Interactive Data Visualization with Python: Present your data as an effective and compelling story, 2nd Edition

I'm fairly new to Python. I bought this book to learn data visualization techniques with Python. It's well laid out with step by step instructions and explanations. There were a few sections that I couldn't get to work (Bokeh and Altair) but for the most part everything works and is correct. The Bokeh and Altair examples don't work for me but I suspect it's something to do with my setup (versions). I tried the author's downloaded code with the same result in case I had some weird syntax problem that I wasn't able to figure out. The other issue is more a problem with the Kindle version of the book. Depending on where it splits the page, it can make indentations hard to spot. But that's not really the fault of the author. Just something to be aware of.Using the techniques in the book, I was able to take some US COVID data and plot out maps with different visualizations (infections by county, infections per capita by county, time series tracking of growth by county). It was pretty cool to see it match up the professional sites. I did a per capita plot that showed a huge bubble in Tennessee, which I thought might have been a defect in the data. I googled the county and it turned out the data was correct due to a prison located in a sparse county which resulted in 1 in 9 people showing as infected.

Ich mag das Buch, schaue immer wieder rein, wenn ich schnell mal paar Plots mit Seaborn, Bokeh, Plotly oder Altair erstellen möchte. Mich selber hat am Anfang vor allem die klare Beschreibung der Clustermaps von Seaborn beeindruckt, gibt es zwar auch im Internet, aber da wird man meistens von Details regelrecht erschlagen. Ich mag auch das Einführungskapitel zu Pandas, da ich bei der Bearbeitung/Umwandlung von Data-Frames immer wieder irgendwo was nachschlagen muss. Meiner Meinung nach ist es eine wirklich gute Mischung aus Lehrbuch und Nachschlagewerk.

This book is only good for complete beginners who have little or no experience in data visualizations with Python. The book covers basic usage of matplotlib, altair, bokeh and plotly but the topics covered are too simple. You could easily get better explanations or examples by searching online.If you have some or intermediate knowledge in data visualization, you could learn much more by just searching for tutorials or example gallery of those packages online.