. data/seaborn/car_crashes.csv +52 -0
  23. data/seaborn/dataset_names.txt +22 -0
  24. data/seaborn/diamonds.csv +0 -0
  25. data/seaborn/dots.csv +849 -0
  26. data/seaborn/dowjones.csv +650 -0
  27. data/seaborn/exercise.csv +91 -0
  28. data/seaborn/flights.csv +145 -0
  29. data/seaborn/fmri.csv +1065 -0
  30. data/seaborn/geyser.csv +273 -0
  31. data/seaborn/glue.csv +65 -0
  32. data/seaborn/healthexp.csv +275 -0
  33. data/seaborn/iris.csv +151 -0
  34. data/seaborn/mpg.csv +399 -0
  35. data/seaborn/penguins.csv +345 -0
  36. data/seaborn/planets.csv +1036 -0
  37. data/seaborn/png/img1.png +0 -0
  38. data/seaborn/png/img2.png +0 -0
  39. data/seaborn/png/img3.png +0 -0
  40. data/seaborn/png/img4.png +0 -0
  41. data/seaborn/png/img5.png +0 -0
  42. data/seaborn/png/img6.png +0 -0
  43. data/seaborn/process/attention.py +13 -0
  44. data/seaborn/process/dowjones.py +9 -0
  45. data/seaborn/process/exercise.py +14 -0
  46. data/seaborn/process/flights.py +30 -0
  47. data/seaborn/process/gammas.py +33 -0
  48. data/seaborn/process/geyser.py +15 -0
  49. data/seaborn/process/glue.py +10 -0
  50. data/seaborn/process/healthexp.py +29 -0
.gitattributes CHANGED
@@ -35,3 +35,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  media/davide_quatela--breathing_barcelona.mp3 filter=lfs diff=lfs merge=lfs -text
37
  data/ss_data.db filter=lfs diff=lfs merge=lfs -text
 
 
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
  media/davide_quatela--breathing_barcelona.mp3 filter=lfs diff=lfs merge=lfs -text
37
  data/ss_data.db filter=lfs diff=lfs merge=lfs -text
38
+ data/.ipynb_checkpoints/samples-checkpoint.csv filter=lfs diff=lfs merge=lfs -text
app.py CHANGED
@@ -1,6 +1,8 @@
 
 
1
  import simplestart as ss
2
 
3
- ss.md("## SimpleStart Introduction")
4
 
5
  ss.space()
6
  ss.md('''
 
1
+
2
+
3
  import simplestart as ss
4
 
5
+ ss.md("# SimpleStart Introduction", color="#3451b2")
6
 
7
  ss.space()
8
  ss.md('''
components/.ipynb_checkpoints/index-checkpoint.html ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <!--
2
+ this example on "Code snippet: create Components without any frontend tooling (no React, Babel, Webpack, etc)"
3
+ is copied from streamlit and modified, you can find it at
4
+ https://discuss.streamlit.io/t/code-snippet-create-components-without-any-frontend-tooling-no-react-babel-webpack-etc/13064
5
+ -->
6
+
7
+ <html>
8
+
9
+ <head>
10
+ <script src="pybridge.js"></script>
11
+ </head>
12
+
13
+ <body style="height:100px">
14
+ <input id="myinput" value="" autocomplete="off" placeholder="Enter text and press enter" />
15
+ </body>
16
+
17
+ <script>
18
+ var myInput = document.getElementById("myinput");
19
+
20
+ myInput.addEventListener("change", function() {
21
+ ////将消息发送给Python端
22
+ sendDataToPython({
23
+ value: myInput.value,
24
+ });
25
+ })
26
+
27
+ //接受来自Python端的消息消息
28
+ window.addEventListener("message", onDataFromPython);
29
+
30
+ function onDataFromPython(event) {
31
+ var data = event.data.arg;
32
+ if (event.data.type !== "pypost") return;
33
+ myInput.value = data.my_input_value; // Access values sent from Python here!
34
+ }
35
+
36
+ //如果系统设置失败，可以手工设置高度
37
+ //setFrameHeight(200);
38
+ </script>
39
+
40
+ </html>
components/.ipynb_checkpoints/mycell-checkpoint.vue ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <template>
2
+ <!--<el-tag>{{item.value}}</el-tag>-->
3
+ <v-row>
4
+ <v-rating
5
+ v-model="rating" density="compact" color="orange" half-increments></v-rating>
6
+ <v-chip variant="text">{{item.value}}</v-chip>
7
+ </v-row>
8
+ </template>
9
+
10
+ <script>
11
+
12
+ module.exports = {
13
+ props:["item"],
14
+
15
+ data () {
16
+ return {
17
+ rating: 3
18
+ }
19
+ },
20
+ methods: {
21
+ //todo
22
+ },
23
+ mounted: function () {
24
+ this.rating = this.item.value/20
25
+ },
26
+ }
27
+ </script>
components/.ipynb_checkpoints/mycomponent-checkpoint.vue ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <template>
2
+ <div class="my-component">
3
+ <h1>{{title}}: {{ data.language }}</h1>
4
+ <el-button @click="testme">handle on server</el-button>
5
+ </div>
6
+ </template>
7
+
8
+ <script>
9
+ module.exports = {
10
+ name: 'MyComponent',
11
+
12
+ data() {
13
+ return {
14
+ title:"computer",
15
+ }
16
+ },
17
+
18
+ methods: {
19
+ testme(){
20
+ this.streamsync.forwardData(this, eventname="ontest", "12345")
21
+ }
22
+ }
23
+ }
24
+ </script>
25
+
26
+ <style>
27
+ .my-component {
28
+ width:50%;
29
+ background-color: #f0f0f0;
30
+ padding: 20px;
31
+ margin:10px 0;
32
+ }
33
+ </style>
components/.ipynb_checkpoints/pybridge-checkpoint.js ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ // ----------------------------------------------------
2
+ // Just copy/paste these functions as-is:
3
+ // 获取 URL 参数
4
+ const urlParams = new URLSearchParams(window.location.search);
5
+
6
+ // 获取指定参数的值
7
+ const componentId = urlParams.get('componentId');
8
+
9
+ function init() {
10
+ sendMessageToStreamlitClient("componentReady", {msg: "ready"});
11
+ }
12
+
13
+ function sendMessageToStreamlitClient(type, data) {
14
+ var outData = Object.assign({
15
+ componentId:componentId,
16
+ isSSMessage: true,
17
+ _type: type,
18
+ }, data);
19
+ window.parent.postMessage(outData, "*");
20
+ }
21
+
22
+ // The `data` argument can be any JSON-serializable value.
23
+ function sendDataToPython(data) {
24
+ sendMessageToStreamlitClient("setComponentValue", data);
25
+ }
26
+
27
+ // Hook things up!
28
+ //window.addEventListener("message", onDataFromPython);
29
+ init();
30
+
31
+ function setFrameHeight(height) {
32
+ sendMessageToStreamlitClient("setFrameHeight", {height: height});
33
+ }
34
+
35
+ // Hack to autoset the iframe height.
36
+ window.addEventListener("load", function() {
37
+ window.setTimeout(function() {
38
+ setFrameHeight(document.documentElement.clientHeight)
39
+ }, 0);
40
+ });
components/.ipynb_checkpoints/readme-checkpoint.txt ADDED
@@ -0,0 +1,2 @@
 
 
 
1
+ Code snippet: create Components without any frontend tooling (no React, Babel, Webpack, etc)
2
+ https://discuss.streamlit.io/t/code-snippet-create-components-without-any-frontend-tooling-no-react-babel-webpack-etc/13064/1
components/.ipynb_checkpoints/test-checkpoint.html ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ <html>
2
+ hello, world
3
+ </html>
components/.ipynb_checkpoints/untitled-checkpoint.txt ADDED
File without changes
components/untitled.txt ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ <template>
2
+ <el-col :span="data.span">
3
+ <el-menu
4
+ :default-active="activeIndex"
5
+ class="el-menu-demo"
6
+ :mode="data.direction"
7
+ @select="(key, keyPath) => console.log(key, keyPath)"
8
+ :ellipsis="false"
9
+ active-text-color="#ffd04b"
10
+ background-color="#545c64"
11
+ text-color="#fff"
12
+ >
13
+ <template v-for="item in data.menuItems">
14
+ <el-menu-item
15
+ v-if="!item.subItems"
16
+ :key="item.index"
17
+ :index="item.index"
18
+ :disabled="item.disabled"
19
+ >
20
+ {{ item.title }}
21
+ </el-menu-item>
22
+ <el-sub-menu v-else :key="item.index" :index="item.index">
23
+ <template #title>{{ item.title }}</template>
24
+ <el-menu-item
25
+ v-for="subItem in item.subItems"
26
+ :key="subItem.index"
27
+ :index="subItem.index"
28
+ >
29
+ {{ subItem.title }}
30
+ </el-menu-item>
31
+ </el-sub-menu>
32
+ </template>
33
+ </el-menu>
34
+ </el-col>
35
+ </template>
config.yaml ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ title: "SimpleStart Demo"
2
+
3
+ show_sidebar: true
4
+ wide_screen_mode : true
5
+
6
+ show_header: False
7
+ app_bar_height: 59 ##default is 64
8
+
9
+ show_footer: False
10
+
11
+ locales:
12
+ - code: ""
13
+ name: "English"
14
+ - code: "zh"
15
+ name: "Chinese 中文"
data/.DS_Store ADDED
Binary file (6.15 kB). View file
 
data/.ipynb_checkpoints/HousingData-checkpoint.csv ADDED
@@ -0,0 +1,507 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ CRIM,ZN,INDUS,CHAS,NOX,RM,AGE,DIS,RAD,TAX,PTRATIO,B,LSTAT,MEDV
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data/.ipynb_checkpoints/iris-checkpoint.csv ADDED
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1
+ SepalLength,SepalWidth,PetalLength,PetalWidth,species
2
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3
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10
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11
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12
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20
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22
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24
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25
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27
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28
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29
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30
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31
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32
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33
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34
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35
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36
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37
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38
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40
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42
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44
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45
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46
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47
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48
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49
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50
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51
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52
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53
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54
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55
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56
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57
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58
+ 7.4,2.8,6.1,1.9,2x
59
+ 5.8,2.7,5.1,1.9,2x
60
+ 6.2,3.4,5.4,2.3,2x
61
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62
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63
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64
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65
+ 6.4,3.1,5.5,1.8,2x
66
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67
+ 7.3,2.9,6.3,1.8,2x
68
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69
+ 7.2,3.6,6.1,2.5,2x
70
+ 6.5,3,5.5,1.8,2x
71
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72
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73
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74
+ 5.5,3.5,1.3,0.2,0
75
+ 7.7,3,6.1,2.3,2x
76
+ 6.1,3,4.9,1.8,2x
77
+ 4.9,3.1,1.5,0.1,0
78
+ 5.5,2.4,3.8,1.1,1
79
+ 5.7,2.9,4.2,1.3,1
80
+ 6,2.9,4.5,1.5,1
81
+ 6.4,2.7,5.3,1.9,2x
82
+ 5.4,3.7,1.5,0.2,0
83
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84
+ 6.5,2.8,4.6,1.5,1
85
+ 5.6,2.7,4.2,1.3,1
86
+ 6.3,3.4,5.6,2.4,2x
87
+ 4.9,3.1,1.5,0.1,0
88
+ 6.8,2.8,4.8,1.4,1
89
+ 5.7,2.8,4.5,1.3,1
90
+ 6,2.7,5.1,1.6,1
91
+ 5,3.5,1.3,0.3,0
92
+ 6.5,3,5.2,2,2x
93
+ 6.1,2.8,4.7,1.2,1
94
+ 5.1,3.5,1.4,0.3,0
95
+ 4.6,3.1,1.5,0.2,0
96
+ 6.5,3,5.8,2.2,2x
97
+ 4.6,3.4,1.4,0.3,0
98
+ 4.6,3.2,1.4,0.2,0
99
+ 7.7,2.8,6.7,2,2x
100
+ 5.9,3.2,4.8,1.8,1
101
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102
+ 4.9,3,1.4,0.2,0
103
+ 4.9,2.4,3.3,1,1
104
+ 4.5,2.3,1.3,0.3,0
105
+ 5.8,2.7,4.1,1,1
106
+ 5,3.4,1.6,0.4,0
107
+ 5.2,3.4,1.4,0.2,0
108
+ 5.3,3.7,1.5,0.2,0
109
+ 5,3.6,1.4,0.2,0
110
+ 5.6,2.9,3.6,1.3,1
111
+ 4.8,3.1,1.6,0.2,0
112
+ 6.3,2.7,4.9,1.8,2x
113
+ 5.7,2.8,4.1,1.3,1
114
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115
+ 6.3,3.3,6,2.5,2x
116
+ 5,3.5,1.6,0.6,0
117
+ 5.5,2.6,4.4,1.2,1
118
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119
+ 4.4,2.9,1.4,0.2,0
120
+ 4.8,3,1.4,0.1,0
121
+ 5.5,2.4,3.7,1,1
122
+ 5.9,3,4.2,1.5,1
123
+ 6.9,3.1,5.4,2.1,2x
124
+ 5.1,3.3,1.7,0.5,0
125
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126
+ 5.5,2.5,4,1.3,1
127
+ 6.2,2.9,4.3,1.3,1
128
+ 5.5,4.2,1.4,0.2,0
129
+ 6.3,2.8,5.1,1.5,2x
130
+ 5.6,3,4.1,1.3,1
131
+ 6.7,2.5,5.8,1.8,2x
132
+ 7.1,3,5.9,2.1,2x
133
+ 4.3,3,1.1,0.1,0
134
+ 5.6,2.8,4.9,2,2x
135
+ 5.5,2.3,4,1.3,1
136
+ 6,2.2,4,1,1
137
+ 5.1,3.5,1.4,0.2,0
138
+ 5.7,2.6,3.5,1,1
139
+ 4.8,3.4,1.9,0.2,0
140
+ 5.1,3.4,1.5,0.2,0
141
+ 5.7,2.5,5,2,2x
142
+ 5.4,3.4,1.7,0.2,0
143
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144
+ 6.3,2.9,5.6,1.8,2x
145
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146
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147
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148
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149
+ 6.7,3.1,4.7,1.5,1
150
+ 6.7,3.3,5.7,2.5,2x
151
+ 6.4,2.9,4.3,1.3,1
data/.ipynb_checkpoints/samples-checkpoint.csv ADDED
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data/seaborn/.ipynb_checkpoints/titanic-checkpoint.csv ADDED
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1
+ survived,pclass,sex,age,sibsp,parch,fare,embarked,class,who,adult_male,deck,embark_town,alive,alone
2
+ 0,3,male,22.0,1,0,7.25,S,Third,man,True,,Southampton,no,False
3
+ 1,1,female,38.0,1,0,71.2833,C,First,woman,False,C,Cherbourg,yes,False
4
+ 1,3,female,26.0,0,0,7.925,S,Third,woman,False,,Southampton,yes,True
5
+ 1,1,female,35.0,1,0,53.1,S,First,woman,False,C,Southampton,yes,False
6
+ 0,3,male,35.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
7
+ 0,3,male,,0,0,8.4583,Q,Third,man,True,,Queenstown,no,True
8
+ 0,1,male,54.0,0,0,51.8625,S,First,man,True,E,Southampton,no,True
9
+ 0,3,male,2.0,3,1,21.075,S,Third,child,False,,Southampton,no,False
10
+ 1,3,female,27.0,0,2,11.1333,S,Third,woman,False,,Southampton,yes,False
11
+ 1,2,female,14.0,1,0,30.0708,C,Second,child,False,,Cherbourg,yes,False
12
+ 1,3,female,4.0,1,1,16.7,S,Third,child,False,G,Southampton,yes,False
13
+ 1,1,female,58.0,0,0,26.55,S,First,woman,False,C,Southampton,yes,True
14
+ 0,3,male,20.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
15
+ 0,3,male,39.0,1,5,31.275,S,Third,man,True,,Southampton,no,False
16
+ 0,3,female,14.0,0,0,7.8542,S,Third,child,False,,Southampton,no,True
17
+ 1,2,female,55.0,0,0,16.0,S,Second,woman,False,,Southampton,yes,True
18
+ 0,3,male,2.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
19
+ 1,2,male,,0,0,13.0,S,Second,man,True,,Southampton,yes,True
20
+ 0,3,female,31.0,1,0,18.0,S,Third,woman,False,,Southampton,no,False
21
+ 1,3,female,,0,0,7.225,C,Third,woman,False,,Cherbourg,yes,True
22
+ 0,2,male,35.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
23
+ 1,2,male,34.0,0,0,13.0,S,Second,man,True,D,Southampton,yes,True
24
+ 1,3,female,15.0,0,0,8.0292,Q,Third,child,False,,Queenstown,yes,True
25
+ 1,1,male,28.0,0,0,35.5,S,First,man,True,A,Southampton,yes,True
26
+ 0,3,female,8.0,3,1,21.075,S,Third,child,False,,Southampton,no,False
27
+ 1,3,female,38.0,1,5,31.3875,S,Third,woman,False,,Southampton,yes,False
28
+ 0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
29
+ 0,1,male,19.0,3,2,263.0,S,First,man,True,C,Southampton,no,False
30
+ 1,3,female,,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
31
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
32
+ 0,1,male,40.0,0,0,27.7208,C,First,man,True,,Cherbourg,no,True
33
+ 1,1,female,,1,0,146.5208,C,First,woman,False,B,Cherbourg,yes,False
34
+ 1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
35
+ 0,2,male,66.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
36
+ 0,1,male,28.0,1,0,82.1708,C,First,man,True,,Cherbourg,no,False
37
+ 0,1,male,42.0,1,0,52.0,S,First,man,True,,Southampton,no,False
38
+ 1,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,yes,True
39
+ 0,3,male,21.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
40
+ 0,3,female,18.0,2,0,18.0,S,Third,woman,False,,Southampton,no,False
41
+ 1,3,female,14.0,1,0,11.2417,C,Third,child,False,,Cherbourg,yes,False
42
+ 0,3,female,40.0,1,0,9.475,S,Third,woman,False,,Southampton,no,False
43
+ 0,2,female,27.0,1,0,21.0,S,Second,woman,False,,Southampton,no,False
44
+ 0,3,male,,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
45
+ 1,2,female,3.0,1,2,41.5792,C,Second,child,False,,Cherbourg,yes,False
46
+ 1,3,female,19.0,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
47
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
48
+ 0,3,male,,1,0,15.5,Q,Third,man,True,,Queenstown,no,False
49
+ 1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
50
+ 0,3,male,,2,0,21.6792,C,Third,man,True,,Cherbourg,no,False
51
+ 0,3,female,18.0,1,0,17.8,S,Third,woman,False,,Southampton,no,False
52
+ 0,3,male,7.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
53
+ 0,3,male,21.0,0,0,7.8,S,Third,man,True,,Southampton,no,True
54
+ 1,1,female,49.0,1,0,76.7292,C,First,woman,False,D,Cherbourg,yes,False
55
+ 1,2,female,29.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
56
+ 0,1,male,65.0,0,1,61.9792,C,First,man,True,B,Cherbourg,no,False
57
+ 1,1,male,,0,0,35.5,S,First,man,True,C,Southampton,yes,True
58
+ 1,2,female,21.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
59
+ 0,3,male,28.5,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
60
+ 1,2,female,5.0,1,2,27.75,S,Second,child,False,,Southampton,yes,False
61
+ 0,3,male,11.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
62
+ 0,3,male,22.0,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
63
+ 1,1,female,38.0,0,0,80.0,,First,woman,False,B,,yes,True
64
+ 0,1,male,45.0,1,0,83.475,S,First,man,True,C,Southampton,no,False
65
+ 0,3,male,4.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
66
+ 0,1,male,,0,0,27.7208,C,First,man,True,,Cherbourg,no,True
67
+ 1,3,male,,1,1,15.2458,C,Third,man,True,,Cherbourg,yes,False
68
+ 1,2,female,29.0,0,0,10.5,S,Second,woman,False,F,Southampton,yes,True
69
+ 0,3,male,19.0,0,0,8.1583,S,Third,man,True,,Southampton,no,True
70
+ 1,3,female,17.0,4,2,7.925,S,Third,woman,False,,Southampton,yes,False
71
+ 0,3,male,26.0,2,0,8.6625,S,Third,man,True,,Southampton,no,False
72
+ 0,2,male,32.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
73
+ 0,3,female,16.0,5,2,46.9,S,Third,woman,False,,Southampton,no,False
74
+ 0,2,male,21.0,0,0,73.5,S,Second,man,True,,Southampton,no,True
75
+ 0,3,male,26.0,1,0,14.4542,C,Third,man,True,,Cherbourg,no,False
76
+ 1,3,male,32.0,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
77
+ 0,3,male,25.0,0,0,7.65,S,Third,man,True,F,Southampton,no,True
78
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
79
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
80
+ 1,2,male,0.83,0,2,29.0,S,Second,child,False,,Southampton,yes,False
81
+ 1,3,female,30.0,0,0,12.475,S,Third,woman,False,,Southampton,yes,True
82
+ 0,3,male,22.0,0,0,9.0,S,Third,man,True,,Southampton,no,True
83
+ 1,3,male,29.0,0,0,9.5,S,Third,man,True,,Southampton,yes,True
84
+ 1,3,female,,0,0,7.7875,Q,Third,woman,False,,Queenstown,yes,True
85
+ 0,1,male,28.0,0,0,47.1,S,First,man,True,,Southampton,no,True
86
+ 1,2,female,17.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
87
+ 1,3,female,33.0,3,0,15.85,S,Third,woman,False,,Southampton,yes,False
88
+ 0,3,male,16.0,1,3,34.375,S,Third,man,True,,Southampton,no,False
89
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
90
+ 1,1,female,23.0,3,2,263.0,S,First,woman,False,C,Southampton,yes,False
91
+ 0,3,male,24.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
92
+ 0,3,male,29.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
93
+ 0,3,male,20.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
94
+ 0,1,male,46.0,1,0,61.175,S,First,man,True,E,Southampton,no,False
95
+ 0,3,male,26.0,1,2,20.575,S,Third,man,True,,Southampton,no,False
96
+ 0,3,male,59.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
97
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
98
+ 0,1,male,71.0,0,0,34.6542,C,First,man,True,A,Cherbourg,no,True
99
+ 1,1,male,23.0,0,1,63.3583,C,First,man,True,D,Cherbourg,yes,False
100
+ 1,2,female,34.0,0,1,23.0,S,Second,woman,False,,Southampton,yes,False
101
+ 0,2,male,34.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
102
+ 0,3,female,28.0,0,0,7.8958,S,Third,woman,False,,Southampton,no,True
103
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
104
+ 0,1,male,21.0,0,1,77.2875,S,First,man,True,D,Southampton,no,False
105
+ 0,3,male,33.0,0,0,8.6542,S,Third,man,True,,Southampton,no,True
106
+ 0,3,male,37.0,2,0,7.925,S,Third,man,True,,Southampton,no,False
107
+ 0,3,male,28.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
108
+ 1,3,female,21.0,0,0,7.65,S,Third,woman,False,,Southampton,yes,True
109
+ 1,3,male,,0,0,7.775,S,Third,man,True,,Southampton,yes,True
110
+ 0,3,male,38.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
111
+ 1,3,female,,1,0,24.15,Q,Third,woman,False,,Queenstown,yes,False
112
+ 0,1,male,47.0,0,0,52.0,S,First,man,True,C,Southampton,no,True
113
+ 0,3,female,14.5,1,0,14.4542,C,Third,child,False,,Cherbourg,no,False
114
+ 0,3,male,22.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
115
+ 0,3,female,20.0,1,0,9.825,S,Third,woman,False,,Southampton,no,False
116
+ 0,3,female,17.0,0,0,14.4583,C,Third,woman,False,,Cherbourg,no,True
117
+ 0,3,male,21.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
118
+ 0,3,male,70.5,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
119
+ 0,2,male,29.0,1,0,21.0,S,Second,man,True,,Southampton,no,False
120
+ 0,1,male,24.0,0,1,247.5208,C,First,man,True,B,Cherbourg,no,False
121
+ 0,3,female,2.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
122
+ 0,2,male,21.0,2,0,73.5,S,Second,man,True,,Southampton,no,False
123
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
124
+ 0,2,male,32.5,1,0,30.0708,C,Second,man,True,,Cherbourg,no,False
125
+ 1,2,female,32.5,0,0,13.0,S,Second,woman,False,E,Southampton,yes,True
126
+ 0,1,male,54.0,0,1,77.2875,S,First,man,True,D,Southampton,no,False
127
+ 1,3,male,12.0,1,0,11.2417,C,Third,child,False,,Cherbourg,yes,False
128
+ 0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
129
+ 1,3,male,24.0,0,0,7.1417,S,Third,man,True,,Southampton,yes,True
130
+ 1,3,female,,1,1,22.3583,C,Third,woman,False,F,Cherbourg,yes,False
131
+ 0,3,male,45.0,0,0,6.975,S,Third,man,True,,Southampton,no,True
132
+ 0,3,male,33.0,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
133
+ 0,3,male,20.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
134
+ 0,3,female,47.0,1,0,14.5,S,Third,woman,False,,Southampton,no,False
135
+ 1,2,female,29.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
136
+ 0,2,male,25.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
137
+ 0,2,male,23.0,0,0,15.0458,C,Second,man,True,,Cherbourg,no,True
138
+ 1,1,female,19.0,0,2,26.2833,S,First,woman,False,D,Southampton,yes,False
139
+ 0,1,male,37.0,1,0,53.1,S,First,man,True,C,Southampton,no,False
140
+ 0,3,male,16.0,0,0,9.2167,S,Third,man,True,,Southampton,no,True
141
+ 0,1,male,24.0,0,0,79.2,C,First,man,True,B,Cherbourg,no,True
142
+ 0,3,female,,0,2,15.2458,C,Third,woman,False,,Cherbourg,no,False
143
+ 1,3,female,22.0,0,0,7.75,S,Third,woman,False,,Southampton,yes,True
144
+ 1,3,female,24.0,1,0,15.85,S,Third,woman,False,,Southampton,yes,False
145
+ 0,3,male,19.0,0,0,6.75,Q,Third,man,True,,Queenstown,no,True
146
+ 0,2,male,18.0,0,0,11.5,S,Second,man,True,,Southampton,no,True
147
+ 0,2,male,19.0,1,1,36.75,S,Second,man,True,,Southampton,no,False
148
+ 1,3,male,27.0,0,0,7.7958,S,Third,man,True,,Southampton,yes,True
149
+ 0,3,female,9.0,2,2,34.375,S,Third,child,False,,Southampton,no,False
150
+ 0,2,male,36.5,0,2,26.0,S,Second,man,True,F,Southampton,no,False
151
+ 0,2,male,42.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
152
+ 0,2,male,51.0,0,0,12.525,S,Second,man,True,,Southampton,no,True
153
+ 1,1,female,22.0,1,0,66.6,S,First,woman,False,C,Southampton,yes,False
154
+ 0,3,male,55.5,0,0,8.05,S,Third,man,True,,Southampton,no,True
155
+ 0,3,male,40.5,0,2,14.5,S,Third,man,True,,Southampton,no,False
156
+ 0,3,male,,0,0,7.3125,S,Third,man,True,,Southampton,no,True
157
+ 0,1,male,51.0,0,1,61.3792,C,First,man,True,,Cherbourg,no,False
158
+ 1,3,female,16.0,0,0,7.7333,Q,Third,woman,False,,Queenstown,yes,True
159
+ 0,3,male,30.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
160
+ 0,3,male,,0,0,8.6625,S,Third,man,True,,Southampton,no,True
161
+ 0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
162
+ 0,3,male,44.0,0,1,16.1,S,Third,man,True,,Southampton,no,False
163
+ 1,2,female,40.0,0,0,15.75,S,Second,woman,False,,Southampton,yes,True
164
+ 0,3,male,26.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
165
+ 0,3,male,17.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
166
+ 0,3,male,1.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
167
+ 1,3,male,9.0,0,2,20.525,S,Third,child,False,,Southampton,yes,False
168
+ 1,1,female,,0,1,55.0,S,First,woman,False,E,Southampton,yes,False
169
+ 0,3,female,45.0,1,4,27.9,S,Third,woman,False,,Southampton,no,False
170
+ 0,1,male,,0,0,25.925,S,First,man,True,,Southampton,no,True
171
+ 0,3,male,28.0,0,0,56.4958,S,Third,man,True,,Southampton,no,True
172
+ 0,1,male,61.0,0,0,33.5,S,First,man,True,B,Southampton,no,True
173
+ 0,3,male,4.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
174
