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msmarco_v2.1_doc_01_1668113101#2_2445955538 | http://intellspot.com/anomaly-detection-algorithms/ | Anomaly Detection Algorithms: in Data Mining (With Comparison) | 5 Anomaly Detection Algorithms in Data Mining (With Comparison)
5 Anomaly Detection Algorithms in Data Mining (With Comparison)
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| List of other outlier detection techniques. Comparison chart – infographic in PDF
What Is Anomaly Detection? Anomaly detection is a method used to detect something that doesn’t fit the normal behavior of a dataset. In other words, anomaly detection finds data points in a dataset that deviates from the rest of the data. Those unusual things are called outliers, peculiarities, exceptions, surprise and etc. For example: Let’s say you possess a saving bank account and you mostly withdraw 5000 $. However, one day 20000 $ is withdrawn from your saving account. This is a very unusual activity as mostly 5000 $ is deducted from your account. The transaction is abnormal for the bank. | 742 | 1,425 |
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| For example: Let’s say you possess a saving bank account and you mostly withdraw 5000 $. However, one day 20000 $ is withdrawn from your saving account. This is a very unusual activity as mostly 5000 $ is deducted from your account. The transaction is abnormal for the bank. It is an outlier. Different Types of Anomalies: Point anomalies – if a data point is too far from the rest, it falls into the category of point anomalies. The above example of bank transaction illustrates point anomalies. Contextual anomalies – If the event is anomalous for specific circumstances (context), then we have contextual anomalies. | 1,150 | 1,769 |
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| It is an outlier. Different Types of Anomalies: Point anomalies – if a data point is too far from the rest, it falls into the category of point anomalies. The above example of bank transaction illustrates point anomalies. Contextual anomalies – If the event is anomalous for specific circumstances (context), then we have contextual anomalies. As data becomes more and more complex, it is vital to use anomaly detection methods for the context. This anomaly type is common in time-series data. Example – spending $10 on ice-cream every day during the hot months is normal, but is odd for the rest months. Collective anomalies. The collective anomaly denotes a collection of anomalous with respect to the whole dataset, but not individual objects. | 1,426 | 2,172 |
msmarco_v2.1_doc_01_1668113101#5_2445958949 | http://intellspot.com/anomaly-detection-algorithms/ | Anomaly Detection Algorithms: in Data Mining (With Comparison) | 5 Anomaly Detection Algorithms in Data Mining (With Comparison)
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| As data becomes more and more complex, it is vital to use anomaly detection methods for the context. This anomaly type is common in time-series data. Example – spending $10 on ice-cream every day during the hot months is normal, but is odd for the rest months. Collective anomalies. The collective anomaly denotes a collection of anomalous with respect to the whole dataset, but not individual objects. Example: breaking rhythm in ECG (Electrocardiogram). Anomaly Detection Algorithms
Outliers and irregularities in data can usually be detected by different data mining algorithms. For example, algorithms for clustering, classification or association rule learning. Generally, algorithms fall into two key categories – supervised and unsupervised learning. | 1,770 | 2,527 |
msmarco_v2.1_doc_01_1668113101#6_2445960157 | http://intellspot.com/anomaly-detection-algorithms/ | Anomaly Detection Algorithms: in Data Mining (With Comparison) | 5 Anomaly Detection Algorithms in Data Mining (With Comparison)
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| Example: breaking rhythm in ECG (Electrocardiogram). Anomaly Detection Algorithms
Outliers and irregularities in data can usually be detected by different data mining algorithms. For example, algorithms for clustering, classification or association rule learning. Generally, algorithms fall into two key categories – supervised and unsupervised learning. Supervised learning is the more common type. It includes such algorithms as logistic and linear regression, support vector machines, multi-class classification, and etc. It is called supervised learning because the data scientist act as a teacher who teaches the algorithm what conclusions it should come up with. The data science supervises the learning process. Supervised methods (also called classification methods) require a training set that includes both normal and anomalous examples to construct a predictive model. | 2,173 | 3,052 |
msmarco_v2.1_doc_01_1668113101#7_2445961482 | http://intellspot.com/anomaly-detection-algorithms/ | Anomaly Detection Algorithms: in Data Mining (With Comparison) | 5 Anomaly Detection Algorithms in Data Mining (With Comparison)
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| Supervised learning is the more common type. It includes such algorithms as logistic and linear regression, support vector machines, multi-class classification, and etc. It is called supervised learning because the data scientist act as a teacher who teaches the algorithm what conclusions it should come up with. The data science supervises the learning process. Supervised methods (also called classification methods) require a training set that includes both normal and anomalous examples to construct a predictive model. On the other hand, unsupervised learning includes the idea that a computer can learn to discover complicated processes and outliers without a human to provide guidance. Let’s see the some of the most popular anomaly detection algorithms. 1. K-nearest neighbor: k-NN
k-NN is one of the simplest supervised learning algorithms and methods in machine learning. | 2,528 | 3,410 |
msmarco_v2.1_doc_01_1668113101#8_2445962810 | http://intellspot.com/anomaly-detection-algorithms/ | Anomaly Detection Algorithms: in Data Mining (With Comparison) | 5 Anomaly Detection Algorithms in Data Mining (With Comparison)
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| On the other hand, unsupervised learning includes the idea that a computer can learn to discover complicated processes and outliers without a human to provide guidance. Let’s see the some of the most popular anomaly detection algorithms. 1. K-nearest neighbor: k-NN
k-NN is one of the simplest supervised learning algorithms and methods in machine learning. It stores all of the available examples and then classifies the new ones based on similarities in distance metrics. k-NN is a famous classification algorithm and a lazy learner. What does a lazy learner mean? K-nearest neighbor mainly stores the training data. It doesn’t do anything else during the training process. | 3,052 | 3,728 |
msmarco_v2.1_doc_01_1668113101#9_2445963936 | http://intellspot.com/anomaly-detection-algorithms/ | Anomaly Detection Algorithms: in Data Mining (With Comparison) | 5 Anomaly Detection Algorithms in Data Mining (With Comparison)
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| It stores all of the available examples and then classifies the new ones based on similarities in distance metrics. k-NN is a famous classification algorithm and a lazy learner. What does a lazy learner mean? K-nearest neighbor mainly stores the training data. It doesn’t do anything else during the training process. That’ s why it is lazy. k-NN just stores the labeled training data. When new unlabeled data arrives, kNN works in 2 main steps: Looks at the k closest training data points (the k-nearest neighbors). Then, as it uses the k-nearest neighbors, k-NN decides how the new data should be classified. | 3,411 | 4,021 |
msmarco_v2.1_doc_01_1668113101#10_2445964996 | http://intellspot.com/anomaly-detection-algorithms/ | Anomaly Detection Algorithms: in Data Mining (With Comparison) | 5 Anomaly Detection Algorithms in Data Mining (With Comparison)
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| That’ s why it is lazy. k-NN just stores the labeled training data. When new unlabeled data arrives, kNN works in 2 main steps: Looks at the k closest training data points (the k-nearest neighbors). Then, as it uses the k-nearest neighbors, k-NN decides how the new data should be classified. How does k-NN know what’s closer? It uses density-based anomaly detection methods. For continuous data (see continuous vs discrete data ), the most common distance measure is the Euclidean distance. For discrete data, Hamming distance is a popular metric for the “closeness” of 2 text strings. The pick of distance metric depends on the data. | 3,729 | 4,364 |
msmarco_v2.1_doc_01_1668113101#11_2445966092 | http://intellspot.com/anomaly-detection-algorithms/ | Anomaly Detection Algorithms: in Data Mining (With Comparison) | 5 Anomaly Detection Algorithms in Data Mining (With Comparison)
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| How does k-NN know what’s closer? It uses density-based anomaly detection methods. For continuous data (see continuous vs discrete data ), the most common distance measure is the Euclidean distance. For discrete data, Hamming distance is a popular metric for the “closeness” of 2 text strings. The pick of distance metric depends on the data. The k-NN algorithm works very well for dynamic environments where frequent updates are needed. In addition, density-based distance measures are good solutions for identifying unusual conditions and gradual trends. This makes k-NN useful for outlier detection and defining suspicious events. k-NN also is very good techniques for creating models that involve non-standard data types like text. k-NN is one of the proven anomaly detection algorithms that increase the fraud detection rate. | 4,021 | 4,852 |
msmarco_v2.1_doc_01_1668113101#12_2445967378 | http://intellspot.com/anomaly-detection-algorithms/ | Anomaly Detection Algorithms: in Data Mining (With Comparison) | 5 Anomaly Detection Algorithms in Data Mining (With Comparison)
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| The k-NN algorithm works very well for dynamic environments where frequent updates are needed. In addition, density-based distance measures are good solutions for identifying unusual conditions and gradual trends. This makes k-NN useful for outlier detection and defining suspicious events. k-NN also is very good techniques for creating models that involve non-standard data types like text. k-NN is one of the proven anomaly detection algorithms that increase the fraud detection rate. It is also one of the most known text mining algorithms out there. It has many applications in business and finance field. For example, k-NN helps for detecting and preventing credit card fraudulent transactions. 2. Local Outlier Factor (LOF)
