Slack applied their data visualizations in three main ways: blog post, dashboard, and presentation. All these forms were pubic-facing and were the only ones I could access.
Overall, there are consistencies in the colours used throughout all applications, BUT, the best practices for visualizing data was lacking. Best practices involves considering aspects such as accessibility, data types, and hierarchy. As I was studying datavisualization style guides, I learned that we need to consider 3 main things.
1) Size of the company: how many employees work here determines how comprehensive the guide should be.
2) The range of dataviz applications: where will the data be applied? Would it be in a product that would be sold?Perhaps it's in reports or presentations.
3) The main target audience the guide is serving: would the guide serve specific departments like design and marketing or would it serve the company more broadly?
Stay tuned for Part 3. I will go over the structure of a dataviz style guide and go over two case studies from Shopify and Adobe.
------------
I am a Data Visualization Designer from Toronto, Canada. On this channel, I am experimenting with various ideas for dataviz. Check out my work on my website.
Website: janezhang.ca
Twitter: [ Ссылка ]
Instagram: [ Ссылка ]
Sign up for my newsletter: [ Ссылка ]
