This book is a perfect guide for people who are interested to work in data science field or who are already working in this field. Every data scientist has to work with data and data are available in various formats. Most of the time that a data scientist spends is on data preperation. This includes data cleaning and visualization.
This book describes:
- different data visualization techniques which are used by a data scientist
- implemetation detail using Python
- describe when to use which visualization technique
- what the graph tells about the data
- what type of models should be used based on the visual results