Fundamentals of Data Visualization Book Club
Welcome
- Book club meetings
- Pace
1 Introduction
2 Visualizing data: Mapping data onto aesthetics
- SLIDE 1
3 Coordinate systems and axes
4 Color scales
5 Directory of visualizations
6 Visualizing amounts
7 Visualizing distributions: Histograms and density plots
- 7.1 Visualizing a single distribution
- 7.2 Visualizing multiple distributions at the same time
8 Visualizing distributions: Empirical cumulative distribution functions and q-q plots
9 Visualizing many distributions at once
10 Visualizing proportions
11 Visualizing nested proportions
12 Visualizing associations among two or more quantitative variables
- SLIDE 1
13 Visualizing time series and other functions of an independent variable
- SLIDE 1
14 Visualizing trends
15 Visualizing geospatial data
16 Visualizing uncertainty
Bayesian uncertainty
- Visualizing the uncertainty of curve fits
17 The principle of proportional ink
18 Handling overlapping points
- SLIDE 1
19 Common pitfalls of color use
- SLIDE 1
20 Redundant coding
- Redundant coding
Designing legends with redundant coding for scatter plots
Designing legends with redundant coding for line graphs
- Designing figures without legends
- Other examples
21 Multi-panel figures
22 Titles, captions, and tables
- SLIDE 1
23 Balance the data and the context
- SLIDE 1
24 Use larger axis labels
- SLIDE 1
25 Avoid line drawings
- SLIDE 1
26 Don’t go 3D
- SLIDE 1
27 Understanding the most commonly used image file formats
- SLIDE 1
28 Choosing the right visualization software
29 Telling a story and making a point
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Fundamentals of Data Visualization Book Club

Chapter 29 Telling a story and making a point

Learning objectives:

THESE ARE NICE TO HAVE BUT NOT ABSOLUTELY NECESSARY