Data-Analysis-Jupyter/datashader-work/datashader-examples/dashboard.yml

sources:
  osm-1b:
    description: 1-billion-point OpenStreetMap GPS dataset
    driver: parquet
    args:
      urlpath: '{{ CATALOG_DIR }}/data/osm-1billion.snappy.parq'
      columns: ['x','y']
    metadata:
      fields:
        counts:
          label: GPS coordinates
      plot:
        xlim: !!python/tuple [-8240227, -8231284]
        ylim: !!python/tuple [ 4974203,  4979238]
        kind: points
      plots:
        counts:
          label: 1 billion OpenStreetMap GPS locations
          x: x
          y: y
          
  nyc_taxi:
    description: Large version of nyc taxi dataset
    driver: parquet
    args:
      urlpath: '{{ CATALOG_DIR }}/data/nyc_taxi_wide.parq'
      columns: ['dropoff_x','dropoff_y','pickup_x','pickup_y',
                'dropoff_hour','pickup_hour','passenger_count']
    metadata:
      fields:
        counts:
          label: Ride counts
        passenger_count:
          label: Passenger Count
        dropoff_hour:
          label: Drop-off Hour
        pickup_hour:
          label: Pick-up Hour
      plot:
        xlim: !!python/tuple [-8240227.037, -8231283.905]
        ylim: !!python/tuple [4974203.152, 4979238.441]
        kind: points
        hover_cols: ['dropoff_hour', 'pickup_hour', 'passenger_count']
      plots:
        dropoff:
          label: NYC Taxi Dropoffs
          x: dropoff_x
          y: dropoff_y
        pickup:
          label: NYC Taxi Pickups
          x: pickup_x
          y: pickup_y
          
  nyc_taxi_50k:
    description: Small version of nyc taxi dataset
    driver: parquet
    args:
      urlpath: '{{ CATALOG_DIR }}/data/nyc_taxi_50k.parq'
      columns: ['dropoff_x','dropoff_y','pickup_x','pickup_y',
                'dropoff_hour','pickup_hour','passenger_count']
    metadata:
      fields:
        counts:
          label: Ride counts
        passenger_count:
          label: Passenger Count
        dropoff_hour:
          label: Drop-off Hour
        pickup_hour:
          label: Pick-up Hour
      plot:
        xlim: !!python/tuple [-8240227.037, -8231283.905]
        ylim: !!python/tuple [4974203.152, 4979238.441]
        kind: points
        hover_cols: ['dropoff_hour', 'pickup_hour', 'passenger_count']
      plots:
        dropoff:
          label: NYC Taxi Dropoffs
          x: dropoff_x
          y: dropoff_y
        pickup:
          label: NYC Taxi Pickups
          x: pickup_x
          y: pickup_y
          
  census:
    description: US Census Synthetic Data
    driver: parquet
    args:
      urlpath: '{{ CATALOG_DIR }}/data/census.snappy.parq'
    metadata:
      fields:
        counts:
          label: Counts
        race:
          label: Race
# this doesn't work, but I think something like it might. 
#           labels:
#             w: White
#             b: Black
#             a: Asian
#             h: Hispanic
#             o: Other
      plot:
        x: easting
        y: northing
        xlim: !!python/tuple [-13914936, -7235767]
        ylim: !!python/tuple [2632019, 6446276]
        kind: points  
      plots:
        people:
          label: US Census Synthetic people
        race:
          label: US Census Synthetic race
          c: race
          cmap:
            w: blue
            b: green
            a: red
            h: orange
            o: saddlebrown
  
  opensky:
    description: OpenSky Flight Paths
    driver: netcdf
    args:
      urlpath: '{{ CATALOG_DIR }}/data/opensky.h5'
      chunks: {}
    metadata:
      fields:
        counts:
          label: Counts
        ascending:
          label: Ascending vs. Descending
          cat_colors:
            True: blue
            False: red
          cat_names:
            True: Ascending
            False: Descending
      plot:
        xlim: !!python/tuple [-2000000, 2500000]
        ylim: !!python/tuple [4100000, 7800000]
        kind: points
        x: longitude
        y: latitude
      plots:
        flight_paths:
          label: OpenSky Flight Paths