Tableau for R Users – Explore Tableau and Embed R Code

Course Curriculum

Chapter 1: Introduction and Preparation

Lecture 1: Introduction

Lecture 2: Tableau Professional or Tableau Public?

Lecture 3: Tableau Desktop for Students – Free Version

Lecture 4: Course Datasets – download the data here

Lecture 5: Getting Familiar with Tableau File Types

Lecture 6: Where to Find Help

Lecture 7: Interface Orientation

Chapter 2: First Steps in Tableau

Lecture 1: Connect Tableau to a Data Source

Lecture 2: Setting Up Extract Filters and Aggregations

Lecture 3: Joining Tables

Lecture 4: Building a Visualization

Lecture 5: Planning a Visualization

Lecture 6: Ways of Sorting Your Data

Lecture 7: Totals and Subtotals

Lecture 8: Data Roles – Discrete and Continuous Fields

Lecture 9: Hierarchies

Lecture 10: Changing the Aggregation of Measures

Lecture 11: What Tableau Does Behind the Scenes

Lecture 12: Calculated Fields

Lecture 13: Filtering Visualizations

Lecture 14: Parameters

Lecture 15: Table Calculations – Theory

Lecture 16: Table Calculations in Practice

Chapter 3: Let us Visualize!

Lecture 1: Proportional Chart Types

Lecture 2: Charts for Comparison

Lecture 3: Added Lines

Lecture 4: The Bullet Graph

Lecture 5: Charts for Showing Distribution

Lecture 6: The Histogram

Lecture 7: The Scatterplot

Lecture 8: Time and Project Management

Lecture 9: Maps

Lecture 10: Building Maps

Lecture 11: Data Tables

Lecture 12: The Format Pane

Lecture 13: Marks, Cards and Highlighting

Lecture 14: Tooltips, Labels, Annotations

Lecture 15: Axes

Lecture 16: Marks in Detail

Lecture 17: The Viz in Tooltip Tool

Lecture 18: Examples for Using the Viz in Tooltip

Chapter 4: Tableau Output Features

Lecture 1: Worksheets

Lecture 2: Dashboards

Lecture 3: Stories

Chapter 5: Data Blending and Data Preprocessing in Tableau

Lecture 1: Data Blending and Its Comparison to Joins

Lecture 2: Custom Calculations in a Data Blend

Lecture 3: Blending on Multiple Keys – Another Visual Example

Lecture 4: R Code for Domain Padding

Lecture 5: Domain Padding in R

Lecture 6: Connecting Tables of the Same Structure

Lecture 7: Data Preparation Tools in Tableau

Lecture 8: Splitting and Concatenating Strings

Chapter 6: Functions and Calculations

Lecture 1: Logical Statements

Lecture 2: Date Functions and Calculations

Lecture 3: Comparison of Calculation Types

Lecture 4: Explaining the Level of Detail

Lecture 5: How LOD Expression Can Help the Analysis

Lecture 6: The General Syntax of LOD Expressions

Lecture 7: The INCLUDE Expression

Lecture 8: The EXCLUDE Expression

Lecture 9: The FIXED Expression

Lecture 10: Exercise with LOD Expressions

Lecture 11: Comparing the Results of LOD Expressions

Lecture 12: LOD Expressions and Filters

Chapter 7: Integrating R

Lecture 1: Connecting R and Tableau

Lecture 2: Scripts for R Integration

Lecture 3: R Outlier Detection

Lecture 4: Clustering in Tableau / R

Lecture 5: Pitfalls when integrating R

Lecture 6: Statistical Modeling

Chapter 8: The R Side of Things + Theory on Charting

Lecture 1: Chart Overview 1

Lecture 2: Chart Overview 2

Lecture 3: Statistical Outliers

Lecture 4: R Outliers – Univariate

Lecture 5: R Outliers – Multivariate