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My main job is related to mobile advertising, and from time to time, I have to work with mobile application datasets.
I decided to make some of the data publicly available for those who want to practice building models or get an idea of some of the data that can be collected from open sources. I believe that open-source datasets are always useful as they allow you to learn and grow. Collecting data is often a difficult and dreary job, and not everyone has the ability to do it.
Have you ever found yourself in life, business or academia, explaining relationships or correlations between data? Chances are, you resorted to a visual aid such as a chart made on your computer or drawn on the back of a napkin when trying to get others to grasp what you are trying to convey.
When doing so, it is important to understand that a chart is always subjective. When you try to visualize data, you are — sometimes unconsciously — deciding what information to highlight and obscure, as various chart types “force” the data into specific data-stories. The charts you use may also exclude certain audiences if they require specialized knowledge (e.g., some charts used in science or finance).