Add a random forest analysis model to a Tableau viz

Contents

• Introduction Introduction

  • Include R analyses in your Tableau visualizations

    29s
  • What you should know

    1m 56s
• 1. Introducing Tableau and R 1. Introducing Tableau and R

  • (Locked)
    Compare the strengths of Tableau and R

    1m 39s
  • (Locked)
    See how R and Tableau can work together

    3m 42s
  • (Locked)
    Install R on a computer

    2m 26s
  • (Locked)
    Download and install CRAN packages in R

    1m 56s
  • (Locked)
    Run Rserve and establish a connection to Tableau

    2m 52s
• 2. Prepare for Analysis with Tableau and R 2. Prepare for Analysis with Tableau and R

  • (Locked)
    Import data into R

    4m 24s
  • (Locked)
    Create calculations in R

    3m 54s
  • (Locked)
    Import data into Tableau

    1m 31s
  • (Locked)
    Create a visualization in Tableau

    3m 13s
  • (Locked)
    Create a calculated field in Tableau

    2m 49s
• 3. Create and Visualize Linear Regression Models 3. Create and Visualize Linear Regression Models

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    Linear regression and multiple regression models

    2m 58s
  • (Locked)
    Create a single- and multiple-variable linear regression model in R

    5m 53s
  • Analyze regression variables for significance in R

    4m 36s
  • (Locked)
    Visualize data for linear regression in Tableau

    2m
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    Add an R regression model to a Tableau viz

    7m 57s
• 4. Detect and Visualize Outliers 4. Detect and Visualize Outliers

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    Explore outliers and outlier detection

    2m 17s
  • (Locked)
    Create an outlier detection model in R

    6m 57s
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    Visualize data for outlier detection in Tableau

    1m 57s
  • Add an R outlier detection model to a Tableau viz

    7m 35s
• 5. Define and Visualize Clustering Models 5. Define and Visualize Clustering Models

  • Explore clustering algorithms

    3m 29s
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    Create a centroid-based clustering model in R

    6m 21s
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    Visualize clustered data in Tableau

    2m 21s
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    Add an R clustering model to a Tableau viz

    6m 16s
• 6. Classify Data Using Logistic Regression 6. Classify Data Using Logistic Regression

  • (Locked)
    Explore logistic regression algorithms

    1m 14s
  • (Locked)
    Create a logistic regression model in R

    7m 30s
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    Visualize data for logistic regression in Tableau

    1m 59s
  • (Locked)
    Add an R logistic regression model to a Tableau viz

    7m 23s
• 7. Classify Data Using Support Vector Machines 7. Classify Data Using Support Vector Machines

  • (Locked)
    Explore support vector machine algorithms

    49s
  • (Locked)
    Create a support vector machine model in R

    8m 39s
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    Visualize support vector machine data in Tableau

    1m 39s
  • (Locked)
    Add an R support vector machine model to a Tableau viz

    7m 21s
• 8. Visualize Random Forest Analysis Data in Tableau 8. Visualize Random Forest Analysis Data in Tableau

  • (Locked)
    Explore random forest analysis

    1m 16s
  • (Locked)
    Create a random forest analysis model in R

    10m 16s
  • (Locked)
    Visualize data for random forest analysis in Tableau

    1m 26s
  • (Locked)
    Add a random forest analysis model to a Tableau viz

    5m 24s
• Conclusion Conclusion

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    Next steps

    1m 22s