Unformatted text preview: arison. Ask Why. Be skeptical.
Filter, zoom, combine, compare, manipuate, think ... “Visual analysis at
the speed of thought”
Unwilling to accept the easy answer or to close one’s mind to the
possibility of something diﬀerent. Take time. Find good tools. Learn to
use the tools. DaiTrang Le
Direct dynamic interaction with the Chapter 2 (continued) to visualize dataPicturing Varia
data will be best Data Visualization  What is Data Visualization?
Displaying Categorical Data
Displaying Categorical Data
Describing Numerical Data
Misleading Graphs Interpreting Graphs
Review Chapter 2 Creating Plots Outline
1 What is Data Visualization? 2 Displaying Categorical Data
Summarizing Important Features from the Plots 3 Displaying Categorical Data
Creating Plots 4 Describing Numerical Data
Creating Plots  Looking at the Distribution of the Data 5 Misleading Graphs Interpreting Graphs 6 Review Chapter 2
DaiTrang Le Chapter 2 (continued) Data Visualization  Picturing Varia What is Data Visualization?
Displaying Categorical Data
Displaying Categorical Data
Describing Numerical Data
Misleading Graphs Interpreting Graphs
Review Chapter 2 Creating Plots Displaying Categorical Data DaiTrang Le Chapter 2 (continued) Data Visualization  Picturing Varia What is Data Visualization?
Displaying Categorical Data
Displaying Categorical Data
Describing Numerical Data
Misleading Graphs Interpreting Graphs
Review Chapter 2 Creating Plots Mode The mode is the category that occurs with the highest
frequency.
The mode is thought of as the typical outcome.
If there is a close tie between two categories for most
frequently occurring, the distribution is called bimodal.
If more than two categories have roughly the tallest bars, the
distribution is called multimodal. DaiTrang Le Chapter 2 (continued) Data Visualization  Picturing Varia What is Data Visualization?
Displaying Categorical Data
Displaying Categorical Data
Describing Numerical Data
Misleading Graphs Interpreting Graphs
Review Chapter 2 DaiTrang Le Creating Plots Chapter 2 (continued) Data Visualization  Picturing Varia What is Data Visualization?
Displaying Categorical Data
Displaying Categorical Data
Describing Numerical Data
Misleading Graphs Interpreting Graphs
Review Chapter 2 DaiTrang Le Creating Plots Chapter 2 (continued) Data Visualization  Picturing Varia What is Data Visualization?
Displaying Categorical Data
Displaying Categorical Data
Describing Numerical Data
Misleading Graphs Interpreting Graphs
Review Chapter 2 DaiTrang Le Creating Plots Chapter 2 (continued) Data Visualization  Picturing Varia What is Data Visualization?
Displaying Categorical Data
Displaying Categorical Data
Describing Numerical Data
Misleading Graphs Interpreting Graphs
Review Chapter 2 Creating Plots Variability If the distribution has a lot of diversity (many observations in
many diﬀerent categories), then variability is high.
If the distribution has only a little diversity (many of the
observations fall into the same category), then variability is
low.
Caution: Variability...
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This document was uploaded on 03/03/2014.
 Spring '14

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