Storytelling with Data is a must-read, not just for Data Analysts, but even for ML Engineers and Data Scientists. The book highlights the importance of how to present the analysis and draw the attention of the people consuming that information to the right places.
I personally had this as an audiobook and had to refer to the accompanying pdf over and over again, so I recommend buying the kindle or paperback version.
The book goes over some essential things that one should keep in mind while building a visualisation and what aspects to cover to make sure that your point is understood by the person who you’re making the visualisation for and also in the easiest way possible.
Some of the concepts covered in the book are –
- Choosing the right visualisation
- Decluttering your dasboards
- Drawing focus to the right place
- Using colour effectively
The book is example driven and you will find a lot of use cases which drive home the point the author is trying to make.
In conclusion, after reading the book you will see visualisations in a different way than you did before. In case you want to buy the book you can do so here.
ML EXPLAINED 
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