The LOF is a key anomaly detection algorithm based on a concept of a local density. | 4,364 | 5,179 |
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| It is also one of the most known text mining algorithms out there. It has many applications in business and finance field. For example, k-NN helps for detecting and preventing credit card fraudulent transactions. 2. Local Outlier Factor (LOF)
The LOF is a key anomaly detection algorithm based on a concept of a local density. It uses the distance between the k nearest neighbors to estimate the density. LOF compares the local density of an item to the local densities of its neighbors. Thus one can determine areas of similar density and items that have a significantly lower density than their neighbors. These are the outliers. To put it in other words, the density around an outlier item is seriously different from the density around its neighbors. | 4,853 | 5,607 |
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| It uses the distance between the k nearest neighbors to estimate the density. LOF compares the local density of an item to the local densities of its neighbors. Thus one can determine areas of similar density and items that have a significantly lower density than their neighbors. These are the outliers. To put it in other words, the density around an outlier item is seriously different from the density around its neighbors. That is why LOF is called a density-based outlier detection algorithm. In addition, as you see, LOF is the nearest neighbors technique as k-NN. LOF is computed on the base of the average ratio of the local reachability density of an item and its k-nearest neighbors. 3. K-means
K-means is a very popular clustering algorithm in the data mining area. | 5,180 | 5,957 |
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| That is why LOF is called a density-based outlier detection algorithm. In addition, as you see, LOF is the nearest neighbors technique as k-NN. LOF is computed on the base of the average ratio of the local reachability density of an item and its k-nearest neighbors. 3. K-means
K-means is a very popular clustering algorithm in the data mining area. It creates k groups from a set of items so that the elements of a group are more similar. Just to recall that cluster algorithms are designed to make groups where the members are more similar. In this term, clusters and groups are synonymous. In K-means technique, data items are clustered depending on feature similarity. One of the greatest benefits of k-means is that it is very easy to implement. | 5,607 | 6,358 |
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| It creates k groups from a set of items so that the elements of a group are more similar. Just to recall that cluster algorithms are designed to make groups where the members are more similar. In this term, clusters and groups are synonymous. In K-means technique, data items are clustered depending on feature similarity. One of the greatest benefits of k-means is that it is very easy to implement. K-means is successfully implemented in the most of the usual programming languages that data science uses. If you are going to use k-means for anomaly detection, you should take in account some things: The user has to define the number of clusters in the early beginning. k-means suppose that each cluster has pretty equal numbers of observations. k-means only work with numerical data. | 5,958 | 6,745 |
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| K-means is successfully implemented in the most of the usual programming languages that data science uses. If you are going to use k-means for anomaly detection, you should take in account some things: The user has to define the number of clusters in the early beginning. k-means suppose that each cluster has pretty equal numbers of observations. k-means only work with numerical data. Is k-means supervised or unsupervised? It depends, but most data science specialists classify it as unsupervised. The reason is that, besides specifying the number of clusters, k-means “learns” the clusters on its own. k-means can be semi-supervised. 4. | 6,359 | 6,999 |
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| Is k-means supervised or unsupervised? It depends, but most data science specialists classify it as unsupervised. The reason is that, besides specifying the number of clusters, k-means “learns” the clusters on its own. k-means can be semi-supervised. 4. Support Vector Machine (SVM)
A support vector machine is also one of the most effective anomaly detection algorithms. SVM is a supervised machine learning technique mostly used in classification problems. It uses a hyperplane to classify data into 2 different groups. Just to recall that hyperplane is a function such as a formula for a line (e.g. y = nx + b). SVM determines the best hyperplane that separates data into 2 classes. | 6,745 | 7,431 |
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| Support Vector Machine (SVM)
A support vector machine is also one of the most effective anomaly detection algorithms. SVM is a supervised machine learning technique mostly used in classification problems. It uses a hyperplane to classify data into 2 different groups. Just to recall that hyperplane is a function such as a formula for a line (e.g. y = nx + b). SVM determines the best hyperplane that separates data into 2 classes. To say it in another way, given labeled learning data, the algorithm produces an optimal hyperplane that categorizes the new examples. When it comes to anomaly detection, the SVM algorithm clusters the normal data behavior using a learning area. Then, using the testing example, it identifies the abnormalities that go out of the learned area. 5. Neural Networks Based Anomaly Detection
When it comes to modern anomaly detection algorithms, we should start with neural networks. | 7,000 | 7,910 |
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| To say it in another way, given labeled learning data, the algorithm produces an optimal hyperplane that categorizes the new examples. When it comes to anomaly detection, the SVM algorithm clusters the normal data behavior using a learning area. Then, using the testing example, it identifies the abnormalities that go out of the learned area. 5. Neural Networks Based Anomaly Detection
When it comes to modern anomaly detection algorithms, we should start with neural networks. Artificial neural networks are quite popular algorithms initially designed to mimic biological neurons. The primary goal of creating a system of artificial neurons is to get systems that can be trained to learn some data patterns and execute functions like classification, regression, prediction and etc. Building a recurrent neural network that discovers anomalies in time series data is a hot topic in data mining world today. What makes them very helpful for anomaly detection in time series is this power to find out dependent features in multiple time steps. There are many different types of neural networks and they have both supervised and unsupervised learning algorithms. | 7,431 | 8,592 |
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| Artificial neural networks are quite popular algorithms initially designed to mimic biological neurons. The primary goal of creating a system of artificial neurons is to get systems that can be trained to learn some data patterns and execute functions like classification, regression, prediction and etc. Building a recurrent neural network that discovers anomalies in time series data is a hot topic in data mining world today. What makes them very helpful for anomaly detection in time series is this power to find out dependent features in multiple time steps. There are many different types of neural networks and they have both supervised and unsupervised learning algorithms. Example of how neural networks can be used for anomaly detection, you can see here. The above 5 anomaly detection algorithms are the key ones. However, there are other techniques. Here is a more comprehensive list of techniques and algorithms. Nearest-neighbor based algorithms: | 7,910 | 8,871 |
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| Example of how neural networks can be used for anomaly detection, you can see here. The above 5 anomaly detection algorithms are the key ones. However, there are other techniques. Here is a more comprehensive list of techniques and algorithms. Nearest-neighbor based algorithms: k-NN
Local Outlier Factor (LOF)
Connectivity-based Outlier Factor (COF)
Local Outlier Probability (LoOP)
Influenced Outlierness (INFLO)
Local Correlation Integral (LOCI)
Clustering based algorithms: Cluster based Local Outlier Factor (CBLOF)
Local Density Cluster based Outlier Factor (LDCOF)
Statistics based techniques: Parametric techniques
Non-parametric techniques
Classification based techniques: Decision Tree
Neural Networks
Bayesian Networks
Rule-based. The following comparison chart represents the advantages and disadvantages of the top anomaly detection algorithms. | 8,593 | 9,450 |
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| k-NN
Local Outlier Factor (LOF)
Connectivity-based Outlier Factor (COF)
Local Outlier Probability (LoOP)
Influenced Outlierness (INFLO)
Local Correlation Integral (LOCI)
Clustering based algorithms: Cluster based Local Outlier Factor (CBLOF)
Local Density Cluster based Outlier Factor (LDCOF)
Statistics based techniques: Parametric techniques
Non-parametric techniques
Classification based techniques: Decision Tree
Neural Networks
Bayesian Networks
Rule-based. The following comparison chart represents the advantages and disadvantages of the top anomaly detection algorithms. Download it here in PDF format. Conclusion
Although there is a rising interest in anomaly detection algorithms, applications of outlier detection are still limited to areas like bank fraud, finance, health and medical diagnosis, errors in a text and etc. However, in our growing data mining world, anomaly detection would likely to have a crucial role when it comes to monitoring and predictive maintenance. Data scientists and machine learning engineers all over the world put a lot of efforts to analyze data and to use various kind of techniques | 8,871 | 9,999 |
msmarco_v2.1_doc_01_1668124137#0_2445982946 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Best Free Graphing Software: For Download And Online
Best Free Statistical Graphing Software
