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Chapter 5: Data Management

Learning Objectives

•Ask questions from data for complex, real-world scenarios.

•Access and explore variables in a dataset of tables.

•Filter and order observations to organize text and quantitative variables in tables.

•Summarize data by creating new variables and generating basic descriptive statistics.

•Choose appropriate table-merging strategies.

Google Drive For Chapter 5 Review Questions

Google Drive For Chapter 5 "Try It Yourself" Python Notebooks

Google Drive For Chapter 5 Data Sets

Section 5.1: Asking Questions of Data

Section 5.2: Selecting Variables

Try It Yourself: Select Variables

Try It Yourself: Select Distinct Values of Variables

Section 5.3: Filtering and Ordering Observations

Try It Yourself: Filter Text Variables

Try It Yourself: Filter with the Not-Equal Operator

Try It Yourself: Filter Using a Wildcard

Try It Yourself: Filter a Quantitative Variable

Try It Yourself: Filter Missing Values

Try It Yourself: Filter Multiple Conditions Simultaneously

Try It Yourself: Order by a Variable

Section 5.4: Summarizing and Structuring Data

Try It Yourself: Summarize a Quantitative Variable

Try It Yourself: Summarize a Quantitative Variable by a Categorical Variable

Try It Yourself: Create a New Variable

Section 5.5: Merging Tables

Try It Yourself: Merge Two Tables

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