Introduction
Gain valuable insights using Tableau and R
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1. Introducing Tableau and R
Compare the strengths of Tableau and R
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How Tableau and R can work together
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Install R on a computer
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Download and install CRAN packages in R
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Run RServe and establish a connection to Tableau
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2. Preparing for Analysis Using Tableau and R
Import data into R
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Create calculations in R
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Import data into Tableau
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Create a visualization in Tableau
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Create a calculated field in Tableau
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3. Creating and Visualizing Linear Regression Models
Describe linear regression and multiple regression models
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Create single- and multiple-variable linear regression models
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Analyze regression variables for significance
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Visualize data for linear regression in Tableau
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Add an R regression model to a Tableau viz
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4. Classifying Data Using Logistic Regression
Describe logistic regression algorithms
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Create a logistic regression model
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Visualize data for logistic regression in Tableau
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Add an R logistic regression model to a Tableau viz
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5. Classifying Data Using Support Vector Machines
Describe support vector machine algorithms
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Create a support vector machine model
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Visualize support vector machine data in Tableau
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Add an R support vector machine model to a Tableau viz
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6. Grouping Data Using Cluster Analysis
Describe cluster analysis
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Do cluster analysis in R
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Troubleshoot cluster analysis in Tableau
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Write cluster data to a CSV file for use in Tableau
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7. Classifying Data Using Random Forests
Describe random forest analysis
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Create a random forest analysis model in R
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Visualize data for random forest analysis in Tableau
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Conclusion
Further resources
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Ex_Files_Tableau_R_Analytics.zip
(464 KB)