B22. Sketching your Design

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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.

B05. Using Bespoke Data Visualisations

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There is some contention and disagreements about the use of bespoke data visualisations, and we will discuss the pros and cons of bespoke data visualisations, when to use them, and more importantly, when not to use them.

E14. Prettier (Opinionated Code Formatter)

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Prettier is an opinionated code formatter. It enforces a consistent style by parsing your code and re-printing it with its own rules that take the maximum line length into account, wrapping code when necessary. This will help keep our code looking nice and save the tedious work of formatting.

E15. ESLint (Pluggable JavaScript Linter)

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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.

B17. Additional Bespoke Data Visualizations

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We have now learned quite a lot and practice does make perfect. Please follow the links below and complete the various exercises to reinforce your knowledge and learned techniques.

B14. Drawing with Polygons / Circles

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In this lecture, we will be looking at using Data Densification, Table Calculations and the Polygon Mark Type to draw shapes. We will combine all our techniques to draw a few fun shapes and will be building up to drawing more complex objects.

B10. Explore Additional Table Calculations

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Using the Superstore Data Set, I would also like you to take some time to explore some additional Table Calculations in Tableau

E13. Gulp (The Streaming Build Tool)

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Gulp is an open-source JavaScript toolkit used as a streaming build system in front-end web development. We will leverage Gulp to automate our various build tasks such as Obfuscation, Minifying our files, SCSS to CSS compilation.

B25. Preparing your Data

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We will prepare our data source for our Sunburst chart by taking into account the Data Densification technique. We will also go into how we can make this as flexible as possible, especially as we may want to use this in our production dashboards.

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