065 - Data Science Visualisation with Oz - Practicalli Clojure смотреть онлайн

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Continuing with data science this week, looking more in-depth about Oz, a visualization library for data. Oz is a very nice library to work with and I will try and cover several of its features
https://github.com/metasoarous/oz

I am attempting to build a data science visualisation dashboard, based on the data I find for the UK. https://github.com/practicalli/covid19-dashboard/

I will discuss how I got the data and walk through code that transforms that data into the right shape and the code to visualize the data in a meaningful way.

The project uses Clojure CLI and deps.edn. If you need to install this, take a look at:
https://www.youtube.com/watch?v=C7dIr-AItHo&list=PLpr9V-R8ZxiB3u90ga_SdxYsF2k2JTag1&index=2&t=357s
Or read the article: https://practicalli.github.io/blog/posts/clojure-cli-and-tools-deps/

Example deps.edn configuration and aliases can be found at:
https://github.com/practicalli/deps-edn-examples

 I'll also include a quick look at Oz at the end of the broadcast on Saturday, using the example project at https://github.com/appliedsciencestudio/covid19-clj-viz It will create bar charts and geographical maps to visualise the data. The project is a few hundred lines of code, so I will just pick out a couple of things you can do. If there is interest, I will spend more time on Oz in future broadcasts (once I have learnt a bit more)

All videos from the Practicalli study guide are available on the playlist
https://www.youtube.com/playlist?list=PLpr9V-R8ZxiDjyU7cQYWOEFBDR1t7t0wv

Subscribe to the Practicalli channel for all new videos
https://www.youtube.com/channel/UCLsiVY-kWVH1EqgEtZiREJw

Discuss these solutions on the #practicalli channel of the Clojurians Slack community. http://clojurians.net/ has a self-sign-up form if you do not already have a free account for Clojurians Slack community.