+ 1,3,female,1.0,1,1,11.1333,S,Third,child,False,,Southampton,yes,False
175
+ 0,3,male,21.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
176
+ 0,1,male,56.0,0,0,30.6958,C,First,man,True,A,Cherbourg,no,True
177
+ 0,3,male,18.0,1,1,7.8542,S,Third,man,True,,Southampton,no,False
178
+ 0,3,male,,3,1,25.4667,S,Third,man,True,,Southampton,no,False
179
+ 0,1,female,50.0,0,0,28.7125,C,First,woman,False,C,Cherbourg,no,True
180
+ 0,2,male,30.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
181
+ 0,3,male,36.0,0,0,0.0,S,Third,man,True,,Southampton,no,True
182
+ 0,3,female,,8,2,69.55,S,Third,woman,False,,Southampton,no,False
183
+ 0,2,male,,0,0,15.05,C,Second,man,True,,Cherbourg,no,True
184
+ 0,3,male,9.0,4,2,31.3875,S,Third,child,False,,Southampton,no,False
185
+ 1,2,male,1.0,2,1,39.0,S,Second,child,False,F,Southampton,yes,False
186
+ 1,3,female,4.0,0,2,22.025,S,Third,child,False,,Southampton,yes,False
187
+ 0,1,male,,0,0,50.0,S,First,man,True,A,Southampton,no,True
188
+ 1,3,female,,1,0,15.5,Q,Third,woman,False,,Queenstown,yes,False
189
+ 1,1,male,45.0,0,0,26.55,S,First,man,True,,Southampton,yes,True
190
+ 0,3,male,40.0,1,1,15.5,Q,Third,man,True,,Queenstown,no,False
191
+ 0,3,male,36.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
192
+ 1,2,female,32.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
193
+ 0,2,male,19.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
194
+ 1,3,female,19.0,1,0,7.8542,S,Third,woman,False,,Southampton,yes,False
195
+ 1,2,male,3.0,1,1,26.0,S,Second,child,False,F,Southampton,yes,False
196
+ 1,1,female,44.0,0,0,27.7208,C,First,woman,False,B,Cherbourg,yes,True
197
+ 1,1,female,58.0,0,0,146.5208,C,First,woman,False,B,Cherbourg,yes,True
198
+ 0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
199
+ 0,3,male,42.0,0,1,8.4042,S,Third,man,True,,Southampton,no,False
200
+ 1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
201
+ 0,2,female,24.0,0,0,13.0,S,Second,woman,False,,Southampton,no,True
202
+ 0,3,male,28.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
203
+ 0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
204
+ 0,3,male,34.0,0,0,6.4958,S,Third,man,True,,Southampton,no,True
205
+ 0,3,male,45.5,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
206
+ 1,3,male,18.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
207
+ 0,3,female,2.0,0,1,10.4625,S,Third,child,False,G,Southampton,no,False
208
+ 0,3,male,32.0,1,0,15.85,S,Third,man,True,,Southampton,no,False
209
+ 1,3,male,26.0,0,0,18.7875,C,Third,man,True,,Cherbourg,yes,True
210
+ 1,3,female,16.0,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
211
+ 1,1,male,40.0,0,0,31.0,C,First,man,True,A,Cherbourg,yes,True
212
+ 0,3,male,24.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
213
+ 1,2,female,35.0,0,0,21.0,S,Second,woman,False,,Southampton,yes,True
214
+ 0,3,male,22.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
215
+ 0,2,male,30.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
216
+ 0,3,male,,1,0,7.75,Q,Third,man,True,,Queenstown,no,False
217
+ 1,1,female,31.0,1,0,113.275,C,First,woman,False,D,Cherbourg,yes,False
218
+ 1,3,female,27.0,0,0,7.925,S,Third,woman,False,,Southampton,yes,True
219
+ 0,2,male,42.0,1,0,27.0,S,Second,man,True,,Southampton,no,False
220
+ 1,1,female,32.0,0,0,76.2917,C,First,woman,False,D,Cherbourg,yes,True
221
+ 0,2,male,30.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
222
+ 1,3,male,16.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
223
+ 0,2,male,27.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
224
+ 0,3,male,51.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
225
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
226
+ 1,1,male,38.0,1,0,90.0,S,First,man,True,C,Southampton,yes,False
227
+ 0,3,male,22.0,0,0,9.35,S,Third,man,True,,Southampton,no,True
228
+ 1,2,male,19.0,0,0,10.5,S,Second,man,True,,Southampton,yes,True
229
+ 0,3,male,20.5,0,0,7.25,S,Third,man,True,,Southampton,no,True
230
+ 0,2,male,18.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
231
+ 0,3,female,,3,1,25.4667,S,Third,woman,False,,Southampton,no,False
232
+ 1,1,female,35.0,1,0,83.475,S,First,woman,False,C,Southampton,yes,False
233
+ 0,3,male,29.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
234
+ 0,2,male,59.0,0,0,13.5,S,Second,man,True,,Southampton,no,True
235
+ 1,3,female,5.0,4,2,31.3875,S,Third,child,False,,Southampton,yes,False
236
+ 0,2,male,24.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
237
+ 0,3,female,,0,0,7.55,S,Third,woman,False,,Southampton,no,True
238
+ 0,2,male,44.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
239
+ 1,2,female,8.0,0,2,26.25,S,Second,child,False,,Southampton,yes,False
240
+ 0,2,male,19.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
241
+ 0,2,male,33.0,0,0,12.275,S,Second,man,True,,Southampton,no,True
242
+ 0,3,female,,1,0,14.4542,C,Third,woman,False,,Cherbourg,no,False
243
+ 1,3,female,,1,0,15.5,Q,Third,woman,False,,Queenstown,yes,False
244
+ 0,2,male,29.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
245
+ 0,3,male,22.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
246
+ 0,3,male,30.0,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
247
+ 0,1,male,44.0,2,0,90.0,Q,First,man,True,C,Queenstown,no,False
248
+ 0,3,female,25.0,0,0,7.775,S,Third,woman,False,,Southampton,no,True
249
+ 1,2,female,24.0,0,2,14.5,S,Second,woman,False,,Southampton,yes,False
250
+ 1,1,male,37.0,1,1,52.5542,S,First,man,True,D,Southampton,yes,False
251
+ 0,2,male,54.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
252
+ 0,3,male,,0,0,7.25,S,Third,man,True,,Southampton,no,True
253
+ 0,3,female,29.0,1,1,10.4625,S,Third,woman,False,G,Southampton,no,False
254
+ 0,1,male,62.0,0,0,26.55,S,First,man,True,C,Southampton,no,True
255
+ 0,3,male,30.0,1,0,16.1,S,Third,man,True,,Southampton,no,False
256
+ 0,3,female,41.0,0,2,20.2125,S,Third,woman,False,,Southampton,no,False
257
+ 1,3,female,29.0,0,2,15.2458,C,Third,woman,False,,Cherbourg,yes,False
258
+ 1,1,female,,0,0,79.2,C,First,woman,False,,Cherbourg,yes,True
259
+ 1,1,female,30.0,0,0,86.5,S,First,woman,False,B,Southampton,yes,True
260
+ 1,1,female,35.0,0,0,512.3292,C,First,woman,False,,Cherbourg,yes,True
261
+ 1,2,female,50.0,0,1,26.0,S,Second,woman,False,,Southampton,yes,False
262
+ 0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
263
+ 1,3,male,3.0,4,2,31.3875,S,Third,child,False,,Southampton,yes,False
264
+ 0,1,male,52.0,1,1,79.65,S,First,man,True,E,Southampton,no,False
265
+ 0,1,male,40.0,0,0,0.0,S,First,man,True,B,Southampton,no,True
266
+ 0,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,no,True
267
+ 0,2,male,36.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
268
+ 0,3,male,16.0,4,1,39.6875,S,Third,man,True,,Southampton,no,False
269
+ 1,3,male,25.0,1,0,7.775,S,Third,man,True,,Southampton,yes,False
270
+ 1,1,female,58.0,0,1,153.4625,S,First,woman,False,C,Southampton,yes,False
271
+ 1,1,female,35.0,0,0,135.6333,S,First,woman,False,C,Southampton,yes,True
272
+ 0,1,male,,0,0,31.0,S,First,man,True,,Southampton,no,True
273
+ 1,3,male,25.0,0,0,0.0,S,Third,man,True,,Southampton,yes,True
274
+ 1,2,female,41.0,0,1,19.5,S,Second,woman,False,,Southampton,yes,False
275
+ 0,1,male,37.0,0,1,29.7,C,First,man,True,C,Cherbourg,no,False
276
+ 1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
277
+ 1,1,female,63.0,1,0,77.9583,S,First,woman,False,D,Southampton,yes,False
278
+ 0,3,female,45.0,0,0,7.75,S,Third,woman,False,,Southampton,no,True
279
+ 0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
280
+ 0,3,male,7.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
281
+ 1,3,female,35.0,1,1,20.25,S,Third,woman,False,,Southampton,yes,False
282
+ 0,3,male,65.0,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
283
+ 0,3,male,28.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
284
+ 0,3,male,16.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
285
+ 1,3,male,19.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
286
+ 0,1,male,,0,0,26.0,S,First,man,True,A,Southampton,no,True
287
+ 0,3,male,33.0,0,0,8.6625,C,Third,man,True,,Cherbourg,no,True
288
+ 1,3,male,30.0,0,0,9.5,S,Third,man,True,,Southampton,yes,True
289
+ 0,3,male,22.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
290
+ 1,2,male,42.0,0,0,13.0,S,Second,man,True,,Southampton,yes,True
291
+ 1,3,female,22.0,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
292
+ 1,1,female,26.0,0,0,78.85,S,First,woman,False,,Southampton,yes,True
293
+ 1,1,female,19.0,1,0,91.0792,C,First,woman,False,B,Cherbourg,yes,False
294
+ 0,2,male,36.0,0,0,12.875,C,Second,man,True,D,Cherbourg,no,True
295
+ 0,3,female,24.0,0,0,8.85,S,Third,woman,False,,Southampton,no,True
296
+ 0,3,male,24.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
297
+ 0,1,male,,0,0,27.7208,C,First,man,True,,Cherbourg,no,True
298
+ 0,3,male,23.5,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
299
+ 0,1,female,2.0,1,2,151.55,S,First,child,False,C,Southampton,no,False
300
+ 1,1,male,,0,0,30.5,S,First,man,True,C,Southampton,yes,True
301
+ 1,1,female,50.0,0,1,247.5208,C,First,woman,False,B,Cherbourg,yes,False
302
+ 1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
303
+ 1,3,male,,2,0,23.25,Q,Third,man,True,,Queenstown,yes,False
304
+ 0,3,male,19.0,0,0,0.0,S,Third,man,True,,Southampton,no,True
305
+ 1,2,female,,0,0,12.35,Q,Second,woman,False,E,Queenstown,yes,True
306
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
307
+ 1,1,male,0.92,1,2,151.55,S,First,child,False,C,Southampton,yes,False
308
+ 1,1,female,,0,0,110.8833,C,First,woman,False,,Cherbourg,yes,True
309
+ 1,1,female,17.0,1,0,108.9,C,First,woman,False,C,Cherbourg,yes,False
310
+ 0,2,male,30.0,1,0,24.0,C,Second,man,True,,Cherbourg,no,False
311
+ 1,1,female,30.0,0,0,56.9292,C,First,woman,False,E,Cherbourg,yes,True
312
+ 1,1,female,24.0,0,0,83.1583,C,First,woman,False,C,Cherbourg,yes,True
313
+ 1,1,female,18.0,2,2,262.375,C,First,woman,False,B,Cherbourg,yes,False
314
+ 0,2,female,26.0,1,1,26.0,S,Second,woman,False,,Southampton,no,False
315
+ 0,3,male,28.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
316
+ 0,2,male,43.0,1,1,26.25,S,Second,man,True,,Southampton,no,False
317
+ 1,3,female,26.0,0,0,7.8542,S,Third,woman,False,,Southampton,yes,True
318
+ 1,2,female,24.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
319
+ 0,2,male,54.0,0,0,14.0,S,Second,man,True,,Southampton,no,True
320
+ 1,1,female,31.0,0,2,164.8667,S,First,woman,False,C,Southampton,yes,False
321
+ 1,1,female,40.0,1,1,134.5,C,First,woman,False,E,Cherbourg,yes,False
322
+ 0,3,male,22.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
323
+ 0,3,male,27.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
324
+ 1,2,female,30.0,0,0,12.35,Q,Second,woman,False,,Queenstown,yes,True
325
+ 1,2,female,22.0,1,1,29.0,S,Second,woman,False,,Southampton,yes,False
326
+ 0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
327
+ 1,1,female,36.0,0,0,135.6333,C,First,woman,False,C,Cherbourg,yes,True
328
+ 0,3,male,61.0,0,0,6.2375,S,Third,man,True,,Southampton,no,True
329
+ 1,2,female,36.0,0,0,13.0,S,Second,woman,False,D,Southampton,yes,True
330
+ 1,3,female,31.0,1,1,20.525,S,Third,woman,False,,Southampton,yes,False
331
+ 1,1,female,16.0,0,1,57.9792,C,First,woman,False,B,Cherbourg,yes,False
332
+ 1,3,female,,2,0,23.25,Q,Third,woman,False,,Queenstown,yes,False
333
+ 0,1,male,45.5,0,0,28.5,S,First,man,True,C,Southampton,no,True
334
+ 0,1,male,38.0,0,1,153.4625,S,First,man,True,C,Southampton,no,False
335
+ 0,3,male,16.0,2,0,18.0,S,Third,man,True,,Southampton,no,False
336
+ 1,1,female,,1,0,133.65,S,First,woman,False,,Southampton,yes,False
337
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
338
+ 0,1,male,29.0,1,0,66.6,S,First,man,True,C,Southampton,no,False
339
+ 1,1,female,41.0,0,0,134.5,C,First,woman,False,E,Cherbourg,yes,True
340
+ 1,3,male,45.0,0,0,8.05,S,Third,man,True,,Southampton,yes,True
341
+ 0,1,male,45.0,0,0,35.5,S,First,man,True,,Southampton,no,True
342
+ 1,2,male,2.0,1,1,26.0,S,Second,child,False,F,Southampton,yes,False
343
+ 1,1,female,24.0,3,2,263.0,S,First,woman,False,C,Southampton,yes,False
344
+ 0,2,male,28.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
345
+ 0,2,male,25.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
346
+ 0,2,male,36.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
347
+ 1,2,female,24.0,0,0,13.0,S,Second,woman,False,F,Southampton,yes,True
348
+ 1,2,female,40.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
349
+ 1,3,female,,1,0,16.1,S,Third,woman,False,,Southampton,yes,False
350
+ 1,3,male,3.0,1,1,15.9,S,Third,child,False,,Southampton,yes,False
351
+ 0,3,male,42.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
352
+ 0,3,male,23.0,0,0,9.225,S,Third,man,True,,Southampton,no,True
353
+ 0,1,male,,0,0,35.0,S,First,man,True,C,Southampton,no,True
354
+ 0,3,male,15.0,1,1,7.2292,C,Third,child,False,,Cherbourg,no,False
355
+ 0,3,male,25.0,1,0,17.8,S,Third,man,True,,Southampton,no,False
356
+ 0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
357
+ 0,3,male,28.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
358
+ 1,1,female,22.0,0,1,55.0,S,First,woman,False,E,Southampton,yes,False
359
+ 0,2,female,38.0,0,0,13.0,S,Second,woman,False,,Southampton,no,True
360
+ 1,3,female,,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
361
+ 1,3,female,,0,0,7.8792,Q,Third,woman,False,,Queenstown,yes,True
362
+ 0,3,male,40.0,1,4,27.9,S,Third,man,True,,Southampton,no,False
363
+ 0,2,male,29.0,1,0,27.7208,C,Second,man,True,,Cherbourg,no,False
364
+ 0,3,female,45.0,0,1,14.4542,C,Third,woman,False,,Cherbourg,no,False
365
+ 0,3,male,35.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
366
+ 0,3,male,,1,0,15.5,Q,Third,man,True,,Queenstown,no,False
367
+ 0,3,male,30.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
368
+ 1,1,female,60.0,1,0,75.25,C,First,woman,False,D,Cherbourg,yes,False
369
+ 1,3,female,,0,0,7.2292,C,Third,woman,False,,Cherbourg,yes,True
370
+ 1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
371
+ 1,1,female,24.0,0,0,69.3,C,First,woman,False,B,Cherbourg,yes,True
372
+ 1,1,male,25.0,1,0,55.4417,C,First,man,True,E,Cherbourg,yes,False
373
+ 0,3,male,18.0,1,0,6.4958,S,Third,man,True,,Southampton,no,False
374
+ 0,3,male,19.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
375
+ 0,1,male,22.0,0,0,135.6333,C,First,man,True,,Cherbourg,no,True
376
+ 0,3,female,3.0,3,1,21.075,S,Third,child,False,,Southampton,no,False
377
+ 1,1,female,,1,0,82.1708,C,First,woman,False,,Cherbourg,yes,False
378
+ 1,3,female,22.0,0,0,7.25,S,Third,woman,False,,Southampton,yes,True
379
+ 0,1,male,27.0,0,2,211.5,C,First,man,True,C,Cherbourg,no,False
380
+ 0,3,male,20.0,0,0,4.0125,C,Third,man,True,,Cherbourg,no,True
381
+ 0,3,male,19.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
382
+ 1,1,female,42.0,0,0,227.525,C,First,woman,False,,Cherbourg,yes,True
383
+ 1,3,female,1.0,0,2,15.7417,C,Third,child,False,,Cherbourg,yes,False
384
+ 0,3,male,32.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
385
+ 1,1,female,35.0,1,0,52.0,S,First,woman,False,,Southampton,yes,False
386
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
387
+ 0,2,male,18.0,0,0,73.5,S,Second,man,True,,Southampton,no,True
388
+ 0,3,male,1.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
389
+ 1,2,female,36.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
390
+ 0,3,male,,0,0,7.7292,Q,Third,man,True,,Queenstown,no,True
391
+ 1,2,female,17.0,0,0,12.0,C,Second,woman,False,,Cherbourg,yes,True
392
+ 1,1,male,36.0,1,2,120.0,S,First,man,True,B,Southampton,yes,False
393
+ 1,3,male,21.0,0,0,7.7958,S,Third,man,True,,Southampton,yes,True
394
+ 0,3,male,28.0,2,0,7.925,S,Third,man,True,,Southampton,no,False
395
+ 1,1,female,23.0,1,0,113.275,C,First,woman,False,D,Cherbourg,yes,False
396
+ 1,3,female,24.0,0,2,16.7,S,Third,woman,False,G,Southampton,yes,False
397
+ 0,3,male,22.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
398
+ 0,3,female,31.0,0,0,7.8542,S,Third,woman,False,,Southampton,no,True
399
+ 0,2,male,46.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
400
+ 0,2,male,23.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
401
+ 1,2,female,28.0,0,0,12.65,S,Second,woman,False,,Southampton,yes,True
402
+ 1,3,male,39.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
403
+ 0,3,male,26.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
404
+ 0,3,female,21.0,1,0,9.825,S,Third,woman,False,,Southampton,no,False
405
+ 0,3,male,28.0,1,0,15.85,S,Third,man,True,,Southampton,no,False
406
+ 0,3,female,20.0,0,0,8.6625,S,Third,woman,False,,Southampton,no,True
407
+ 0,2,male,34.0,1,0,21.0,S,Second,man,True,,Southampton,no,False
408
+ 0,3,male,51.0,0,0,7.75,S,Third,man,True,,Southampton,no,True
409
+ 1,2,male,3.0,1,1,18.75,S,Second,child,False,,Southampton,yes,False
410
+ 0,3,male,21.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
411
+ 0,3,female,,3,1,25.4667,S,Third,woman,False,,Southampton,no,False
412
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
413
+ 0,3,male,,0,0,6.8583,Q,Third,man,True,,Queenstown,no,True
414
+ 1,1,female,33.0,1,0,90.0,Q,First,woman,False,C,Queenstown,yes,False
415
+ 0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
416
+ 1,3,male,44.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
417
+ 0,3,female,,0,0,8.05,S,Third,woman,False,,Southampton,no,True
418
+ 1,2,female,34.0,1,1,32.5,S,Second,woman,False,,Southampton,yes,False
419
+ 1,2,female,18.0,0,2,13.0,S,Second,woman,False,,Southampton,yes,False
420
+ 0,2,male,30.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
421
+ 0,3,female,10.0,0,2,24.15,S,Third,child,False,,Southampton,no,False
422
+ 0,3,male,,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
423
+ 0,3,male,21.0,0,0,7.7333,Q,Third,man,True,,Queenstown,no,True
424
+ 0,3,male,29.0,0,0,7.875,S,Third,man,True,,Southampton,no,True
425
+ 0,3,female,28.0,1,1,14.4,S,Third,woman,False,,Southampton,no,False
426
+ 0,3,male,18.0,1,1,20.2125,S,Third,man,True,,Southampton,no,False
427
+ 0,3,male,,0,0,7.25,S,Third,man,True,,Southampton,no,True
428
+ 1,2,female,28.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
429
+ 1,2,female,19.0,0,0,26.0,S,Second,woman,False,,Southampton,yes,True
430
+ 0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
431
+ 1,3,male,32.0,0,0,8.05,S,Third,man,True,E,Southampton,yes,True
432
+ 1,1,male,28.0,0,0,26.55,S,First,man,True,C,Southampton,yes,True
433
+ 1,3,female,,1,0,16.1,S,Third,woman,False,,Southampton,yes,False
434
+ 1,2,female,42.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
435
+ 0,3,male,17.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
436
+ 0,1,male,50.0,1,0,55.9,S,First,man,True,E,Southampton,no,False
437
+ 1,1,female,14.0,1,2,120.0,S,First,child,False,B,Southampton,yes,False
438
+ 0,3,female,21.0,2,2,34.375,S,Third,woman,False,,Southampton,no,False
439
+ 1,2,female,24.0,2,3,18.75,S,Second,woman,False,,Southampton,yes,False
440
+ 0,1,male,64.0,1,4,263.0,S,First,man,True,C,Southampton,no,False
441
+ 0,2,male,31.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
442
+ 1,2,female,45.0,1,1,26.25,S,Second,woman,False,,Southampton,yes,False
443
+ 0,3,male,20.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
444
+ 0,3,male,25.0,1,0,7.775,S,Third,man,True,,Southampton,no,False
445
+ 1,2,female,28.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
446
+ 1,3,male,,0,0,8.1125,S,Third,man,True,,Southampton,yes,True
447
+ 1,1,male,4.0,0,2,81.8583,S,First,child,False,A,Southampton,yes,False
448
+ 1,2,female,13.0,0,1,19.5,S,Second,child,False,,Southampton,yes,False
449
+ 1,1,male,34.0,0,0,26.55,S,First,man,True,,Southampton,yes,True
450
+ 1,3,female,5.0,2,1,19.2583,C,Third,child,False,,Cherbourg,yes,False
451
+ 1,1,male,52.0,0,0,30.5,S,First,man,True,C,Southampton,yes,True
452
+ 0,2,male,36.0,1,2,27.75,S,Second,man,True,,Southampton,no,False
453
+ 0,3,male,,1,0,19.9667,S,Third,man,True,,Southampton,no,False
454
+ 0,1,male,30.0,0,0,27.75,C,First,man,True,C,Cherbourg,no,True
455
+ 1,1,male,49.0,1,0,89.1042,C,First,man,True,C,Cherbourg,yes,False
456
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
457
+ 1,3,male,29.0,0,0,7.8958,C,Third,man,True,,Cherbourg,yes,True
458
+ 0,1,male,65.0,0,0,26.55,S,First,man,True,E,Southampton,no,True
459
+ 1,1,female,,1,0,51.8625,S,First,woman,False,D,Southampton,yes,False
460
+ 1,2,female,50.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
461
+ 0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
462
+ 1,1,male,48.0,0,0,26.55,S,First,man,True,E,Southampton,yes,True
463
+ 0,3,male,34.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
464
+ 0,1,male,47.0,0,0,38.5,S,First,man,True,E,Southampton,no,True
465
+ 0,2,male,48.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
466
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
467
+ 0,3,male,38.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
468
+ 0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
469
+ 0,1,male,56.0,0,0,26.55,S,First,man,True,,Southampton,no,True
470
+ 0,3,male,,0,0,7.725,Q,Third,man,True,,Queenstown,no,True
471
+ 1,3,female,0.75,2,1,19.2583,C,Third,child,False,,Cherbourg,yes,False
472
+ 0,3,male,,0,0,7.25,S,Third,man,True,,Southampton,no,True
473
+ 0,3,male,38.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
474
+ 1,2,female,33.0,1,2,27.75,S,Second,woman,False,,Southampton,yes,False
475
+ 1,2,female,23.0,0,0,13.7917,C,Second,woman,False,D,Cherbourg,yes,True
476
+ 0,3,female,22.0,0,0,9.8375,S,Third,woman,False,,Southampton,no,True
477
+ 0,1,male,,0,0,52.0,S,First,man,True,A,Southampton,no,True
478
+ 0,2,male,34.0,1,0,21.0,S,Second,man,True,,Southampton,no,False
479
+ 0,3,male,29.0,1,0,7.0458,S,Third,man,True,,Southampton,no,False
480
+ 0,3,male,22.0,0,0,7.5208,S,Third,man,True,,Southampton,no,True
481
+ 1,3,female,2.0,0,1,12.2875,S,Third,child,False,,Southampton,yes,False
482
+ 0,3,male,9.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
483
+ 0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
484
+ 0,3,male,50.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
485
+ 1,3,female,63.0,0,0,9.5875,S,Third,woman,False,,Southampton,yes,True
486
+ 1,1,male,25.0,1,0,91.0792,C,First,man,True,B,Cherbourg,yes,False
487
+ 0,3,female,,3,1,25.4667,S,Third,woman,False,,Southampton,no,False
488
+ 1,1,female,35.0,1,0,90.0,S,First,woman,False,C,Southampton,yes,False
489
+ 0,1,male,58.0,0,0,29.7,C,First,man,True,B,Cherbourg,no,True
490
+ 0,3,male,30.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
491
+ 1,3,male,9.0,1,1,15.9,S,Third,child,False,,Southampton,yes,False
492
+ 0,3,male,,1,0,19.9667,S,Third,man,True,,Southampton,no,False
493
+ 0,3,male,21.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
494
+ 0,1,male,55.0,0,0,30.5,S,First,man,True,C,Southampton,no,True
495
+ 0,1,male,71.0,0,0,49.5042,C,First,man,True,,Cherbourg,no,True
496
+ 0,3,male,21.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
497
+ 0,3,male,,0,0,14.4583,C,Third,man,True,,Cherbourg,no,True
498
+ 1,1,female,54.0,1,0,78.2667,C,First,woman,False,D,Cherbourg,yes,False
499
+ 0,3,male,,0,0,15.1,S,Third,man,True,,Southampton,no,True
500
+ 0,1,female,25.0,1,2,151.55,S,First,woman,False,C,Southampton,no,False
501
+ 0,3,male,24.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
502
+ 0,3,male,17.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
503
+ 0,3,female,21.0,0,0,7.75,Q,Third,woman,False,,Queenstown,no,True
504
+ 0,3,female,,0,0,7.6292,Q,Third,woman,False,,Queenstown,no,True
505
+ 0,3,female,37.0,0,0,9.5875,S,Third,woman,False,,Southampton,no,True
506
+ 1,1,female,16.0,0,0,86.5,S,First,woman,False,B,Southampton,yes,True
507
+ 0,1,male,18.0,1,0,108.9,C,First,man,True,C,Cherbourg,no,False
508
+ 1,2,female,33.0,0,2,26.0,S,Second,woman,False,,Southampton,yes,False
509
+ 1,1,male,,0,0,26.55,S,First,man,True,,Southampton,yes,True
510
+ 0,3,male,28.0,0,0,22.525,S,Third,man,True,,Southampton,no,True
511
+ 1,3,male,26.0,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
512
+ 1,3,male,29.0,0,0,7.75,Q,Third,man,True,,Queenstown,yes,True
513
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
514
+ 1,1,male,36.0,0,0,26.2875,S,First,man,True,E,Southampton,yes,True
515
+ 1,1,female,54.0,1,0,59.4,C,First,woman,False,,Cherbourg,yes,False
516
+ 0,3,male,24.0,0,0,7.4958,S,Third,man,True,,Southampton,no,True
517
+ 0,1,male,47.0,0,0,34.0208,S,First,man,True,D,Southampton,no,True
518
+ 1,2,female,34.0,0,0,10.5,S,Second,woman,False,F,Southampton,yes,True
519
+ 0,3,male,,0,0,24.15,Q,Third,man,True,,Queenstown,no,True
520
+ 1,2,female,36.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
521
+ 0,3,male,32.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
522
+ 1,1,female,30.0,0,0,93.5,S,First,woman,False,B,Southampton,yes,True
523
+ 0,3,male,22.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
524
+ 0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
525
+ 1,1,female,44.0,0,1,57.9792,C,First,woman,False,B,Cherbourg,yes,False
526
+ 0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
527
+ 0,3,male,40.5,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
528
+ 1,2,female,50.0,0,0,10.5,S,Second,woman,False,,Southampton,yes,True
529
+ 0,1,male,,0,0,221.7792,S,First,man,True,C,Southampton,no,True
530
+ 0,3,male,39.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
531
+ 0,2,male,23.0,2,1,11.5,S,Second,man,True,,Southampton,no,False
532
+ 1,2,female,2.0,1,1,26.0,S,Second,child,False,,Southampton,yes,False
533
+ 0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
534