When it comes to best free graphing software programs, you have plenty of tools for drawing and making any type of math and statistical graphs, charts and diagrams (such as line graph, bar and pie chart, histogram, scatter plot, box and whisker plot) at no costs. The free software for data plotting and building graphs comes in 3 types: on-premise chart makers for free download (for Mac, Windows, and Linux)
online chart and diagram makers
open-source programs. In addition, you can find free and easy 3d graph software that allow creating professional charts for different uses in statistics, math, data science, marketing, etc. Here is a list of the top free software to plot graphs in an easy and professional way. 1. Meta-chart.com
If you are searching for simple and absolutely easy to use online free graphing software, Meta-chart.com can be your answer. All you need is data and you can start building charts and graphs from scratch. The best part is that you can design and share your charts online at no costs. | 0 | 1,114 |
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| Here is a list of the top free software to plot graphs in an easy and professional way. 1. Meta-chart.com
If you are searching for simple and absolutely easy to use online free graphing software, Meta-chart.com can be your answer. All you need is data and you can start building charts and graphs from scratch. The best part is that you can design and share your charts online at no costs. The diagrams and graphs are created in minutes. No need to register to use the program. However, if you choose to register you can save and share your graphs with the world. Key Benefits and Features: A good number of possible types of graphs and charts – you can make line graphs, simple and multiple bar charts, pie charts, histograms, scatter plots, box and whisker plot, area charts, spline graphs, box and whisker plot, tally chart and etc. | 724 | 1,560 |
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| The diagrams and graphs are created in minutes. No need to register to use the program. However, if you choose to register you can save and share your graphs with the world. Key Benefits and Features: A good number of possible types of graphs and charts – you can make line graphs, simple and multiple bar charts, pie charts, histograms, scatter plots, box and whisker plot, area charts, spline graphs, box and whisker plot, tally chart and etc. You can enter data by hand or import spreadsheet files (CSV). Very beautiful and visually appealing designs and graphs. Absolutely easy to use online software to plot graphs. Share for free your own charts and diagrams. You can use normal or 3D chart type. | 1,115 | 1,817 |
msmarco_v2.1_doc_01_1668124137#3_2445986752 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| You can enter data by hand or import spreadsheet files (CSV). Very beautiful and visually appealing designs and graphs. Absolutely easy to use online software to plot graphs. Share for free your own charts and diagrams. You can use normal or 3D chart type. Website: www.meta-chart.com
2. Graph
Graph is for those who need an open-source and free download graphing software for Windows or Mac. It is one of the most popular freeware programs to draw mathematical and statistical graphs. You can draw graphs of functions and do some mathematical calculations on the functions. | 1,560 | 2,135 |
msmarco_v2.1_doc_01_1668124137#4_2445987709 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Website: www.meta-chart.com
2. Graph
Graph is for those who need an open-source and free download graphing software for Windows or Mac. It is one of the most popular freeware programs to draw mathematical and statistical graphs. You can draw graphs of functions and do some mathematical calculations on the functions. The system has a variety of built-in functions, e.g. sin, cos, log, etc. You may choose color, width, and line style of the graphs. Graph is a Windows application but can also be run on a Mac through Wine. Key Benefits and Features: Draw functions – you can plot standard functions, parametric and polar functions. | 1,817 | 2,450 |
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| The system has a variety of built-in functions, e.g. sin, cos, log, etc. You may choose color, width, and line style of the graphs. Graph is a Windows application but can also be run on a Mac through Wine. Key Benefits and Features: Draw functions – you can plot standard functions, parametric and polar functions. Draw relation – the program can show any equation and inequality. Shadings that can be created with different styles and colors. Point series and trendlines. Interact with other programs such as a Windows Bitmap, Portable Network Graphics, JPEG, Windows Enhanced Metafile, Portable Document Format (PDF) and others. You can create your own custom functions. | 2,136 | 2,808 |
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| Draw relation – the program can show any equation and inequality. Shadings that can be created with different styles and colors. Point series and trendlines. Interact with other programs such as a Windows Bitmap, Portable Network Graphics, JPEG, Windows Enhanced Metafile, Portable Document Format (PDF) and others. You can create your own custom functions. Animations showing what happens to a function. Website: http://www.padowan.dk/
3. Infogr.am
Infogr.am is a spectacular free graphing software program accessible online. Actually, it is a paid online software with a free version. | 2,450 | 3,037 |
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| Animations showing what happens to a function. Website: http://www.padowan.dk/
3. Infogr.am
Infogr.am is a spectacular free graphing software program accessible online. Actually, it is a paid online software with a free version. They can offer you ease of use and very creative graph templates. You can build not only beautiful charts but also infographics, maps, and reports. It is a great tool for visualizing marketing data, online publishing, educational purposes, business reporting and etc. Design options are immediately visible. Key Benefits and Features of The Free Plan: | 2,808 | 3,389 |
msmarco_v2.1_doc_01_1668124137#8_2445991729 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| They can offer you ease of use and very creative graph templates. You can build not only beautiful charts but also infographics, maps, and reports. It is a great tool for visualizing marketing data, online publishing, educational purposes, business reporting and etc. Design options are immediately visible. Key Benefits and Features of The Free Plan: 35+ chart types including pie charts, bar and line graphs, column tables, area graphs, scatter plots, bubble plots, treemaps, financial graphs, and word clouds. Publish your content – allows you to add data visualizations on your website with embeds. Import data – you can import your spreadsheet files (CSV, XLSX) from your computer or cloud storage. 2 map types – access to the World map and United States map. 10 library size. | 3,038 | 3,819 |
msmarco_v2.1_doc_01_1668124137#9_2445992906 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| 35+ chart types including pie charts, bar and line graphs, column tables, area graphs, scatter plots, bubble plots, treemaps, financial graphs, and word clouds. Publish your content – allows you to add data visualizations on your website with embeds. Import data – you can import your spreadsheet files (CSV, XLSX) from your computer or cloud storage. 2 map types – access to the World map and United States map. 10 library size. Simple and easy to use interface. Website: https://infogram.com
4.Gnuplot
Gnuplot is a popular portable free graphing software program for download. It is widely used on many platforms, including MS Windows, Linux, Unix, and OSX. It also retains support for older systems such as VMS, Ultrix, OS/2, and MS-DOS. | 3,389 | 4,130 |
msmarco_v2.1_doc_01_1668124137#10_2445994044 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Simple and easy to use interface. Website: https://infogram.com
4.Gnuplot
Gnuplot is a popular portable free graphing software program for download. It is widely used on many platforms, including MS Windows, Linux, Unix, and OSX. It also retains support for older systems such as VMS, Ultrix, OS/2, and MS-DOS. The source code is copyrighted but freely distributed. It was created to help scientists and students to visualize data relationships and mathematical functions. However, now it supports a lot of non-interactive applications such as web scripting. Gnuplot supports both 2D and 3D types of plots. Among the basic 2D plot styles are filled curves, error bars, histograms, bar graphs, step functions, multiple axis scales, circles, boxplots, and many others. | 3,819 | 4,586 |
msmarco_v2.1_doc_01_1668124137#11_2445995194 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| The source code is copyrighted but freely distributed. It was created to help scientists and students to visualize data relationships and mathematical functions. However, now it supports a lot of non-interactive applications such as web scripting. Gnuplot supports both 2D and 3D types of plots. Among the basic 2D plot styles are filled curves, error bars, histograms, bar graphs, step functions, multiple axis scales, circles, boxplots, and many others. Key Benefits and Features: Plotting 2D functions and data points in a variety of styles (points, lines, error bars). Plotting 3D data points and surfaces in many styles (contour plot, mesh). Algebraic Computation. Data-driven model fitting. | 4,131 | 4,827 |
msmarco_v2.1_doc_01_1668124137#12_2445996272 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Key Benefits and Features: Plotting 2D functions and data points in a variety of styles (points, lines, error bars). Plotting 3D data points and surfaces in many styles (contour plot, mesh). Algebraic Computation. Data-driven model fitting. Support for many operating systems, graphics file formats and output devices. Website: http://www.gnuplot.info/
5. Desmos
Desmos is a next-generation online graphing calculator for all students and teachers for no cost. It has a spectacular number of features and capabilities. | 4,586 | 5,105 |
msmarco_v2.1_doc_01_1668124137#13_2445997174 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Support for many operating systems, graphics file formats and output devices. Website: http://www.gnuplot.info/
5. Desmos
Desmos is a next-generation online graphing calculator for all students and teachers for no cost. It has a spectacular number of features and capabilities. The program allows you to graph functions, explore transformations, plot data, evaluate equations, and much more —all for free. You can explore equations, make and share full-color graphs. Desmos is an incredibly powerful graph making tool. It also supports a virtual keyboard with commonly used mathematical symbols. You can also use the physical keyboard. | 4,827 | 5,463 |
