Graphing Data Effectively and Avoiding Common Pitfalls

Course code: ADRP

The human mind is geared to look at patterns and attach immediate explanation to the patterns, consciously or subconsciously, and sometimes that conclusion or explanation might not be apt. This course discusses the common fallacies and paradoxes in statistics and data analysis, as well as common pitfalls in data visualization. The course also teaches general guidelines that help you avoid those pitfalls to ensure a fair and accurate representation of facts.

1 200 EUR

1 452 EUR including VAT

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Starting date: Upon request

Type: Upon request

Course duration: 14 hours

Language: en

Price without VAT: 1 200 EUR

	Starting date	Place	Type	Course duration	Language	Price without VAT
	Upon request		Upon request	14 hours	en	1 200 EUR	Register
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Target group

Visual analysts, report or dashboard designers, business intelligence consultants, business analysts

Course structure

Introduction

Introduction to graphicacy.
Introduction to SAS Visual Analytics.
Introduction to data representation pitfalls.

Common Data Misinterpretations and Paradoxes

Common data misinterpretations.
Paradoxes in statistics.
Spurious correlations.

Common Visual Misrepresentations

Common data visualization pitfalls.
Measuring distortion in graphs.
Reasons for misleading visualizations and consequences.

Common Remedies for Pitfalls in Visualization

Avoid inappropriate choice of colors.
Avoid inappropriate choice of graphical objects.
Avoid overuse of custom or complex graphs.
Review case study: Tackling visual clutter.

Prerequisites

Before attending this course, you should be able to create simple graphs such as bar charts, pie charts, and scatter plots using any software. Familiarity with SAS Visual Analytics is highly recommended but not mandatory.

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