Hockey Charts

This is the 11th tutorial in our 50 Chart Series, which focuses on the donut chart.

In this newsletter, we create a multi-line plot that compares top ten players across three seasons worth of data.

This is the ninth article in our 50 Charts series, which covers the Correlation Plot. In this article, we explore how you can use the correlation plot to predict goals.

This tutorial is a part of our 50 Charts series, and this is Chart # 8 – a Density Plot that shows the point production across the four teams in the 4 Nations Face-Off tournament.

This tutorial is a part of our 50 Charts series, and this is Chart # 7 -- a Range Plot that shows the top 20 point-producing enforcers (using the PPE Index) in the NHL.

This is the sixth tutorial in our 50 Charts premium series. In this tutorial, you'll learn how to create a simple Spider chart using player performance data.

This premium tutorial walks through how to create a heatmap to compare the top rookies in the NHL across a set of calculated production metrics.

This is the fourth tutorial in our 50 Charts premium series. In this tutorial, you'll have access to curated datasets with code and how-to instructions on creating a scatter plot in Datawrapper.

This tutorial walks through how to create a choropleth map that plots the total count of players from different cities in North America.

This is the second tutorial in our premium content series: Fifty Charts. In this week's tutorial, we'll walk through how to create a Column chart in Datawrapper that shows the top-scoring enforcers.