R Programming and Tableau Integration

RPROG-110 (4 Days)

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R Programming and Tableau Overview

Accelebrate's R Programming and Tableau Integration training teaches attendees how to use powerful R statistical programming techniques combined with Tableau's powerful ability to visualize data. Students learn how to gather data from a variety of sources, to analyze that data using R, and to visualize that data using Tableau.

Location and Pricing

Most Accelebrate courses are delivered as private, customized, on-site training at our clients' locations worldwide for groups of 3 or more attendees and are custom tailored to their specific needs. Please visit our client list to see organizations for whom we have delivered private in-house training. These courses can also be delivered as live, private online classes for groups that are geographically dispersed or wish to save on the instructor's or students' travel expenses. To receive a customized proposal and price quote for private training at your site or online, please contact us.

In addition, some courses are available as live, online classes for individuals. See a schedule of online courses.

R Programming and Tableau Objectives

All students will learn how to:

  • Master the use of the R interactive environment
  • Expand R by installing R packages
  • Explore and understand how to use the R documentation
  • Read Structured Data into R from various sources
  • Understand the different data types in R
  • Understand the different data structures in R
  • Understand how to use dates in R
  • Use R for mathematical operations
  • Use of vectorized calculations
  • Write user-defined R functions
  • Use control statements
  • Write Loop constructs in R
  • Use Apply to iterate functions across data
  • Reshape data to support different analyses
  • Understand split-apply-combine (group-wise operations) in R
  • Deal with missing data
  • Manipulate strings in R
  • Understand the main Tableau interface
  • Build visualizations
  • Build dashboards
  • Reshape and format data
  • Show trends or change over time
  • Use maps and spatial analysis
  • Learn best practices and analytical techniques using Tableau
  • Integrate R code into Tableau visualizations

R Programming and Tableau Outline

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Overview
  • History of R
  • Advantages and disadvantages
  • Downloading and installing
  • How to find documentation
Introduction
  • Using the R console
  • Getting help
  • Learning about the environment
  • Writing and executing scripts
  • Object-oriented programming
  • Introduction to vectorized calculations
  • Introduction to data frames
  • Installing packages
  • Working directory
  • Saving your work
Variable Types and Data Structures
  • Variables and assignment
  • Data types
  • Data structures
  • Indexing, subsetting
  • Assigning new values
  • Viewing data and summaries
  • Naming conventions
  • Objects
Getting Data into the R Environment
  • Built-in data
  • Reading data from structured text files
  • Reading data using ODBC
Dataframe Manipulation with dplyr
  • Renaming columns
  • Adding new columns
  • Binning data (continuous to categorical)
  • Combining categorical values
  • Transforming variables
  • Handling missing data
  • Long to wide and back
  • Merging datasets together
  • Stacking datasets together (concatenation)
Handling Dates in R
  • Date and date-time classes in R
  • Formatting dates for modeling
Control Flow
  • Truth testing
  • Branching
  • Looping
Functions in Depth
  • Parameters
  • Return values
  • Variable scope
  • Exception handling
Applying Functions Across Dimensions
  • Sapply, lapply, apply
Exploratory Data Analysis (Descriptive Statistics)
  • Continuous data
  • Categorical data
  • Group by calculations with dplyr
  • Melting and casting data
Introduction to Data Analysis and Visual Analytics
Simple Data Connections and the Data Connection Interface
Understanding the Main Tableau Interface
Building Simple Visualizations
Saving Options
Understanding Utilizing “Show Me”
Dimensions vs. Measures and How They Affect a Viz
Continuous vs. Discrete Variables
Basic Dates
Basic Aggregations
  • Hierarchies
  • Sorting
  • Groups
Formatting
  • Color
  • Size
  • Labels
  • Detail
  • Formatting Individual Elements vs. the Entire Worksheet or Workbook
Building Your First Dashboard
Labeling, Annotations, Tooltips, and Data Highlighting
Quick Filters
Publishing and Sharing
Connecting to Different Databases and Data Formats
Live vs. Extract Connections – The Basics
Reshaping and Formatting Data for Tableau
Managing Multiple Data Connections in a Single Workbook
Cross Database Joins and Data Blending
Cross Database Filters
Understanding the Navigation Menu
Showing Trends and Change Over Time
  • Trends and Trend Lines
  • Rate of Change and Moving Average
Part to Whole and Ranking Analysis
  • The Standard Bar Chart
  • The Stacked Bar Chart
  • The Side by Side Bar Chart
  • Pie Charts
  • Using Index and Ranking Calculations
Creating Dual Axis and Combo Charts
Building Data Tables
Totals and Subtotals
Using Maps and Spatial Analysis
Showing Relationships Between Numbers
Scatter Plots
Trend Lines and Statistical Features
Basic Reference Lines
Distributions
  • Heatmaps and Highlight Tables
  • Breaking Data into Numerical Ranges or Buckets
  • Histograms
Motion Charts
Calculated Fields Overview
Aggregate Calculations and Ratios
Logical Calculations
Date Calculations
Parameters
Using Actions to Create Interactive Dashboards
Conclusion
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Lecture percentage

50%

Lecture/Demo

Lab percentage

50%

Lab

Course Number:

RPROG-110

Duration:

4 Days

Prerequisites:

Participants should have a basic understanding of relational database concepts, including tables and joins. Some prior programming experience would be helpful.

Training Materials:

All attendees receive courseware covering the topics in the class.

Software Requirements:

  • R 3.4.x or later with console
  • IDE or text editor of your choice (RStudio recommended)
  • Tableau Desktop
  • Microsoft Excel 2010 or later (2013 or later recommended) with the latest update applied
  • Internet access
  • Related data and lab files that Accelebrate would provide

Contact Us:

Accelebrate’s training classes are available for private groups of 3 or more people at your site or online anywhere worldwide.

Don't settle for a "one size fits all" public class! Have Accelebrate deliver exactly the training you want, privately at your site or online, for less than the cost of a public class.

For pricing and to learn more, please contact us.

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International:
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