Hugging Face's logo

Datasets:
aai510-group1
/
telco-customer-churn

Tasks:
Tabular Classification
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Size:
1K - 10K
Tags:
tabular-classification
churn-prediction
telecom
customer-retention
demographics
customer-service
Libraries:
Datasets
pandas
Dataset card Viewer Files Community
1
jonathanagustin commited on
Commit
e1f73e6
•
1 Parent(s): eb52373

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +40 -42
README.md CHANGED
@@ -3,41 +3,39 @@ dataset_info:
3
  - config_name: default
4
  features:
5
  - name: Age
6
- dtype: int64
7
- - name: Avg Monthly GB Download
8
- dtype: float64
9
  - name: Avg Monthly Long Distance Charges
10
  dtype: float64
11
- - name: Churn Category
12
- dtype: string
13
- - name: Churn Label
14
  dtype: string
15
  - name: Churn Reason
16
- dtype: string
17
  - name: Churn Score
18
  dtype: int64
19
- - name: Churn Value
20
- dtype: int64
21
  - name: City
22
- dtype: string
23
  - name: CLTV
24
- dtype: float64
25
  - name: Contract
26
- dtype: string
27
  - name: Country
28
- dtype: string
29
  - name: Customer ID
30
  dtype: string
31
  - name: Customer Status
32
- dtype: string
33
- - name: Dependents
34
  dtype: string
 
 
35
  - name: Device Protection Plan
36
- dtype: string
37
  - name: Gender
38
- dtype: string
39
- - name: Internet Service
40
  dtype: string
 
 
41
  - name: Internet Type
42
  dtype: string
43
  - name: Lat Long
@@ -47,55 +45,55 @@ dataset_info:
47
  - name: Longitude
48
  dtype: float64
49
  - name: Married
50
- dtype: string
51
  - name: Monthly Charge
52
  dtype: float64
53
- - name: Multiple Lines
54
- dtype: string
55
  - name: Number of Dependents
56
  dtype: int64
57
  - name: Number of Referrals
58
  dtype: int64
59
  - name: Offer
60
- dtype: string
61
- - name: Online Backup
62
  dtype: string
 
 
63
  - name: Online Security
64
- dtype: string
65
  - name: Paperless Billing
66
- dtype: string
67
  - name: Partner
68
- dtype: string
69
  - name: Payment Method
70
- dtype: string
71
- - name: Phone Service
72
  dtype: string
 
 
73
  - name: Population
74
  dtype: int64
75
  - name: Premium Tech Support
76
- dtype: string
77
  - name: Quarter
78
- dtype: string
79
- - name: Referred a Friend
80
  dtype: string
 
 
81
  - name: Satisfaction Score
82
- dtype: int64
83
- - name: Senior Citizen
84
- dtype: string
85
- - name: State
86
- dtype: string
87
- - name: Streaming Movies
88
  dtype: string
 
 
89
  - name: Streaming Music
90
- dtype: string
91
  - name: Streaming TV
92
- dtype: string
93
  - name: Tenure in Months
94
  dtype: int64
95
  - name: Total Charges
96
  dtype: float64
97
  - name: Total Extra Data Charges
98
- dtype: float64
99
  - name: Total Long Distance Charges
100
  dtype: float64
101
  - name: Total Refunds
@@ -103,9 +101,9 @@ dataset_info:
103
  - name: Total Revenue
104
  dtype: float64
105
  - name: Under 30
106
- dtype: string
107
  - name: Unlimited Data
108
- dtype: string
109
  - name: Zip Code
110
  dtype: string
111
  ---
 
3
  - config_name: default
4
  features:
5
  - name: Age
6
+ dtype: int64
7
+ - name: Avg Monthly GB Download
8
+ dtype: int64
9
  - name: Avg Monthly Long Distance Charges
10
  dtype: float64
11
+ - name: Churn
12
+ dtype: int64
13
+ - name: Churn Category
14
  dtype: string
15
  - name: Churn Reason
16
+ dtype: string
17
  - name: Churn Score
18
  dtype: int64
 
 
19
  - name: City
20
+ dtype: string
21
  - name: CLTV
22
+ dtype: int64
23
  - name: Contract
24
+ dtype: string
25
  - name: Country
26
+ dtype: string
27
  - name: Customer ID
28
  dtype: string
29
  - name: Customer Status
 
 
30
  dtype: string
31
+ - name: Dependents
32
+ dtype: int64
33
  - name: Device Protection Plan
34
+ dtype: int64
35
  - name: Gender
 
 
36
  dtype: string
37
+ - name: Internet Service
38
+ dtype: int64
39
  - name: Internet Type
40
  dtype: string
41
  - name: Lat Long
 
45
  - name: Longitude
46
  dtype: float64
47
  - name: Married
48
+ dtype: int64
49
  - name: Monthly Charge
50
  dtype: float64
51
+ - name: Multiple Lines
52
+ dtype: int64
53
  - name: Number of Dependents
54
  dtype: int64
55
  - name: Number of Referrals
56
  dtype: int64
57
  - name: Offer
 
 
58
  dtype: string
59
+ - name: Online Backup
60
+ dtype: int64
61
  - name: Online Security
62
+ dtype: int64
63
  - name: Paperless Billing
64
+ dtype: int64
65
  - name: Partner
66
+ dtype: int64
67
  - name: Payment Method
 
 
68
  dtype: string
69
+ - name: Phone Service
70
+ dtype: int64
71
  - name: Population
72
  dtype: int64
73
  - name: Premium Tech Support
74
+ dtype: int64
75
  - name: Quarter
 
 
76
  dtype: string
77
+ - name: Referred a Friend
78
+ dtype: int64
79
  - name: Satisfaction Score
80
+ dtype: int64
81
+ - name: Senior Citizen
82
+ dtype: int64
83
+ - name: State
 
 
84
  dtype: string
85
+ - name: Streaming Movies
86
+ dtype: int64
87
  - name: Streaming Music
88
+ dtype: int64
89
  - name: Streaming TV
90
+ dtype: int64
91
  - name: Tenure in Months
92
  dtype: int64
93
  - name: Total Charges
94
  dtype: float64
95
  - name: Total Extra Data Charges
96
+ dtype: int64
97
  - name: Total Long Distance Charges
98
  dtype: float64
99
  - name: Total Refunds
 
101
  - name: Total Revenue
102
  dtype: float64
103
  - name: Under 30
104
+ dtype: int64
105
  - name: Unlimited Data
106
+ dtype: int64
107
  - name: Zip Code
108
  dtype: string
109
  ---