Critical Data Studies

introductory course (2/5)

Database vs narrative

Two approaches to data-driven projects

1. Starting with a topic or a problem

Common in explanatory visualisations

Linear explanatory narrative

Data-driven exploratory visualisation

How to start a problem-driven project

2. Exploring an existing data set

(In)accessible culture? – Medialab study

Exploration vs explanation

exploration

explanation
professionalsbroader audience
data interfacevisual story
rough layoutmeticulous design
complex layoutstructured narrative
expert userrandom viewer

Data training

Dataset inspection

Krížna street case study

Different tools available, even command line – csvkit

Data types recap

Polishing up your data sets

Next class

Data training: preprocessing, cleaning & analysis

Thank you!