msmarco_v2.1_doc_01_1668124137#14_2445998198 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| The program allows you to graph functions, explore transformations, plot data, evaluate equations, and much more —all for free. You can explore equations, make and share full-color graphs. Desmos is an incredibly powerful graph making tool. It also supports a virtual keyboard with commonly used mathematical symbols. You can also use the physical keyboard. Key Benefits and Features: Powerful graph settings to configure the graph according to your requirement. Derivates and differential calculus with just a few keystrokes: d/dx. Function notation to make connections between expressions, tables, and other mathematical objects. | 5,105 | 5,737 |
msmarco_v2.1_doc_01_1668124137#15_2445999216 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Key Benefits and Features: Powerful graph settings to configure the graph according to your requirement. Derivates and differential calculus with just a few keystrokes: d/dx. Function notation to make connections between expressions, tables, and other mathematical objects. Inequalities to automatically shade above or below lines and curves. Many statistical capabilities such as investigating the shape, center, and spread of data sets, running linear regression models, making and drawing statistical charts such as line graph, bar charts, scatter plots and many others and etc. Integrals, plotting points, polar graphing and many many other features. Website: https://www.desmos.com/
6. | 5,463 | 6,154 |
msmarco_v2.1_doc_01_1668124137#16_2446000289 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Inequalities to automatically shade above or below lines and curves. Many statistical capabilities such as investigating the shape, center, and spread of data sets, running linear regression models, making and drawing statistical charts such as line graph, bar charts, scatter plots and many others and etc. Integrals, plotting points, polar graphing and many many other features. Website: https://www.desmos.com/
6. Orange
Orange is an open-source machine learning, statistical and data visualization tool for novice and professionals. It features visual programming, data analysis, and interactive data visualization. In addition, it can also be used as a Python library. You can fall in love with this tool that allows you to make business decisions without spending a long time analyzing and comparing numbers. Orange is ideal for data visualization and has it all: | 5,737 | 6,607 |
msmarco_v2.1_doc_01_1668124137#17_2446001542 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Orange
Orange is an open-source machine learning, statistical and data visualization tool for novice and professionals. It features visual programming, data analysis, and interactive data visualization. In addition, it can also be used as a Python library. You can fall in love with this tool that allows you to make business decisions without spending a long time analyzing and comparing numbers. Orange is ideal for data visualization and has it all: a range of types of graphs, statistical distributions, heatmaps, decision trees, hierarchical clustering, linear projections, box plot, scatter plots and many many others. It is a free download software for Windows, Mac OS, and Linux. Key Benefits and Features: You can perform simple data analysis with clever data visualization. A wide variety of visualization widgets such as scatter plot, box plot, histogram, model-specific visualizations like dendrogram, silhouette plot, and etc. | 6,155 | 7,094 |
msmarco_v2.1_doc_01_1668124137#18_2446002864 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| a range of types of graphs, statistical distributions, heatmaps, decision trees, hierarchical clustering, linear projections, box plot, scatter plots and many many others. It is a free download software for Windows, Mac OS, and Linux. Key Benefits and Features: You can perform simple data analysis with clever data visualization. A wide variety of visualization widgets such as scatter plot, box plot, histogram, model-specific visualizations like dendrogram, silhouette plot, and etc. Visual programming and graphic user interface that allows you to focus on exploratory data analysis instead of coding. Used at schools, universities and in professional training courses across the world. Various add-ons are available within Orange to mine data. Website: https://orange.biolab.si/
7. | 6,608 | 7,394 |
msmarco_v2.1_doc_01_1668124137#19_2446004033 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Visual programming and graphic user interface that allows you to focus on exploratory data analysis instead of coding. Used at schools, universities and in professional training courses across the world. Various add-ons are available within Orange to mine data. Website: https://orange.biolab.si/
7. GeoGebra
GeoGebra is among the best open-source and free graphing software for all levels of education that combines spreadsheets, graphing, geometry, algebra, statistics, maths, and calculus in one easy-to-use tool. GeoGebra is a leading provider of mathematics software, supporting science, statistics, technology, engineering, and mathematics education worldwide. You can easily solve equations, create constructions, graph functions, analyze data, and explore 3D math! You can use the program online or download it on your computer. Key Benefits and Features: | 7,094 | 7,958 |
msmarco_v2.1_doc_01_1668124137#20_2446005280 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| GeoGebra
GeoGebra is among the best open-source and free graphing software for all levels of education that combines spreadsheets, graphing, geometry, algebra, statistics, maths, and calculus in one easy-to-use tool. GeoGebra is a leading provider of mathematics software, supporting science, statistics, technology, engineering, and mathematics education worldwide. You can easily solve equations, create constructions, graph functions, analyze data, and explore 3D math! You can use the program online or download it on your computer. Key Benefits and Features: Very easy-to-use interface with many powerful features. Provides a wide variety of different views for mathematical objects: algebra view, graphics view, a spreadsheet view, 3D graphics view, CAS view, probability calculator view and etc. Available in many languages for our millions of users around the world. Direct input of different equations and coordinates. | 7,395 | 8,322 |
msmarco_v2.1_doc_01_1668124137#21_2446006590 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Very easy-to-use interface with many powerful features. Provides a wide variety of different views for mathematical objects: algebra view, graphics view, a spreadsheet view, 3D graphics view, CAS view, probability calculator view and etc. Available in many languages for our millions of users around the world. Direct input of different equations and coordinates. You can use it free online or download for Windows, Mac, and Linux. Website: https://www.geogebra.org
8. AmCharts
AmCharts is also one of the impressive free graphing software tools that can surprise you with its simplicity. This advanced charting tool can suit any data visualization needs. | 7,958 | 8,614 |
msmarco_v2.1_doc_01_1668124137#22_2446007629 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| You can use it free online or download for Windows, Mac, and Linux. Website: https://www.geogebra.org
8. AmCharts
AmCharts is also one of the impressive free graphing software tools that can surprise you with its simplicity. This advanced charting tool can suit any data visualization needs. Their charting solutions include line chart, area, box and whisker plot, column, bar, waterfall, Mekko, cylinder, trapezoid, candlestick, stacked (regular, 100% or 3D) and many other types of graphs. In addition, AmCharts has both online and offline capabilities. Key Benefits and Features: Advanced serial charts to display complex data visualizations. The software combines various graph types on a single chart. | 8,322 | 9,029 |
msmarco_v2.1_doc_01_1668124137#23_2446008719 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Their charting solutions include line chart, area, box and whisker plot, column, bar, waterfall, Mekko, cylinder, trapezoid, candlestick, stacked (regular, 100% or 3D) and many other types of graphs. In addition, AmCharts has both online and offline capabilities. Key Benefits and Features: Advanced serial charts to display complex data visualizations. The software combines various graph types on a single chart. Superior time-based scales. Micro-charts and sparklines. Functional tool that has interactive capabilities, export options, and loads external data. Responsive and mobile-friendly program. Highly configurable and flexible, rich in annotation options. | 8,614 | 9,280 |
msmarco_v2.1_doc_01_1668124137#24_2446009766 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Superior time-based scales. Micro-charts and sparklines. Functional tool that has interactive capabilities, export options, and loads external data. Responsive and mobile-friendly program. Highly configurable and flexible, rich in annotation options. Supports themes & CSS styling. Multi-lingual – nearly 30 languages bundled with the product. Website: https://www.amcharts.com
Want more free graphing software programs? Here is a list of other good solutions at no price: | 9,029 | 9,502 |
msmarco_v2.1_doc_01_1668124137#25_2446010626 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| Supports themes & CSS styling. Multi-lingual – nearly 30 languages bundled with the product. Website: https://www.amcharts.com
Want more free graphing software programs? Here is a list of other good solutions at no price: 9. Mondrian – a general-purpose statistical data-visualization software. It features outstanding interactive visualization techniques for data of almost any kind. 10. LabPlot – a KDE-application for interactive graphing and analysis of scientific data. | 9,281 | 9,755 |
msmarco_v2.1_doc_01_1668124137#26_2446011498 | http://intellspot.com/best-free-graphing-software/ | Best Free Graphing Software: For Download And Online | Best Free Statistical Graphing Software
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| 9. Mondrian – a general-purpose statistical data-visualization software. It features outstanding interactive visualization techniques for data of almost any kind. 10. LabPlot – a KDE-application for interactive graphing and analysis of scientific data. It provides an easy way to create, manage and edit plots and to perform data analysis. Available for Linux, Windows and Mac OS X.
