http://www.gabriel-berardi.com/tags/data-visualization/Recent content in Data-Visualization on Gabriel BerardiHugoen-USSun, 01 Nov 2020 00:00:00 +0000http://www.gabriel-berardi.com/blog/data/2020-11-01-where-to-eat-in-munich/Sun, 01 Nov 2020 00:00:00 +0000http://www.gabriel-berardi.com/blog/data/2020-11-01-where-to-eat-in-munich/<p>I recently moved to a new city - Munich! I live in a very calm area, but soon realized that the neighborhood is not really the best when it comes to eating outside. So, I decided to try to analyze review data from the web to find out which area is most compelling for me and other foodies. I scraped online reviews, cleaned the data and then visualized it on a map, showing the average rating of restaurants in different areas in Munich.</p>http://www.gabriel-berardi.com/blog/data/2020-05-01-racing-bar-chart/Fri, 01 May 2020 00:00:00 +0000http://www.gabriel-berardi.com/blog/data/2020-05-01-racing-bar-chart/<p>After reading <a href="https://towardsdatascience.com/bar-chart-race-in-python-with-matplotlib-8e687a5c8a41">this article</a> from Pratap Vardhan with great interest, I wanted to build my own version of a Bar Chart Race that is smoother and a bit more beautiful. The biggest improvement is the interpolation (or augmentation) of the available data points in order to make the animation smoother.</p> <p>Here is the Bar Chart Race we are going to build in this article:</p> <p> <a href="images/racing-bar-chart.gif" data-fancybox="post-images" data-caption="racing bar chart we are going to create in this post"> <img src="images/racing-bar-chart.gif" alt="racing bar chart we are going to create in this post" /> </a> </p>