Data Visualization with Python: Create an impact with meaningful data insights using interactive and engaging visuals

by Mario Döbler, Tim Größmann

Data Visualization with Python

368 pages, Paperback

Published February 28, 2019

Reviews

[Marcos Malumbres · Rating 4 out of 5]

Motivated by the fantastic visualization possibilities of Python? This book will give you a quick visual walk through many of these possibilities including matplotlib, seaborn, widgets, bokeh. Want to map COVID-19 data? No problem, Geoplotlib is also included...

Obviously it is difficult to include the proper analysis and explanation of all these tools in a book, so the authors assume a decent knowledge of Python and Pandas and don’t spend too much time explaining the code in detail. In addition there are a few typos in the code... so, if it does not work after typing it, you may go through the exercise of finding the error, fixing it, and it will work.

Overall, a good introduction of Python libraries for data visualization, with numerous visual examples, that you may further explore using other resources. A number of long and relatively complicated exercises (mostly due to data manipulation than plotting) are also include if you want to spend additional time on them!

[Jin Shusong · Rating 5 out of 5]

I like this book. This is not a python data visualization handbook, but it gives you a framework for data visualization. From this book, you will learn which plot is suitable for your purpose. This book also shows how to plot those fundamental plots. It will probably cover the 90% of your applications.