A simple way to explain the main steps of data exploration.

Explanation

A while ago I started to study data analysis, and after some learning exercises, I desired to make my own data exploratory project. I thought about the topic and decided that I don’t want to use common and generally available data resources such as Kaggle or other popular platforms with datasets. I wanted to use something personal and interesting to me. And my choice fell on data from the Google Fit Application I installed on my phone several months ago to push myself to do some sports activities.

So I had two purposes in mind when I started my project. The first was to go through the whole process of data exploration from the beginning to the end using the main concepts of data analysis: cleaning, exploring, and visualization. And the second was to evaluate my progress in everyday sports activities: do I become more sportive, how much time I invest in it, and what is the best kind of sport for me?

These two goals are really interesting and important for me, and now I want to share with you the results of my small research.

#python #data-visualization #sports #data-analysis #pandas