Chapter 2 Continued -Visualizing_Variability

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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. Dai-Trang 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 Dai-Trang 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 Dai-Trang 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. Dai-Trang 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 Dai-Trang 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 Dai-Trang 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 Dai-Trang 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.

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