11. MathGV – a free open source mathematical function graphing software program for Windows XP, Vista and Windows | 9,502 | 9,999 |
msmarco_v2.1_doc_01_1668135929#0_2446012392 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| 10 Best BI Reporting Tools (And A List Of 20 Others)
10 Best BI Reporting Tools (And A List Of 20 Others)
Today, there is a good list of BI reporting tools and software solutions that can effortlessly transform big data into interactive and automated reports in no time. All of the best and most popular business intelligence tools come with comprehensive features and capabilities. The new and modern Bi tools for reporting are fully interactive with KPI dashboards for mobile, online or on-premise usage. They should allow you to easily monitor information and share reports or dashboards immediately. On this page: 10 Top BI reporting tools. List of other good business intelligence software solutions available on the market. What is BI Reporting Tool? Typically, BI reporting tool is a part of a BI system for creating important reports for the analysis purposes. However, reporting tools can be also independent software solutions designed specially for presenting information, creating reports and data visualizations. | 0 | 1,025 |
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| 10 Top BI reporting tools. List of other good business intelligence software solutions available on the market. What is BI Reporting Tool? Typically, BI reporting tool is a part of a BI system for creating important reports for the analysis purposes. However, reporting tools can be also independent software solutions designed specially for presenting information, creating reports and data visualizations. BI reporting commonly is an automated function that takes and reports analyzed data. The reports can be in form of any types of graphs and charts, statistical data or textual content. Nowadays, BI reporting is a powerful solution for providing actionable results that help businesses to perform more successful data driven decision making. 10 Best BI Reporting Tools
1. SAP Crystal Reports
Used by main companies worldwide, SAP Crystal Reports is one of the most popular BI reporting software solutions designed to provide business reports that accelerate decision-making. | 617 | 1,598 |
msmarco_v2.1_doc_01_1668135929#2_2446015305 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| BI reporting commonly is an automated function that takes and reports analyzed data. The reports can be in form of any types of graphs and charts, statistical data or textual content. Nowadays, BI reporting is a powerful solution for providing actionable results that help businesses to perform more successful data driven decision making. 10 Best BI Reporting Tools
1. SAP Crystal Reports
Used by main companies worldwide, SAP Crystal Reports is one of the most popular BI reporting software solutions designed to provide business reports that accelerate decision-making. It makes presenting data through reports a breeze. You will find a great flexibility and customization for various reports and presentations that you can generate daily. Multiple users can feed and draw data from it. In addition, the system can produce reports based on information that is gathered from almost any data source. Key features and benefits: | 1,025 | 1,953 |
msmarco_v2.1_doc_01_1668135929#3_2446016688 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| It makes presenting data through reports a breeze. You will find a great flexibility and customization for various reports and presentations that you can generate daily. Multiple users can feed and draw data from it. In addition, the system can produce reports based on information that is gathered from almost any data source. Key features and benefits: Pixel-perfect reports – create highly formatted reports quickly. Efficient content delivery even throughout very large organizations. Generate multilingual reports. Interactive report exploration. Parameter values, with no need to refresh data. | 1,599 | 2,198 |
msmarco_v2.1_doc_01_1668135929#4_2446017746 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| Pixel-perfect reports – create highly formatted reports quickly. Efficient content delivery even throughout very large organizations. Generate multilingual reports. Interactive report exploration. Parameter values, with no need to refresh data. Create direct connectivity to data sources without data modeling. Devices Supported: Windows, Mac, online, web-based
Website: https://www.sap.com/
2. Sisense BI Reporting
Maybe you know Sisense as it is one of the best solutions in the BI market and also a winner of the Best Business Intelligence Software Award for FinancesOnline. | 1,953 | 2,531 |
msmarco_v2.1_doc_01_1668135929#5_2446018785 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| Create direct connectivity to data sources without data modeling. Devices Supported: Windows, Mac, online, web-based
Website: https://www.sap.com/
2. Sisense BI Reporting
Maybe you know Sisense as it is one of the best solutions in the BI market and also a winner of the Best Business Intelligence Software Award for FinancesOnline. Sisense provides an end-to-end BI reporting tool. It is a self-service analytics and reporting tool that allows anyone to create interactive dashboards and powerful reports in no time. Even non-technical users can come up with robust visual reports without spending time for preparation. Key features and benefits: Fully interactive reports that update automatically
All reports and dashboards feed from real-time data. | 2,198 | 2,951 |
msmarco_v2.1_doc_01_1668135929#6_2446019995 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| Sisense provides an end-to-end BI reporting tool. It is a self-service analytics and reporting tool that allows anyone to create interactive dashboards and powerful reports in no time. Even non-technical users can come up with robust visual reports without spending time for preparation. Key features and benefits: Fully interactive reports that update automatically
All reports and dashboards feed from real-time data. Building and sharing dashboards is absolutely easy. Create reports with data from multiple data sources such as Excel, text/CSV files, any database (SQL Server, Oracle, MySQL), and cloud sources. Reports with beautiful visualizations. Works on any mobile or desktop device. Devices: | 2,531 | 3,234 |
msmarco_v2.1_doc_01_1668135929#7_2446021152 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| Building and sharing dashboards is absolutely easy. Create reports with data from multiple data sources such as Excel, text/CSV files, any database (SQL Server, Oracle, MySQL), and cloud sources. Reports with beautiful visualizations. Works on any mobile or desktop device. Devices: Windows, Mac, Android, iPhone/iPad, online
Website: www.sisense.com/
3. Datapine BI Reporting
When it comes to fast, easy and advanced BI reporting tools and software solutions, Datapine definitely can shine. It allows for easy monitoring of all needed business information and seamlessly sharing dashboards or reports in a matter of seconds. BI reporting not only need to be comprehensive but also should save your time by providing quick, and straightforward views. | 2,951 | 3,702 |
msmarco_v2.1_doc_01_1668135929#8_2446022359 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| Windows, Mac, Android, iPhone/iPad, online
Website: www.sisense.com/
3. Datapine BI Reporting
When it comes to fast, easy and advanced BI reporting tools and software solutions, Datapine definitely can shine. It allows for easy monitoring of all needed business information and seamlessly sharing dashboards or reports in a matter of seconds. BI reporting not only need to be comprehensive but also should save your time by providing quick, and straightforward views. Datapine resolves this as give you valuable insights into a few steps without waiting. Practically, anyone from small startups to global businesses can create BI reports fastly and easily with the intuitive drag-and-drop interface. Key features and benefits: Powerful BI tool even for non-technical users. Great UI and UX. | 3,235 | 4,025 |
msmarco_v2.1_doc_01_1668135929#9_2446023606 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| Datapine resolves this as give you valuable insights into a few steps without waiting. Practically, anyone from small startups to global businesses can create BI reports fastly and easily with the intuitive drag-and-drop interface. Key features and benefits: Powerful BI tool even for non-technical users. Great UI and UX. Highly secure and crunches data. Unlimited dashboards. A range of graphs and charts for presenting your findings. Perform data analysis in as little as 10 minutes. No maintenance or update costs. | 3,703 | 4,221 |
msmarco_v2.1_doc_01_1668135929#10_2446024578 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| Highly secure and crunches data. Unlimited dashboards. A range of graphs and charts for presenting your findings. Perform data analysis in as little as 10 minutes. No maintenance or update costs. Website: https://www.datapine.com
Devices Supported: Web-based, mobile
4. Yellowfin Reporting
Yellowfin is one of the relatively new BI software apps and data visualization tools that provide an awesome and reliable analytics and reporting experience for businesses across various industries and scaling sizes. From raw data to comprehensive dashboards to actionable insight and reports, it helps you predict the future. | 4,025 | 4,642 |
msmarco_v2.1_doc_01_1668135929#11_2446025652 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| Website: https://www.datapine.com
Devices Supported: Web-based, mobile
4. Yellowfin Reporting
Yellowfin is one of the relatively new BI software apps and data visualization tools that provide an awesome and reliable analytics and reporting experience for businesses across various industries and scaling sizes. From raw data to comprehensive dashboards to actionable insight and reports, it helps you predict the future. In Yellowfin you will find beautiful and interactive dashboards and reports that make your monitoring of business a breeze. It is absolutely easy to look at data from across multiple sources and devices. Key features and benefits: Awesome dashboards with a lot of flexibility and built-in help. Quickly create stunning, flexible reports. | 4,221 | 4,980 |
