I used to work as a market analyst for a couple of years before I switched to data visualization and started to call myself an information designer. Even now I still consider myself a beginner, but based on my experience and background I developed some strategies and routines that can be helpful for someone who has just started in the field.

In this blogpost I would love to share the information that can help you to boost your professional growth at the very-very early stage of your career.

I’ve been saving beautiful pics of DataViz for years before I realised…

Beginners' guide on how to avoid mistakes and don’t be fooled by others’ errors

As an information designer, I try to take data visualization seriously and usually spend much time finding the best way to visualize the numbers accurately and in a way that best supports the story. However, sometimes I get wrong, but the more I learn, the more I analyze and compare my visualizations, the more I see common pitfalls which are actually quite easy to avoid.
So in this article, I’d love to chat about the most common (probably the most dangerous) data visualization mistakes.

I grouped my mistakes into two categories — functional and communication.

Functional mistakes are the worst…

Anastasia Komissarova

Information designer. Thoughts on design and data analysis. Expository writing. Twitter @anakomissarof

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