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Data Analysis

Data Visualization Best Practices

This course covers data visualization techniques and best practices used in gaming to help you create impactful insights with accuracy and clarity.

Single Session
2 hr Workshop

 

Next Course:     
Every Two Weeks

What You'll Learn

Data Visualization Goals: The main purpose of data visualization. The process to utilize to curate useful and effective charts. How to share gaming insights. 


Which Chart Is Best For Which Data: Which type of chart is best suited to which data. Categorical, original, nominal and continuous data types. When to use a line chart vs. a table. When to use a bar chart. What type of bar chart, horizontal vs. vertical, is best for data visualization.  


Data Visualization Best Practices: How colors can impact data visualizations. Understand the human perception of area, length and distance. How our perceptions can impact the charts and graphs we use to communicate analysis. 


Chart Design & Obfuscations: Understand how charts can be used to obfuscate information. Examples of obfuscation tactics. Examples of deliberate, misleading charts to misrepresent understanding. 


Group Reporting/Dashboard Exercise: How to create visualizations using common tools like spreadsheets and Tableau. How to create simple dashboards and reports as examples of visualization from our game data.

Success strategies

Data Visualization Best Practices

This course covers data visualization techniques and best practices used in gaming to help you create impactful insights with accuracy and clarity.

Single Session
2 hr Workshop

Next Course:

Every Two Weeks

This Course Includes

  • 2-hour Instructor-led Course/Workshop 

  • In-Class Group Discussion And Exercise

  • Downloadable Slide Presentation

  • Downloadable Data Used In The Class

  • Questions & Answers Session

Course Content

1. The Goals Of Data Visualization

  • The Purpose Of Data Visualization

  • Process For Visual Construction

  • Best Practices: Tables & Charts

  • Example Of Poor Visualization

3. Data Obfuscation

  • Omitting The Baseline

  • Mis-Representation

  • Cherry Picking

  • Visualization Guidelines

2. Which Chart & Why?

  • Categorical Data

  • Ordinal, Nominal, Interval

  • Common Pitfalls

  • Best Practices: Colors

4. Workshop Example

  • Example Walkthrough

  • Tableau Workshop

5. Question & Answer Session



Requirements

  • No prior experience is required for this course/workshop. 

  • Learners taking this course should sign up for a free Tableau account (details provided) if they wish to work through the in-class exercise with the instructor.

Description

This course will give you an overview of data visualization best practices so you can craft impactful data insights in a way that is both accurate and easy to understand.


This course provides insight into which charts to use for varying situations as well as practical guidelines to make use of the best colors, styles and chart types. 

This course also covers common pitfalls when displaying data and how obfuscation and poorly designed visuals can be used to mislead audiences, hide insights and challenge the meaning and inference in analysis results. 


Finally, this course will include a hands-on group exercise and a Tableau workshop that works through a few examples of gaming data to create simple but effective reports and dashboards.


Take this course as part of the Masterclass: Data Visualization & Storytelling, which includes the 2-hour Data Storytelling Best Practices course and workshop. Selecting the Masterclass: Data Visualization & Storytelling gives a bundled discount for 4 hours of data presentation skills and practice.


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