Introduction
Include R analyses in your Tableau visualizations
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What you should know
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1. Introducing Tableau and R
Compare the strengths of Tableau and R
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See how R and Tableau 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. Prepare for Analysis with 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. Create and Visualize Linear Regression Models
Linear regression and multiple regression models
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Create a single- and multiple-variable linear regression model in R
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Analyze regression variables for significance in R
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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. Detect and Visualize Outliers
Explore outliers and outlier detection
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Create an outlier detection model in R
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Visualize data for outlier detection in Tableau
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Add an R outlier detection model to a Tableau viz
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5. Define and Visualize Clustering Models
Explore clustering algorithms
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Create a centroid-based clustering model in R
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Visualize clustered data in Tableau
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Add an R clustering model to a Tableau viz
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6. Classify Data Using Logistic Regression
Explore logistic regression algorithms
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Create a logistic regression model in R
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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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7. Classify Data Using Support Vector Machines
Explore support vector machine algorithms
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Create a support vector machine model in R
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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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8. Visualize Random Forest Analysis Data in Tableau
Explore 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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Add a random forest analysis model to a Tableau viz
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Ex_Files_Tableau_R_Analytics.zip
(622 KB)