Preface
1
How to organize a project folder
2
How to read data into
R
3
How to explore a “new” data set
4
How to deal with NA’s
5
How to deal with empty spaces
5.1
Empty spaces in variable names
5.2
Empty spaces in variable values
6
How to do simple re-coding
7
How to create contingency tables
8
How to tally
9
How to join two data tables
10
How to plot data
10.1
Creating basic bar charts
10.2
Creating side-by-side and stacked bar charts
10.3
Creating back-to-back bar charts
10.4
Creating Pareto charts
10.5
Creating lollipop charts
10.6
Creating treemaps
10.7
Creating scatter plots
10.8
Creating side-by-side box plots
10.9
Creating grid plots
10.10
Creating a simple PCA plot
10.11
Creating time series plots
10.12
Showing pop-up’s
10.13
Putting plots in one panel
11
How to create a dynamic report
12
How to learn Shiny
13
How to make a simple data dictionary
14
How to check code efficiency
15
How to put
n
things in
m
boxes
16
How to restore lost zeros
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R tips: 16 HOWTO’s with examples for data analysts
R tips: 16 HOWTO’s with examples for data analysts
Lingyun Zhang
2017-08-27