+ 0,3,male,17.0,1,1,7.2292,C,Third,man,True,,Cherbourg,no,False
535
+ 1,3,female,,0,2,22.3583,C,Third,woman,False,,Cherbourg,yes,False
536
+ 0,3,female,30.0,0,0,8.6625,S,Third,woman,False,,Southampton,no,True
537
+ 1,2,female,7.0,0,2,26.25,S,Second,child,False,,Southampton,yes,False
538
+ 0,1,male,45.0,0,0,26.55,S,First,man,True,B,Southampton,no,True
539
+ 1,1,female,30.0,0,0,106.425,C,First,woman,False,,Cherbourg,yes,True
540
+ 0,3,male,,0,0,14.5,S,Third,man,True,,Southampton,no,True
541
+ 1,1,female,22.0,0,2,49.5,C,First,woman,False,B,Cherbourg,yes,False
542
+ 1,1,female,36.0,0,2,71.0,S,First,woman,False,B,Southampton,yes,False
543
+ 0,3,female,9.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
544
+ 0,3,female,11.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
545
+ 1,2,male,32.0,1,0,26.0,S,Second,man,True,,Southampton,yes,False
546
+ 0,1,male,50.0,1,0,106.425,C,First,man,True,C,Cherbourg,no,False
547
+ 0,1,male,64.0,0,0,26.0,S,First,man,True,,Southampton,no,True
548
+ 1,2,female,19.0,1,0,26.0,S,Second,woman,False,,Southampton,yes,False
549
+ 1,2,male,,0,0,13.8625,C,Second,man,True,,Cherbourg,yes,True
550
+ 0,3,male,33.0,1,1,20.525,S,Third,man,True,,Southampton,no,False
551
+ 1,2,male,8.0,1,1,36.75,S,Second,child,False,,Southampton,yes,False
552
+ 1,1,male,17.0,0,2,110.8833,C,First,man,True,C,Cherbourg,yes,False
553
+ 0,2,male,27.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
554
+ 0,3,male,,0,0,7.8292,Q,Third,man,True,,Queenstown,no,True
555
+ 1,3,male,22.0,0,0,7.225,C,Third,man,True,,Cherbourg,yes,True
556
+ 1,3,female,22.0,0,0,7.775,S,Third,woman,False,,Southampton,yes,True
557
+ 0,1,male,62.0,0,0,26.55,S,First,man,True,,Southampton,no,True
558
+ 1,1,female,48.0,1,0,39.6,C,First,woman,False,A,Cherbourg,yes,False
559
+ 0,1,male,,0,0,227.525,C,First,man,True,,Cherbourg,no,True
560
+ 1,1,female,39.0,1,1,79.65,S,First,woman,False,E,Southampton,yes,False
561
+ 1,3,female,36.0,1,0,17.4,S,Third,woman,False,,Southampton,yes,False
562
+ 0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
563
+ 0,3,male,40.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
564
+ 0,2,male,28.0,0,0,13.5,S,Second,man,True,,Southampton,no,True
565
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
566
+ 0,3,female,,0,0,8.05,S,Third,woman,False,,Southampton,no,True
567
+ 0,3,male,24.0,2,0,24.15,S,Third,man,True,,Southampton,no,False
568
+ 0,3,male,19.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
569
+ 0,3,female,29.0,0,4,21.075,S,Third,woman,False,,Southampton,no,False
570
+ 0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
571
+ 1,3,male,32.0,0,0,7.8542,S,Third,man,True,,Southampton,yes,True
572
+ 1,2,male,62.0,0,0,10.5,S,Second,man,True,,Southampton,yes,True
573
+ 1,1,female,53.0,2,0,51.4792,S,First,woman,False,C,Southampton,yes,False
574
+ 1,1,male,36.0,0,0,26.3875,S,First,man,True,E,Southampton,yes,True
575
+ 1,3,female,,0,0,7.75,Q,Third,woman,False,,Queenstown,yes,True
576
+ 0,3,male,16.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
577
+ 0,3,male,19.0,0,0,14.5,S,Third,man,True,,Southampton,no,True
578
+ 1,2,female,34.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
579
+ 1,1,female,39.0,1,0,55.9,S,First,woman,False,E,Southampton,yes,False
580
+ 0,3,female,,1,0,14.4583,C,Third,woman,False,,Cherbourg,no,False
581
+ 1,3,male,32.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
582
+ 1,2,female,25.0,1,1,30.0,S,Second,woman,False,,Southampton,yes,False
583
+ 1,1,female,39.0,1,1,110.8833,C,First,woman,False,C,Cherbourg,yes,False
584
+ 0,2,male,54.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
585
+ 0,1,male,36.0,0,0,40.125,C,First,man,True,A,Cherbourg,no,True
586
+ 0,3,male,,0,0,8.7125,C,Third,man,True,,Cherbourg,no,True
587
+ 1,1,female,18.0,0,2,79.65,S,First,woman,False,E,Southampton,yes,False
588
+ 0,2,male,47.0,0,0,15.0,S,Second,man,True,,Southampton,no,True
589
+ 1,1,male,60.0,1,1,79.2,C,First,man,True,B,Cherbourg,yes,False
590
+ 0,3,male,22.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
591
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
592
+ 0,3,male,35.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
593
+ 1,1,female,52.0,1,0,78.2667,C,First,woman,False,D,Cherbourg,yes,False
594
+ 0,3,male,47.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
595
+ 0,3,female,,0,2,7.75,Q,Third,woman,False,,Queenstown,no,False
596
+ 0,2,male,37.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
597
+ 0,3,male,36.0,1,1,24.15,S,Third,man,True,,Southampton,no,False
598
+ 1,2,female,,0,0,33.0,S,Second,woman,False,,Southampton,yes,True
599
+ 0,3,male,49.0,0,0,0.0,S,Third,man,True,,Southampton,no,True
600
+ 0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
601
+ 1,1,male,49.0,1,0,56.9292,C,First,man,True,A,Cherbourg,yes,False
602
+ 1,2,female,24.0,2,1,27.0,S,Second,woman,False,,Southampton,yes,False
603
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
604
+ 0,1,male,,0,0,42.4,S,First,man,True,,Southampton,no,True
605
+ 0,3,male,44.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
606
+ 1,1,male,35.0,0,0,26.55,C,First,man,True,,Cherbourg,yes,True
607
+ 0,3,male,36.0,1,0,15.55,S,Third,man,True,,Southampton,no,False
608
+ 0,3,male,30.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
609
+ 1,1,male,27.0,0,0,30.5,S,First,man,True,,Southampton,yes,True
610
+ 1,2,female,22.0,1,2,41.5792,C,Second,woman,False,,Cherbourg,yes,False
611
+ 1,1,female,40.0,0,0,153.4625,S,First,woman,False,C,Southampton,yes,True
612
+ 0,3,female,39.0,1,5,31.275,S,Third,woman,False,,Southampton,no,False
613
+ 0,3,male,,0,0,7.05,S,Third,man,True,,Southampton,no,True
614
+ 1,3,female,,1,0,15.5,Q,Third,woman,False,,Queenstown,yes,False
615
+ 0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
616
+ 0,3,male,35.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
617
+ 1,2,female,24.0,1,2,65.0,S,Second,woman,False,,Southampton,yes,False
618
+ 0,3,male,34.0,1,1,14.4,S,Third,man,True,,Southampton,no,False
619
+ 0,3,female,26.0,1,0,16.1,S,Third,woman,False,,Southampton,no,False
620
+ 1,2,female,4.0,2,1,39.0,S,Second,child,False,F,Southampton,yes,False
621
+ 0,2,male,26.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
622
+ 0,3,male,27.0,1,0,14.4542,C,Third,man,True,,Cherbourg,no,False
623
+ 1,1,male,42.0,1,0,52.5542,S,First,man,True,D,Southampton,yes,False
624
+ 1,3,male,20.0,1,1,15.7417,C,Third,man,True,,Cherbourg,yes,False
625
+ 0,3,male,21.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
626
+ 0,3,male,21.0,0,0,16.1,S,Third,man,True,,Southampton,no,True
627
+ 0,1,male,61.0,0,0,32.3208,S,First,man,True,D,Southampton,no,True
628
+ 0,2,male,57.0,0,0,12.35,Q,Second,man,True,,Queenstown,no,True
629
+ 1,1,female,21.0,0,0,77.9583,S,First,woman,False,D,Southampton,yes,True
630
+ 0,3,male,26.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
631
+ 0,3,male,,0,0,7.7333,Q,Third,man,True,,Queenstown,no,True
632
+ 1,1,male,80.0,0,0,30.0,S,First,man,True,A,Southampton,yes,True
633
+ 0,3,male,51.0,0,0,7.0542,S,Third,man,True,,Southampton,no,True
634
+ 1,1,male,32.0,0,0,30.5,C,First,man,True,B,Cherbourg,yes,True
635
+ 0,1,male,,0,0,0.0,S,First,man,True,,Southampton,no,True
636
+ 0,3,female,9.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
637
+ 1,2,female,28.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
638
+ 0,3,male,32.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
639
+ 0,2,male,31.0,1,1,26.25,S,Second,man,True,,Southampton,no,False
640
+ 0,3,female,41.0,0,5,39.6875,S,Third,woman,False,,Southampton,no,False
641
+ 0,3,male,,1,0,16.1,S,Third,man,True,,Southampton,no,False
642
+ 0,3,male,20.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
643
+ 1,1,female,24.0,0,0,69.3,C,First,woman,False,B,Cherbourg,yes,True
644
+ 0,3,female,2.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
645
+ 1,3,male,,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
646
+ 1,3,female,0.75,2,1,19.2583,C,Third,child,False,,Cherbourg,yes,False
647
+ 1,1,male,48.0,1,0,76.7292,C,First,man,True,D,Cherbourg,yes,False
648
+ 0,3,male,19.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
649
+ 1,1,male,56.0,0,0,35.5,C,First,man,True,A,Cherbourg,yes,True
650
+ 0,3,male,,0,0,7.55,S,Third,man,True,,Southampton,no,True
651
+ 1,3,female,23.0,0,0,7.55,S,Third,woman,False,,Southampton,yes,True
652
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
653
+ 1,2,female,18.0,0,1,23.0,S,Second,woman,False,,Southampton,yes,False
654
+ 0,3,male,21.0,0,0,8.4333,S,Third,man,True,,Southampton,no,True
655
+ 1,3,female,,0,0,7.8292,Q,Third,woman,False,,Queenstown,yes,True
656
+ 0,3,female,18.0,0,0,6.75,Q,Third,woman,False,,Queenstown,no,True
657
+ 0,2,male,24.0,2,0,73.5,S,Second,man,True,,Southampton,no,False
658
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
659
+ 0,3,female,32.0,1,1,15.5,Q,Third,woman,False,,Queenstown,no,False
660
+ 0,2,male,23.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
661
+ 0,1,male,58.0,0,2,113.275,C,First,man,True,D,Cherbourg,no,False
662
+ 1,1,male,50.0,2,0,133.65,S,First,man,True,,Southampton,yes,False
663
+ 0,3,male,40.0,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
664
+ 0,1,male,47.0,0,0,25.5875,S,First,man,True,E,Southampton,no,True
665
+ 0,3,male,36.0,0,0,7.4958,S,Third,man,True,,Southampton,no,True
666
+ 1,3,male,20.0,1,0,7.925,S,Third,man,True,,Southampton,yes,False
667
+ 0,2,male,32.0,2,0,73.5,S,Second,man,True,,Southampton,no,False
668
+ 0,2,male,25.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
669
+ 0,3,male,,0,0,7.775,S,Third,man,True,,Southampton,no,True
670
+ 0,3,male,43.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
671
+ 1,1,female,,1,0,52.0,S,First,woman,False,C,Southampton,yes,False
672
+ 1,2,female,40.0,1,1,39.0,S,Second,woman,False,,Southampton,yes,False
673
+ 0,1,male,31.0,1,0,52.0,S,First,man,True,B,Southampton,no,False
674
+ 0,2,male,70.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
675
+ 1,2,male,31.0,0,0,13.0,S,Second,man,True,,Southampton,yes,True
676
+ 0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
677
+ 0,3,male,18.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
678
+ 0,3,male,24.5,0,0,8.05,S,Third,man,True,,Southampton,no,True
679
+ 1,3,female,18.0,0,0,9.8417,S,Third,woman,False,,Southampton,yes,True
680
+ 0,3,female,43.0,1,6,46.9,S,Third,woman,False,,Southampton,no,False
681
+ 1,1,male,36.0,0,1,512.3292,C,First,man,True,B,Cherbourg,yes,False
682
+ 0,3,female,,0,0,8.1375,Q,Third,woman,False,,Queenstown,no,True
683
+ 1,1,male,27.0,0,0,76.7292,C,First,man,True,D,Cherbourg,yes,True
684
+ 0,3,male,20.0,0,0,9.225,S,Third,man,True,,Southampton,no,True
685
+ 0,3,male,14.0,5,2,46.9,S,Third,child,False,,Southampton,no,False
686
+ 0,2,male,60.0,1,1,39.0,S,Second,man,True,,Southampton,no,False
687
+ 0,2,male,25.0,1,2,41.5792,C,Second,man,True,,Cherbourg,no,False
688
+ 0,3,male,14.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
689
+ 0,3,male,19.0,0,0,10.1708,S,Third,man,True,,Southampton,no,True
690
+ 0,3,male,18.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
691
+ 1,1,female,15.0,0,1,211.3375,S,First,child,False,B,Southampton,yes,False
692
+ 1,1,male,31.0,1,0,57.0,S,First,man,True,B,Southampton,yes,False
693
+ 1,3,female,4.0,0,1,13.4167,C,Third,child,False,,Cherbourg,yes,False
694
+ 1,3,male,,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
695
+ 0,3,male,25.0,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
696
+ 0,1,male,60.0,0,0,26.55,S,First,man,True,,Southampton,no,True
697
+ 0,2,male,52.0,0,0,13.5,S,Second,man,True,,Southampton,no,True
698
+ 0,3,male,44.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
699
+ 1,3,female,,0,0,7.7333,Q,Third,woman,False,,Queenstown,yes,True
700
+ 0,1,male,49.0,1,1,110.8833,C,First,man,True,C,Cherbourg,no,False
701
+ 0,3,male,42.0,0,0,7.65,S,Third,man,True,F,Southampton,no,True
702
+ 1,1,female,18.0,1,0,227.525,C,First,woman,False,C,Cherbourg,yes,False
703
+ 1,1,male,35.0,0,0,26.2875,S,First,man,True,E,Southampton,yes,True
704
+ 0,3,female,18.0,0,1,14.4542,C,Third,woman,False,,Cherbourg,no,False
705
+ 0,3,male,25.0,0,0,7.7417,Q,Third,man,True,,Queenstown,no,True
706
+ 0,3,male,26.0,1,0,7.8542,S,Third,man,True,,Southampton,no,False
707
+ 0,2,male,39.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
708
+ 1,2,female,45.0,0,0,13.5,S,Second,woman,False,,Southampton,yes,True
709
+ 1,1,male,42.0,0,0,26.2875,S,First,man,True,E,Southampton,yes,True
710
+ 1,1,female,22.0,0,0,151.55,S,First,woman,False,,Southampton,yes,True
711
+ 1,3,male,,1,1,15.2458,C,Third,man,True,,Cherbourg,yes,False
712
+ 1,1,female,24.0,0,0,49.5042,C,First,woman,False,C,Cherbourg,yes,True
713
+ 0,1,male,,0,0,26.55,S,First,man,True,C,Southampton,no,True
714
+ 1,1,male,48.0,1,0,52.0,S,First,man,True,C,Southampton,yes,False
715
+ 0,3,male,29.0,0,0,9.4833,S,Third,man,True,,Southampton,no,True
716
+ 0,2,male,52.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
717
+ 0,3,male,19.0,0,0,7.65,S,Third,man,True,F,Southampton,no,True
718
+ 1,1,female,38.0,0,0,227.525,C,First,woman,False,C,Cherbourg,yes,True
719
+ 1,2,female,27.0,0,0,10.5,S,Second,woman,False,E,Southampton,yes,True
720
+ 0,3,male,,0,0,15.5,Q,Third,man,True,,Queenstown,no,True
721
+ 0,3,male,33.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
722
+ 1,2,female,6.0,0,1,33.0,S,Second,child,False,,Southampton,yes,False
723
+ 0,3,male,17.0,1,0,7.0542,S,Third,man,True,,Southampton,no,False
724
+ 0,2,male,34.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
725
+ 0,2,male,50.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
726
+ 1,1,male,27.0,1,0,53.1,S,First,man,True,E,Southampton,yes,False
727
+ 0,3,male,20.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
728
+ 1,2,female,30.0,3,0,21.0,S,Second,woman,False,,Southampton,yes,False
729
+ 1,3,female,,0,0,7.7375,Q,Third,woman,False,,Queenstown,yes,True
730
+ 0,2,male,25.0,1,0,26.0,S,Second,man,True,,Southampton,no,False
731
+ 0,3,female,25.0,1,0,7.925,S,Third,woman,False,,Southampton,no,False
732
+ 1,1,female,29.0,0,0,211.3375,S,First,woman,False,B,Southampton,yes,True
733
+ 0,3,male,11.0,0,0,18.7875,C,Third,child,False,,Cherbourg,no,True
734
+ 0,2,male,,0,0,0.0,S,Second,man,True,,Southampton,no,True
735
+ 0,2,male,23.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
736
+ 0,2,male,23.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
737
+ 0,3,male,28.5,0,0,16.1,S,Third,man,True,,Southampton,no,True
738
+ 0,3,female,48.0,1,3,34.375,S,Third,woman,False,,Southampton,no,False
739
+ 1,1,male,35.0,0,0,512.3292,C,First,man,True,B,Cherbourg,yes,True
740
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
741
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
742
+ 1,1,male,,0,0,30.0,S,First,man,True,D,Southampton,yes,True
743
+ 0,1,male,36.0,1,0,78.85,S,First,man,True,C,Southampton,no,False
744
+ 1,1,female,21.0,2,2,262.375,C,First,woman,False,B,Cherbourg,yes,False
745
+ 0,3,male,24.0,1,0,16.1,S,Third,man,True,,Southampton,no,False
746
+ 1,3,male,31.0,0,0,7.925,S,Third,man,True,,Southampton,yes,True
747
+ 0,1,male,70.0,1,1,71.0,S,First,man,True,B,Southampton,no,False
748
+ 0,3,male,16.0,1,1,20.25,S,Third,man,True,,Southampton,no,False
749
+ 1,2,female,30.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
750
+ 0,1,male,19.0,1,0,53.1,S,First,man,True,D,Southampton,no,False
751
+ 0,3,male,31.0,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
752
+ 1,2,female,4.0,1,1,23.0,S,Second,child,False,,Southampton,yes,False
753
+ 1,3,male,6.0,0,1,12.475,S,Third,child,False,E,Southampton,yes,False
754
+ 0,3,male,33.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
755
+ 0,3,male,23.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
756
+ 1,2,female,48.0,1,2,65.0,S,Second,woman,False,,Southampton,yes,False
757
+ 1,2,male,0.67,1,1,14.5,S,Second,child,False,,Southampton,yes,False
758
+ 0,3,male,28.0,0,0,7.7958,S,Third,man,True,,Southampton,no,True
759
+ 0,2,male,18.0,0,0,11.5,S,Second,man,True,,Southampton,no,True
760
+ 0,3,male,34.0,0,0,8.05,S,Third,man,True,,Southampton,no,True
761
+ 1,1,female,33.0,0,0,86.5,S,First,woman,False,B,Southampton,yes,True
762
+ 0,3,male,,0,0,14.5,S,Third,man,True,,Southampton,no,True
763
+ 0,3,male,41.0,0,0,7.125,S,Third,man,True,,Southampton,no,True
764
+ 1,3,male,20.0,0,0,7.2292,C,Third,man,True,,Cherbourg,yes,True
765
+ 1,1,female,36.0,1,2,120.0,S,First,woman,False,B,Southampton,yes,False
766
+ 0,3,male,16.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
767
+ 1,1,female,51.0,1,0,77.9583,S,First,woman,False,D,Southampton,yes,False
768
+ 0,1,male,,0,0,39.6,C,First,man,True,,Cherbourg,no,True
769
+ 0,3,female,30.5,0,0,7.75,Q,Third,woman,False,,Queenstown,no,True
770
+ 0,3,male,,1,0,24.15,Q,Third,man,True,,Queenstown,no,False
771
+ 0,3,male,32.0,0,0,8.3625,S,Third,man,True,,Southampton,no,True
772
+ 0,3,male,24.0,0,0,9.5,S,Third,man,True,,Southampton,no,True
773
+ 0,3,male,48.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
774
+ 0,2,female,57.0,0,0,10.5,S,Second,woman,False,E,Southampton,no,True
775
+ 0,3,male,,0,0,7.225,C,Third,man,True,,Cherbourg,no,True
776
+ 1,2,female,54.0,1,3,23.0,S,Second,woman,False,,Southampton,yes,False
777
+ 0,3,male,18.0,0,0,7.75,S,Third,man,True,,Southampton,no,True
778
+ 0,3,male,,0,0,7.75,Q,Third,man,True,F,Queenstown,no,True
779
+ 1,3,female,5.0,0,0,12.475,S,Third,child,False,,Southampton,yes,True
780
+ 0,3,male,,0,0,7.7375,Q,Third,man,True,,Queenstown,no,True
781
+ 1,1,female,43.0,0,1,211.3375,S,First,woman,False,B,Southampton,yes,False
782
+ 1,3,female,13.0,0,0,7.2292,C,Third,child,False,,Cherbourg,yes,True
783
+ 1,1,female,17.0,1,0,57.0,S,First,woman,False,B,Southampton,yes,False
784
+ 0,1,male,29.0,0,0,30.0,S,First,man,True,D,Southampton,no,True
785
+ 0,3,male,,1,2,23.45,S,Third,man,True,,Southampton,no,False
786
+ 0,3,male,25.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
787
+ 0,3,male,25.0,0,0,7.25,S,Third,man,True,,Southampton,no,True
788
+ 1,3,female,18.0,0,0,7.4958,S,Third,woman,False,,Southampton,yes,True
789
+ 0,3,male,8.0,4,1,29.125,Q,Third,child,False,,Queenstown,no,False
790
+ 1,3,male,1.0,1,2,20.575,S,Third,child,False,,Southampton,yes,False
791
+ 0,1,male,46.0,0,0,79.2,C,First,man,True,B,Cherbourg,no,True
792
+ 0,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
793
+ 0,2,male,16.0,0,0,26.0,S,Second,man,True,,Southampton,no,True
794
+ 0,3,female,,8,2,69.55,S,Third,woman,False,,Southampton,no,False
795
+ 0,1,male,,0,0,30.6958,C,First,man,True,,Cherbourg,no,True
796
+ 0,3,male,25.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
797
+ 0,2,male,39.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
798
+ 1,1,female,49.0,0,0,25.9292,S,First,woman,False,D,Southampton,yes,True
799
+ 1,3,female,31.0,0,0,8.6833,S,Third,woman,False,,Southampton,yes,True
800
+ 0,3,male,30.0,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
801
+ 0,3,female,30.0,1,1,24.15,S,Third,woman,False,,Southampton,no,False
802
+ 0,2,male,34.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
803
+ 1,2,female,31.0,1,1,26.25,S,Second,woman,False,,Southampton,yes,False
804
+ 1,1,male,11.0,1,2,120.0,S,First,child,False,B,Southampton,yes,False
805
+ 1,3,male,0.42,0,1,8.5167,C,Third,child,False,,Cherbourg,yes,False
806
+ 1,3,male,27.0,0,0,6.975,S,Third,man,True,,Southampton,yes,True
807
+ 0,3,male,31.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
808
+ 0,1,male,39.0,0,0,0.0,S,First,man,True,A,Southampton,no,True
809
+ 0,3,female,18.0,0,0,7.775,S,Third,woman,False,,Southampton,no,True
810
+ 0,2,male,39.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
811
+ 1,1,female,33.0,1,0,53.1,S,First,woman,False,E,Southampton,yes,False
812
+ 0,3,male,26.0,0,0,7.8875,S,Third,man,True,,Southampton,no,True
813
+ 0,3,male,39.0,0,0,24.15,S,Third,man,True,,Southampton,no,True
814
+ 0,2,male,35.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
815
+ 0,3,female,6.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
816
+ 0,3,male,30.5,0,0,8.05,S,Third,man,True,,Southampton,no,True
817
+ 0,1,male,,0,0,0.0,S,First,man,True,B,Southampton,no,True
818
+ 0,3,female,23.0,0,0,7.925,S,Third,woman,False,,Southampton,no,True
819
+ 0,2,male,31.0,1,1,37.0042,C,Second,man,True,,Cherbourg,no,False
820
+ 0,3,male,43.0,0,0,6.45,S,Third,man,True,,Southampton,no,True
821
+ 0,3,male,10.0,3,2,27.9,S,Third,child,False,,Southampton,no,False
822
+ 1,1,female,52.0,1,1,93.5,S,First,woman,False,B,Southampton,yes,False
823
+ 1,3,male,27.0,0,0,8.6625,S,Third,man,True,,Southampton,yes,True
824
+ 0,1,male,38.0,0,0,0.0,S,First,man,True,,Southampton,no,True
825
+ 1,3,female,27.0,0,1,12.475,S,Third,woman,False,E,Southampton,yes,False
826
+ 0,3,male,2.0,4,1,39.6875,S,Third,child,False,,Southampton,no,False
827
+ 0,3,male,,0,0,6.95,Q,Third,man,True,,Queenstown,no,True
828
+ 0,3,male,,0,0,56.4958,S,Third,man,True,,Southampton,no,True
829
+ 1,2,male,1.0,0,2,37.0042,C,Second,child,False,,Cherbourg,yes,False
830
+ 1,3,male,,0,0,7.75,Q,Third,man,True,,Queenstown,yes,True
831
+ 1,1,female,62.0,0,0,80.0,,First,woman,False,B,,yes,True
832
+ 1,3,female,15.0,1,0,14.4542,C,Third,child,False,,Cherbourg,yes,False
833
+ 1,2,male,0.83,1,1,18.75,S,Second,child,False,,Southampton,yes,False
834
+ 0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
835
+ 0,3,male,23.0,0,0,7.8542,S,Third,man,True,,Southampton,no,True
836
+ 0,3,male,18.0,0,0,8.3,S,Third,man,True,,Southampton,no,True
837
+ 1,1,female,39.0,1,1,83.1583,C,First,woman,False,E,Cherbourg,yes,False
838
+ 0,3,male,21.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
839
+ 0,3,male,,0,0,8.05,S,Third,man,True,,Southampton,no,True
840
+ 1,3,male,32.0,0,0,56.4958,S,Third,man,True,,Southampton,yes,True
841
+ 1,1,male,,0,0,29.7,C,First,man,True,C,Cherbourg,yes,True
842
+ 0,3,male,20.0,0,0,7.925,S,Third,man,True,,Southampton,no,True
843
+ 0,2,male,16.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
844
+ 1,1,female,30.0,0,0,31.0,C,First,woman,False,,Cherbourg,yes,True
845
+ 0,3,male,34.5,0,0,6.4375,C,Third,man,True,,Cherbourg,no,True
846
+ 0,3,male,17.0,0,0,8.6625,S,Third,man,True,,Southampton,no,True
847
+ 0,3,male,42.0,0,0,7.55,S,Third,man,True,,Southampton,no,True
848
+ 0,3,male,,8,2,69.55,S,Third,man,True,,Southampton,no,False
849
+ 0,3,male,35.0,0,0,7.8958,C,Third,man,True,,Cherbourg,no,True
850
+ 0,2,male,28.0,0,1,33.0,S,Second,man,True,,Southampton,no,False
851
+ 1,1,female,,1,0,89.1042,C,First,woman,False,C,Cherbourg,yes,False
852
+ 0,3,male,4.0,4,2,31.275,S,Third,child,False,,Southampton,no,False
853
+ 0,3,male,74.0,0,0,7.775,S,Third,man,True,,Southampton,no,True
854
+ 0,3,female,9.0,1,1,15.2458,C,Third,child,False,,Cherbourg,no,False
855
+ 1,1,female,16.0,0,1,39.4,S,First,woman,False,D,Southampton,yes,False
856
+ 0,2,female,44.0,1,0,26.0,S,Second,woman,False,,Southampton,no,False
857
+ 1,3,female,18.0,0,1,9.35,S,Third,woman,False,,Southampton,yes,False
858
+ 1,1,female,45.0,1,1,164.8667,S,First,woman,False,,Southampton,yes,False
859
+ 1,1,male,51.0,0,0,26.55,S,First,man,True,E,Southampton,yes,True
860
+ 1,3,female,24.0,0,3,19.2583,C,Third,woman,False,,Cherbourg,yes,False
861
+ 0,3,male,,0,0,7.2292,C,Third,man,True,,Cherbourg,no,True
862
+ 0,3,male,41.0,2,0,14.1083,S,Third,man,True,,Southampton,no,False
863
+ 0,2,male,21.0,1,0,11.5,S,Second,man,True,,Southampton,no,False
864
+ 1,1,female,48.0,0,0,25.9292,S,First,woman,False,D,Southampton,yes,True
865
+ 0,3,female,,8,2,69.55,S,Third,woman,False,,Southampton,no,False
866
+ 0,2,male,24.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
867
+ 1,2,female,42.0,0,0,13.0,S,Second,woman,False,,Southampton,yes,True
868
+ 1,2,female,27.0,1,0,13.8583,C,Second,woman,False,,Cherbourg,yes,False
869
+ 0,1,male,31.0,0,0,50.4958,S,First,man,True,A,Southampton,no,True
870
+ 0,3,male,,0,0,9.5,S,Third,man,True,,Southampton,no,True
871
+ 1,3,male,4.0,1,1,11.1333,S,Third,child,False,,Southampton,yes,False
872
+ 0,3,male,26.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
873
+ 1,1,female,47.0,1,1,52.5542,S,First,woman,False,D,Southampton,yes,False
874
+ 0,1,male,33.0,0,0,5.0,S,First,man,True,B,Southampton,no,True
875
+ 0,3,male,47.0,0,0,9.0,S,Third,man,True,,Southampton,no,True
876
+ 1,2,female,28.0,1,0,24.0,C,Second,woman,False,,Cherbourg,yes,False
877
+ 1,3,female,15.0,0,0,7.225,C,Third,child,False,,Cherbourg,yes,True
878
+ 0,3,male,20.0,0,0,9.8458,S,Third,man,True,,Southampton,no,True
879
+ 0,3,male,19.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
880
+ 0,3,male,,0,0,7.8958,S,Third,man,True,,Southampton,no,True
881
+ 1,1,female,56.0,0,1,83.1583,C,First,woman,False,C,Cherbourg,yes,False
882
+ 1,2,female,25.0,0,1,26.0,S,Second,woman,False,,Southampton,yes,False
883
+ 0,3,male,33.0,0,0,7.8958,S,Third,man,True,,Southampton,no,True
884
+ 0,3,female,22.0,0,0,10.5167,S,Third,woman,False,,Southampton,no,True
885
+ 0,2,male,28.0,0,0,10.5,S,Second,man,True,,Southampton,no,True
886
+ 0,3,male,25.0,0,0,7.05,S,Third,man,True,,Southampton,no,True
887
+ 0,3,female,39.0,0,5,29.125,Q,Third,woman,False,,Queenstown,no,False
888
+ 0,2,male,27.0,0,0,13.0,S,Second,man,True,,Southampton,no,True
889
+ 1,1,female,19.0,0,0,30.0,S,First,woman,False,B,Southampton,yes,True
890
+ 0,3,female,,1,2,23.45,S,Third,woman,False,,Southampton,no,False
891
+ 1,1,male,26.0,0,0,30.0,C,First,man,True,C,Cherbourg,yes,True
892
+ 0,3,male,32.0,0,0,7.75,Q,Third,man,True,,Queenstown,no,True
data/seaborn/README.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ seaborn-data
2
+ ============
3
+
4
+ Data repository for [seaborn](http://seaborn.pydata.org/) examples.
