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Tableau and R for Analytics Projects

Video Introducing this tutorial


Introduction
Include R analyses in your Tableau visualizations
What you should know

1. Introducing Tableau and R
Compare the strengths of Tableau and R
See how R and Tableau can work together
Install R on a computer
Download and install CRAN packages in R
Run Rserve and establish a connection to Tableau

2. Prepare for Analysis with Tableau and R
Import data into R
Create calculations in R
Import data into Tableau
Create a visualization in Tableau
Create a calculated field in Tableau

3. Create and Visualize Linear Regression Models
Linear regression and multiple regression models
Create a single- and multiple-variable linear regression model in R
Analyze regression variables for significance in R
Visualize data for linear regression in Tableau
Add an R regression model to a Tableau viz

4. Detect and Visualize Outliers
Explore outliers and outlier detection
Create an outlier detection model in R
Visualize data for outlier detection in Tableau
Add an R outlier detection model to a Tableau viz

5. Define and Visualize Clustering Models
Explore clustering algorithms
Create a centroid-based clustering model in R
Visualize clustered data in Tableau
Add an R clustering model to a Tableau viz

6. Classify Data Using Logistic Regression
Explore logistic regression algorithms
Create a logistic regression model in R
Visualize data for logistic regression in Tableau
Add an R logistic regression model to a Tableau viz

7. Classify Data Using Support Vector Machines
Explore support vector machine algorithms
Create a support vector machine model in R
Visualize support vector machine data in Tableau
Add an R support vector machine model to a Tableau viz

8. Visualize Random Forest Analysis Data in Tableau
Explore random forest analysis
Create a random forest analysis model in R
Visualize data for random forest analysis in Tableau
Add a random forest analysis model to a Tableau viz

Conclusion
Next steps