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# Data Science Visualization - Module 2

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106 Exercises

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## Course Description

Find the complete course on edx.org here.

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1. 1

### Data Types

Free

In this course we introduce you to the basics of various data types.

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Exercise 1. Variable names
100 xp
Exercise 2. Variable type
50 xp
Exercise 3. Numerical values
100 xp
Exercise 4. Tables
100 xp
Exercise 5. Indicator variables
100 xp
Exercise 6. Data types - heights
50 xp
End of Assessment: Data Types
50 xp
2. 2

### Quantiles, Percentiles, and Boxplots

Free

Quantile-Quantile Plots, Percentiles, Boxplots, Distribution of Female Heights

3. 5

### Robust Summaries with Outliers

Free

dplyr, The Dot Placeholder, Group By, Sorting Data Tables

4. 7

### Summarizing with dplyr

Free

We will practice our dplyr skills by will be working with data from the survey collected by the United States National Center for Health Statistics (NCHS)

5. 9

### Data Visualization Principles - Part 1

Free

Show the Data, Ease Comparisons - Use Common Axes, Consider Transformations, Ease Comparisons - Compared Visual Cues Should Be Adjacent

6. 10

### Data Visualization Principles - Part 2

Free

Part 2 of data visualization principles exercises

7. 11

### Data Visualization Principles - Part 3

Free

Part 3 of data visualization principles exercises

Collaborators

Weston Stearns

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