Preface

The best data is the data that we can see and understand. As developers, we want to create and build the most comprehensive and understandable visualizations. It is not always simple; we need to find the data, read it, clean it, massage it, and then use the right tool to visualize it. This book explains the process of how to read, clean, and visualize the data into information with straight and simple (and not so simple) recipes.

How to read local data, remote data, CSV, JSON, and data from relational databases are all explained in this book.

Some simple plots can be plotted with a simple one-liner in Python using matplotlib, but doing more advanced charting requires knowledge of more than just Python. We need to understand the information theory and human perception aesthetics to produce the most appealing visualizations.

This book will explain some practices behind plotting with matplotlib in Python, statistics used, and usage examples for different charting features we should use in an optimal way.

This book is written and the code is developed on Ubuntu 12.03 using Python 2.7, IPython 0.13.2, virtualenv 1.9.1, matplotlib 1.2.1, NumPy 1.7.1, and SciPy 0.11.0.