5
+
6
+ | :warning: This is not a general-purpose data archive :warning: |
7
+ | :---: |
8
+
9
+ This repository exists only to provide a convenient target for the `seaborn.load_dataset` function to download sample datasets from. Its existence makes it easy to document seaborn without confusing things by spending time loading and munging data. The datasets may change or be removed at any time if they are no longer useful for the seaborn documentation. Some of the datasets have also been modifed from their canonical sources.
10
+
11
+ Data sources
12
+ ------------
13
+
14
+ A partial list of where these datasets originate from.
15
+
16
+ - `anagrams`: https://psych252.github.io/
17
+ - `anscombe`: https://en.wikipedia.org/wiki/Anscombe%27s_quartet
18
+ - `attention`: https://psych252.github.io/
19
+ - `car_crashes`: https://www.kaggle.com/fivethirtyeight/fivethirtyeight-bad-drivers-dataset
20
+ - `diamonds`: https://ggplot2.tidyverse.org/reference/diamonds.html
21
+ - `dots`: https://shadlenlab.columbia.edu/resources/RoitmanDataCode.html
22
+ - `dowjones`: https://fred.stlouisfed.org/series/M1109BUSM293NNBR
23
+ - `exercise`: https://psych252.github.io
24
+ - `fmri`: https://github.com/mwaskom/Waskom_CerebCortex_2017
25
+ - `geyser`: https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/faithful.html
26
+ - `glue`: https://gluebenchmark.com/leaderboard
27
+ - `healthexp`: https://ourworldindata.org/grapher/life-expectancy-vs-health-expenditure
28
+ - `iris`: https://archive.ics.uci.edu/ml/datasets/iris
29
+ - `mpg`: https://data.world/dataman-udit/cars-data
30
+ - `penguins`: https://github.com/allisonhorst/penguins
31
+ - `planets`: https://exoplanets.nasa.gov/exoplanet-catalog/
32
+ - `seaice`: https://nsidc.org/arcticseaicenews/sea-ice-tools/
33
+ - `taxis`: https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page
34
+ - `tips`: https://rdrr.io/cran/reshape2/man/tips.html
35
+ - `titanic`: https://www.kaggle.com/c/titanic/data
data/seaborn/anagrams.csv ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ subidr,attnr,num1,num2,num3
2
+ 1,divided,2,4,7
3
+ 2,divided,3,4,5
4
+ 3,divided,3,5,6
5
+ 4,divided,5,7,5
6
+ 5,divided,4,5,8
7
+ 6,divided,5,5,6
8
+ 7,divided,5,4.5,6
9
+ 8,divided,5,7,8
10
+ 9,divided,2,3,7
11
+ 10,divided,6,5,6
12
+ 11,focused,6,5,6
13
+ 12,focused,8,9,8
14
+ 13,focused,6,5,9
15
+ 14,focused,8,8,7
16
+ 15,focused,8,8,7
17
+ 16,focused,6,8,7
18
+ 17,focused,7,7,6
19
+ 18,focused,7,8,6
20
+ 19,focused,5,6,6
21
+ 20,focused,6,6,5
data/seaborn/anscombe.csv ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ dataset,x,y
2
+ I,10.0,8.04
3
+ I,8.0,6.95
4
+ I,13.0,7.58
5
+ I,9.0,8.81
6
+ I,11.0,8.33
7
+ I,14.0,9.96
8
+ I,6.0,7.24
9
+ I,4.0,4.26
10
+ I,12.0,10.84
11
+ I,7.0,4.82
12
+ I,5.0,5.68
13
+ II,10.0,9.14
14
+ II,8.0,8.14
15
+ II,13.0,8.74
16
+ II,9.0,8.77
17
+ II,11.0,9.26
18
+ II,14.0,8.1
19
+ II,6.0,6.13
20
+ II,4.0,3.1
21
+ II,12.0,9.13
22
+ II,7.0,7.26
23
+ II,5.0,4.74
24
+ III,10.0,7.46
25
+ III,8.0,6.77
26
+ III,13.0,12.74
27
+ III,9.0,7.11
28
+ III,11.0,7.81
29
+ III,14.0,8.84
30
+ III,6.0,6.08
31
+ III,4.0,5.39
32
+ III,12.0,8.15
33
+ III,7.0,6.42
34
+ III,5.0,5.73
35
+ IV,8.0,6.58
36
+ IV,8.0,5.76
37
+ IV,8.0,7.71
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data/seaborn/attention.csv ADDED
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1
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data/seaborn/brain_networks.csv ADDED
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data/seaborn/car_crashes.csv ADDED
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1
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data/seaborn/dataset_names.txt ADDED
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1
+ anagrams
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data/seaborn/dots.csv ADDED
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data/seaborn/dowjones.csv ADDED
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data/seaborn/exercise.csv ADDED
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data/seaborn/flights.csv ADDED
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data/seaborn/fmri.csv ADDED
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data/seaborn/glue.csv ADDED
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1
+ Model,Year,Encoder,Task,Score
2
+ ERNIE,2019,Transformer,CoLA,75.5
3
+ T5,2019,Transformer,CoLA,71.6
4
+ RoBERTa,2019,Transformer,CoLA,67.8
5
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6
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7
+ BiLSTM+CoVe,2017,LSTM,CoLA,18.5
8
+ BiLSTM+Attn,2017,LSTM,CoLA,18.6
9
+ BiLSTM,2017,LSTM,CoLA,11.6
10
+ ERNIE,2019,Transformer,SST-2,97.8
11
+ T5,2019,Transformer,SST-2,97.5
12
+ RoBERTa,2019,Transformer,SST-2,96.7
13
+ BERT,2018,Transformer,SST-2,94.9
14
+ BiLSTM+ELMo,2018,LSTM,SST-2,89.3
15
+ BiLSTM+CoVe,2017,LSTM,SST-2,81.9
16
+ BiLSTM+Attn,2017,LSTM,SST-2,83.0
17
+ BiLSTM,2017,LSTM,SST-2,82.8
18
+ ERNIE,2019,Transformer,MRPC,93.9
19
+ T5,2019,Transformer,MRPC,92.8
20
+ RoBERTa,2019,Transformer,MRPC,92.3
21
+ BERT,2018,Transformer,MRPC,89.3
22
+ BiLSTM+ELMo,2018,LSTM,MRPC,84.7
23
+ BiLSTM+CoVe,2017,LSTM,MRPC,78.7
24
+ BiLSTM+Attn,2017,LSTM,MRPC,83.9
25
+ BiLSTM,2017,LSTM,MRPC,81.8
26
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27
+ T5,2019,Transformer,STS-B,93.1
28
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29
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30
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31
+ BiLSTM+CoVe,2017,LSTM,STS-B,64.4
32
+ BiLSTM+Attn,2017,LSTM,STS-B,72.8
33
+ BiLSTM,2017,LSTM,STS-B,70.3
34
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35
+ T5,2019,Transformer,QQP,75.1
36
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37
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38
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39
+ BiLSTM+CoVe,2017,LSTM,QQP,60.6
40
+ BiLSTM+Attn,2017,LSTM,QQP,60.1
41
+ BiLSTM,2017,LSTM,QQP,62.5
42
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43
+ T5,2019,Transformer,MNLI,92.2
44
+ RoBERTa,2019,Transformer,MNLI,90.8
45
+ BERT,2018,Transformer,MNLI,86.7
46
+ BiLSTM+ELMo,2018,LSTM,MNLI,67.2
47
+ BiLSTM+CoVe,2017,LSTM,MNLI,65.4
48
+ BiLSTM+Attn,2017,LSTM,MNLI,67.6
49
+ BiLSTM,2017,LSTM,MNLI,65.6
50
+ ERNIE,2019,Transformer,QNLI,97.3
51
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52
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53
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54
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55
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56
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57
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58
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59
+ T5,2019,Transformer,RTE,92.8
60
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61
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62
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63
+ BiLSTM+CoVe,2017,LSTM,RTE,52.7
64
+ BiLSTM+Attn,2017,LSTM,RTE,58.4
65
+ BiLSTM,2017,LSTM,RTE,57.4
data/seaborn/healthexp.csv ADDED
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1
+ Year,Country,Spending_USD,Life_Expectancy
2
+ 1970,Germany,252.311,70.6
3
+ 1970,France,192.143,72.2
4
+ 1970,Great Britain,123.993,71.9
5
+ 1970,Japan,150.437,72.0
6
+ 1970,USA,326.961,70.9
7
+ 1971,Canada,313.391,72.8
8
+ 1971,Germany,298.251,70.8
9
+ 1971,Great Britain,134.172,71.9
10
+ 1971,Japan,163.854,72.9
11
+ 1971,USA,357.988,71.2
12
+ 1972,Germany,337.364,71.0
13
+ 1972,Japan,185.39,73.2
14
+ 1972,USA,397.097,71.2
15
+ 1973,Germany,384.541,71.3
16
+ 1973,Japan,205.778,73.4
17
+ 1973,USA,439.302,71.4
18
+ 1974,Germany,452.744,71.5
19
+ 1974,Japan,242.018,73.7
20
+ 1974,USA,495.114,72.0
21
+ 1975,Germany,532.481,71.4
22
+ 1975,France,363.61,73.0
23
+ 1975,Japan,284.269,74.3
24
+ 1975,USA,560.75,72.7
25
+ 1976,Canada,543.337,73.8
26
+ 1976,Germany,591.098,71.8
27
+ 1976,Japan,303.725,74.8
28
+ 1976,USA,638.851,72.9
29
+ 1977,Germany,647.352,72.5
30
+ 1977,Japan,340.628,75.3
31
+ 1977,USA,726.241,73.3
32
+ 1978,Germany,729.457,72.4
33
+ 1978,Japan,392.577,75.7
34
+ 1978,USA,808.884,73.5
35
+ 1979,Canada,692.269,75.1
36
+ 1979,Germany,800.703,72.8
37
+ 1979,Japan,452.931,76.2
38
+ 1979,USA,908.963,73.9
39
+ 1980,Canada,791.812,75.2
40
+ 1980,Germany,908.166,72.9
41
+ 1980,France,659.826,74.3
42
+ 1980,Great Britain,385.099,73.2
43
+ 1980,Japan,535.016,76.1
44
+ 1980,USA,1036.3,73.7
45
+ 1981,Canada,898.807,75.5
46
+ 1981,Germany,1014.713,73.2
47
+ 1981,Great Britain,433.957,73.8
48
+ 1981,Japan,603.965,76.5
49
+ 1981,USA,1191.537,74.1
50
+ 1982,Canada,996.086,75.6
51
+ 1982,Germany,1044.528,73.5
52
+ 1982,Great Britain,448.477,74.1
53
+ 1982,Japan,664.777,76.9
54
+ 1982,USA,1329.669,74.5
55
+ 1983,Canada,1066.746,75.9
56
+ 1983,Germany,1104.594,73.8
57
+ 1983,Great Britain,501.924,74.3
58
+ 1983,Japan,714.857,77.0
59
+ 1983,USA,1451.945,74.6
60
+ 1984,Canada,1135.02,76.2
61
+ 1984,Germany,1196.56,74.3
62
+ 1984,Great Britain,521.522,74.5
63
+ 1984,Japan,745.981,77.4
64
+ 1984,USA,1590.667,74.7
65
+ 1985,Canada,1212.85,76.3
66
+ 1985,Germany,1298.555,75.0
67
+ 1985,France,1001.145,75.4
68
+ 1985,Great Britain,549.608,74.7
69
+ 1985,Japan,818.382,77.6
70
+ 1985,USA,1735.156,74.7
71
+ 1986,Canada,1278.816,76.5
72
+ 1986,Germany,1386.51,75.2
73
+ 1986,Great Britain,578.61,74.8
74
+ 1986,Japan,859.855,78.1
75
+ 1986,USA,1847.773,74.7
76
+ 1987,Canada,1357.453,76.7
77
+ 1987,Germany,1480.096,75.6
78
+ 1987,Great Britain,634.956,75.2
79
+ 1987,Japan,916.703,78.5
80
+ 1987,USA,1976.166,74.9
81
+ 1988,Canada,1461.3,76.8
82
+ 1988,Germany,1616.349,75.9
83
+ 1988,Great Britain,688.049,75.3
84
+ 1988,Japan,969.251,78.4
85
+ 1988,USA,2195.392,74.9
86
+ 1989,Canada,1579.543,77.1
87
+ 1989,Germany,1596.16,76.0
88
+ 1989,Great Britain,739.714,75.4
89
+ 1989,Japan,1021.247,78.8
90
+ 1989,USA,2424.654,75.1
91
+ 1990,Canada,1699.774,77.3
92
+ 1990,Germany,1724.332,77.3
93
+ 1990,France,1459.11,77.0
94
+ 1990,Great Britain,782.612,75.7
95
+ 1990,Japan,1088.959,78.9
96
+ 1990,USA,2684.984,75.3
97
+ 1991,Canada,1805.209,77.6
98
+ 1991,France,1558.033,77.2
99
+ 1991,Great Britain,842.797,75.9
100
+ 1991,Japan,1166.43,79.1
101
+ 1991,USA,2901.589,75.5
102
+ 1992,Canada,1897.456,77.8
103
+ 1992,Germany,2019.308,76.1
104
+ 1992,France,1651.139,77.5
105
+ 1992,Great Britain,930.701,76.3
106
+ 1992,Japan,1253.415,79.2
107
+ 1992,USA,3100.343,75.7
108
+ 1993,Canada,1930.889,77.8
109
+ 1993,Germany,2040.313,76.1
110
+ 1993,France,1753.485,77.5
111
+ 1993,Great Britain,995.728,76.2
112
+ 1993,Japan,1332.213,79.4
113
+ 1993,USA,3286.558,75.5
114
+ 1994,Canada,1962.196,77.9
115
+ 1994,Germany,2188.676,76.5
116
+ 1994,France,1817.042,78.0
117
+ 1994,Great Britain,1058.68,76.8
118
+ 1994,Japan,1420.271,79.8
119
+ 1994,USA,3432.101,75.7
120
+ 1995,Canada,1984.944,78.0
121
+ 1995,Germany,2349.145,76.6
122
+ 1995,France,2100.918,78.1
123
+ 1995,Great Britain,1094.034,76.7
124
+ 1995,Japan,1413.445,79.6
125
+ 1995,USA,3586.745,75.7
126
+ 1996,Canada,1999.778,78.2
127
+ 1996,Germany,2480.217,76.9
128
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129
+ 1996,Great Britain,1171.591,76.9
130
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131
+ 1996,USA,4158.928,76.1
132
+ 1997,Canada,2091.997,78.3
133
+ 1997,Germany,2496.201,77.3
134
+ 1997,France,2236.595,78.6
135
+ 1997,Great Britain,1507.352,77.2
136
+ 1997,Japan,1529.586,80.5
137
+ 1997,USA,3894.282,76.5
138
+ 1998,Canada,2200.468,78.6
139
+ 1998,Germany,2566.003,77.7
140
+ 1998,France,2321.931,78.8
141
+ 1998,Great Britain,1572.097,77.3
142
+ 1998,Japan,1571.107,80.6
143
+ 1998,USA,4061.536,76.7
144
+ 1999,Canada,2278.254,78.8
145
+ 1999,Germany,2697.878,77.9
146
+ 1999,France,2431.303,78.9
147
+ 1999,Great Britain,1683.905,77.5
148
+ 1999,Japan,1667.922,80.5
149
+ 1999,USA,4261.996,76.7
150
+ 2000,Canada,2450.593,79.1
151
+ 2000,Germany,2895.533,78.2
152
+ 2000,France,2687.53,79.2
153
+ 2000,Great Britain,1897.202,77.9
154
+ 2000,Japan,1847.786,81.2
155
+ 2000,USA,4536.561,76.7
156
+ 2001,Canada,2624.293,79.3
157
+ 2001,Germany,3009.368,78.5
158
+ 2001,France,2875.294,79.3
159
+ 2001,Great Britain,2067.167,78.2
160
+ 2001,Japan,1945.556,81.5
161
+ 2001,USA,4888.518,76.9
162
+ 2002,Canada,2758.065,79.5
163
+ 2002,Germany,3239.77,78.5
164
+ 2002,France,3152.016,79.4
165
+ 2002,Great Britain,2287.476,78.3
166
+ 2002,Japan,2065.133,81.8
167
+ 2002,USA,5316.522,77.0
168
+ 2003,Canada,2914.206,79.6
169
+ 2003,Germany,3329.374,78.6
170
+ 2003,France,3056.265,79.3
171
+ 2003,Great Britain,2469.159,78.4
172
+ 2003,Japan,2194.437,81.8
173
+ 2003,USA,5726.538,77.1
174
+ 2004,Canada,3122.396,79.9
175
+ 2004,Germany,3391.521,79.2
176
+ 2004,France,3170.947,80.3
177
+ 2004,Great Britain,2724.869,79.0
178
+ 2004,Japan,2303.68,82.1
179
+ 2004,USA,6069.53,77.6
180
+ 2005,Canada,3291.912,80.0
181
+ 2005,Germany,3429.955,79.4
182
+ 2005,France,3264.574,80.4
183
+ 2005,Great Britain,2731.445,79.2
184
+ 2005,Japan,2471.186,82.0
185
+ 2005,USA,6430.757,77.6
186
+ 2006,Canada,3486.621,80.4
187
+ 2006,Germany,3567.061,79.8
188
+ 2006,France,3444.855,81.0
189
+ 2006,Great Britain,2952.329,79.5
190
+ 2006,Japan,2561.219,82.4
191
+ 2006,USA,6808.054,77.8
192
+ 2007,Canada,3709.615,80.5
193
+ 2007,Germany,3750.787,80.1
194
+ 2007,France,3588.227,81.2
195
+ 2007,Great Britain,3021.671,79.7
196
+ 2007,Japan,2689.916,82.6
197
+ 2007,USA,7166.513,78.1
198
+ 2008,Canada,3849.544,80.7
199
+ 2008,Germany,3955.136,80.2
200
+ 2008,France,3729.353,81.4
201
+ 2008,Great Britain,3207.853,79.8
202
+ 2008,Japan,2799.198,82.7
203
+ 2008,USA,7385.026,78.1
204
+ 2009,Canada,3945.873,80.9
205
+ 2009,Germany,4158.266,80.3
206
+ 2009,France,3880.842,81.5
207
+ 2009,Great Britain,3334.506,80.4
208
+ 2009,Japan,2971.377,83.0
209
+ 2009,USA,7645.002,78.5
210
+ 2010,Canada,4155.529,81.2
211
+ 2010,Germany,4423.07,80.5
212
+ 2010,France,4045.065,81.8
213
+ 2010,Great Britain,3441.71,80.6
214
+ 2010,Japan,3169.19,82.9
215
+ 2010,USA,7879.253,78.6
216
+ 2011,Canada,4228.962,81.4
217
+ 2011,Germany,4566.678,80.5
218
+ 2011,France,4161.698,82.3
219
+ 2011,Great Britain,3495.652,81.0
220
+ 2011,Japan,3740.756,82.7
221
+ 2011,USA,8079.467,78.7
222
+ 2012,Canada,4336.249,81.6
223
+ 2012,Germany,4745.546,80.6
224
+ 2012,France,4299.434,82.1
225
+ 2012,Great Britain,3614.131,81.0
226
+ 2012,Japan,3970.765,83.2
227
+ 2012,USA,8346.064,78.8
228
+ 2013,Canada,4428.753,81.7
229
+ 2013,Germany,4951.677,80.6
230
+ 2013,France,4544.964,82.3
231
+ 2013,Great Britain,3667.636,81.1
232
+ 2013,Japan,4308.252,83.4
233
+ 2013,USA,8519.62,78.8
234
+ 2014,Canada,4536.81,81.8
235
+ 2014,Germany,5151.709,81.2
236
+ 2014,France,4626.679,82.8
237
+ 2014,Great Britain,3758.935,81.4
238
+ 2014,Japan,4328.364,83.7
239
+ 2014,USA,8925.879,78.9
240
+ 2015,Canada,4635.285,81.9
241
+ 2015,Germany,5295.975,80.7
242
+ 2015,France,4667.156,82.4
243
+ 2015,Great Britain,3805.82,81.0
244
+ 2015,Japan,4515.556,83.9
245
+ 2015,USA,9355.118,78.7
246
+ 2016,Canada,5044.275,82.0
247
+ 2016,Germany,5669.064,81.0
248
+ 2016,France,4928.128,82.7
249
+ 2016,Great Britain,3960.141,81.2
250
+ 2016,Japan,4295.858,84.1
251
+ 2016,USA,9717.649,78.7
252
+ 2017,Canada,5150.47,81.9
253
+ 2017,Germany,5970.163,81.1
254
+ 2017,France,5005.756,82.7
255
+ 2017,Great Britain,4059.125,81.3
256
+ 2017,Japan,4412.852,84.2
257
+ 2017,USA,10046.472,78.6
258
+ 2018,Canada,5308.356,82.0
259
+ 2018,Germany,6281.84,81.0
260
+ 2018,France,5099.306,82.8
261
+ 2018,Great Britain,4189.708,81.3
262
+ 2018,Japan,4554.276,84.3
263
+ 2018,USA,10451.386,78.7
264
+ 2019,Canada,5189.721,82.2
265
+ 2019,Germany,6407.928,81.3
266
+ 2019,France,5167.839,82.9
267
+ 2019,Great Britain,4385.463,81.4
268
+ 2019,Japan,4610.794,84.4
269
+ 2019,USA,10855.517,78.8
270
+ 2020,Canada,5828.324,81.7
271
+ 2020,Germany,6938.983,81.1
272
+ 2020,France,5468.418,82.3
273
+ 2020,Great Britain,5018.7,80.4
274
+ 2020,Japan,4665.641,84.7
275
+ 2020,USA,11859.179,77.0
data/seaborn/iris.csv ADDED
@@ -0,0 +1,151 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ sepal_length,sepal_width,petal_length,petal_width,species
2
+ 5.1,3.5,1.4,0.2,setosa
3
+ 4.9,3.0,1.4,0.2,setosa
4
+ 4.7,3.2,1.3,0.2,setosa
5
+ 4.6,3.1,1.5,0.2,setosa
6
+ 5.0,3.6,1.4,0.2,setosa
7
+ 5.4,3.9,1.7,0.4,setosa
8
+ 4.6,3.4,1.4,0.3,setosa
9
+ 5.0,3.4,1.5,0.2,setosa
10
+ 4.4,2.9,1.4,0.2,setosa
11
+ 4.9,3.1,1.5,0.1,setosa
12
+ 5.4,3.7,1.5,0.2,setosa
13
+ 4.8,3.4,1.6,0.2,setosa
14
+ 4.8,3.0,1.4,0.1,setosa
15
+ 4.3,3.0,1.1,0.1,setosa
16
+ 5.8,4.0,1.2,0.2,setosa
17
+ 5.7,4.4,1.5,0.4,setosa
18
+ 5.4,3.9,1.3,0.4,setosa
19
+ 5.1,3.5,1.4,0.3,setosa
20
+ 5.7,3.8,1.7,0.3,setosa
21
+ 5.1,3.8,1.5,0.3,setosa
22
+ 5.4,3.4,1.7,0.2,setosa
23
+ 5.1,3.7,1.5,0.4,setosa
24
+ 4.6,3.6,1.0,0.2,setosa
25
+ 5.1,3.3,1.7,0.5,setosa
26
+ 4.8,3.4,1.9,0.2,setosa
27
+ 5.0,3.0,1.6,0.2,setosa
28
+ 5.0,3.4,1.6,0.4,setosa
29
+ 5.2,3.5,1.5,0.2,setosa
30
+ 5.2,3.4,1.4,0.2,setosa
31
+ 4.7,3.2,1.6,0.2,setosa
32
+ 4.8,3.1,1.6,0.2,setosa
33
+ 5.4,3.4,1.5,0.4,setosa
34
+ 5.2,4.1,1.5,0.1,setosa
35
+ 5.5,4.2,1.4,0.2,setosa
36
+ 4.9,3.1,1.5,0.2,setosa
37
+ 5.0,3.2,1.2,0.2,setosa
38
+ 5.5,3.5,1.3,0.2,setosa
39
+ 4.9,3.6,1.4,0.1,setosa
40
+ 4.4,3.0,1.3,0.2,setosa
41
+ 5.1,3.4,1.5,0.2,setosa
42
+ 5.0,3.5,1.3,0.3,setosa
43
+ 4.5,2.3,1.3,0.3,setosa
44
+ 4.4,3.2,1.3,0.2,setosa
45
+ 5.0,3.5,1.6,0.6,setosa
46
+ 5.1,3.8,1.9,0.4,setosa
47
+ 4.8,3.0,1.4,0.3,setosa
48
+ 5.1,3.8,1.6,0.2,setosa
49
+ 4.6,3.2,1.4,0.2,setosa
50
+ 5.3,3.7,1.5,0.2,setosa
51
+ 5.0,3.3,1.4,0.2,setosa
52
+ 7.0,3.2,4.7,1.4,versicolor
53
+ 6.4,3.2,4.5,1.5,versicolor
54
+ 6.9,3.1,4.9,1.5,versicolor
55
+ 5.5,2.3,4.0,1.3,versicolor
56
+ 6.5,2.8,4.6,1.5,versicolor
57
+ 5.7,2.8,4.5,1.3,versicolor
58
+ 6.3,3.3,4.7,1.6,versicolor
59
+ 4.9,2.4,3.3,1.0,versicolor
60
+ 6.6,2.9,4.6,1.3,versicolor
61
+ 5.2,2.7,3.9,1.4,versicolor
62
+ 5.0,2.0,3.5,1.0,versicolor
63
+ 5.9,3.0,4.2,1.5,versicolor
64
+ 6.0,2.2,4.0,1.0,versicolor
65
+ 6.1,2.9,4.7,1.4,versicolor
66
+ 5.6,2.9,3.6,1.3,versicolor
67
+ 6.7,3.1,4.4,1.4,versicolor
68
+ 5.6,3.0,4.5,1.5,versicolor
69
+ 5.8,2.7,4.1,1.0,versicolor
70
+ 6.2,2.2,4.5,1.5,versicolor
71
+ 5.6,2.5,3.9,1.1,versicolor
72
+ 5.9,3.2,4.8,1.8,versicolor
73
+ 6.1,2.8,4.0,1.3,versicolor
74
+ 6.3,2.5,4.9,1.5,versicolor
75
+ 6.1,2.8,4.7,1.2,versicolor
76
+ 6.4,2.9,4.3,1.3,versicolor
77
+ 6.6,3.0,4.4,1.4,versicolor
78
+ 6.8,2.8,4.8,1.4,versicolor
79
+ 6.7,3.0,5.0,1.7,versicolor
80
+ 6.0,2.9,4.5,1.5,versicolor
81
+ 5.7,2.6,3.5,1.0,versicolor
82
+ 5.5,2.4,3.8,1.1,versicolor
83
+ 5.5,2.4,3.7,1.0,versicolor
84
+ 5.8,2.7,3.9,1.2,versicolor
85
+ 6.0,2.7,5.1,1.6,versicolor
86
+ 5.4,3.0,4.5,1.5,versicolor
87
+ 6.0,3.4,4.5,1.6,versicolor
88
+ 6.7,3.1,4.7,1.5,versicolor
89
+ 6.3,2.3,4.4,1.3,versicolor
90
+ 5.6,3.0,4.1,1.3,versicolor
91
+ 5.5,2.5,4.0,1.3,versicolor
92
+ 5.5,2.6,4.4,1.2,versicolor
93
+ 6.1,3.0,4.6,1.4,versicolor
94
+ 5.8,2.6,4.0,1.2,versicolor
95
+ 5.0,2.3,3.3,1.0,versicolor
96
+ 5.6,2.7,4.2,1.3,versicolor
97
+ 5.7,3.0,4.2,1.2,versicolor
98
+ 5.7,2.9,4.2,1.3,versicolor
99
+ 6.2,2.9,4.3,1.3,versicolor
100
+ 5.1,2.5,3.0,1.1,versicolor
101
+ 5.7,2.8,4.1,1.3,versicolor
102
+ 6.3,3.3,6.0,2.5,virginica
103
+ 5.8,2.7,5.1,1.9,virginica
104
+ 7.1,3.0,5.9,2.1,virginica
105
+ 6.3,2.9,5.6,1.8,virginica
106
+ 6.5,3.0,5.8,2.2,virginica
107
+ 7.6,3.0,6.6,2.1,virginica
108
+ 4.9,2.5,4.5,1.7,virginica
109
+ 7.3,2.9,6.3,1.8,virginica
110
+ 6.7,2.5,5.8,1.8,virginica
111
+ 7.2,3.6,6.1,2.5,virginica
112
+ 6.5,3.2,5.1,2.0,virginica
113
+ 6.4,2.7,5.3,1.9,virginica
114
+ 6.8,3.0,5.5,2.1,virginica
115
+ 5.7,2.5,5.0,2.0,virginica
116
+ 5.8,2.8,5.1,2.4,virginica
117
+ 6.4,3.2,5.3,2.3,virginica
118
+ 6.5,3.0,5.5,1.8,virginica
119
+ 7.7,3.8,6.7,2.2,virginica
120
+ 7.7,2.6,6.9,2.3,virginica
121
+ 6.0,2.2,5.0,1.5,virginica
122
+ 6.9,3.2,5.7,2.3,virginica
123
+ 5.6,2.8,4.9,2.0,virginica
124
+ 7.7,2.8,6.7,2.0,virginica
125
+ 6.3,2.7,4.9,1.8,virginica
126
+ 6.7,3.3,5.7,2.1,virginica
127
+ 7.2,3.2,6.0,1.8,virginica
128
+ 6.2,2.8,4.8,1.8,virginica
129
+ 6.1,3.0,4.9,1.8,virginica
130
+ 6.4,2.8,5.6,2.1,virginica
131
+ 7.2,3.0,5.8,1.6,virginica
132
+ 7.4,2.8,6.1,1.9,virginica
133
+ 7.9,3.8,6.4,2.0,virginica
134
+ 6.4,2.8,5.6,2.2,virginica
135
+ 6.3,2.8,5.1,1.5,virginica
136
+ 6.1,2.6,5.6,1.4,virginica
137
+ 7.7,3.0,6.1,2.3,virginica
138
+ 6.3,3.4,5.6,2.4,virginica
139
+ 6.4,3.1,5.5,1.8,virginica
140
+ 6.0,3.0,4.8,1.8,virginica
141
+ 6.9,3.1,5.4,2.1,virginica
142
+ 6.7,3.1,5.6,2.4,virginica
143
+ 6.9,3.1,5.1,2.3,virginica
144
+ 5.8,2.7,5.1,1.9,virginica
145
+ 6.8,3.2,5.9,2.3,virginica
146
+ 6.7,3.3,5.7,2.5,virginica
147
+ 6.7,3.0,5.2,2.3,virginica
148
+ 6.3,2.5,5.0,1.9,virginica
149
+ 6.5,3.0,5.2,2.0,virginica
150
+ 6.2,3.4,5.4,2.3,virginica
151
+ 5.9,3.0,5.1,1.8,virginica
data/seaborn/mpg.csv ADDED
@@ -0,0 +1,399 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ mpg,cylinders,displacement,horsepower,weight,acceleration,model_year,origin,name
2
+ 18.0,8,307.0,130.0,3504,12.0,70,usa,chevrolet chevelle malibu
3
+ 15.0,8,350.0,165.0,3693,11.5,70,usa,buick skylark 320
4
+ 18.0,8,318.0,150.0,3436,11.0,70,usa,plymouth satellite
5
+ 16.0,8,304.0,150.0,3433,12.0,70,usa,amc rebel sst
6
+ 17.0,8,302.0,140.0,3449,10.5,70,usa,ford torino
7
+ 15.0,8,429.0,198.0,4341,10.0,70,usa,ford galaxie 500
8
+ 14.0,8,454.0,220.0,4354,9.0,70,usa,chevrolet impala
9
+ 14.0,8,440.0,215.0,4312,8.5,70,usa,plymouth fury iii
10
+ 14.0,8,455.0,225.0,4425,10.0,70,usa,pontiac catalina
11
+ 15.0,8,390.0,190.0,3850,8.5,70,usa,amc ambassador dpl
12
+ 15.0,8,383.0,170.0,3563,10.0,70,usa,dodge challenger se
13
+ 14.0,8,340.0,160.0,3609,8.0,70,usa,plymouth 'cuda 340
14
+ 15.0,8,400.0,150.0,3761,9.5,70,usa,chevrolet monte carlo
15
+ 14.0,8,455.0,225.0,3086,10.0,70,usa,buick estate wagon (sw)
16
+ 24.0,4,113.0,95.0,2372,15.0,70,japan,toyota corona mark ii
17
+ 22.0,6,198.0,95.0,2833,15.5,70,usa,plymouth duster
18
+ 18.0,6,199.0,97.0,2774,15.5,70,usa,amc hornet
19
+ 21.0,6,200.0,85.0,2587,16.0,70,usa,ford maverick
20
+ 27.0,4,97.0,88.0,2130,14.5,70,japan,datsun pl510
21
+ 26.0,4,97.0,46.0,1835,20.5,70,europe,volkswagen 1131 deluxe sedan
22
+ 25.0,4,110.0,87.0,2672,17.5,70,europe,peugeot 504
