moma-100

female-artists-moma

3d visualization of female artists in MoMA’s permanent collection, 1929-2024

process

Click me for a detailed write-up on the design and creation process; or see below for the tldr workflow:

1. Ideation (research: topic; past projects; Visual Cinnamon + Data Sketches)
2. Data
   • Sourcing data -> CC0 databases by MoMA, the Met, the Louvre, the Whitney etc
   • Data wrangling -> Jupyter Notebook + Pandas for preprocessing
   • EDA -> Jupyter Notebook, Matplotlib + Seaborn for 2d static visualization; Observable (Vega Lite) for secondary visualization
   • Feature engineering -> took the raw databases (artists, artworks, and exhibitions), and produces 2 databases with features used by d3 etc visualization. See Medium for more details on this part
3. Code for sketch
   • Use d3.js/three.js/other light JS libs to sketch 2.5D(? technically 3D but available top view only) designs for mapping and encoding

2D static visuals

Acquisition pattern during artists’ career