Lucas Seidenfaden – Thoughts

This is the first part of the data viz challenge. Gather some data from somewhere and try to visualise it in an interesting way.

Things to consider

The Gestalt Principles offer us a set of rules we can follow that makes it easier differentiate visually what is connected, and was is separate. Elijah Meeks created a nice interactive article in four parts ( I , II , III , IV ) that explains these.

Data Sources

There are plenty of websites that you could easily Google with data to analyse. Here are a couple of my recent favourites.

• Discogs You can download pretty detailed and linked information about songs and artists here. While they are missing metrics for popularity on discogs (such as number of users who saved it to the )
• John Hopkins Covid-19 Data This is a github repo with daily CSV files. Daily CSV Sample

Resources

• ObservableHQ: Observable is a platform to create and showcase mostly data related projects. They have created a new type of in-browser coding experience that executes and renders your code directly leading to a very quite feedback cycle.
• d3 Gallery A showcase of data visualisations made with d3.
• Cluvio: This tool is great for initial exploration of data. Once you’ve got something in a *SQL database you can use Cluvio to quickly write queries and explore the results in different charts. You can use it for free if you only connect to a single database.
• The Datavisualisation Catalogue: Everything else you’ll need is listed here.