23
+ 24.0,4,107.0,90.0,2430,14.5,70,europe,audi 100 ls
24
+ 25.0,4,104.0,95.0,2375,17.5,70,europe,saab 99e
25
+ 26.0,4,121.0,113.0,2234,12.5,70,europe,bmw 2002
26
+ 21.0,6,199.0,90.0,2648,15.0,70,usa,amc gremlin
27
+ 10.0,8,360.0,215.0,4615,14.0,70,usa,ford f250
28
+ 10.0,8,307.0,200.0,4376,15.0,70,usa,chevy c20
29
+ 11.0,8,318.0,210.0,4382,13.5,70,usa,dodge d200
30
+ 9.0,8,304.0,193.0,4732,18.5,70,usa,hi 1200d
31
+ 27.0,4,97.0,88.0,2130,14.5,71,japan,datsun pl510
32
+ 28.0,4,140.0,90.0,2264,15.5,71,usa,chevrolet vega 2300
33
+ 25.0,4,113.0,95.0,2228,14.0,71,japan,toyota corona
34
+ 25.0,4,98.0,,2046,19.0,71,usa,ford pinto
35
+ 19.0,6,232.0,100.0,2634,13.0,71,usa,amc gremlin
36
+ 16.0,6,225.0,105.0,3439,15.5,71,usa,plymouth satellite custom
37
+ 17.0,6,250.0,100.0,3329,15.5,71,usa,chevrolet chevelle malibu
38
+ 19.0,6,250.0,88.0,3302,15.5,71,usa,ford torino 500
39
+ 18.0,6,232.0,100.0,3288,15.5,71,usa,amc matador
40
+ 14.0,8,350.0,165.0,4209,12.0,71,usa,chevrolet impala
41
+ 14.0,8,400.0,175.0,4464,11.5,71,usa,pontiac catalina brougham
42
+ 14.0,8,351.0,153.0,4154,13.5,71,usa,ford galaxie 500
43
+ 14.0,8,318.0,150.0,4096,13.0,71,usa,plymouth fury iii
44
+ 12.0,8,383.0,180.0,4955,11.5,71,usa,dodge monaco (sw)
45
+ 13.0,8,400.0,170.0,4746,12.0,71,usa,ford country squire (sw)
46
+ 13.0,8,400.0,175.0,5140,12.0,71,usa,pontiac safari (sw)
47
+ 18.0,6,258.0,110.0,2962,13.5,71,usa,amc hornet sportabout (sw)
48
+ 22.0,4,140.0,72.0,2408,19.0,71,usa,chevrolet vega (sw)
49
+ 19.0,6,250.0,100.0,3282,15.0,71,usa,pontiac firebird
50
+ 18.0,6,250.0,88.0,3139,14.5,71,usa,ford mustang
51
+ 23.0,4,122.0,86.0,2220,14.0,71,usa,mercury capri 2000
52
+ 28.0,4,116.0,90.0,2123,14.0,71,europe,opel 1900
53
+ 30.0,4,79.0,70.0,2074,19.5,71,europe,peugeot 304
54
+ 30.0,4,88.0,76.0,2065,14.5,71,europe,fiat 124b
55
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56
+ 35.0,4,72.0,69.0,1613,18.0,71,japan,datsun 1200
57
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58
+ 26.0,4,91.0,70.0,1955,20.5,71,usa,plymouth cricket
59
+ 24.0,4,113.0,95.0,2278,15.5,72,japan,toyota corona hardtop
60
+ 25.0,4,97.5,80.0,2126,17.0,72,usa,dodge colt hardtop
61
+ 23.0,4,97.0,54.0,2254,23.5,72,europe,volkswagen type 3
62
+ 20.0,4,140.0,90.0,2408,19.5,72,usa,chevrolet vega
63
+ 21.0,4,122.0,86.0,2226,16.5,72,usa,ford pinto runabout
64
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65
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66
+ 15.0,8,318.0,150.0,4135,13.5,72,usa,plymouth fury iii
67
+ 14.0,8,351.0,153.0,4129,13.0,72,usa,ford galaxie 500
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+ 17.0,8,304.0,150.0,3672,11.5,72,usa,amc ambassador sst
69
+ 11.0,8,429.0,208.0,4633,11.0,72,usa,mercury marquis
70
+ 13.0,8,350.0,155.0,4502,13.5,72,usa,buick lesabre custom
71
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72
+ 13.0,8,400.0,190.0,4422,12.5,72,usa,chrysler newport royal
73
+ 19.0,3,70.0,97.0,2330,13.5,72,japan,mazda rx2 coupe
74
+ 15.0,8,304.0,150.0,3892,12.5,72,usa,amc matador (sw)
75
+ 13.0,8,307.0,130.0,4098,14.0,72,usa,chevrolet chevelle concours (sw)
76
+ 13.0,8,302.0,140.0,4294,16.0,72,usa,ford gran torino (sw)
77
+ 14.0,8,318.0,150.0,4077,14.0,72,usa,plymouth satellite custom (sw)
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+ 18.0,4,121.0,112.0,2933,14.5,72,europe,volvo 145e (sw)
79
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80
+ 21.0,4,120.0,87.0,2979,19.5,72,europe,peugeot 504 (sw)
81
+ 26.0,4,96.0,69.0,2189,18.0,72,europe,renault 12 (sw)
82
+ 22.0,4,122.0,86.0,2395,16.0,72,usa,ford pinto (sw)
83
+ 28.0,4,97.0,92.0,2288,17.0,72,japan,datsun 510 (sw)
84
+ 23.0,4,120.0,97.0,2506,14.5,72,japan,toyouta corona mark ii (sw)
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+ 28.0,4,98.0,80.0,2164,15.0,72,usa,dodge colt (sw)
86
+ 27.0,4,97.0,88.0,2100,16.5,72,japan,toyota corolla 1600 (sw)
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+ 13.0,8,350.0,175.0,4100,13.0,73,usa,buick century 350
88
+ 14.0,8,304.0,150.0,3672,11.5,73,usa,amc matador
89
+ 13.0,8,350.0,145.0,3988,13.0,73,usa,chevrolet malibu
90
+ 14.0,8,302.0,137.0,4042,14.5,73,usa,ford gran torino
91
+ 15.0,8,318.0,150.0,3777,12.5,73,usa,dodge coronet custom
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+ 12.0,8,429.0,198.0,4952,11.5,73,usa,mercury marquis brougham
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+ 13.0,8,400.0,150.0,4464,12.0,73,usa,chevrolet caprice classic
94
+ 13.0,8,351.0,158.0,4363,13.0,73,usa,ford ltd
95
+ 14.0,8,318.0,150.0,4237,14.5,73,usa,plymouth fury gran sedan
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+ 13.0,8,440.0,215.0,4735,11.0,73,usa,chrysler new yorker brougham
97
+ 12.0,8,455.0,225.0,4951,11.0,73,usa,buick electra 225 custom
98
+ 13.0,8,360.0,175.0,3821,11.0,73,usa,amc ambassador brougham
99
+ 18.0,6,225.0,105.0,3121,16.5,73,usa,plymouth valiant
100
+ 16.0,6,250.0,100.0,3278,18.0,73,usa,chevrolet nova custom
101
+ 18.0,6,232.0,100.0,2945,16.0,73,usa,amc hornet
102
+ 18.0,6,250.0,88.0,3021,16.5,73,usa,ford maverick
103
+ 23.0,6,198.0,95.0,2904,16.0,73,usa,plymouth duster
104
+ 26.0,4,97.0,46.0,1950,21.0,73,europe,volkswagen super beetle
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+ 11.0,8,400.0,150.0,4997,14.0,73,usa,chevrolet impala
106
+ 12.0,8,400.0,167.0,4906,12.5,73,usa,ford country
107
+ 13.0,8,360.0,170.0,4654,13.0,73,usa,plymouth custom suburb
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+ 12.0,8,350.0,180.0,4499,12.5,73,usa,oldsmobile vista cruiser
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+ 18.0,6,232.0,100.0,2789,15.0,73,usa,amc gremlin
110
+ 20.0,4,97.0,88.0,2279,19.0,73,japan,toyota carina
111
+ 21.0,4,140.0,72.0,2401,19.5,73,usa,chevrolet vega
112
+ 22.0,4,108.0,94.0,2379,16.5,73,japan,datsun 610
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+ 18.0,3,70.0,90.0,2124,13.5,73,japan,maxda rx3
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+ 19.0,4,122.0,85.0,2310,18.5,73,usa,ford pinto
115
+ 21.0,6,155.0,107.0,2472,14.0,73,usa,mercury capri v6
116
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117
+ 15.0,8,350.0,145.0,4082,13.0,73,usa,chevrolet monte carlo s
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+ 16.0,8,400.0,230.0,4278,9.5,73,usa,pontiac grand prix
119
+ 29.0,4,68.0,49.0,1867,19.5,73,europe,fiat 128
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+ 24.0,4,116.0,75.0,2158,15.5,73,europe,opel manta
121
+ 20.0,4,114.0,91.0,2582,14.0,73,europe,audi 100ls
122
+ 19.0,4,121.0,112.0,2868,15.5,73,europe,volvo 144ea
123
+ 15.0,8,318.0,150.0,3399,11.0,73,usa,dodge dart custom
124
+ 24.0,4,121.0,110.0,2660,14.0,73,europe,saab 99le
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+ 20.0,6,156.0,122.0,2807,13.5,73,japan,toyota mark ii
126
+ 11.0,8,350.0,180.0,3664,11.0,73,usa,oldsmobile omega
127
+ 20.0,6,198.0,95.0,3102,16.5,74,usa,plymouth duster
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+ 21.0,6,200.0,,2875,17.0,74,usa,ford maverick
129
+ 19.0,6,232.0,100.0,2901,16.0,74,usa,amc hornet
130
+ 15.0,6,250.0,100.0,3336,17.0,74,usa,chevrolet nova
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+ 31.0,4,79.0,67.0,1950,19.0,74,japan,datsun b210
132
+ 26.0,4,122.0,80.0,2451,16.5,74,usa,ford pinto
133
+ 32.0,4,71.0,65.0,1836,21.0,74,japan,toyota corolla 1200
134
+ 25.0,4,140.0,75.0,2542,17.0,74,usa,chevrolet vega
135
+ 16.0,6,250.0,100.0,3781,17.0,74,usa,chevrolet chevelle malibu classic
136
+ 16.0,6,258.0,110.0,3632,18.0,74,usa,amc matador
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+ 18.0,6,225.0,105.0,3613,16.5,74,usa,plymouth satellite sebring
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+ 16.0,8,302.0,140.0,4141,14.0,74,usa,ford gran torino
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+ 13.0,8,350.0,150.0,4699,14.5,74,usa,buick century luxus (sw)
140
+ 14.0,8,318.0,150.0,4457,13.5,74,usa,dodge coronet custom (sw)
141
+ 14.0,8,302.0,140.0,4638,16.0,74,usa,ford gran torino (sw)
142
+ 14.0,8,304.0,150.0,4257,15.5,74,usa,amc matador (sw)
143
+ 29.0,4,98.0,83.0,2219,16.5,74,europe,audi fox
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+ 26.0,4,79.0,67.0,1963,15.5,74,europe,volkswagen dasher
145
+ 26.0,4,97.0,78.0,2300,14.5,74,europe,opel manta
146
+ 31.0,4,76.0,52.0,1649,16.5,74,japan,toyota corona
147
+ 32.0,4,83.0,61.0,2003,19.0,74,japan,datsun 710
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+ 28.0,4,90.0,75.0,2125,14.5,74,usa,dodge colt
149
+ 24.0,4,90.0,75.0,2108,15.5,74,europe,fiat 128
150
+ 26.0,4,116.0,75.0,2246,14.0,74,europe,fiat 124 tc
151
+ 24.0,4,120.0,97.0,2489,15.0,74,japan,honda civic
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+ 26.0,4,108.0,93.0,2391,15.5,74,japan,subaru
153
+ 31.0,4,79.0,67.0,2000,16.0,74,europe,fiat x1.9
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+ 19.0,6,225.0,95.0,3264,16.0,75,usa,plymouth valiant custom
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+ 18.0,6,250.0,105.0,3459,16.0,75,usa,chevrolet nova
156
+ 15.0,6,250.0,72.0,3432,21.0,75,usa,mercury monarch
157
+ 15.0,6,250.0,72.0,3158,19.5,75,usa,ford maverick
158
+ 16.0,8,400.0,170.0,4668,11.5,75,usa,pontiac catalina
159
+ 15.0,8,350.0,145.0,4440,14.0,75,usa,chevrolet bel air
160
+ 16.0,8,318.0,150.0,4498,14.5,75,usa,plymouth grand fury
161
+ 14.0,8,351.0,148.0,4657,13.5,75,usa,ford ltd
162
+ 17.0,6,231.0,110.0,3907,21.0,75,usa,buick century
163
+ 16.0,6,250.0,105.0,3897,18.5,75,usa,chevroelt chevelle malibu
164
+ 15.0,6,258.0,110.0,3730,19.0,75,usa,amc matador
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+ 18.0,6,225.0,95.0,3785,19.0,75,usa,plymouth fury
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+ 21.0,6,231.0,110.0,3039,15.0,75,usa,buick skyhawk
167
+ 20.0,8,262.0,110.0,3221,13.5,75,usa,chevrolet monza 2+2
168
+ 13.0,8,302.0,129.0,3169,12.0,75,usa,ford mustang ii
169
+ 29.0,4,97.0,75.0,2171,16.0,75,japan,toyota corolla
170
+ 23.0,4,140.0,83.0,2639,17.0,75,usa,ford pinto
171
+ 20.0,6,232.0,100.0,2914,16.0,75,usa,amc gremlin
172
+ 23.0,4,140.0,78.0,2592,18.5,75,usa,pontiac astro
173
+ 24.0,4,134.0,96.0,2702,13.5,75,japan,toyota corona
174
+ 25.0,4,90.0,71.0,2223,16.5,75,europe,volkswagen dasher
175
+ 24.0,4,119.0,97.0,2545,17.0,75,japan,datsun 710
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+ 18.0,6,171.0,97.0,2984,14.5,75,usa,ford pinto
177
+ 29.0,4,90.0,70.0,1937,14.0,75,europe,volkswagen rabbit
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+ 19.0,6,232.0,90.0,3211,17.0,75,usa,amc pacer
179
+ 23.0,4,115.0,95.0,2694,15.0,75,europe,audi 100ls
180
+ 23.0,4,120.0,88.0,2957,17.0,75,europe,peugeot 504
181
+ 22.0,4,121.0,98.0,2945,14.5,75,europe,volvo 244dl
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+ 25.0,4,121.0,115.0,2671,13.5,75,europe,saab 99le
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+ 33.0,4,91.0,53.0,1795,17.5,75,japan,honda civic cvcc
184
+ 28.0,4,107.0,86.0,2464,15.5,76,europe,fiat 131
185
+ 25.0,4,116.0,81.0,2220,16.9,76,europe,opel 1900
186
+ 25.0,4,140.0,92.0,2572,14.9,76,usa,capri ii
187
+ 26.0,4,98.0,79.0,2255,17.7,76,usa,dodge colt
188
+ 27.0,4,101.0,83.0,2202,15.3,76,europe,renault 12tl
189
+ 17.5,8,305.0,140.0,4215,13.0,76,usa,chevrolet chevelle malibu classic
190
+ 16.0,8,318.0,150.0,4190,13.0,76,usa,dodge coronet brougham
191
+ 15.5,8,304.0,120.0,3962,13.9,76,usa,amc matador
192
+ 14.5,8,351.0,152.0,4215,12.8,76,usa,ford gran torino
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+ 22.0,6,225.0,100.0,3233,15.4,76,usa,plymouth valiant
194
+ 22.0,6,250.0,105.0,3353,14.5,76,usa,chevrolet nova
195
+ 24.0,6,200.0,81.0,3012,17.6,76,usa,ford maverick
196
+ 22.5,6,232.0,90.0,3085,17.6,76,usa,amc hornet
197
+ 29.0,4,85.0,52.0,2035,22.2,76,usa,chevrolet chevette
198
+ 24.5,4,98.0,60.0,2164,22.1,76,usa,chevrolet woody
199
+ 29.0,4,90.0,70.0,1937,14.2,76,europe,vw rabbit
200
+ 33.0,4,91.0,53.0,1795,17.4,76,japan,honda civic
201
+ 20.0,6,225.0,100.0,3651,17.7,76,usa,dodge aspen se
202
+ 18.0,6,250.0,78.0,3574,21.0,76,usa,ford granada ghia
203
+ 18.5,6,250.0,110.0,3645,16.2,76,usa,pontiac ventura sj
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+ 17.5,6,258.0,95.0,3193,17.8,76,usa,amc pacer d/l
205
+ 29.5,4,97.0,71.0,1825,12.2,76,europe,volkswagen rabbit
206
+ 32.0,4,85.0,70.0,1990,17.0,76,japan,datsun b-210
207
+ 28.0,4,97.0,75.0,2155,16.4,76,japan,toyota corolla
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+ 26.5,4,140.0,72.0,2565,13.6,76,usa,ford pinto
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+ 20.0,4,130.0,102.0,3150,15.7,76,europe,volvo 245
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+ 13.0,8,318.0,150.0,3940,13.2,76,usa,plymouth volare premier v8
211
+ 19.0,4,120.0,88.0,3270,21.9,76,europe,peugeot 504
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+ 19.0,6,156.0,108.0,2930,15.5,76,japan,toyota mark ii
213
+ 16.5,6,168.0,120.0,3820,16.7,76,europe,mercedes-benz 280s
214
+ 16.5,8,350.0,180.0,4380,12.1,76,usa,cadillac seville
215
+ 13.0,8,350.0,145.0,4055,12.0,76,usa,chevy c10
216
+ 13.0,8,302.0,130.0,3870,15.0,76,usa,ford f108
217
+ 13.0,8,318.0,150.0,3755,14.0,76,usa,dodge d100
218
+ 31.5,4,98.0,68.0,2045,18.5,77,japan,honda accord cvcc
219
+ 30.0,4,111.0,80.0,2155,14.8,77,usa,buick opel isuzu deluxe
220
+ 36.0,4,79.0,58.0,1825,18.6,77,europe,renault 5 gtl
221
+ 25.5,4,122.0,96.0,2300,15.5,77,usa,plymouth arrow gs
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+ 33.5,4,85.0,70.0,1945,16.8,77,japan,datsun f-10 hatchback
223
+ 17.5,8,305.0,145.0,3880,12.5,77,usa,chevrolet caprice classic
224
+ 17.0,8,260.0,110.0,4060,19.0,77,usa,oldsmobile cutlass supreme
225
+ 15.5,8,318.0,145.0,4140,13.7,77,usa,dodge monaco brougham
226
+ 15.0,8,302.0,130.0,4295,14.9,77,usa,mercury cougar brougham
227
+ 17.5,6,250.0,110.0,3520,16.4,77,usa,chevrolet concours
228
+ 20.5,6,231.0,105.0,3425,16.9,77,usa,buick skylark
229
+ 19.0,6,225.0,100.0,3630,17.7,77,usa,plymouth volare custom
230
+ 18.5,6,250.0,98.0,3525,19.0,77,usa,ford granada
231
+ 16.0,8,400.0,180.0,4220,11.1,77,usa,pontiac grand prix lj
232
+ 15.5,8,350.0,170.0,4165,11.4,77,usa,chevrolet monte carlo landau
233
+ 15.5,8,400.0,190.0,4325,12.2,77,usa,chrysler cordoba
234
+ 16.0,8,351.0,149.0,4335,14.5,77,usa,ford thunderbird
235
+ 29.0,4,97.0,78.0,1940,14.5,77,europe,volkswagen rabbit custom
236
+ 24.5,4,151.0,88.0,2740,16.0,77,usa,pontiac sunbird coupe
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+ 26.0,4,97.0,75.0,2265,18.2,77,japan,toyota corolla liftback
238
+ 25.5,4,140.0,89.0,2755,15.8,77,usa,ford mustang ii 2+2
239
+ 30.5,4,98.0,63.0,2051,17.0,77,usa,chevrolet chevette
240
+ 33.5,4,98.0,83.0,2075,15.9,77,usa,dodge colt m/m
241
+ 30.0,4,97.0,67.0,1985,16.4,77,japan,subaru dl
242
+ 30.5,4,97.0,78.0,2190,14.1,77,europe,volkswagen dasher
243
+ 22.0,6,146.0,97.0,2815,14.5,77,japan,datsun 810
244
+ 21.5,4,121.0,110.0,2600,12.8,77,europe,bmw 320i
245
+ 21.5,3,80.0,110.0,2720,13.5,77,japan,mazda rx-4
246
+ 43.1,4,90.0,48.0,1985,21.5,78,europe,volkswagen rabbit custom diesel
247
+ 36.1,4,98.0,66.0,1800,14.4,78,usa,ford fiesta
248
+ 32.8,4,78.0,52.0,1985,19.4,78,japan,mazda glc deluxe
249
+ 39.4,4,85.0,70.0,2070,18.6,78,japan,datsun b210 gx
250
+ 36.1,4,91.0,60.0,1800,16.4,78,japan,honda civic cvcc
251
+ 19.9,8,260.0,110.0,3365,15.5,78,usa,oldsmobile cutlass salon brougham
252
+ 19.4,8,318.0,140.0,3735,13.2,78,usa,dodge diplomat
253
+ 20.2,8,302.0,139.0,3570,12.8,78,usa,mercury monarch ghia
254
+ 19.2,6,231.0,105.0,3535,19.2,78,usa,pontiac phoenix lj
255
+ 20.5,6,200.0,95.0,3155,18.2,78,usa,chevrolet malibu
256
+ 20.2,6,200.0,85.0,2965,15.8,78,usa,ford fairmont (auto)
257
+ 25.1,4,140.0,88.0,2720,15.4,78,usa,ford fairmont (man)
258
+ 20.5,6,225.0,100.0,3430,17.2,78,usa,plymouth volare
259
+ 19.4,6,232.0,90.0,3210,17.2,78,usa,amc concord
260
+ 20.6,6,231.0,105.0,3380,15.8,78,usa,buick century special
261
+ 20.8,6,200.0,85.0,3070,16.7,78,usa,mercury zephyr
262
+ 18.6,6,225.0,110.0,3620,18.7,78,usa,dodge aspen
263
+ 18.1,6,258.0,120.0,3410,15.1,78,usa,amc concord d/l
264
+ 19.2,8,305.0,145.0,3425,13.2,78,usa,chevrolet monte carlo landau
265
+ 17.7,6,231.0,165.0,3445,13.4,78,usa,buick regal sport coupe (turbo)
266
+ 18.1,8,302.0,139.0,3205,11.2,78,usa,ford futura
267
+ 17.5,8,318.0,140.0,4080,13.7,78,usa,dodge magnum xe
268
+ 30.0,4,98.0,68.0,2155,16.5,78,usa,chevrolet chevette
269
+ 27.5,4,134.0,95.0,2560,14.2,78,japan,toyota corona
270
+ 27.2,4,119.0,97.0,2300,14.7,78,japan,datsun 510
271
+ 30.9,4,105.0,75.0,2230,14.5,78,usa,dodge omni
272
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273
+ 23.2,4,156.0,105.0,2745,16.7,78,usa,plymouth sapporo
274
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275
+ 23.9,4,119.0,97.0,2405,14.9,78,japan,datsun 200-sx
276
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
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299
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300
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301
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302
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303
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304
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305
+ 31.8,4,85.0,65.0,2020,19.2,79,japan,datsun 210
306
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307
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308
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309
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310
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311
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312
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313
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314
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315
+ 28.0,4,151.0,90.0,2678,16.5,80,usa,chevrolet citation
316
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317
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318
+ 19.1,6,225.0,90.0,3381,18.7,80,usa,dodge aspen
319
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320
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321
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322
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323
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324
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325
+ 27.9,4,156.0,105.0,2800,14.4,80,usa,dodge colt
326
+ 40.8,4,85.0,65.0,2110,19.2,80,japan,datsun 210
327
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328
+ 43.4,4,90.0,48.0,2335,23.7,80,europe,vw dasher (diesel)
329
+ 36.4,5,121.0,67.0,2950,19.9,80,europe,audi 5000s (diesel)
330
+ 30.0,4,146.0,67.0,3250,21.8,80,europe,mercedes-benz 240d
331
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332
+ 40.9,4,85.0,,1835,17.3,80,europe,renault lecar deluxe
333
+ 33.8,4,97.0,67.0,2145,18.0,80,japan,subaru dl
334
+ 29.8,4,89.0,62.0,1845,15.3,80,europe,vokswagen rabbit
335
+ 32.7,6,168.0,132.0,2910,11.4,80,japan,datsun 280-zx
336
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337
+ 35.0,4,122.0,88.0,2500,15.1,80,europe,triumph tr7 coupe
338
+ 23.6,4,140.0,,2905,14.3,80,usa,ford mustang cobra
339
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340
+ 27.2,4,135.0,84.0,2490,15.7,81,usa,plymouth reliant
341
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342
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343
+ 23.5,6,173.0,110.0,2725,12.6,81,usa,chevrolet citation
344
+ 30.0,4,135.0,84.0,2385,12.9,81,usa,plymouth reliant
345
+ 39.1,4,79.0,58.0,1755,16.9,81,japan,toyota starlet
346
+ 39.0,4,86.0,64.0,1875,16.4,81,usa,plymouth champ
347
+ 35.1,4,81.0,60.0,1760,16.1,81,japan,honda civic 1300
348
+ 32.3,4,97.0,67.0,2065,17.8,81,japan,subaru
349
+ 37.0,4,85.0,65.0,1975,19.4,81,japan,datsun 210 mpg
350
+ 37.7,4,89.0,62.0,2050,17.3,81,japan,toyota tercel
351
+ 34.1,4,91.0,68.0,1985,16.0,81,japan,mazda glc 4
352
+ 34.7,4,105.0,63.0,2215,14.9,81,usa,plymouth horizon 4
353
+ 34.4,4,98.0,65.0,2045,16.2,81,usa,ford escort 4w
354
+ 29.9,4,98.0,65.0,2380,20.7,81,usa,ford escort 2h
355
+ 33.0,4,105.0,74.0,2190,14.2,81,europe,volkswagen jetta
356
+ 34.5,4,100.0,,2320,15.8,81,europe,renault 18i
357
+ 33.7,4,107.0,75.0,2210,14.4,81,japan,honda prelude
358
+ 32.4,4,108.0,75.0,2350,16.8,81,japan,toyota corolla
359
+ 32.9,4,119.0,100.0,2615,14.8,81,japan,datsun 200sx
360
+ 31.6,4,120.0,74.0,2635,18.3,81,japan,mazda 626
361
+ 28.1,4,141.0,80.0,3230,20.4,81,europe,peugeot 505s turbo diesel
362
+ 30.7,6,145.0,76.0,3160,19.6,81,europe,volvo diesel
363
+ 25.4,6,168.0,116.0,2900,12.6,81,japan,toyota cressida
364
+ 24.2,6,146.0,120.0,2930,13.8,81,japan,datsun 810 maxima
365
+ 22.4,6,231.0,110.0,3415,15.8,81,usa,buick century
366
+ 26.6,8,350.0,105.0,3725,19.0,81,usa,oldsmobile cutlass ls
367
+ 20.2,6,200.0,88.0,3060,17.1,81,usa,ford granada gl
368
+ 17.6,6,225.0,85.0,3465,16.6,81,usa,chrysler lebaron salon
369
+ 28.0,4,112.0,88.0,2605,19.6,82,usa,chevrolet cavalier
370
+ 27.0,4,112.0,88.0,2640,18.6,82,usa,chevrolet cavalier wagon
371
+ 34.0,4,112.0,88.0,2395,18.0,82,usa,chevrolet cavalier 2-door
372
+ 31.0,4,112.0,85.0,2575,16.2,82,usa,pontiac j2000 se hatchback
373
+ 29.0,4,135.0,84.0,2525,16.0,82,usa,dodge aries se
374
+ 27.0,4,151.0,90.0,2735,18.0,82,usa,pontiac phoenix
375
+ 24.0,4,140.0,92.0,2865,16.4,82,usa,ford fairmont futura
376
+ 23.0,4,151.0,,3035,20.5,82,usa,amc concord dl
377
+ 36.0,4,105.0,74.0,1980,15.3,82,europe,volkswagen rabbit l
378
+ 37.0,4,91.0,68.0,2025,18.2,82,japan,mazda glc custom l
379
+ 31.0,4,91.0,68.0,1970,17.6,82,japan,mazda glc custom
380
+ 38.0,4,105.0,63.0,2125,14.7,82,usa,plymouth horizon miser
381
+ 36.0,4,98.0,70.0,2125,17.3,82,usa,mercury lynx l
382
+ 36.0,4,120.0,88.0,2160,14.5,82,japan,nissan stanza xe
383
+ 36.0,4,107.0,75.0,2205,14.5,82,japan,honda accord
384
+ 34.0,4,108.0,70.0,2245,16.9,82,japan,toyota corolla
385
+ 38.0,4,91.0,67.0,1965,15.0,82,japan,honda civic
386
+ 32.0,4,91.0,67.0,1965,15.7,82,japan,honda civic (auto)
387
+ 38.0,4,91.0,67.0,1995,16.2,82,japan,datsun 310 gx
388
+ 25.0,6,181.0,110.0,2945,16.4,82,usa,buick century limited
389
+ 38.0,6,262.0,85.0,3015,17.0,82,usa,oldsmobile cutlass ciera (diesel)
