English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 2h 26m | 338 MB
Discover how to create informative and visually appealing data visualizations using ggplot2, the leading visualization package for R. In this course, Mike Chapple shows how to work with ggplot2 to create basic visualizations, how to beautify those visualizations by applying different aesthetics, and how to visualize data with maps. Throughout the course, Mike also covers key concepts such as the grammar of graphics and how to apply different geometries to visualize data. To wrap up, he shares a case study that lends a practical context to the concepts covered in the course.
Topics include:
- Building visualizations
- Applying different geometries to visualize data
- Applying aesthetic mappings to geometries
- Beautifying visualizations to prepare them for publication
- Visualizing data with maps
- Annotating a visualization
- Plotting points on a map
- Creating a choropleth map
Table of Contents
Introduction
1 Welcome
2 What you need to know
3 Using the exercise files
Introducing ggplot2
4 Introducing ggplot2
5 The grammar of graphics
6 Loading data sets with read csv
7 Build your first visualization
Geometry Types and Aesthetics
8 Scatterplots
9 Lines and smoothers
10 Bars and columns
11 Histograms
12 Box plots
Beautifying Your Visualizations
13 Modifying the background
14 Working with axes
15 Changing scales
16 Cleaning up legends
17 Annotating your visualization
18 Adding titles
19 Using themes
Geospatial Visualizations
20 Visualizing data with maps
21 Obtaining a Google Maps API key
22 Working with maps
23 Geocoding points
24 Changing map types
25 Plotting points on a map
26 Building a map manually
27 Creating a choropleth map
Case Study – Colleges and Universities
28 Challenge assignment
29 Mapping colleges and universities
30 Adding institution size and control
31 Zooming in on California
32 Adding city names
33 Cleaning the legends
34 Adding a title and subtitle
Conclusion
35 What s next
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