Session 2 — Data science workflows in JavaScript
Workshop Session 2:
Access data from a remote file or API
Do some essential data wrangling (filter, mutate, select) in JavaScript
Build an interactive chart to explore data with Observable Plot and Inputs
Perform and visualize results of k-means clustering in JavaScript
Use embeds share and publish notebook content
Instructor: Allison Horst (Data Scientist Advocate at Observable)
In this hands-on course, we will walk through three real-world case studies from data import to communication, each highlighting a different set of tools available to use in a data science workflow. By the end of the workshop, you'll be ready to mix-and-match tools to best suit your skill set and the specific needs of your data work - whether working solo or with your team.
00:00 - Welcome and introduction
06:15 - Meet the penguins data
17:35 - Access data using a URL
28:45 - Data wrangling in JavaScript and Arquero
49:30 - Break
58:05 - Import content from other notebooks
1:02:57 - Meet Arquero for data wrangling
1:11:14 - Exploratory data visualization
1:32:43 - Break
1:37:02 - Intro to k-means in JavaScript with ml.js
Workshop materials: https://observablehq.com/collection/@...