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  1. APIs and Interfaces
  2. Vega
  3. Vega Tutorials

Getting More from Your Data

PreviousGetting Started with VegaNextCreating More Advanced Charts

can be found at the end of this tutorial.

This tutorial builds on the tutorial by color-coding tweets according to language:

  • Tweets in English are blue.

  • Tweets in French are orange.

  • Tweets in Spanish are green.

  • All other tweets are light or dark gray.

To highlight language in the visualization, the example specifies the language column query in the Vega data property, and associates language with color.

"data:" [
  {
    "name": "tweets",
    "sql": "SELECT goog_x as x, goog_y as y, lang as color, tweets_nov_feb.rowid FROM tweets_nov_feb"
  }
"scales:" [
     .
     .
     .
  {
    "name": "color",
    "type": "ordinal",
    "domain": ["en",  "es", "fr"],
    "range": ["#27aeef", "#87bc45", "#ef9b20"],
    "default": "gray",
    "nullValue": "#cacaca"
  }
]

You can specify a default color values for values not specified in range and for data items with a value of null. In this example, tweets in languages other than English, Spanish, or French are colored gray and tweets with a language value of null are colored light gray (#cacaca).

In previous examples the fill color of points representing tweets was statically specified as blue:

"marks:" [
  {
    "type:" "points",
    "from:" {
      "data:" "tweets"
    },
    "properties:" {
         .
         .
         .
      },
      "fillColor": "blue",
      "size:" {"value:" 3}
    }
  }
]
"marks:" [
  {
    "type:" "points",
    "from:" {
      "data:" "tweets"
    },
    "properties:" {
         .
         .
         .
      },
      "fillColor:" {
        "scale": "color",
        "field": "color"
      },
      "size:" 3
    }
  }
]

The fillColor references the color scale and performs a lookup on the current language value, from the color data table field.

Source Code

Getting More Insight Tutorial Directory Structure

index.html
/js
  browser-connector.js
  vegaspec.js
  vegademo.js

HTML

Getting More Insight Tutorial index.html

<!DOCTYPE html>
<html lang="en">
  <head>
    <title>OmniSci</title>
    <meta charset="UTF-8">
  </head>
  <body>
    <script src="js/browser-connector.js"></script>
    <script src="js/vegaspec.js"></script>
    <script src="js/vegademo.js"></script>

    <script>
    document.addEventListener('DOMContentLoaded', init, false);
    </script>
  </body>
</html>

JavaScript

Getting More Insight Tutorial vegademo.js

function init() {
  var vegaOptions = {}
  var connector = new MapdCon()
    .protocol("http")
    .host("my.host.com")
    .port("6273")
    .dbName("omnisci")
    .user("omnisci")
    .password("changeme")
    .connect(function(error, con) {
      con.renderVega(1, JSON.stringify(exampleVega), vegaOptions, function(error, result) {
        if (error) {
          console.log(error.message);
        }
        else {
          var blobUrl = `data:image/png;base64,${result.image}`
          var body = document.querySelector('body')
          var vegaImg = new Image()
          vegaImg.src = blobUrl
          body.append(vegaImg)
        }
      });
    });
}

Getting More Insight Tutorial vegaspec.js

const exampleVega = {
  "width": 384,
  "height": 564,
  "data": [
    {
      "name": "tweets",
      "sql": "SELECT goog_x as x, goog_y as y, lang as color, tweets_data_table.rowid FROM tweets_data_table"
    }
  ],
  "scales": [
    {
      "name": "x",
      "type": "linear",
      "domain": [
        -3650484.1235206556,
        7413325.514451755
      ],
      "range": "width"
    },
    {
      "name": "y",
      "type": "linear",
      "domain": [
        -5778161.9183506705,
        10471808.487466192
      ],
      "range": "height"
    },
    {
      "name": "color",
      "type": "ordinal",
      "domain": ["en",  "es", "fr"],
      "range": ["#27aeef", "#87bc45", "#ef9b20"],
      "default": "gray",
      "nullValue": "#cacaca"
    }
  ],
  "marks": [
    {
      "type": "points",
      "from": {
        "data": "tweets"
      },
      "properties": {
        "x": {
          "scale": "x",
          "field": "x"
        },
        "y": {
          "scale": "y",
          "field": "y"
        },
        "fillColor": {
          "scale": "color",
          "field": "color"
        },
        "size": 3
      }
    }
  ]
};

The property maps the language abbreviation string to a color value. Because we want to map discrete domain values to discrete range values, we specify a color scale with an ordinal scale:

Similar to using x and y scales to map property x and y fields to the visualization area, you can scale the fillColor property to the visualization area.

This example, uses to specify the fill color:

Marks
Getting Started with Vega
Source code
Scales
Value Reference
type