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Google Chrome is a cross-platform web browser developed by Google. We will use Google Chrome to help debug and test our Tableau Extension.

The final step is choose and sketch out our bespoke data visualisation; this will give us our basis for our Tableau design and build using the techniques we have learned so far.

Hello, my name is Toan Hoang, and I am going to be your instructor for this course on Creating Bespoke Data Visualisations in Tableau. So let me introduce myself.

We will now add our second layer to our Sunburst which will complete our bespoke data visualisation from a functional point of view. Once we have our second layer, we can add additional layers through manipulating our data source.

ESLint is a static code analysis tool for identifying problematic patterns found in JavaScript code. Rules in ESLint are configurable, and customized rules can be defined and loaded. ESLint covers both code quality and coding style issues. This will help reduce bugs as help ensure the quality of our code.

In this section, we will talk about finding inspiration, sketching and designing your Bespoke Data Visualisations in Tableau.

In this video, we will be creating a Radial Bar Chart in Tableau. We will be using Data Densification and leveraging various Table Calculations in our bespoke data visualisation.

YARN is a package manager that we will use to obtain our external libraries. Yarn caches every package it downloads so it never needs to download it again. It also parallelizes operations to maximize resource utilization so install times are faster than ever.

This course does require a basic understanding of programming; if you are new to programming or need a refresher course, I would highly recommend spending time to go through the following tutorials

Node.js is an open-source, cross-platform, JavaScript run time environment that executes JavaScript code outside of a browser. Node.js comes with the Node Package Manager (NPM) that helps us install the required software.