The Data Playbook

Contents

1. Preface 3
   1. What we’ll learn 3
   2. Codee xamples 4
   3. Data 4
2. The Essence of Data 1
   1. What exactly is data? 1
   2. Where can we find data? 2
3. Data Collection 3
   1. Backend databases 3
   2. Backend tracking 4
   3. Frontend tracking 4
   4. Atomicity 5
   5. Dates 6
   6. Entities 6
4. Information Theory 7
   1. Let’s start playing 7
   2. Shannon’s entropy 9
   3. Maximal information coefficient 12
5. Statistical functions 18
   1. Analyzing the distribution 18
   2. What do we mean with the mean? 20
6. Univariate, bivariate, and multivariate analysis 24
   1. Another dataset 24
   2. Univariate analysis 24
   3. Bivariate analysis 25
   4. Multivariate analysis 29
7. Causation vs. Correlation 32
   1. Back to Wikipedia 32
   2. Machine learning help 33
   3. A/B testing 33
   4. Causal inference 33
8. Data Visualization 34
   1. Bar charts 34
   2. Line charts 36
   3. Scatter plots 39
   4. Box plots 39
   5. Pie/donut charts 40
9. Machine Learning 42
   1. Supervised learning 42
   2. Unsupervised learning 44
   3. Learnmore 45