msmarco_v2.1_doc_01_1668135929#12_2446026868 | http://intellspot.com/bi-reporting-tools/ | 10 Best BI Reporting Tools (And A List Of 20 Others) | 10 Best BI Reporting Tools (And A List Of 20 Others)
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| In Yellowfin you will find beautiful and interactive dashboards and reports that make your monitoring of business a breeze. It is absolutely easy to look at data from across multiple sources and devices. Key features and benefits: Awesome dashboards with a lot of flexibility and built-in help. Quickly create stunning, flexible reports. Blend multiple data sources for producing stunning visualizations and infographics. Market leading collaboration and sharing. Governance and security to ensure complete trust. Website: https://www.yellowfinbi.com/
Devices supported: | 4,643 | 5,213 |
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| Blend multiple data sources for producing stunning visualizations and infographics. Market leading collaboration and sharing. Governance and security to ensure complete trust. Website: https://www.yellowfinbi.com/
Devices supported: Windows, mobile, iPhone/iPad, Mac, Web-based
5. Looker
Looker is an impressive cloud-based business intelligence with beautiful, dynamic charts and reports designed to help you explore, present, and analyze data. Their interactive data visualizations and great reports make deeper analysis simple, easy and quick. Visualizations and charts are built on fresh data direct from the source and they update in real-time. Data analysis is convenient and appealing. | 4,980 | 5,673 |
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| Windows, mobile, iPhone/iPad, Mac, Web-based
5. Looker
Looker is an impressive cloud-based business intelligence with beautiful, dynamic charts and reports designed to help you explore, present, and analyze data. Their interactive data visualizations and great reports make deeper analysis simple, easy and quick. Visualizations and charts are built on fresh data direct from the source and they update in real-time. Data analysis is convenient and appealing. In addition, you can easily share data-rich reports and dashboards anytime and from any device. Key features and benefits: Easy-to-read reports and beautiful dashboards. Web-based. No software to download. | 5,214 | 5,879 |
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| In addition, you can easily share data-rich reports and dashboards anytime and from any device. Key features and benefits: Easy-to-read reports and beautiful dashboards. Web-based. No software to download. Streamline collaboration features. Reliable support and rich self-service database. Visualizations can be enhanced with elegant details from trend lines to conditional formatting. Website: https://looker.com
Devices supported: | 5,673 | 6,106 |
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| Streamline collaboration features. Reliable support and rich self-service database. Visualizations can be enhanced with elegant details from trend lines to conditional formatting. Website: https://looker.com
Devices supported: Windows, Linux, Mac, Online
6. Domo
If you are searching for best mobile BI reporting tools with a unique set of social collaboration capabilities, Domo can be your answer. Domo is built for decision makers, with 300+ interactive charts, reports, and dashboards for mobile, online, and desktop usage. Moreover, Domo’s native apps for iOS and Android are real-time, absolutely intuitive, and designed for on-the-go decision makers. Additionally, with 500+ data connectors, Domo allows you to easily bring in data directly from any 3rd party source—cloud, on-premise, or proprietary systems. | 5,879 | 6,696 |
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| Windows, Linux, Mac, Online
6. Domo
If you are searching for best mobile BI reporting tools with a unique set of social collaboration capabilities, Domo can be your answer. Domo is built for decision makers, with 300+ interactive charts, reports, and dashboards for mobile, online, and desktop usage. Moreover, Domo’s native apps for iOS and Android are real-time, absolutely intuitive, and designed for on-the-go decision makers. Additionally, with 500+ data connectors, Domo allows you to easily bring in data directly from any 3rd party source—cloud, on-premise, or proprietary systems. Key features and benefits: Real-time data refresh
Instant, data-driven chart that allows everyone to share and collaborate. Best-in-class mobile apps and fully-interactive mobile experience. Flexible architecture. Effective visualizations and 300+ interactive charts. | 6,107 | 6,964 |
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| Key features and benefits: Real-time data refresh
Instant, data-driven chart that allows everyone to share and collaborate. Best-in-class mobile apps and fully-interactive mobile experience. Flexible architecture. Effective visualizations and 300+ interactive charts. Access to your live business data – on any device. Devices supported: Windows, Windows Mobile, Android, iPhone/iPad, Mac, Online
Website: https://www.domo.com
7. Tableau Reporting
We cannot talk about best BI reporting tools without mentioning one of the leaders in the BI industry – Tableau. | 6,696 | 7,257 |
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| Access to your live business data – on any device. Devices supported: Windows, Windows Mobile, Android, iPhone/iPad, Mac, Online
Website: https://www.domo.com
7. Tableau Reporting
We cannot talk about best BI reporting tools without mentioning one of the leaders in the BI industry – Tableau. Tableau is one of the most popular business intelligence solutions that help businesses to represent, visualize, report, analyze and understand their data. When it comes to visualization and reporting, Tableau capabilities are at a very high level. It provides live visual analytics and fuel unlimited data exploration. Interactive dashboards help you uncover hidden insights on the fly. Key features and benefits: | 6,964 | 7,672 |
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| Tableau is one of the most popular business intelligence solutions that help businesses to represent, visualize, report, analyze and understand their data. When it comes to visualization and reporting, Tableau capabilities are at a very high level. It provides live visual analytics and fuel unlimited data exploration. Interactive dashboards help you uncover hidden insights on the fly. Key features and benefits: Intuitive and easy interface. Gets actionable insights fast. One of the easiest BI reporting tools for report recipients. Connects to data on-prem or in the cloud, online. Trend analyses, linear regression models, and correlations for tried and true statistical analysis and understanding. | 7,258 | 7,962 |
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| Intuitive and easy interface. Gets actionable insights fast. One of the easiest BI reporting tools for report recipients. Connects to data on-prem or in the cloud, online. Trend analyses, linear regression models, and correlations for tried and true statistical analysis and understanding. Creates interactive maps automatically. Mobile, online and desktop usage. Devices supported: Windows, Android, iPhone/iPad, Mac, Online, Cloud-based. Website: | 7,672 | 8,121 |
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| Creates interactive maps automatically. Mobile, online and desktop usage. Devices supported: Windows, Android, iPhone/iPad, Mac, Online, Cloud-based. Website: https://www.tableau.com
8. Phocas
Phocas can impress you with its data visualization and report capabilities. Phocas is a tool that exceeds customer expectations as allows you to get data in seconds on sales, forecasts, inventory, prices, profit margins, people, and budgets. You are able to interrogate data on the fly, identify trends, track performance, see new opportunities. It’s easy to present your findings on reports. | 7,962 | 8,548 |
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| https://www.tableau.com
8. Phocas
Phocas can impress you with its data visualization and report capabilities. Phocas is a tool that exceeds customer expectations as allows you to get data in seconds on sales, forecasts, inventory, prices, profit margins, people, and budgets. You are able to interrogate data on the fly, identify trends, track performance, see new opportunities. It’s easy to present your findings on reports. Scheduling report alerts and distribution is a piece of cake. Key features and benefits: A consolidated view of your actual product, customer, and financial data. Bar, bullet, bubble, column, area, line, gauge, pie and dual axis charts that animate when opening and filtering. Brilliant dashboards. | 8,122 | 8,847 |
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| Scheduling report alerts and distribution is a piece of cake. Key features and benefits: A consolidated view of your actual product, customer, and financial data. Bar, bullet, bubble, column, area, line, gauge, pie and dual axis charts that animate when opening and filtering. Brilliant dashboards. Mobile – you can access your dashboards and reports wherever you are on smartphones and tablets. Sharing, collaboration, and group discussion. Devices supported: Windows, Windows Mobile, Linux, Android, iPhone/iPad, Mac, Web-based. Website: | 8,549 | 9,088 |
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| Mobile – you can access your dashboards and reports wherever you are on smartphones and tablets. Sharing, collaboration, and group discussion. Devices supported: Windows, Windows Mobile, Linux, Android, iPhone/iPad, Mac, Web-based. Website: www.phocassoftware.com
9. Sysomos
Sysomos is a unified, insights-driven social platform that provides business intelligence and reporting across earned, owned, and paid media. Your can go-to social research engine and quickly make sense of social data and draw insights. Its visual analytics can help you uncover new insights into behaviors and interests of your audience. The tool is great for agencies or marketers that need in-depth social media research, analytics, and reporting. | 8,847 | 9,573 |