390
+ 26.0,4,156.0,92.0,2585,14.5,82,usa,chrysler lebaron medallion
391
+ 22.0,6,232.0,112.0,2835,14.7,82,usa,ford granada l
392
+ 32.0,4,144.0,96.0,2665,13.9,82,japan,toyota celica gt
393
+ 36.0,4,135.0,84.0,2370,13.0,82,usa,dodge charger 2.2
394
+ 27.0,4,151.0,90.0,2950,17.3,82,usa,chevrolet camaro
395
+ 27.0,4,140.0,86.0,2790,15.6,82,usa,ford mustang gl
396
+ 44.0,4,97.0,52.0,2130,24.6,82,europe,vw pickup
397
+ 32.0,4,135.0,84.0,2295,11.6,82,usa,dodge rampage
398
+ 28.0,4,120.0,79.0,2625,18.6,82,usa,ford ranger
399
+ 31.0,4,119.0,82.0,2720,19.4,82,usa,chevy s-10
data/seaborn/penguins.csv ADDED
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1
+ species,island,bill_length_mm,bill_depth_mm,flipper_length_mm,body_mass_g,sex
2
+ Adelie,Torgersen,39.1,18.7,181,3750,MALE
3
+ Adelie,Torgersen,39.5,17.4,186,3800,FEMALE
4
+ Adelie,Torgersen,40.3,18,195,3250,FEMALE
5
+ Adelie,Torgersen,,,,,
6
+ Adelie,Torgersen,36.7,19.3,193,3450,FEMALE
7
+ Adelie,Torgersen,39.3,20.6,190,3650,MALE
8
+ Adelie,Torgersen,38.9,17.8,181,3625,FEMALE
9
+ Adelie,Torgersen,39.2,19.6,195,4675,MALE
10
+ Adelie,Torgersen,34.1,18.1,193,3475,
11
+ Adelie,Torgersen,42,20.2,190,4250,
12
+ Adelie,Torgersen,37.8,17.1,186,3300,
13
+ Adelie,Torgersen,37.8,17.3,180,3700,
14
+ Adelie,Torgersen,41.1,17.6,182,3200,FEMALE
15
+ Adelie,Torgersen,38.6,21.2,191,3800,MALE
16
+ Adelie,Torgersen,34.6,21.1,198,4400,MALE
17
+ Adelie,Torgersen,36.6,17.8,185,3700,FEMALE
18
+ Adelie,Torgersen,38.7,19,195,3450,FEMALE
19
+ Adelie,Torgersen,42.5,20.7,197,4500,MALE
20
+ Adelie,Torgersen,34.4,18.4,184,3325,FEMALE
21
+ Adelie,Torgersen,46,21.5,194,4200,MALE
22
+ Adelie,Biscoe,37.8,18.3,174,3400,FEMALE
23
+ Adelie,Biscoe,37.7,18.7,180,3600,MALE
24
+ Adelie,Biscoe,35.9,19.2,189,3800,FEMALE
25
+ Adelie,Biscoe,38.2,18.1,185,3950,MALE
26
+ Adelie,Biscoe,38.8,17.2,180,3800,MALE
27
+ Adelie,Biscoe,35.3,18.9,187,3800,FEMALE
28
+ Adelie,Biscoe,40.6,18.6,183,3550,MALE
29
+ Adelie,Biscoe,40.5,17.9,187,3200,FEMALE
30
+ Adelie,Biscoe,37.9,18.6,172,3150,FEMALE
31
+ Adelie,Biscoe,40.5,18.9,180,3950,MALE
32
+ Adelie,Dream,39.5,16.7,178,3250,FEMALE
33
+ Adelie,Dream,37.2,18.1,178,3900,MALE
34
+ Adelie,Dream,39.5,17.8,188,3300,FEMALE
35
+ Adelie,Dream,40.9,18.9,184,3900,MALE
36
+ Adelie,Dream,36.4,17,195,3325,FEMALE
37
+ Adelie,Dream,39.2,21.1,196,4150,MALE
38
+ Adelie,Dream,38.8,20,190,3950,MALE
39
+ Adelie,Dream,42.2,18.5,180,3550,FEMALE
40
+ Adelie,Dream,37.6,19.3,181,3300,FEMALE
41
+ Adelie,Dream,39.8,19.1,184,4650,MALE
42
+ Adelie,Dream,36.5,18,182,3150,FEMALE
43
+ Adelie,Dream,40.8,18.4,195,3900,MALE
44
+ Adelie,Dream,36,18.5,186,3100,FEMALE
45
+ Adelie,Dream,44.1,19.7,196,4400,MALE
46
+ Adelie,Dream,37,16.9,185,3000,FEMALE
47
+ Adelie,Dream,39.6,18.8,190,4600,MALE
48
+ Adelie,Dream,41.1,19,182,3425,MALE
49
+ Adelie,Dream,37.5,18.9,179,2975,
50
+ Adelie,Dream,36,17.9,190,3450,FEMALE
51
+ Adelie,Dream,42.3,21.2,191,4150,MALE
52
+ Adelie,Biscoe,39.6,17.7,186,3500,FEMALE
53
+ Adelie,Biscoe,40.1,18.9,188,4300,MALE
54
+ Adelie,Biscoe,35,17.9,190,3450,FEMALE
55
+ Adelie,Biscoe,42,19.5,200,4050,MALE
56
+ Adelie,Biscoe,34.5,18.1,187,2900,FEMALE
57
+ Adelie,Biscoe,41.4,18.6,191,3700,MALE
58
+ Adelie,Biscoe,39,17.5,186,3550,FEMALE
59
+ Adelie,Biscoe,40.6,18.8,193,3800,MALE
60
+ Adelie,Biscoe,36.5,16.6,181,2850,FEMALE
61
+ Adelie,Biscoe,37.6,19.1,194,3750,MALE
62
+ Adelie,Biscoe,35.7,16.9,185,3150,FEMALE
63
+ Adelie,Biscoe,41.3,21.1,195,4400,MALE
64
+ Adelie,Biscoe,37.6,17,185,3600,FEMALE
65
+ Adelie,Biscoe,41.1,18.2,192,4050,MALE
66
+ Adelie,Biscoe,36.4,17.1,184,2850,FEMALE
67
+ Adelie,Biscoe,41.6,18,192,3950,MALE
68
+ Adelie,Biscoe,35.5,16.2,195,3350,FEMALE
69
+ Adelie,Biscoe,41.1,19.1,188,4100,MALE
70
+ Adelie,Torgersen,35.9,16.6,190,3050,FEMALE
71
+ Adelie,Torgersen,41.8,19.4,198,4450,MALE
72
+ Adelie,Torgersen,33.5,19,190,3600,FEMALE
73
+ Adelie,Torgersen,39.7,18.4,190,3900,MALE
74
+ Adelie,Torgersen,39.6,17.2,196,3550,FEMALE
75
+ Adelie,Torgersen,45.8,18.9,197,4150,MALE
76
+ Adelie,Torgersen,35.5,17.5,190,3700,FEMALE
77
+ Adelie,Torgersen,42.8,18.5,195,4250,MALE
78
+ Adelie,Torgersen,40.9,16.8,191,3700,FEMALE
79
+ Adelie,Torgersen,37.2,19.4,184,3900,MALE
80
+ Adelie,Torgersen,36.2,16.1,187,3550,FEMALE
81
+ Adelie,Torgersen,42.1,19.1,195,4000,MALE
82
+ Adelie,Torgersen,34.6,17.2,189,3200,FEMALE
83
+ Adelie,Torgersen,42.9,17.6,196,4700,MALE
84
+ Adelie,Torgersen,36.7,18.8,187,3800,FEMALE
85
+ Adelie,Torgersen,35.1,19.4,193,4200,MALE
86
+ Adelie,Dream,37.3,17.8,191,3350,FEMALE
87
+ Adelie,Dream,41.3,20.3,194,3550,MALE
88
+ Adelie,Dream,36.3,19.5,190,3800,MALE
89
+ Adelie,Dream,36.9,18.6,189,3500,FEMALE
90
+ Adelie,Dream,38.3,19.2,189,3950,MALE
91
+ Adelie,Dream,38.9,18.8,190,3600,FEMALE
92
+ Adelie,Dream,35.7,18,202,3550,FEMALE
93
+ Adelie,Dream,41.1,18.1,205,4300,MALE
94
+ Adelie,Dream,34,17.1,185,3400,FEMALE
95
+ Adelie,Dream,39.6,18.1,186,4450,MALE
96
+ Adelie,Dream,36.2,17.3,187,3300,FEMALE
97
+ Adelie,Dream,40.8,18.9,208,4300,MALE
98
+ Adelie,Dream,38.1,18.6,190,3700,FEMALE
99
+ Adelie,Dream,40.3,18.5,196,4350,MALE
100
+ Adelie,Dream,33.1,16.1,178,2900,FEMALE
101
+ Adelie,Dream,43.2,18.5,192,4100,MALE
102
+ Adelie,Biscoe,35,17.9,192,3725,FEMALE
103
+ Adelie,Biscoe,41,20,203,4725,MALE
104
+ Adelie,Biscoe,37.7,16,183,3075,FEMALE
105
+ Adelie,Biscoe,37.8,20,190,4250,MALE
106
+ Adelie,Biscoe,37.9,18.6,193,2925,FEMALE
107
+ Adelie,Biscoe,39.7,18.9,184,3550,MALE
108
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109
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110
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111
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112
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113
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114
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115
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116
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117
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118
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119
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120
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121
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122
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123
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124
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125
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126
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127
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128
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129
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130
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131
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132
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133
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134
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135
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136
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137
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138
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139
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140
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141
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142
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143
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144
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145
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146
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147
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148
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149
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150
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151
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152
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153
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154
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155
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156
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157
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158
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159
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160
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161
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162
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163
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164
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165
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166
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167
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168
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169
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170
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171
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172
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173
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174
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175
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176
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177
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178
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179
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180
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181
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182
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183
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184
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185
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186
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187
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188
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189
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190
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191
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192
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193
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194
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195
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196
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197
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198
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199
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200
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201
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202
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203
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204
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205
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206
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207
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208
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209
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210
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211
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212
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213
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214
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215
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216
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217
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218
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219
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220
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221
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222
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223
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224
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225
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226
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227
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228
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229
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230
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231
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232
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233
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234
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235
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236
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237
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238
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239
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240
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241
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242
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243
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244
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245
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246
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247
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248
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249
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250
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251
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252
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253
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254
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255
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256
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257
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258
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259
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260
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261
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262
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263
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264
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265
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266
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267
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268
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269
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270
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271
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272
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274
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275
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276
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277
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278
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279
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280
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281
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282
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283
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284
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285
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286
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287
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288
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289
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290
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291
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292
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293
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294
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295
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296
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297
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298
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299
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300
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301
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302
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303
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304
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305
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306
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307
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308
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309
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310
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311
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312
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313
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314
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315
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316
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317
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318
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319
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320
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321
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322
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323
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324
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325
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326
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327
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328
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329
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330
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331
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332
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333
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334
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335
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336
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337
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338
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339
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340
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341
+ Gentoo,Biscoe,,,,,
342
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343
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344
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+ Gentoo,Biscoe,49.9,16.1,213,5400,MALE
data/seaborn/planets.csv ADDED
@@ -0,0 +1,1036 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ method,number,orbital_period,mass,distance,year
2
+ Radial Velocity,1,269.3,7.1,77.4,2006
3
+ Radial Velocity,1,874.774,2.21,56.95,2008
4
+ Radial Velocity,1,763.0,2.6,19.84,2011
5
+ Radial Velocity,1,326.03,19.4,110.62,2007
6
+ Radial Velocity,1,516.22,10.5,119.47,2009
7
+ Radial Velocity,1,185.84,4.8,76.39,2008
8
+ Radial Velocity,1,1773.4,4.64,18.15,2002
9
+ Radial Velocity,1,798.5,,21.41,1996
10
+ Radial Velocity,1,993.3,10.3,73.1,2008
11
+ Radial Velocity,2,452.8,1.99,74.79,2010
12
+ Radial Velocity,2,883.0,0.86,74.79,2010
13
+ Radial Velocity,1,335.1,9.88,39.43,2009
14
+ Radial Velocity,1,479.1,3.88,97.28,2008
15
+ Radial Velocity,3,1078.0,2.53,14.08,1996
16
+ Radial Velocity,3,2391.0,0.54,14.08,2001
17
+ Radial Velocity,3,14002.0,1.64,14.08,2009
18
+ Radial Velocity,1,4.230785,0.472,15.36,1995
19
+ Radial Velocity,5,14.651,0.8,12.53,1996
20
+ Radial Velocity,5,44.38,0.165,12.53,2004
21
+ Radial Velocity,5,4909.0,3.53,12.53,2002
22
+ Radial Velocity,5,0.73654,,12.53,2011
23
+ Radial Velocity,5,261.2,0.172,12.53,2007
24
+ Radial Velocity,3,4.215,0.016,8.52,2009
25
+ Radial Velocity,3,38.021,0.057,8.52,2009
26
+ Radial Velocity,3,123.01,0.072,8.52,2009
27
+ Radial Velocity,1,116.6884,,18.11,1996
28
+ Radial Velocity,1,691.9,,81.5,2012
29
+ Radial Velocity,1,952.7,5.3,97.18,2008
30
+ Radial Velocity,1,181.4,3.2,45.52,2013
31
+ Imaging,1,,,45.52,2005
32
+ Imaging,1,,,165.0,2007
33
+ Imaging,1,,,140.0,2004
34
+ Eclipse Timing Variations,1,10220.0,6.05,,2009
35
+ Imaging,1,,,,2008
36
+ Imaging,1,,,145.0,2013
37
+ Imaging,1,,,139.0,2004
38
+ Imaging,1,,,18.39,2006
39
+ Eclipse Timing Variations,2,5767.0,,130.72,2008
40
+ Eclipse Timing Variations,2,3321.0,,130.72,2008
41
+ Eclipse Timing Variations,2,5573.55,,500.0,2010
42
+ Eclipse Timing Variations,2,2883.5,,500.0,2010
43
+ Eclipse Timing Variations,1,2900.0,,,2011
44
+ Eclipse Timing Variations,1,4343.5,4.2,,2012
45
+ Eclipse Timing Variations,2,5840.0,,,2011
46
+ Eclipse Timing Variations,2,1916.25,,,2011
47
+ Radial Velocity,1,380.8,1.8,20.21,2010
48
+ Radial Velocity,1,3.2357,0.0036,1.35,2012
49
+ Imaging,1,6000.0,,19.28,2008
50
+ Radial Velocity,1,2502.0,1.55,3.22,2000
51
+ Radial Velocity,1,417.9,,70.42,2012
52
+ Radial Velocity,1,594.9,7.6,47.53,2006
53
+ Radial Velocity,1,428.5,8.78,38.52,2009
54
+ Radial Velocity,1,903.3,1.85,13.79,2003
55
+ Radial Velocity,1,1251.0,,31.12,2007
56
+ Imaging,1,,,52.03,2012
57
+ Radial Velocity,1,136.75,2.8,62.66,2007
58
+ Radial Velocity,2,530.32,,46.84,2012
59
+ Radial Velocity,2,3186.0,,46.84,2012
60
+ Radial Velocity,1,277.02,1.7,80.64,2013
61
+ Radial Velocity,1,187.83,,84.03,2012
62
+ Radial Velocity,1,1630.0,,56.31,2012
63
+ Radial Velocity,1,39.845,1.04,17.43,1997
64
+ Radial Velocity,1,3.3135,3.9,15.6,1996
65
+ Radial Velocity,1,305.5,20.6,92.51,2013
66
+ Radial Velocity,4,4.617033,0.6876,13.47,1996
67
+ Radial Velocity,4,241.258,1.981,13.47,1999
68
+ Radial Velocity,4,1276.46,4.132,13.47,1999
69
+ Radial Velocity,4,3848.86,1.059,13.47,2010
70
+ Imaging,1,318280.0,,7.69,2008
71
+ Imaging,1,,,145.0,2008
72
+ Imaging,1,,,36.0,2013
73
+ Imaging,1,,,140.0,2010
74
+ Imaging,1,4639.15,,12.21,2009
75
+ Imaging,1,,,52.4,2004
