Recently, daily browsing technology platform, accidentally found a very awesome visual learning website. The author has recommended some before, but I think this one pales in comparison.

All right, without further ado, I can’t wait to share this artifact. \

The site is called Atlas, and it was created by a group of data visualization enthusiasts from various companies who put together the site in their spare time, which I admire.

So let’s see what it looks like.

1. Atlas Homepage

tuzhidian.com/

First of all, the design of this home page is my favorite style. It is simple and clear. At first glance, it makes people feel very refreshing, worthy of being made by a professional front-end visualization engineer.

As you can see, the website lists a total of 22 visualizations. Tongo took a closer look and found that these covered most of our daily needs.

Above the graph is the item for filtering the visual graph according to different dimensions, including common, shape, graph class and function.

If you have an idea or a vague concept in your mind, and do not know what image is appropriate, you can use the filter function to select. Of course, if you’re familiar with a pattern, you can just find it and click on it.

2. Visual learning

Then I will focus on the following Canon.

First of all, each graph is introduced in a certain order of contents, including:

  • Introduction of the chart
  • The chart properties
  • The chart,
  • Similar to the chart
  • Design case
  • Usage scenarios
  • tutorial
  • The special tools
  • Learning resources
  • reference
  • contributors

In order to better show you, let’s choose a Sanjeto to introduce. This is generally known for data analysis or visualization. It is a graph of traffic distribution and is commonly used in specific business analysis. \

Introduction of the chart

The first is a basic introduction to sankey diagrams. \

Chart properties/chart details

Then it explains the category, function and element composition of the chart, such as Sankey chart contains flow, node, edge three basic elements. The small example below is already clear.

Applicable scenario

Here it will be mentioned what situations sankey diagrams are not suitable for, for example:

  • Unequal widths of edges are not suitable because sankey diagrams follow the principle of conservation of capacity
  • Too many variables are not suitable, it is suggested to classify first

Similar to the chart

Similar graphs are classified according to different dimensions. For example, funnel plot is similar to Sankey plot in function, both of which have the function of flow transformation, but more similar to parallel coordinate system in appearance.

**** Design case

The tutorial lists many examples of graphic design to successful data analysts from all over the world. Each graphic tutorial has such carefully selected cases, after all, to understand the combination of a graphic and data from the practical application can have a deeper understanding.

Usage scenarios

Also from the perspective of application recommended some other people to use the scene, of course, it is important to understand this graphic logic, understand can be deduced by analogy.

tutorial

In addition, the author made all his tutorials open source, including BI tools, code base and design tools. For example, IN the code base, I looked at Matplotlib and Pyecharts, which are Python visualization packages. BI uses Tableau, PowerBI and so on.

3. Summary

This clever little site is perfect for beginners to learn, especially to understand how data is presented visually and what visualizations are commonly used, which is very helpful for analysis.

The downside is that it’s just a text tutorial, and you can’t create graphics or actual operations online, but it’s pretty good. Visualization tools for online mapping and I’ll introduce one next time

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