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| www.phocassoftware.com
9. Sysomos
Sysomos is a unified, insights-driven social platform that provides business intelligence and reporting across earned, owned, and paid media. Your can go-to social research engine and quickly make sense of social data and draw insights. Its visual analytics can help you uncover new insights into behaviors and interests of your audience. The tool is great for agencies or marketers that need in-depth social media research, analytics, and reporting. Key features and benefits: Proactive social monitoring. Complete visibility and control over your earned, owned and paid data. Real-time monitoring. Powerful analytics and an easy to use interface. | 9,089 | 9,771 |
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| Key features and benefits: Proactive social monitoring. Complete visibility and control over your earned, owned and paid data. Real-time monitoring. Powerful analytics and an easy to use interface. Share, collaborate and iterate. Devices supported: Windows, Mac, Web-based
Website: https://sysomos.com/
10. OpenText Analytics Suite
If you are searching for the best open source BI reporting tools, OpenText Analytics Suite is | 9,573 | 9,999 |
msmarco_v2.1_doc_01_1668149708#0_2446044371 | http://intellspot.com/binomial-distribution-examples/ | Binomial Distribution Examples, Problems and Formula | Examples of Binomial Distribution Problems and Solutions
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| Binomial Distribution Examples, Problems and Formula
Examples of Binomial Distribution Problems and Solutions
As in any other statistical areas, the understanding of binomial probability comes with exploring binomial distribution examples , problems, answers, and solutions from the real life. It is not too much to say that the path of mastering statistics and data science starts with probability. And the binomial concept has its core role when it comes to defining the probability of success or failure in an experiment or survey. On this page you will learn: Binomial distribution definition and formula. Conditions for using the formula. 3 examples of the binomial distribution problems and solutions. Many real life and business situations are a pass-fail type. For example, if you flip a coin, you either get heads or tails. You either will win or lose a backgammon game. | 0 | 879 |
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| Conditions for using the formula. 3 examples of the binomial distribution problems and solutions. Many real life and business situations are a pass-fail type. For example, if you flip a coin, you either get heads or tails. You either will win or lose a backgammon game. There are only two possible outcomes – success and failure, win and lose. And the key element here also is that likelihood of the two outcomes may or may not be the same. So, what is binomial distribution? Let’s define it: In simple words, a binomial distribution is the probability of a success or failure results in an experiment that is repeated a few or many times. | 609 | 1,249 |
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| There are only two possible outcomes – success and failure, win and lose. And the key element here also is that likelihood of the two outcomes may or may not be the same. So, what is binomial distribution? Let’s define it: In simple words, a binomial distribution is the probability of a success or failure results in an experiment that is repeated a few or many times. The prefix “bi” means two. We have only 2 possible incomes. Binomial probability distributions are very useful in a wide range of problems, experiments, and surveys. However, how to know when to use them? Let’s see the necessary conditions and criteria to use binomial distributions: | 880 | 1,533 |
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| The prefix “bi” means two. We have only 2 possible incomes. Binomial probability distributions are very useful in a wide range of problems, experiments, and surveys. However, how to know when to use them? Let’s see the necessary conditions and criteria to use binomial distributions: Rule 1: Situation where there are only two possible mutually exclusive outcomes (for example, yes/no survey questions). Rule2: A fixed number of repeated experiments and trials are conducted (the process must have a clearly defined number of trials). Rule 3: | 1,249 | 1,792 |
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| Rule 1: Situation where there are only two possible mutually exclusive outcomes (for example, yes/no survey questions). Rule2: A fixed number of repeated experiments and trials are conducted (the process must have a clearly defined number of trials). Rule 3: All trials are identical and independent (identical means every trial must be performed the same way as the others; independent means that the result of one trial does not affect the results of the other subsequent trials). Rule: 4: The probability of success is the same in every one of the trials. | 1,533 | 2,092 |
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| All trials are identical and independent (identical means every trial must be performed the same way as the others; independent means that the result of one trial does not affect the results of the other subsequent trials). Rule: 4: The probability of success is the same in every one of the trials. Notations for Binomial Distribution and the Mass Formula: Where: P is the probability of success on any trail. q = 1- P – the probability of failure
n – the number of trails/experiments
x – the number of successes, it can take the values 0, 1, 2, 3, . . . n.
n C x = n!/x! ( | 1,793 | 2,367 |
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| Notations for Binomial Distribution and the Mass Formula: Where: P is the probability of success on any trail. q = 1- P – the probability of failure
n – the number of trails/experiments
x – the number of successes, it can take the values 0, 1, 2, 3, . . . n.
n C x = n!/x! ( n-x) and denotes the number of combinations of n elements taken x at a time. Assuming what the nCx means, we can write the above formula in this way: Just to remind that the ! symbol after a number means it’s a factorial. The factorial of a non-negative integer x is denoted by x!. | 2,092 | 2,648 |
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| n-x) and denotes the number of combinations of n elements taken x at a time. Assuming what the nCx means, we can write the above formula in this way: Just to remind that the ! symbol after a number means it’s a factorial. The factorial of a non-negative integer x is denoted by x!. And x! is the product of all positive integers less than or equal to x. For example, 4! = 4 x 3 x 2 x 1 = 24. Examples of binomial distribution problems: The number of defective/non-defective products in a production run. | 2,367 | 2,870 |
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| And x! is the product of all positive integers less than or equal to x. For example, 4! = 4 x 3 x 2 x 1 = 24. Examples of binomial distribution problems: The number of defective/non-defective products in a production run. Yes/No Survey (such as asking 150 people if they watch ABC news). Vote counts for a candidate in an election. The number of successful sales calls. The number of male/female workers in a company
So, as we have the basis let’s see some binominal distribution examples, problems, and solutions from real life. Example 1: | 2,649 | 3,189 |
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| Yes/No Survey (such as asking 150 people if they watch ABC news). Vote counts for a candidate in an election. The number of successful sales calls. The number of male/female workers in a company
So, as we have the basis let’s see some binominal distribution examples, problems, and solutions from real life. Example 1: Let’s say that 80% of all business startups in the IT industry report that they generate a profit in their first year. If a sample of 10 new IT business startups is selected, find the probability that exactly seven will generate a profit in their first year. First, do we satisfy the conditions of the binomial distribution model? There are only two possible mutually exclusive outcomes – to generate a profit in the first year or not (yes or no). There are a fixed number of trails (startups) – 10. | 2,870 | 3,689 |
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| Let’s say that 80% of all business startups in the IT industry report that they generate a profit in their first year. If a sample of 10 new IT business startups is selected, find the probability that exactly seven will generate a profit in their first year. First, do we satisfy the conditions of the binomial distribution model? There are only two possible mutually exclusive outcomes – to generate a profit in the first year or not (yes or no). There are a fixed number of trails (startups) – 10. The IT startups are independent and it is reasonable to assume that this is true. The probability of success for each startup is 0.8. We know that: n = 10, p=0.80, q=0.20, x=7
The probability of 7 IT startups to generate a profit in their first year is: This is equivalent to: | 3,189 | 3,966 |
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| The IT startups are independent and it is reasonable to assume that this is true. The probability of success for each startup is 0.8. We know that: n = 10, p=0.80, q=0.20, x=7
The probability of 7 IT startups to generate a profit in their first year is: This is equivalent to: Interpretation/solution: There is a 20.13% probability that exactly 7 of 10 IT startups will generate a profit in their first year when the probability of profit in the first year for each startup is 80%. And as we live in the internet ERA and there are so many online calculators available for free use, there is no need to calculate by hand. Just use one of the online calculators for binomial distribution (for example this one ). The important points here are to know when to use the binomial formula and to know what are the values of p, q, n, and x.
