datapackage.json

{
  "resources": [
    {
      "name": "genre-attributes",
      "path": "genre_attrs.csv",
      "dialect": {                
        "delimiter": ",",
        "doubleQuote": true
      },
      "profile": "tabular-data-resource",
      "schema": {
        "fields": [
          {
            "name": "genre",
            "type": "string",
            "format": "default",
            "title": "Genre",
            "description": "The name of the genre, a mostly comprehensive subset of the full Spotify genre list"
          },
          {
            "name": "x",
            "type": "integer",
            "format": "default",
            "title": "X",
            "description": "Low values of x denote heavier genres (e.g. metal) whilst higher values are for lighter genres (e.g. pop)"
          },
          {
            "name": "y",
            "type": "integer",
            "format": "default",
            "title": "Y",
            "description": "Low values of y denote more organic genres (e.g. classical) whilst higher values are for more mechanical genres (e.g. techno)"
          },
          {
            "name": "hex_colour",
            "type": "string",
            "format": "default",
            "title": "Colour"
          }
        ]
      }
    }
  ],
    "views": [
        {
            "name": "genre-map",
            "title": "Genre Map",
            "resources": ["genre-attributes"],
            "specType": "vega-lite",
            "spec": {
                "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
                "description": "A scatterplot showing the Spotify genre space",
                "data": {"name": "genre-attributes"},
                "mark": "point",
                "encoding": {
                    "x": {"field": "x", "type": "quantitative"},
                    "y": {"field": "y", "type": "quantitative"},
                    "tooltip": {"field": "genre", "type": "nominal"}
                }
            }
        }
    ],
    "keywords": [
        "everynoise",
        "spotify",
        "music",
        "genres"
    ],
    "licenses": [
        {
        "name": "CC-BY-SA-4.0",
            "title": "Creative Commons Attribution Share-Alike 4.0",
            "path": "https://creativecommons.org/licenses/by-sa/4.0/"
        }
    ],
    "contributors": [
        {
            "title": "Ayrton Bourn",
            "role": "author"
        }
    ],
    "description": "The Every Noise dataset expresses Spotify genres across 3 dimensions, primarily heavy/light and organic/mechanic, with a third 'undefined' colour dimension. Glenn McDonald (Senior Software Engineer at Spotify) is the creator of EveryNoise, the dataset contained in this repository has been derived from his work.",
    "homepage": "https://github.com/AyrtonB/EveryNoise-Watch#readme",
    "title": "Every Noise",
    "name": "every-noise"
}