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Data visualization with ggplot2 and friends
Statistical Inference For Data Science
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Preface
Introduction
R fundamentals: core data types
Nuts and bolts: Data types
1
Intro to basics
2
Vectors
3
Matrices
4
Factors
5
Data frames
6
Lists
R fundamentals for funtional programming
Relational and logical operators, and conditional statements
7
Loops
8
Functions
9
The apply family
10
Utilities
11
Data visualization with ggplot2 and friends
R fundamentals: functional programming
12
How to Write a Function
13
All About Arguments
14
Return Values and Scope
15
Case Study on Grain Yields
11
Data visualization with ggplot2 and friends
R fundamentals: importing, cleaning and reshaping data
17
Importing data from flat files with utils
18
readr & data.table
19
List the sheets of an Excel file
20
Reproducible Excel work with XLConnect
21
Importing data from databases (Part 1)
22
Importing data from databases (Part 2)
23
Importing data from the web (Part 1)
24
Importing data from the web (Part 2)
25
Importing data from statistical software packages
26
Common Data Problems
27
Categorical and Text Data
28
Advanced Data Problems
29
Record Linkage
30
Tidy Data
31
From Wide to Long and Back
32
Expanding Data
33
Rectangling Data
34
Joining Tables
35
Left and Right Joins
36
Full, Semi, and Anti Joins
37
Case Study: Joins on Stack Overflow Data
The whole game of statistical Inference
38
Statistical Inference with resampling: Bootstrap and Jacknife.
39
Lienar Regression
40
Summary
References
Table of contents
12
Data Visualizations
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11
Data visualization with ggplot2 and friends
Code
12
Data Visualizations
10
Utilities
R fundamentals: functional programming
Source Code
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title:
"Data visualization with ggplot2 and friends"
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# Data Visualizations