Data Analysis Handbook
personal website
github
PART 5. DATA VISUALIZATIONS
14
Visualization Basics
Preface
PART 1. ABOUT DATA
1
What is Data Analysis?
2
How to Think About Data
3
Data Storage
4
How Programs Handle Data
PART 2. PROGRAMMING IN R
5
Intro to R
6
R API’s
PART 3. PROGRAMMING IN PYTHON
7
Introduction to Python
8
Python API’s
PART 4. SQL
9
SQL
10
Advanced SQL
11
Data Collection
12
NoSQL Databases
13
Extract, Transform, and Load
PART 5. DATA VISUALIZATIONS
14
Visualization Basics
15
Colors
16
Interactive Visualizations
17
Advanced Interactive Visualizations
18
Tableau
PART 6. MACHINE LEARNING
19
Unsupervised Learning
20
Supervised Learning
21
Neural Networks and Deep Learning
PART 8. BIG DATA
22
Big Data
References
14
Visualization Basics
Code
13
Extract, Transform, and Load
15
Colors
Source Code
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