The course structure and some online resources for the UCL Business Management Dataviz module.
Due to the Covid disruption and to accommodate the majority of students in time-zones to the east of the UK, lectures/workshops will run from 10am to 1pm London/UK time. In order to reduce the intensity of a three hour online session, the workshop will be interspersed with mini challenges.
1 (Friday 29 May) 10:00 - 13:00
Introduction to the Module, stating key learning aims, workshop structure and covering any tools that will be used (e.g. Python Jupyter notebooks)
Exploring data using Python notebooks.
Python notebooks have become to the goto environment for much data science and exploratory data visualization work. Here we’ll use one to explore some contemporary Corona Virus and Brexit datasets.
Using Plotly to generate web-friendly charts using Python notebooks
We will take some of the data charts and maps produced and see how easy it is to embed them in a web-page.
2 (Monday 1 June) 10:00 - 1300
We will also look at Scaleable Vector Graphics (SVG), the markup language used (by D3 and others) to produce many of the iconic modern data visualizations.
3 (Wednesday 3 June) 10:00 - 1300
- see Ch. 16 DVPJ
4 (Friday 5 June) 10:00 - 1300
Putting D3 to working
5 (Monday 8 June) 10:00 - 1300
An open session. This time will allow students to focus on any of the previous topics, discuss possible thesis visualizations etc. Students are encouraged to send questions and suggestions via email: email@example.com
I’ll be adding to these in the next few weeks (as of early May)