Also, binomial probabilities can be computed in an Excel spreadsheet using the = BINOMDIST function. | 3,689 | 4,623 |
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| Interpretation/solution: There is a 20.13% probability that exactly 7 of 10 IT startups will generate a profit in their first year when the probability of profit in the first year for each startup is 80%. And as we live in the internet ERA and there are so many online calculators available for free use, there is no need to calculate by hand. Just use one of the online calculators for binomial distribution (for example this one ). The important points here are to know when to use the binomial formula and to know what are the values of p, q, n, and x.
Also, binomial probabilities can be computed in an Excel spreadsheet using the = BINOMDIST function. Example 2: Your basketball team is playing a series of 5 games against your opponent. The winner is those who wins more games (out of 5). Let assume that your team is much more skilled and has 75% chances of winning. It means there is a 25% chance of losing. | 3,966 | 4,882 |
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| Example 2: Your basketball team is playing a series of 5 games against your opponent. The winner is those who wins more games (out of 5). Let assume that your team is much more skilled and has 75% chances of winning. It means there is a 25% chance of losing. What is the probability of your team get 3 wins? We need to find out. In this example: n = 5, p=0.75, q=0.25, x=3
Let’s replace in the formula to get the answer: Interpretation: | 4,623 | 5,060 |
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| What is the probability of your team get 3 wins? We need to find out. In this example: n = 5, p=0.75, q=0.25, x=3
Let’s replace in the formula to get the answer: Interpretation: the probability that you win 3 games is 0.264. Example 3: A box of candies has many different colors in it. There is a 15% chance of getting a pink candy. What is the probability that exactly 4 candies in a box are pink out of 10? | 4,882 | 5,291 |
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| the probability that you win 3 games is 0.264. Example 3: A box of candies has many different colors in it. There is a 15% chance of getting a pink candy. What is the probability that exactly 4 candies in a box are pink out of 10? We have that: n = 10, p=0.15, q=0.85, x=4
When we replace in the formula: Interpretation: The probability that exactly 4 candies in a box are pink is 0.04. The above binomial distribution examples aim to help you understand better the whole idea of binomial probability. | 5,061 | 5,562 |
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| We have that: n = 10, p=0.15, q=0.85, x=4
When we replace in the formula: Interpretation: The probability that exactly 4 candies in a box are pink is 0.04. The above binomial distribution examples aim to help you understand better the whole idea of binomial probability. If you need more examples in statistics and data science area, our posts descriptive statistics examples and categorical data examples might be useful for you. About The Author
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msmarco_v2.1_doc_01_1668156367#0_2446062730 | http://intellspot.com/bivariate-data-examples/ | Bivariate Data Analysis: Examples, Definition, Data Sets Correlation | Bivariate Data: Examples, Definition and Analysis
Bivariate Data: Examples, Definition and Analysis
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| Bivariate Data Analysis: Examples, Definition, Data Sets Correlation
Bivariate Data: Examples, Definition and Analysis
In statistics, many bivariate data examples can be given to help you understand the relationship between two variables and to grasp the idea behind the bivariate data analysis definition and meaning. Bivariate analysis is a statistical method that helps you study relationships (correlation) between data sets. Many businesses, marketing, and social science questions and problems could be solved using bivariate data sets. On this page: What is bivariate data? Definition. Examples of bivariate data: with table. | 0 | 632 |
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Bivariate Data: Examples, Definition and Analysis
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| On this page: What is bivariate data? Definition. Examples of bivariate data: with table. Bivariate data analysis examples: including linear regression analysis, correlation (relationship), distribution, and scatter plot. Let’s define bivariate data: We have bivariate data when we studying two variables. These variables are changing and are compared to find the relationships between them. | 542 | 934 |
msmarco_v2.1_doc_01_1668156367#2_2446064580 | http://intellspot.com/bivariate-data-examples/ | Bivariate Data Analysis: Examples, Definition, Data Sets Correlation | Bivariate Data: Examples, Definition and Analysis
Bivariate Data: Examples, Definition and Analysis
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| Bivariate data analysis examples: including linear regression analysis, correlation (relationship), distribution, and scatter plot. Let’s define bivariate data: We have bivariate data when we studying two variables. These variables are changing and are compared to find the relationships between them. For example, if you are studying a group of students to find out their average math score and their age, you have two variables (math score and age). If you are studying only one variable, for example only math score for these students, then we have univariate data. When we are examining bivariate data, the two variables could depend on each other. One variable could influence another. In this case, we say that the bivariate data has: | 632 | 1,373 |
msmarco_v2.1_doc_01_1668156367#3_2446065737 | http://intellspot.com/bivariate-data-examples/ | Bivariate Data Analysis: Examples, Definition, Data Sets Correlation | Bivariate Data: Examples, Definition and Analysis
Bivariate Data: Examples, Definition and Analysis
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| For example, if you are studying a group of students to find out their average math score and their age, you have two variables (math score and age). If you are studying only one variable, for example only math score for these students, then we have univariate data. When we are examining bivariate data, the two variables could depend on each other. One variable could influence another. In this case, we say that the bivariate data has: an independent variable and
a dependent variable. A classical example of dependent and independent variables are age and heights of the babies and toddlers. When age increases, the height also increases. Let’s move on to some real-life and practical bivariate data examples. Example 1: | 934 | 1,659 |
msmarco_v2.1_doc_01_1668156367#4_2446066879 | http://intellspot.com/bivariate-data-examples/ | Bivariate Data Analysis: Examples, Definition, Data Sets Correlation | Bivariate Data: Examples, Definition and Analysis
Bivariate Data: Examples, Definition and Analysis
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| an independent variable and
a dependent variable. A classical example of dependent and independent variables are age and heights of the babies and toddlers. When age increases, the height also increases. Let’s move on to some real-life and practical bivariate data examples. Example 1: Look at the following bivariate data table. It represents the age and average height of a group of babies and kids. Age
Height (in cms)
3 months
58.5
6 months
64
9 months
68.5
1 years
74
2 years
81.2
3 years
89.1
4 years
95
5 years
102.5
Note: Commonly, bivariate data is stored in a table with two columns. There are 2 types of relationship between the dependent and independent variable: | 1,373 | 2,049 |
msmarco_v2.1_doc_01_1668156367#5_2446067991 | http://intellspot.com/bivariate-data-examples/ | Bivariate Data Analysis: Examples, Definition, Data Sets Correlation | Bivariate Data: Examples, Definition and Analysis
Bivariate Data: Examples, Definition and Analysis
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| Look at the following bivariate data table. It represents the age and average height of a group of babies and kids. Age
Height (in cms)
3 months
58.5
6 months
64
9 months
68.5
1 years
74
2 years
81.2
3 years
89.1
4 years
95
5 years
102.5
Note: Commonly, bivariate data is stored in a table with two columns. There are 2 types of relationship between the dependent and independent variable: A positive relationship (also called positive correlation) – that means if the independent variable increases, then the dependent variable would also increase and vice versa. The above example about the kids’ age and height is a classical positive relationship. A negative relationship (negative correlation) – when the independent variable increases and the dependent variable decrease and vice versa. Example: when the car age increases, the car price decreases. | 1,659 | 2,514 |
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