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Optimizely-Generated Audience for Backwards Compatibility

data-playbook

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


This book is aimed at sharing best practices we use when working with data at Auth0.
In this book, you'll find various best practices and examples that will help you be as effective as possible when working with data.

Data Playbook

eBook The Data Playbook

#### Releases
- The essence of data.
- Properly collecting data.
- Information theory and why it is important.
- Statistical functions.
- Univariate/Bivariate/multivariate analysis.
- Data visualization, and more!