76
+ Imaging,1,7336.5,,25.0,2009
77
+ Imaging,1,8679.7,,26.67,2009
78
+ Radial Velocity,1,655.6,5.1,37.54,2008
79
+ Radial Velocity,1,714.3,10.6,,2007
80
+ Radial Velocity,1,3.48777,,80.0,2000
81
+ Radial Velocity,2,5.6,0.045,42.09,2009
82
+ Radial Velocity,2,237.6,0.33,42.09,2009
83
+ Radial Velocity,2,3.8728,0.027,20.1,2013
84
+ Radial Velocity,2,125.94,0.17,20.1,2013
85
+ Radial Velocity,1,268.94,1.47,50.03,2009
86
+ Radial Velocity,1,137.48,1.11,175.44,2013
87
+ Radial Velocity,2,379.63,21.42,,2009
88
+ Radial Velocity,2,621.99,12.47,,2009
89
+ Radial Velocity,1,578.2,,,2012
90
+ Radial Velocity,1,392.6,0.91,,2011
91
+ Imaging,1,10037.5,,23.1,2011
92
+ Imaging,1,,,,2006
93
+ Transit,1,1.5089557,,,2008
94
+ Transit,1,1.7429935,,200.0,2008
95
+ Transit,1,4.2568,,680.0,2008
96
+ Transit,1,9.20205,,,2008
97
+ Transit,1,4.0378962,,,2009
98
+ Transit,1,8.886593,,,2009
99
+ Transit,2,0.853585,,150.0,2009
100
+ Radial Velocity,2,3.698,,150.0,2009
101
+ Transit,1,6.21229,,380.0,2010
102
+ Transit,1,95.2738,,460.0,2009
103
+ Transit,1,13.2406,,345.0,2010
104
+ Transit,1,2.99433,,560.0,2010
105
+ Transit,1,2.828042,,1150.0,2010
106
+ Transit,1,4.03519,,1060.0,2010
107
+ Transit,1,1.51214,,1340.0,2010
108
+ Transit,1,5.35227,,840.0,2011
109
+ Transit,1,3.7681,,920.0,2011
110
+ Transit,1,1.9000693,,870.0,2011
111
+ Transit,1,3.89713,,770.0,2011
112
+ Transit,1,9.24285,,1230.0,2011
113
+ Transit,1,3.6313,,600.0,2011
114
+ Transit,1,3.57532,,,2014
115
+ Astrometry,1,246.36,,20.77,2013
116
+ Radial Velocity,1,15.76491,3.91,10.91,1999
117
+ Radial Velocity,3,8.631,0.035,14.97,2013
118
+ Radial Velocity,3,25.6,0.024,14.97,2013
119
+ Radial Velocity,3,603.0,0.079,14.97,2013
120
+ Radial Velocity,1,2288.0,0.82,12.12,2009
121
+ Radial Velocity,2,692.0,1.894,15.1,2007
122
+ Radial Velocity,2,7100.0,1.6,15.1,2011
123
+ Radial Velocity,1,4100.0,2.3,20.03,2013
124
+ Radial Velocity,1,7.3709,0.018,9.04,2011
125
+ Radial Velocity,1,2.64385,,10.23,2004
126
+ Imaging,1,,,17.95,2013
127
+ Radial Velocity,4,5.36874,0.049,6.27,2005
128
+ Radial Velocity,4,12.9292,0.017,6.27,2005
129
+ Radial Velocity,4,66.8,0.022,6.27,2005
130
+ Radial Velocity,4,3.14942,0.006,6.27,2005
131
+ Radial Velocity,1,598.3,0.328,10.32,2009
132
+ Radial Velocity,6,7.2004,0.018,6.8,2011
133
+ Radial Velocity,6,28.14,0.012,6.8,2011
134
+ Radial Velocity,6,91.61,0.016,6.8,2013
135
+ Radial Velocity,6,62.24,0.008,6.8,2013
136
+ Radial Velocity,6,39.026,0.008,6.8,2013
137
+ Radial Velocity,6,256.2,0.014,6.8,2013
138
+ Radial Velocity,1,4.6938,0.035,4.54,2007
139
+ Radial Velocity,3,1050.3,4.95,16.13,2010
140
+ Radial Velocity,3,3.6,0.014,16.13,2012
141
+ Radial Velocity,3,35.37,0.036,16.13,2012
142
+ Radial Velocity,1,3416.0,0.64,4.94,2008
143
+ Radial Velocity,1,1845.0,0.91,8.77,2006
144
+ Radial Velocity,4,61.1166,2.2756,4.7,1998
145
+ Radial Velocity,4,30.0881,0.7142,4.7,2000
146
+ Radial Velocity,4,1.93778,0.021,4.7,2005
147
+ Radial Velocity,4,124.26,0.046,4.7,2010
148
+ Transit,1,1.58040482,,,2009
149
+ Radial Velocity,1,133.71,3.37,17.62,2000
150
+ Radial Velocity,1,3.33714,,25.2,2012
151
+ Radial Velocity,1,2.64561,0.022,19.8,2010
152
+ Imaging,1,,,145.0,2010
153
+ Transit,1,4.4652934,,139.0,2006
154
+ Transit,1,5.6334729,,135.32,2007
155
+ Transit,1,2.899736,,138.0,2007
156
+ Transit,1,3.056536,,314.0,2007
157
+ Transit,1,2.788491,,342.0,2007
158
+ Transit,1,3.852985,,261.0,2007
159
+ Transit,1,3.0763776,,230.0,2008
160
+ Transit,1,3.92289,,480.0,2008
161
+ Transit,1,3.2130598,,142.5,2009
162
+ Transit,2,2.91626,,214.0,2009
163
+ Radial Velocity,2,428.5,15.2,214.0,2009
164
+ Transit,1,4.627669,,205.0,2010
165
+ Transit,1,10.863502,,190.0,2010
166
+ Transit,1,2.77596,,235.0,2010
167
+ Transit,2,10.338523,,90.0,2010
168
+ Radial Velocity,2,5584.0,3.4,90.0,2010
169
+ Transit,1,5.508023,,166.0,2010
170
+ Transit,1,4.008778,,215.0,2010
171
+ Transit,1,2.875317,,70.0,2010
172
+ Transit,1,4.124481,,254.0,2010
173
+ Transit,1,3.21222,,82.0,2010
174
+ Transit,1,1.212884,,393.0,2010
175
+ Transit,1,3.35524,,396.0,2010
176
+ Transit,1,3.652836,,297.0,2010
177
+ Transit,1,4.234516,,134.0,2010
178
+ Transit,1,3.039577,,204.0,2011
179
+ Transit,1,3.257215,,395.0,2011
180
+ Transit,1,5.723186,,322.0,2011
181
+ Transit,1,2.810595,,193.0,2011
182
+ Transit,2,5.005425,,354.0,2011
183
+ Radial Velocity,2,1022.0,3.4,354.0,2011
184
+ Transit,1,2.150008,,283.0,2011
185
+ Transit,1,3.474474,,387.0,2011
186
+ Transit,1,5.452654,,257.0,2011
187
+ Transit,1,3.646706,,535.0,2011
188
+ Transit,1,1.327347,,317.0,2011
189
+ Transit,1,2.797436,,411.0,2011
190
+ Transit,1,4.640382,,249.0,2012
191
+ Transit,1,3.54387,,642.0,2012
192
+ Transit,1,4.457243,,501.0,2012
193
+ Transit,1,2.694047,,344.0,2012
194
+ Transit,1,4.641878,,447.0,2012
195
+ Transit,1,3.332687,,542.0,2012
196
+ Transit,1,2.691548,,322.0,2014
197
+ Transit,1,3.446459,,303.0,2012
198
+ Transit,1,1.354133,,360.0,2013
199
+ Transit,1,3.547851,,453.0,2013
200
+ Radial Velocity,2,349.7,1.25,25.64,2001
201
+ Radial Velocity,2,6005.0,5.3,25.64,2012
202
+ Radial Velocity,2,5.7727,0.024,23.44,2009
203
+ Radial Velocity,2,13.505,0.0186,23.44,2011
204
+ Radial Velocity,1,431.8,3.1,167.5,2011
205
+ Radial Velocity,1,533.0,6.1,7.01,2010
206
+ Radial Velocity,1,1183.0,4.9,89.85,2002
207
+ Radial Velocity,1,3.4442,0.48,53.71,2005
208
+ Radial Velocity,1,311.6,1.6,115.21,2013
209
+ Radial Velocity,1,62.218,0.229,11.11,2003
210
+ Radial Velocity,1,526.62,1.56,44.05,2007
211
+ Radial Velocity,1,829.0,0.8,32.7,2001
212
+ Radial Velocity,1,15.609,0.0405,21.85,2005
213
+ Radial Velocity,1,431.88,2.07,77.82,2001
214
+ Radial Velocity,1,356.0,2.3,131.41,2009
215
+ Radial Velocity,2,360.2,2.37,56.5,2012
216
+ Radial Velocity,2,2732.0,2.37,56.5,2012
217
+ Radial Velocity,1,675.0,1.94,100.0,2007
218
+ Radial Velocity,1,777.0,1.96,53.28,2009
219
+ Radial Velocity,1,792.6,,58.17,2012
220
+ Radial Velocity,1,177.11,7.6,150.6,2011
221
+ Radial Velocity,1,22.09,0.48,40.32,2003
222
+ Radial Velocity,1,2496.0,1.65,55.01,2009
223
+ Radial Velocity,1,615.0,0.29,35.88,2011
224
+ Radial Velocity,2,1275.0,1.11,38.52,2011
225
+ Radial Velocity,2,4046.0,2.0,38.52,2011
226
+ Radial Velocity,1,5.3978,0.029,16.82,2008
227
+ Radial Velocity,1,1313.0,0.63,56.34,2010
228
+ Radial Velocity,1,227.0,1.8,44.15,2002
229
+ Radial Velocity,1,1634.0,14.2,38.26,2009
230
+ Radial Velocity,2,30.052,0.7,52.85,2009
231
+ Radial Velocity,2,192.9,1.82,52.85,2009
232
+ Radial Velocity,6,5.75962,0.041,39.39,2010
233
+ Radial Velocity,6,16.3567,0.038,39.39,2010
234
+ Radial Velocity,6,49.747,0.08,39.39,2010
235
+ Radial Velocity,6,122.72,0.074,39.39,2010
236
+ Radial Velocity,6,602.0,0.067,39.39,2010
237
+ Radial Velocity,6,2248.0,0.205,39.39,2010
238
+ Radial Velocity,1,989.2,0.94,17.35,2006
239
+ Radial Velocity,1,1075.2,6.21,32.56,1999
240
+ Radial Velocity,2,1270.2,3.44,53.82,2007
241
+ Radial Velocity,2,170.455,0.82,53.82,2008
242
+ Radial Velocity,1,711.0,6.54,66.49,2005
243
+ Radial Velocity,2,1945.0,0.622,33.98,2005
244
+ Radial Velocity,2,37.91,0.0788,33.98,2008
245
+ Radial Velocity,2,262.709,2.3,37.16,2000
246
+ Radial Velocity,2,1708.0,1.92,37.16,2002
247
+ Radial Velocity,1,471.6,14.0,300.3,2005
248
+ Radial Velocity,2,14.182,0.0325,28.6,2011
249
+ Radial Velocity,2,53.832,0.036,28.6,2011
250
+ Radial Velocity,2,19.382,0.865,66.89,2013
251
+ Radial Velocity,2,931.0,5.13,66.89,2013
252
+ Radial Velocity,1,4218.0,1.88,45.52,2009
253
+ Radial Velocity,1,75.523,0.26,35.91,2000
254
+ Radial Velocity,1,17.24,0.0696,25.54,2008
255
+ Radial Velocity,1,990.0,4.4,59.84,2009
256
+ Radial Velocity,1,465.1,14.3,50.18,2009
257
+ Radial Velocity,1,359.9,4.6,,2007
258
+ Radial Velocity,1,21.21663,,78.25,2007
259
+ Radial Velocity,1,772.0,2.7,127.88,2011
260
+ Radial Velocity,1,466.2,1.37,22.38,2003
261
+ Radial Velocity,2,11.849,0.0378,43.08,2011
262
+ Radial Velocity,2,33.823,0.0422,43.08,2011
263
+ Radial Velocity,1,500.0,1.07,27.13,2002
264
+ Radial Velocity,3,18.315,0.0085,6.06,2011
265
+ Radial Velocity,3,40.114,0.00755,6.06,2011
266
+ Radial Velocity,3,90.309,0.0151,6.06,2011
267
+ Radial Velocity,2,29.15,0.0379,35.89,2011
268
+ Radial Velocity,2,85.131,0.0496,35.89,2011
269
+ Radial Velocity,1,591.9,1.9,36.02,2006
270
+ Radial Velocity,1,380.85,1.99,44.5,2008
271
+ Radial Velocity,2,22.656,0.0322,32.31,2011
272
+ Radial Velocity,2,53.881,0.06472,32.31,2011
273
+ Radial Velocity,1,1214.0,1.5,89.13,2006
274
+ Radial Velocity,1,738.459,2.61,34.6,2001
275
+ Radial Velocity,1,528.07,13.65,31.79,2011
276
+ Radial Velocity,1,1561.0,7.71,51.97,2003
277
+ Radial Velocity,1,3668.0,4.01,46.51,2006
278
+ Radial Velocity,1,1845.0,0.95,56.05,2010
279
+ Radial Velocity,1,423.841,1.28,18.24,2000
280
+ Radial Velocity,1,2208.0,1.45,44.54,2012
281
+ Radial Velocity,1,17.991,0.62,42.37,2005
282
+ Radial Velocity,1,1117.0,1.16,56.18,2010
283
+ Radial Velocity,1,385.9,5.59,39.56,2001
284
+ Radial Velocity,1,387.1,1.7,168.92,2011
285
+ Radial Velocity,1,2819.654,9.17,54.71,2002
286
+ Radial Velocity,1,1159.2,1.373,26.5,2009
287
+ Radial Velocity,1,912.0,1.8,121.07,2011
288
+ Radial Velocity,1,466.0,0.5,53.82,2010
289
+ Radial Velocity,3,16.546,0.0363,38.01,2011
290
+ Radial Velocity,3,51.284,0.0498,38.01,2011
291
+ Radial Velocity,3,274.49,0.0519,38.01,2011
292
+ Radial Velocity,1,326.6,1.3,136.8,2011
293
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294
+ Radial Velocity,1,157.54,3.04,117.37,2009
295
+ Radial Velocity,1,1049.0,0.79,45.01,2009
296
+ Radial Velocity,1,388.0,9.1,20.98,2005
297
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298
+ Radial Velocity,3,154.46,0.61,33.24,2002
299
+ Radial Velocity,3,2295.0,0.683,33.24,2002
300
+ Radial Velocity,3,843.6,0.624,33.24,2005
301
+ Radial Velocity,1,2063.818,10.35,18.21,2001
302
+ Radial Velocity,2,55.0,2.3,42.88,2004
303
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304
+ Radial Velocity,3,5.6363,0.0117,25.59,2011
305
+ Radial Velocity,3,14.025,0.0187,25.59,2011
306
+ Radial Velocity,3,33.941,0.0162,25.59,2011
307
+ Radial Velocity,2,14.3098,0.839,42.43,2000
308
+ Radial Velocity,2,2140.2,13.38,42.43,2000
309
+ Radial Velocity,1,696.3,10.7,99.4,2009
310
+ Radial Velocity,1,407.15,0.0961,15.56,2011
311
+ Radial Velocity,6,4.3123,0.0126,12.83,2008
312
+ Radial Velocity,6,9.6184,0.0208,12.83,2008
313
+ Radial Velocity,6,20.432,0.0299,12.83,2008
314
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315
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316
+ Radial Velocity,6,197.8,0.0223,12.83,2012
317
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318
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319
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320
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321
+ Radial Velocity,2,25.648,0.027,52.03,2013
322
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323
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324
+ Radial Velocity,1,36.96,2.49,93.2,2007
325
+ Radial Velocity,1,472.0,0.58,50.43,2010
326
+ Radial Velocity,1,5.8872,0.04,22.04,2011
327
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328
+ Radial Velocity,2,342.85,0.6579,32.58,2008
329
+ Radial Velocity,1,890.76,1.79,48.95,2004
330
+ Radial Velocity,1,43.6,0.47,36.14,2008
331
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332
+ Radial Velocity,2,4.0845,0.07167000000000001,37.84,2008
333
+ Radial Velocity,2,1353.6,0.35061,37.84,2008
334
+ Radial Velocity,2,430.0,5.0,121.36,2002
335
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336
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337
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338
+ Radial Velocity,1,2582.7,1.71,47.26,2005
339
+ Radial Velocity,1,1279.0,4.9,31.03,2002
340
+ Radial Velocity,2,14.07,0.0413,34.07,2011
341
+ Radial Velocity,2,95.415,0.0565,34.07,2011
342
+ Radial Velocity,1,118.96,1.13,28.07,2000
343
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344
+ Radial Velocity,2,201.83,3.1548,25.7,2008
345
+ Radial Velocity,2,607.06,7.4634,25.7,2008
346
+ Radial Velocity,1,2.817822,0.38,35.8,2005
347
+ Radial Velocity,1,589.64,2.9,10.34,2006
348
+ Radial Velocity,1,358.0,0.64,32.62,2009
349
+ Radial Velocity,2,572.4,1.26,35.59,2003
350
+ Radial Velocity,2,152.6,0.17,35.59,2011
351
+ Radial Velocity,1,480.5,6.0,80.06,2012
352
+ Radial Velocity,1,1973.0,2.82,55.04,2005
353
+ Radial Velocity,1,6.276,1.9,58.82,2001
354
+ Radial Velocity,3,8.667,0.033,12.58,2006
355
+ Radial Velocity,3,31.56,0.038,12.58,2006
356
+ Radial Velocity,3,197.0,0.058,12.58,2006
357
+ Radial Velocity,1,851.8,6.1,,2007
358
+ Radial Velocity,1,2231.0,2.0,28.76,2003
359
+ Radial Velocity,1,3383.0,3.15,51.36,2002
360
+ Radial Velocity,1,1260.0,3.06,53.05,2008
361
+ Radial Velocity,1,2.54858,1.87,36.52,2003
362
+ Radial Velocity,2,188.9,2.25,94.61,2002
363
+ Radial Velocity,2,379.1,2.25,94.61,2005
364
+ Radial Velocity,1,1800.0,1.15,96.99,2008
365
+ Radial Velocity,3,51.645,1.8,64.56,2003
366
+ Radial Velocity,3,2473.0,8.06,64.56,2003
367
+ Radial Velocity,3,346.6,0.396,64.56,2007
368
+ Radial Velocity,1,3.51,0.42,28.94,1999
369
+ Radial Velocity,1,418.2,2.51,80.58,2007
370
+ Radial Velocity,1,3.971,0.197,59.7,2002
371
+ Radial Velocity,1,5.7361,,41.27,2012
372
+ Radial Velocity,1,1966.1,1.34,48.64,2011
373
+ Radial Velocity,1,111.4357,,29.04,2001
374
+ Radial Velocity,1,1001.7,6.86,32.56,2005
375
+ Radial Velocity,1,184.02,2.7,88.26,2007
376
+ Radial Velocity,2,441.47,,27.46,2003
377
+ Radial Velocity,2,220.078,,27.46,2003
378
+ Radial Velocity,1,705.0,1.3,112.23,2011
379
+ Radial Velocity,1,2.985625,0.4,43.53,2002
380
+ Radial Velocity,1,788.0,0.132,33.96,2009
381
+ Radial Velocity,1,58.43,0.01133,11.15,2011
382
+ Radial Velocity,1,2.1375,1.5,91.16,2006
383
+ Radial Velocity,1,1695.0,0.92,42.48,2009
384
+ Radial Velocity,1,1475.0,7.0,72.57,2009
385
+ Radial Velocity,1,2754.0,1.78,18.06,2009
386
+ Radial Velocity,1,3.416,0.22,74.46,2004
387
+ Radial Velocity,1,2157.0,1.78,30.88,2009
388
+ Radial Velocity,1,256.78,8.44,38.99,1999
389
+ Radial Velocity,1,49.77,0.057,22.09,2009
390
+ Radial Velocity,1,325.81,3.86,32.32,2000
391
+ Radial Velocity,1,143.58,0.37,28.9,2005
392
+ Radial Velocity,2,13.186,0.0263,42.52,2011
393
+ Radial Velocity,2,46.025,0.0318,42.52,2011
394
+ Imaging,1,,,91.57,2013
395
+ Radial Velocity,1,507.0,1.2,149.03,2009
396
+ Radial Velocity,1,361.1,0.9,132.8,2011
397
+ Radial Velocity,1,498.9,0.68,84.03,2009
398
+ Radial Velocity,1,647.3,4.0,221.24,2011
399
+ Radial Velocity,2,8.1256,0.0284,26.21,2011
400
+ Radial Velocity,2,103.49,0.04,26.21,2011
401
+ Radial Velocity,1,9.494,0.026,21.3,2010
402
+ Radial Velocity,1,436.9,1.8,150.38,2011
403
+ Radial Velocity,1,4951.0,6.8,42.77,2012
404
+ Radial Velocity,1,439.3,0.502,60.46,2005
405
+ Radial Velocity,2,17.054,0.087,17.99,2004
406
+ Radial Velocity,2,4970.0,0.36,17.99,2010
407
+ Radial Velocity,1,868.0,1.4,130.89,2011
408
+ Radial Velocity,1,157.57,1.7,140.85,2011
409
+ Radial Velocity,1,383.7,1.16,52.8,2007
410
+ Radial Velocity,1,70.46,0.3,30.5,2005
411
+ Radial Velocity,1,20.8133,0.172,42.0,2005
412
+ Radial Velocity,1,4.113775,0.45,28.98,2006
413
+ Radial Velocity,2,127.58,5.9,164.2,2008
414
+ Radial Velocity,2,520.0,2.6,164.2,2008
415
+ Radial Velocity,1,122.1,0.05,9.24,2010
416
+ Radial Velocity,1,778.1,5.9,138.5,2011
417
+ Radial Velocity,1,6.495,0.96,121.07,2010
418
+ Radial Velocity,1,47.84,0.098,49.33,2009
419
+ Radial Velocity,1,5.8881,0.367,53.08,2013
420
+ Radial Velocity,1,55.806,0.186,20.82,2009
421
+ Radial Velocity,1,199.505,8.3,102.04,2003
422
+ Radial Velocity,1,1531.0,6.92,37.44,2002
423
+ Radial Velocity,1,2890.0,11.0,87.87,2011
424
+ Radial Velocity,1,3630.0,9.61,36.36,2012
425
+ Imaging,1,,,91.83,2013
426
+ Radial Velocity,1,48.056,0.21,51.26,2005
427
+ Radial Velocity,1,10.8985,0.261,38.56,2002
428
+ Radial Velocity,1,443.4,2.6,138.5,2011
429
+ Radial Velocity,2,395.8,1.29,68.54,2002
430
+ Radial Velocity,2,1624.0,0.99,68.54,2005
431
+ Radial Velocity,1,68.27,0.77,65.62,2010
432
+ Radial Velocity,2,7.8543,0.054,56.92,2013
433
+ Radial Velocity,2,30.93,0.076,56.92,2013
434
+ Radial Velocity,1,5.24,0.28,59.03,2005
435
+ Radial Velocity,1,835.477,11.09,97.66,2009
436
+ Radial Velocity,1,1143.0,6.8,28.88,2003
437
+ Radial Velocity,1,324.0,2.83,37.42,2013
438
+ Radial Velocity,2,263.3,0.27,15.71,2010
439
+ Radial Velocity,2,1657.0,0.71,15.71,2010
440
+ Radial Velocity,2,937.7,1.24,28.04,2003
441
+ Radial Velocity,2,1046.0,,28.04,2011
442
+ Radial Velocity,1,3827.0,0.48,20.48,2014
443
+ Radial Velocity,1,83.888,11.68,40.57,1989
444
+ Radial Velocity,1,493.7,1.1,20.43,2001
445
+ Radial Velocity,1,1114.0,0.95,35.0,2002
446
+ Radial Velocity,1,670.0,2.1,110.62,2011
447
+ Radial Velocity,1,2597.0,1.88,33.01,2004
448
+ Radial Velocity,1,25.827,0.178,38.02,2004
449
+ Radial Velocity,1,6.1335,2.13,88.57,2005
450
+ Radial Velocity,1,2082.0,4.5,97.66,2013
451
+ Radial Velocity,1,63.33,1.22,44.37,2003
452
+ Radial Velocity,1,344.95,3.71,133.16,2003
453
+ Radial Velocity,3,559.4,3.0,52.83,2007
454
+ Radial Velocity,3,4.1547,0.058,52.83,2009
455
+ Radial Velocity,3,3008.0,7.2,52.83,2009
456
+ Radial Velocity,1,9.6737,0.041,27.45,2009
457
+ Radial Velocity,1,1244.0,0.38,68.35,2009
458
+ Radial Velocity,1,948.12,0.224,38.05,2011
459
+ Radial Velocity,2,454.2,1.45,16.57,2002
460
+ Radial Velocity,2,923.8,3.24,16.57,2005
461
+ Radial Velocity,1,1840.0,1.6,67.61,2009
462
+ Radial Velocity,1,10.7085,1.04,29.76,1999
463
+ Radial Velocity,1,883.0,2.2,121.36,2011
464
+ Radial Velocity,1,1951.0,18.15,57.21,2008
465
+ Radial Velocity,1,974.0,5.61,70.97,2007
466
+ Radial Velocity,1,1544.0,1.49,98.52,2011
467
+ Radial Velocity,2,3.27,0.0351,24.15,2011
468
+ Radial Velocity,2,1160.9,0.1507,24.15,2011
469
+ Radial Velocity,2,258.19,1.59,25.65,1999
470
+ Radial Velocity,2,5000.0,0.82,25.65,2009
471
+ Radial Velocity,3,12.083,0.0292,26.91,2011
472
+ Radial Velocity,3,59.519,0.0382,26.91,2011
473
+ Radial Velocity,3,459.26,0.121,26.91,2011
474
+ Radial Velocity,1,464.3,2.0,106.38,2009
475
+ Radial Velocity,3,11.577,0.0166,14.56,2011
476
+ Radial Velocity,3,27.582,0.0358,14.56,2011
477
+ Radial Velocity,3,106.72,0.03,14.56,2011
478
+ Radial Velocity,1,330.0,0.223,38.45,2011
479
+ Radial Velocity,1,1125.7,9.76,121.36,2008
480
+ Radial Velocity,1,653.22,9.7,33.46,2002
481
+ Radial Velocity,1,1928.0,5.1,35.87,2005
482
+ Radial Velocity,1,1299.0,1.9,106.38,2011
483
+ Radial Velocity,1,386.3,1.62,34.57,2003
484
+ Radial Velocity,1,1057.0,3.12,59.35,2008
485
+ Radial Velocity,1,176.3,2.9,126.1,2010
486
+ Radial Velocity,1,103.95,5.76,55.19,2008
487
+ Radial Velocity,2,44.236,2.12,42.68,2009
488
+ Radial Velocity,2,1008.0,6.56,42.68,2009
489
+ Radial Velocity,1,528.4,1.21,12.87,2003
490
+ Radial Velocity,1,1027.0,0.85,53.05,2009
491
+ Radial Velocity,1,331.5,0.96,59.28,2009
492
+ Radial Velocity,1,2.8758911,,78.86,2005
493
+ Radial Velocity,1,4.072,1.33,63.49,2005
494
+ Radial Velocity,1,2.391,15.5,76.51,2009
495
+ Radial Velocity,1,1096.2,0.168,29.55,2011
496
+ Radial Velocity,1,2097.0,3.0,85.18,2009
497
+ Radial Velocity,1,689.0,1.5,182.82,2011
498
+ Radial Velocity,1,499.4,2.73,51.87,2008
499
+ Radial Velocity,1,18.596,0.0193,18.08,2011
500
+ Radial Velocity,1,3342.0,0.947,18.06,2006
501
+ Radial Velocity,1,163.9,5.02,65.79,2008
502
+ Radial Velocity,2,408.6,2.24,68.54,2004
503
+ Radial Velocity,2,3452.0,2.58,68.54,2014
504
+ Radial Velocity,2,194.3,0.85,43.4,2007
505
+ Radial Velocity,2,391.9,0.82,43.4,2007
506
+ Radial Velocity,1,131.05,9.71,35.37,2011
507
+ Radial Velocity,1,842.0,0.75,55.1,2009
508
+ Radial Velocity,1,4.6455,0.013,24.05,2010
509
+ Radial Velocity,1,359.5546,10.57,49.0,2007
510
+ Radial Velocity,1,104.84,0.12,33.48,2011
511
+ Radial Velocity,1,521.0,1.8,114.15,2011
512
+ Radial Velocity,2,12.62,1.13,68.59,2013
513
+ Radial Velocity,2,248.4,1.9,68.59,2013
514
+ Radial Velocity,2,1178.4,2.1,52.72,2006
515
+ Radial Velocity,2,352.3,0.73,52.72,2012
516
+ Radial Velocity,4,643.25,,15.28,2000
517
+ Radial Velocity,4,4205.8,1.814,15.28,2004
518
+ Radial Velocity,4,9.6386,,15.28,2004
519
+ Radial Velocity,4,310.55,,15.28,2006
520
+ Radial Velocity,1,8.428198,14.4,31.26,2002
521
+ Radial Velocity,2,75.29,0.77,69.44,2010
522
+ Radial Velocity,2,1314.0,2.29,69.44,2010
523
+ Radial Velocity,1,282.4,0.48,51.81,2010
524
+ Radial Velocity,1,606.4,2.7,37.98,2009
525
+ Radial Velocity,1,1155.0,0.36,21.92,2005
526
+ Radial Velocity,1,5144.0,3.53,42.99,2012
527
+ Radial Velocity,1,420.77,1.7,50.0,2007
528
+ Radial Velocity,2,58.11289,8.02,37.88,1998
529
+ Radial Velocity,2,1749.5,18.1,37.88,2000
530
+ Radial Velocity,1,6.403,0.23,43.12,2002
531
+ Radial Velocity,2,225.62,2.88,36.32,2000
532
+ Radial Velocity,2,2102.0,4.04,36.32,2003
533
+ Radial Velocity,1,1145.0,0.67,64.98,2007
534
+ Radial Velocity,1,538.0,1.83,,2007
535
+ Radial Velocity,1,1523.0,2.6,44.05,2009
536
+ Radial Velocity,1,323.6,2.7,134.95,2008
537
+ Radial Velocity,1,1290.0,7.8,67.02,2009
538
+ Radial Velocity,1,297.3,0.61,127.55,2007
539
+ Astrometry,1,1016.0,,14.98,2010
540
+ Radial Velocity,2,406.6,1.49,59.03,1999
541
+ Radial Velocity,2,110.9,0.15,59.03,2010
542
+ Radial Velocity,1,71.484,7.03,46.73,2001
543
+ Radial Velocity,1,14.476,0.08,63.69,2008
544
+ Radial Velocity,1,3.0925,0.95,27.05,2000
545
+ Radial Velocity,1,396.03,,131.75,2010
546
+ Radial Velocity,1,479.0,1.6,114.55,2009
547
+ Radial Velocity,1,663.0,3.3,115.47,2009
548
+ Radial Velocity,3,9.3743,0.0238,26.15,2008
549
+ Radial Velocity,3,962.0,0.64,26.15,2008
550
+ Radial Velocity,3,2172.0,0.54,26.15,2008
551
+ Radial Velocity,1,956.0,0.37,55.93,2009
552
+ Radial Velocity,2,634.23,3.69,52.83,2004
553
+ Radial Velocity,2,2950.0,3.82,52.83,2008
554
+ Radial Velocity,1,6.838,0.94,47.37,2006
555
+ Radial Velocity,1,986.0,0.75,44.98,2006
556
+ Radial Velocity,2,3.097,0.52,47.92,1998
557
+ Radial Velocity,2,3810.0,1.99,47.92,1999
558
+ Radial Velocity,1,456.46,1.26,52.63,2004
559
+ Radial Velocity,1,14.275,0.0316,17.72,2011
560
+ Radial Velocity,1,2.21857578,,19.25,2005
561
+ Radial Velocity,1,1136.1,5.93,62.11,2002
562
+ Radial Velocity,2,2891.0,1.502,15.89,2003
563
+ Radial Velocity,2,17.1,0.057,15.89,2005
564
+ Radial Velocity,1,1038.1,1.9,54.23,2007
