Data-visualization

Visualize data using pydeck

An example code to visualize using the swiss population data is provided Documentation of pydeck: https://deckgl.readthedocs.io/en/latest/index.html

General processes for all plot types

Using py.deck to visualize data

• Load the data into pandas DataFrame
  • An example dataset is provided: 2022statpop, which is the hectral residential population counts in Switzerland (FSO, Statistik der Bevölkerung und Haushalte (STATPOP))
• The DataFrame should have these columns: lat, lon, a column for heights (if using 3D layer like ColumLayer, PolygonLayer, etc.) a column for color
  • heights and color are often not from the same column for the best visual effect and providing more information
  • Normalization is often needed for height and/or color for the best visual effects
• Consider adjusing these visual results:
  • View angle and location via pdk.ViewState
  • Background map via pdk.Deck(map_style=...)
• Save the file as html for the best user experience (users can zoome in/out etc.)