565
+ Radial Velocity,1,4885.0,3.1,189.39,2009
566
+ Radial Velocity,1,24.348,0.72,19.89,1999
567
+ Radial Velocity,2,74.72,0.05318,8.82,2011
568
+ Radial Velocity,2,525.8,0.07552,8.82,2011
569
+ Radial Velocity,1,351.5,2.5,67.39,2007
570
+ Radial Velocity,1,18.20163,3.7,37.35,1999
571
+ Radial Velocity,1,1289.0,3.0,46.93,2002
572
+ Radial Velocity,1,3638.0,6.9,43.57,2012
573
+ Radial Velocity,1,1333.0,2.58,32.99,2007
574
+ Radial Velocity,1,1035.7,0.79,32.83,2011
575
+ Radial Velocity,2,613.8,1.85,68.35,2010
576
+ Radial Velocity,2,825.0,0.895,68.35,2010
577
+ Radial Velocity,2,255.87,17.4,46.34,2002
578
+ Radial Velocity,2,1383.4,2.44,46.34,2004
579
+ Imaging,1,,,40.85,2006
580
+ Radial Velocity,3,1931.0,4.05,47.3,2009
581
+ Radial Velocity,3,34.873,0.054,47.3,2011
582
+ Radial Velocity,3,2831.6,1.68,47.3,2012
583
+ Radial Velocity,1,1733.0,0.266,26.95,2011
584
+ Radial Velocity,1,279.8,1.37,90.33,2008
585
+ Radial Velocity,1,610.0,2.2,170.07,2009
586
+ Radial Velocity,2,161.97,,55.31,2012
587
+ Radial Velocity,2,1155.7,,55.31,2012
588
+ Radial Velocity,1,123.0,0.45,43.99,2004
589
+ Radial Velocity,1,875.5,9.9,352.11,2012
590
+ Radial Velocity,1,3.52474859,,47.08,1999
591
+ Radial Velocity,1,442.1,1.23,21.29,1998
592
+ Radial Velocity,1,354.8,,55.93,2007
593
+ Radial Velocity,1,2.245715,0.45,52.72,2005
594
+ Radial Velocity,1,373.3,2.3,121.8,2009
595
+ Radial Velocity,1,951.0,4.5,40.75,2001
596
+ Radial Velocity,2,7.2825,0.0087,21.52,2011
597
+ Radial Velocity,2,10.866,0.0097,21.52,2011
598
+ Radial Velocity,2,191.99,0.101,38.64,2011
599
+ Radial Velocity,2,2277.0,0.246,38.64,2011
600
+ Radial Velocity,2,3.93,0.017,43.53,2009
601
+ Radial Velocity,2,567.0,0.33,43.53,2009
602
+ Radial Velocity,1,1311.0,1.26,33.29,2002
603
+ Radial Velocity,1,1294.0,2.1,26.52,2002
604
+ Radial Velocity,1,118.45,0.65,37.89,2003
605
+ Radial Velocity,2,7.126816,1.39,19.72,1998
606
+ Radial Velocity,2,4270.0,2.6,19.72,2005
607
+ Radial Velocity,1,1319.0,13.0,54.92,2010
608
+ Radial Velocity,1,225.7,0.21,29.94,2010
609
+ Radial Velocity,1,5501.0,10.39,29.2,2012
610
+ Radial Velocity,1,2093.3,,,2012
611
+ Radial Velocity,1,3.8335,0.06,81.1,2007
612
+ Radial Velocity,1,672.1,11.1,289.02,2012
613
+ Radial Velocity,1,2209.0,1.06,45.23,2012
614
+ Radial Velocity,1,3724.7,1.45,48.43,2011
615
+ Radial Velocity,1,456.1,3.09,52.88,2007
616
+ Radial Velocity,1,3999.0,1.9,50.45,2011
617
+ Radial Velocity,1,572.38,7.75,41.95,1999
618
+ Radial Velocity,1,26.73,0.71,94.07,2006
619
+ Radial Velocity,1,141.6,1.08,108.46,2007
620
+ Radial Velocity,1,192.0,6.575,,2013
621
+ Radial Velocity,1,501.75,6.9,,2009
622
+ Radial Velocity,1,745.7,5.3,307.69,2011
623
+ Radial Velocity,1,2443.0,2.54,54.92,2009
624
+ Radial Velocity,1,8.7836,0.0265,9.42,2008
625
+ Radial Velocity,1,3.369,0.76,50.2,2004
626
+ Radial Velocity,2,345.72,1.42,44.8,2009
627
+ Radial Velocity,2,9017.8,,44.8,2011
628
+ Radial Velocity,1,57.0,0.47,23.8,2010
629
+ Radial Velocity,1,16.2,1.25,223.21,2010
630
+ Radial Velocity,3,6.673855,3.88,52.88,2005
631
+ Radial Velocity,3,147.73,1.28,52.88,2006
632
+ Radial Velocity,3,952.0,0.57,52.88,2009
633
+ Radial Velocity,1,41.397,0.298,11.03,2010
634
+ Radial Velocity,3,8.1352,0.036,25.87,2011
635
+ Radial Velocity,3,32.03,0.41,25.87,2011
636
+ Radial Velocity,3,431.7,0.527,25.87,2011
637
+ Imaging,1,,,11.43,2010
638
+ Radial Velocity,1,124.6,9.18,149.25,2013
639
+ Radial Velocity,1,17337.5,9.0,23.98,2009
640
+ Radial Velocity,1,511.098,8.82,31.33,2002
641
+ Imaging,1,,,131.93,2010
642
+ Radial Velocity,1,111.7,2.1,14.9,2009
643
+ Radial Velocity,1,5.0505,1.068,44.46,2013
644
+ Radial Velocity,1,311.288,1.94,17.24,1999
645
+ Imaging,4,170000.0,,39.94,2008
646
+ Imaging,4,69000.0,,39.94,2008
647
+ Imaging,4,37000.0,,39.94,2008
648
+ Imaging,4,18000.0,,39.94,2010
649
+ Transit,1,1.217514,,262.0,2012
650
+ Transit,1,4.1137912,,124.22,2012
651
+ Transit,1,2.7033904,1.47,178.0,2013
652
+ Transit,1,7.8457,,222.0,2014
653
+ Transit,1,2.47063,,213.0,2006
654
+ Transit,1,2.204737,,320.0,2008
655
+ Transit,1,4.8878162,,38.0,2008
656
+ Transit,1,3.21346,,550.0,2009
657
+ Transit,1,3.54846,,,2009
658
+ Transit,1,3.234723,,,2009
659
+ Transit,1,4.885525,,,2009
660
+ Transit,1,3.52254,,1330.0,2010
661
+ Transit,3,19.24,,650.0,2010
662
+ Transit,3,38.91,,650.0,2010
663
+ Transit,3,1.592851,,650.0,2010
664
+ Transit,2,0.837495,,173.0,2011
665
+ Transit,2,45.29485,,173.0,2011
666
+ Transit,6,10.3039,,613.0,2010
667
+ Transit,6,13.0241,,613.0,2010
668
+ Transit,6,22.6845,,613.0,2010
669
+ Transit,6,31.9996,,613.0,2010
670
+ Transit,6,46.6888,,613.0,2010
671
+ Transit,6,118.3807,,613.0,2010
672
+ Transit,1,4.4379637,,600.0,2011
673
+ Transit,1,1.7635892,,,2011
674
+ Transit,1,6.790123,,980.0,2011
675
+ Transit,1,4.942782,,,2011
676
+ Transit,1,228.776,,61.0,2011
677
+ Transit,1,1.4857108,,800.0,2011
678
+ Transit,3,3.504725,,,2011
679
+ Transit,3,7.64159,,,2011
680
+ Transit,3,14.85888,,,2011
681
+ Transit,2,9.2869944,,2119.0,2011
682
+ Transit Timing Variations,2,160.0,,2119.0,2011
683
+ Transit,5,3.6961219,,290.0,2011
684
+ Transit,5,10.854092,,290.0,2011
685
+ Transit,5,77.61184,,290.0,2011
686
+ Transit,5,6.098493,,290.0,2011
687
+ Transit,5,19.57706,,290.0,2011
688
+ Transit,1,2.785755,,108.0,2011
689
+ Transit,1,289.8623,,190.0,2011
690
+ Transit,2,7.1073,,800.0,2011
691
+ Transit,2,10.7421,,800.0,2011
692
+ Transit,2,8.1453,,1200.0,2011
693
+ Transit,2,12.3335,,1200.0,2011
694
+ Transit,3,6.2385,,,2011
695
+ Transit,3,12.7204,,,2011
696
+ Radial Velocity,3,123.0,,,2014
697
+ Transit,2,12.2829,,,2011
698
+ Transit,2,17.2513,,,2011
699
+ Transit,2,15.3348,,,2011
700
+ Transit,2,31.3309,,,2011
701
+ Transit,2,5.9123,,,2011
702
+ Transit,2,8.9858,,,2011
703
+ Transit,2,10.3376,,1400.0,2011
704
+ Transit,2,13.2907,,1400.0,2011
705
+ Transit,3,29.33434,,1400.0,2012
706
+ Transit,3,60.323105,,1400.0,2012
707
+ Transit,3,143.34394,,1400.0,2012
708
+ Transit,2,20.8613,,2100.0,2011
709
+ Transit,2,42.6318,,2100.0,2011
710
+ Transit,5,5.90124,,303.0,2011
711
+ Transit,5,8.7522,,303.0,2011
712
+ Transit,5,22.7802,,303.0,2012
713
+ Transit,5,2.896,,303.0,2012
714
+ Transit,5,0.74296,,303.0,2012
715
+ Transit,5,5.66793,,,2011
716
+ Transit,5,13.17562,,,2011
717
+ Transit,5,21.77596,,,2011
718
+ Transit,5,31.7844,,,2011
719
+ Transit,5,41.02902,,,2011
720
+ Transit,1,288.822,,1499.0,2011
721
+ Transit,1,131.458,,1645.0,2011
722
+ Transit,2,13.83989,,470.0,2012
723
+ Transit,2,16.23855,,470.0,2012
724
+ Transit,3,13.367308,,66.0,2013
725
+ Transit,3,21.301886,,66.0,2013
726
+ Transit,3,39.792187,,66.0,2013
727
+ Transit,1,105.599,,600.0,2012
728
+ Transit,1,21.0874,,1200.0,2011
729
+ Transit,1,6.87349,,2700.0,2010
730
+ Transit,1,1.855558,,770.0,2011
731
+ Transit,3,1.2137672,,38.7,2011
732
+ Transit,3,0.45328509,,38.7,2011
733
+ Transit,3,1.865169,,38.7,2011
734
+ Transit,1,3.024095,,1950.0,2011
735
+ Transit,1,3.24674,,2250.0,2011
736
+ Transit,1,2.455239,,333.0,2011
737
+ Transit,2,33.60134,,855.0,2012
738
+ Transit Timing Variations,2,57.011,,855.0,2012
739
+ Transit,2,49.532,,1500.0,2012
740
+ Transit,2,303.137,,1500.0,2012
741
+ Transit,4,4.7779803,,,2012
742
+ Transit,4,9.6739283,,,2012
743
+ Transit,4,42.8961,,,2014
744
+ Radial Velocity,4,982.0,,,2014
745
+ Transit,2,7.2037945,,,2012
746
+ Transit,2,10.9129343,,,2012
747
+ Transit,2,7.81254,,,2012
748
+ Transit,2,9.37647,,,2012
749
+ Transit,3,45.154,,,2012
750
+ Transit,3,85.312,,,2012
751
+ Transit Timing Variations,3,,,,2014
752
+ Transit,2,7.8773565,,,2012
753
+ Transit,2,16.3850021,,,2012
754
+ Transit,2,18.6489525,,,2012
755
+ Transit,2,38.5583038,,,2012
756
+ Transit,2,8.0109434,,,2012
757
+ Transit,2,12.0717249,,,2012
758
+ Transit,2,27.9481449,,,2012
759
+ Transit,2,42.1516418,,,2012
760
+ Transit,2,10.5016,,,2012
761
+ Transit,2,21.40239,,,2012
762
+ Transit,2,5.7293196,,,2012
763
+ Transit,2,11.6092567,,,2012
764
+ Transit,2,10.2184954,,,2012
765
+ Transit,2,15.5741568,,,2012
766
+ Transit,2,11.8681707,,,2012
767
+ Transit,2,17.9801235,,,2012
768
+ Transit,3,7.1316185,,,2012
769
+ Transit,3,8.9193459,,,2012
770
+ Transit,3,11.9016171,,,2012
771
+ Transit,1,59.87756,,,2013
772
+ Transit,5,5.714932,,368.0,2013
773
+ Transit,5,12.4417,,368.0,2013
774
+ Transit,5,18.16406,,368.0,2013
775
+ Transit,5,122.3874,,368.0,2013
776
+ Transit,5,267.291,,368.0,2013
777
+ Transit,1,9.4341505,,200.0,2013
778
+ Transit,1,138.317,,1000.0,2012
779
+ Transit,3,2.15491,,,2012
780
+ Transit,3,5.859944,,,2012
781
+ Transit,3,8.13123,,,2012
782
+ Transit,1,17.815815,,1107.0,2013
783
+ Transit,1,15.7259,,1107.0,2013
784
+ Transit,3,5.398763,,135.0,2012
785
+ Transit,3,9.605085,,135.0,2012
786
+ Radial Velocity,3,580.0,0.947,135.0,2012
787
+ Transit,2,13.722341,,,2013
788
+ Transit,2,242.4613,,,2013
789
+ Orbital Brightness Modulation,2,0.240104,,1180.0,2011
790
+ Orbital Brightness Modulation,2,0.342887,,1180.0,2011
791
+ Transit,1,3.90512,,800.0,2010
792
+ Transit,1,7.340718,,1330.0,2013
793
+ Transit,1,8.884924,,1140.0,2013
794
+ Orbital Brightness Modulation,1,1.54492875,,,2013
795
+ Transit,1,3.57878087,,570.0,2013
796
+ Transit,1,0.355,,,2013
797
+ Transit,2,13.485,,,2012
798
+ Transit,2,27.402,,,2012
799
+ Transit,2,7.053,,,2012
800
+ Transit,2,9.522,,,2012
801
+ Transit,2,5.955,,,2012
802
+ Transit,2,12.04,,,2012
803
+ Transit,2,26.444,,,2012
804
+ Transit,2,51.538,,,2012
805
+ Transit,2,9.77,,,2012
806
+ Transit,2,20.09,,,2012
807
+ Transit,2,8.726,,,2012
808
+ Transit,2,12.883,,,2012
809
+ Transit,2,8.306,,,2012
810
+ Transit,2,12.513,,,2012
811
+ Transit,1,282.5255,,,2013
812
+ Transit,2,114.73635,,,2013
813
+ Transit,2,191.2318,,,2013
814
+ Transit,2,10.95416,,339.0,2013
815
+ Transit Timing Variations,2,22.3395,,339.0,2013
816
+ Transit,4,3.743208,,,2013
817
+ Transit,4,10.423648,,,2013
818
+ Transit,4,22.342989,,,2013
819
+ Transit,4,54.32031,,,2013
820
+ Transit,7,7.008151,,780.0,2013
821
+ Transit,7,8.719375,,780.0,2013
822
+ Transit,7,59.73667,,780.0,2013
823
+ Transit,7,91.93913,,780.0,2013
824
+ Transit,7,124.9144,,780.0,2013
825
+ Transit,7,210.60697,,780.0,2013
826
+ Transit,7,331.60059,,780.0,2013
827
+ Transit,1,6.24658,,1030.0,2013
828
+ Transit,2,13.749,,,2013
829
+ Transit,2,26.723,,,2013
830
+ Transit,2,4.72674,,,2014
831
+ Radial Velocity,2,1460.0,,,2014
832
+ Transit,2,2.50806,,,2014
833
+ Radial Velocity,2,820.3,,,2014
834
+ Transit,1,11.5231,,,2014
835
+ Transit,1,16.2385,,,2014
836
+ Transit,2,2.58664,,,2014
837
+ Radial Velocity,2,789.0,,,2014
838
+ Transit,1,1.54168,,,2014
839
+ Transit,1,4.60358,,,2014
840
+ Transit,3,6.88705,,,2014
841
+ Transit,3,12.8159,,,2014
842
+ Transit,3,35.3331,,,2014
843
+ Transit,5,5.28696,,,2014
844
+ Transit,5,7.07142,,,2014
845
+ Transit,5,10.3117,,,2014
846
+ Transit,5,16.1457,,,2013
847
+ Transit,5,27.4536,,,2014
848
+ Transit,2,15.9654,,,2014
849
+ Transit,2,179.612,,,2014
850
+ Transit,2,5.4122,,,2013
851
+ Transit,4,6.16486,,,2014
852
+ Transit,4,13.5708,,,2014
853
+ Transit,4,23.9802,,,2014
854
+ Transit,4,43.8445,,,2014
855
+ Transit,2,6.48163,,,2014
856
+ Transit,2,21.2227,,,2014
857
+ Transit,2,4.754,,,2014
858
+ Transit,2,8.92507,,,2014
859
+ Transit,2,8.041,,,2013
860
+ Transit,2,11.776,,,2013
861
+ Transit,2,15.09,,,2013
862
+ Transit,2,22.804,,,2013
863
+ Transit,3,27.50868,,,2013
864
+ Transit,2,16.092,,,2014
865
+ Transit,2,25.5169,,,2014
866
+ Transit,2,13.78164,,,2014
867
+ Transit,2,23.08933,,,2014
868
+ Transit,2,22.951,,,2013
869
+ Transit,2,42.882,,,2013
870
+ Transit,2,36.855,,,2013
871
+ Transit,2,49.412,,,2013
872
+ Transit,2,23.654,,,2013
873
+ Transit,2,50.447,,,2013
874
+ Transit,2,31.884,,,2013
875
+ Transit,2,48.648,,,2013
876
+ Transit,2,17.324,,,2013
877
+ Transit,2,33.006,,,2013
878
+ Transit,2,35.736,,,2013
879
+ Transit,2,54.414,,,2013
880
+ Transit,2,24.806,,,2013
881
+ Transit,2,44.347,,,2013
882
+ Transit,2,5.487,,,2013
883
+ Transit,2,8.291,,,2013
884
+ Transit,2,10.416,,,2013
885
+ Transit,2,13.084,,,2013
886
+ Transit,2,34.921,,,2013
887
+ Transit,2,71.312,,,2013
888
+ Transit,2,17.849,,,2013
889
+ Transit,2,26.136,,,2013
890
+ Transit,2,42.994,,,2013
891
+ Transit,2,88.505,,,2013
892
+ Transit,2,2.42629,,,2014
893
+ Transit,2,4.62332,,,2014
894
+ Transit,2,0.66931,,,2014
895
+ Radial Velocity,2,3000.0,,,2014
896
+ Transit,1,2.46502,,,2014
897
+ Transit,1,68.9584,,,2014
898
+ Transit,1,17.833648,,132.0,2013
899
+ Transit,1,3.00516,,,2013
900
+ Transit,1,1.72086123,,1056.0,2014
901
+ Transit,1,66.262,,,2014
902
+ Imaging,1,40000.0,,,2011
903
+ Transit,1,3.91405,,2000.0,2007
904
+ Microlensing,1,,,,2008
905
+ Microlensing,1,,,,2008
906
+ Microlensing,1,,,,2009
907
+ Microlensing,1,,,3600.0,2013
908
+ Microlensing,1,2780.0,,,2011
909
+ Microlensing,1,,,,2010
910
+ Microlensing,1,1970.0,,,2010
911
+ Microlensing,1,,,2300.0,2012
912
+ Microlensing,1,,,2800.0,2012
913
+ Microlensing,1,,,7720.0,2012
914
+ Microlensing,1,,,7560.0,2013
915
+ Radial Velocity,1,677.8,19.8,,2007
916
+ Radial Velocity,1,6.958,0.34,,2014
917
+ Radial Velocity,1,5.118,0.4,,2014
918
+ Radial Velocity,1,121.71,1.54,,2014
919
+ Microlensing,1,,,,2004
920
+ Microlensing,1,3600.0,,,2005
921
+ Microlensing,1,3300.0,,,2006
922
+ Microlensing,1,3500.0,,,2005
923
+ Microlensing,2,1825.0,,,2008
924
+ Microlensing,2,5100.0,,,2008
925
+ Microlensing,1,,,,2009
926
+ Microlensing,1,,,2570.0,2012
927
+ Microlensing,2,,,4080.0,2012
928
+ Microlensing,2,,,4080.0,2012
929
+ Microlensing,1,,,1760.0,2013
930
+ Microlensing,1,,,4970.0,2013
931
+ Transit,1,2.4855335,,,2008
932
+ Transit,1,3.101278,,,2004
933
+ Transit,1,1.2119189,,,2002
934
+ Transit,1,4.0161,,,2004
935
+ Transit,1,1.4324752,,600.0,2004
936
+ Transit,1,1.689868,,2500.0,2004
937
+ Transit,1,3.9791,,,2007
938
+ Transit,1,3.67724,,,2007
939
+ Imaging,1,730000.0,,,2006
940
+ Transit,1,3.1606296,,1200.0,2013
941
+ Radial Velocity,1,4.4264,,,2012
942
+ Radial Velocity,1,2.1451,,,2012
943
+ Pulsar Timing,3,25.262,,,1992
944
+ Pulsar Timing,3,66.5419,,,1992
945
+ Pulsar Timing,3,98.2114,,,1994
946
+ Pulsar Timing,1,36525.0,,,2003
947
+ Pulsar Timing,1,0.09070629,,1200.0,2011
948
+ Transit,1,1.420033,,,2010
949
+ Transit,1,1.3371182,,,2011
950
+ Imaging,1,,,135.0,2013
951
+ Imaging,1,,,120.0,2013
952
+ Imaging,1,,,,2010
953
+ Transit,1,4.2,,8500.0,2006
954
+ Transit,1,1.796,,8500.0,2006
955
+ Transit,1,3.030065,,152.3,2004
956
+ Transit,1,1.30618581,,228.0,2007
957
+ Transit,1,3.553945,,492.0,2007
958
+ Transit,1,1.4822446,,360.0,2011
959
+ Imaging,1,,,,2008
960
+ Pulsation Timing Variations,1,1170.0,,,2007
961
+ Transit,1,2.5199449,,408.0,2007
962
+ Transit,1,2.152226,,147.0,2007
963
+ Transit,1,1.846835,,220.0,2007
964
+ Transit,1,1.33823187,,300.0,2007
965
+ Transit,1,1.62843142,,300.0,2008
966
+ Transit,1,3.361006,,,2009
967
+ Transit,1,4.954658,,140.0,2008
968
+ Transit,1,8.158715,,87.0,2010
969
+ Transit,1,3.0927616,,90.0,2008
970
+ Transit,1,3.7224747,,121.7,2008
971
+ Transit,1,1.091423,,,2008
972
+ Transit,1,4.353011,,155.0,2009
973
+ Transit,1,2.243752,,160.0,2008
974
+ Transit,1,3.7520656,,,2009
975
+ Transit,1,3.1186009,,,2009
976
+ Transit,1,3.7354417,,400.0,2009
977
+ Transit,1,0.94145299,,105.49,2009
978
+ Transit,1,0.78884,,250.0,2009
979
+ Transit,1,4.322482,,242.0,2010
980
+ Transit,1,3.5327313,,300.0,2010
981
+ Transit,1,2.9444256,,,2010
982
+ Transit,1,2.34121242,,,2010
983
+ Transit,1,3.764825,,,2010
984
+ Transit,1,2.7566004,,250.0,2010
985
+ Transit,1,3.408821,,,2010
986
+ Transit,1,3.922727,,70.0,2010
987
+ Transit,1,3.4059096,,360.0,2010
988
+ Transit,1,2.718659,,,2010
989
+ Transit,1,1.2198669,,116.14,2010
990
+ Transit,1,4.3176782,,120.0,2010
991
+ Transit,1,3.161575,,,2011
992
+ Transit,1,1.5373653,,450.0,2011
993
+ Transit,1,3.577469,,343.0,2010
994
+ Transit,1,6.871815,,110.0,2010
995
+ Transit,1,4.055259,,230.0,2011
996
+ Transit,1,3.052401,,180.0,2010
997
+ Transit,1,4.9816872,,160.0,2012
998
+ Transit,1,0.813475,,80.0,2011
999
+ Transit,1,2.4238039,,,2011
1000
+ Transit,1,3.1260876,,,2011
1001
+ Transit,1,1.43037,,,2011
1002
+ Transit,1,4.1591399,,200.0,2012
1003
+ Transit,1,2.143634,,,2011
1004
+ Transit,1,2.7817387,,170.0,2012
1005
+ Transit,1,1.9550959,,230.0,2011
1006
+ Transit,1,1.7497798,,140.0,2012
1007
+ Transit,1,3.6936411,,200.0,2012
1008
+ Transit,1,4.465633,,330.0,2012
1009
+ Transit,1,4.617101,,255.0,2012
1010
+ Transit,1,2.838971,,455.0,2012
1011
+ Transit,1,5.01718,,300.0,2012
1012
+ Transit,1,7.919585,,125.0,2012
1013
+ Transit,1,4.3050011,,400.0,2012
1014
+ Transit,1,3.8559,,480.0,2012
1015
+ Transit,1,4.411953,,160.0,2012
1016
+ Transit,1,4.37809,,330.0,2012
1017
+ Transit,1,1.5732918,,350.0,2012
1018
+ Transit,1,2.3114243,,310.0,2013
1019
+ Transit,1,4.086052,,380.0,2012
1020
+ Transit,1,4.61442,,225.0,2012
1021
+ Transit,1,2.9036747,,345.0,2012
1022
+ Transit,1,2.2167421,,340.0,2012
1023
+ Transit,1,2.484193,,260.0,2013
1024
+ Transit,1,1.3600309,,93.0,2012
1025
+ Transit,1,2.17517632,,550.0,2012
1026
+ Transit,1,3.6623866,,240.0,2012
1027
+ Transit,1,3.0678504,,60.0,2012
1028
+ Transit,1,0.925542,,470.0,2014
1029
+ Imaging,1,,,19.2,2011
1030
+ Transit,1,3.352057,,3200.0,2012
1031
+ Imaging,1,,,10.1,2012
1032
+ Transit,1,3.94150685,,172.0,2006
1033
+ Transit,1,2.615864,,148.0,2007
1034
+ Transit,1,3.1915239,,174.0,2007
1035
+ Transit,1,4.1250828,,293.0,2008
1036
+ Transit,1,4.187757,,260.0,2008
data/seaborn/png/img1.png ADDED
data/seaborn/png/img2.png ADDED
data/seaborn/png/img3.png ADDED
data/seaborn/png/img4.png ADDED
data/seaborn/png/img5.png ADDED
data/seaborn/png/img6.png ADDED
data/seaborn/process/attention.py ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import pandas as pd
2
+
3
+ def main():
4
+
5
+ df = pd.read_csv("raw/attention.csv")
6
+ df = pd.melt(df, ["subidr", "attnr"], var_name="solutions", value_name="score")
7
+ df.solutions = df.solutions.str[-1].astype(int)
8
+ df.columns = ["subject", "attention", "solutions", "score"]
9
+ df.to_csv("attention.csv")
10
+
11
+
12
+ if __name__ == "__main__":
13
+ main()
data/seaborn/process/dowjones.py ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ import pandas as pd
2
+
3
+ if __name__ == "__main__":
4
+
5
+ (
6
+ pd.read_csv("raw/dowjones.csv")
7
+ .set_axis(["Date", "Price"], axis=1)
8
+ .to_csv("dowjones.csv", index=False)
9
+ )
data/seaborn/process/exercise.py ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import pandas as pd
2
+
3
+
4
+ def main():
5
+
6
+ df = pd.read_csv("raw/exercise.csv")
7
+ df["diet"] = df.diet.map({1: "low fat", 2: "no fat"})
8
+ df["kind"] = df.exertype.map({1: "rest", 2: "walking", 3: "running"})
9
+ df["time"] = df.time.map({1: "1 min", 2: "15 min", 3: "30 min"})
10
+ df = df.drop(["exertype"], axis=1)
11
+ df.to_csv("exercise.csv")
12
+
13
+ if __name__ == "__main__":
14
+ main()
data/seaborn/process/flights.py ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import numpy as np
2
+ import pandas as pd
3
+
4
+ def main():
5
+
6
+ flights = pd.read_csv("/Users/mwaskom/Desktop/AirPassengers.csv")
7
+ flights["year"] = np.floor(flights.time).astype(int)
8
+ flights["month"] = np.round((flights.time - flights.year) * 12).astype(int)
9
+
10
+ month_number_to_name = {0: "January",
11
+ 1: "February",
12
+ 2: "March",
13
+ 3: "April",
14
+ 4: "May",
15
+ 5: "June",
16
+ 6: "July",
17
+ 7: "August",
18
+ 8: "September",
19
+ 9: "October",
20
+ 10: "November",
21
+ 11: "December"}
22
+
23
+ flights["month"] = flights.month.map(month_number_to_name)
24
+ flights["passengers"] = flights["AirPassengers"]
25
+ flights = flights.drop(["AirPassengers", "time", "Unnamed: 0"], axis=1)
26
+ flights.to_csv("flights.csv", index=False)
27
+
28
+
29
+ if __name__ == "__main__":
30
+ main()
data/seaborn/process/gammas.py ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import numpy as np
2
+ import pandas as pd
3
+ from scipy import stats
4
+
5
+
6
+ def main():
7
+
8
+ rs = np.random.RandomState(24)
9
+ n = 20
10
+ t = 10
11
+
12
+ x = np.linspace(0, t, 100)
13
+ s = np.array([stats.gamma.pdf(x, a) for a in [3, 5, 7]])
14
+ d = s[:, np.newaxis, :]
15
+
16
+ d = d * np.array([1, -1])[rs.binomial(1, .3, 3)][:, np.newaxis, np.newaxis]
17
+ d = d + rs.normal(0, .15, (3, n))[:, :, np.newaxis]
18
+ d = d + rs.uniform(0, .25, 3)[:, np.newaxis, np.newaxis]
19
+ d *= 10
20
+ d = d.transpose((1, 2, 0))
21
+
22
+ p = pd.Panel(d,
23
+ items=pd.Series(np.arange(n), name="subject"),
24
+ major_axis=pd.Series(x, name="timepoint"),
25
+ minor_axis=pd.Series(["IPS", "AG", "V1"], name="ROI"),
26
+ )
27
+
28
+ df = p.to_frame().stack().reset_index(name="BOLD signal")
29
+ df.to_csv("gammas.csv", index=False)
30
+
31
+
32
+ if __name__ == "__main__":
33
+ main()
data/seaborn/process/geyser.py ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import numpy as np
2
+ import pandas as pd
3
+ from scipy.cluster.vq import kmeans2
4
+
5
+ if __name__ == "__main__":
6
+
7
+ np.random.seed(0)
8
+
9
+ df = pd.read_csv("raw/geyser.csv")
10
+ df.columns = ["duration", "waiting"]
11
+
12
+ _, z = kmeans2(df, 2)
13
+ df["kind"] = np.where(z, "long", "short")
14
+
15
+ df.to_csv("geyser.csv", index=False)
data/seaborn/process/glue.py ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ import pandas as pd
2
+
3
+ if __name__ == "__main__":
4
+
5
+ (
6
+ pd.read_csv("raw/glue.csv")
7
+ .drop(["AX", "MNLI-mm", "WNLI"], axis=1)
8
+ .melt(["Model", "Year", "Encoder"], var_name="Task", value_name="Score")
9
+ .to_csv("glue.csv", index=False)
10
+ )
data/seaborn/process/healthexp.py ADDED
@@ -0,0 +1,29 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import pandas as pd
2
+
3
+
4
+ if __name__ == "__main__":
5
+
6
+ G7_countries = {
7
+ "USA": "USA",
8
+ "CAN": "Canada",
9
+ "FRA": "France",
10
+ "DEU": "Germany",
11
+ "ITL": "Italy",
12
+ "GBR": "Great Britain",
13
+ "JPN": "Japan",
14
+ # "CHE": "Switzerland",
15
+ # "DNK": "Denmark",
16
+ # "KOR": "Korea",
17
+ # "BRA": "Brazil",
18
+ # "COL": "Colombia",
19
+ # "CHN": "China",
20
+ # "IND": "India",
21
+ }
22
+
23
+ (
24
+ pd.read_csv("raw/healthexp.csv")
25
+ .assign(Country=lambda x: x["Country"].map(G7_countries))
26
+ .dropna(subset=["Country"])
27
+ .query("Year <= 2020")
28
+ .to_csv("healthexp.csv", index=False)
29
+ )