a post with vega lite

This is an example post with some vega lite code.

```vega_lite
{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "description": "A dot plot showing each movie in the database, and the difference from the average movie rating. The display is sorted by year to visualize everything in sequential order. The graph is for all Movies before 2019.",
  "data": {
    "url": "https://raw.githubusercontent.com/vega/vega/main/docs/data/movies.json"
  },
  "transform": [
    {"filter": "datum['IMDB Rating'] != null"},
    {"filter": {"timeUnit": "year", "field": "Release Date", "range": [null, 2019]}},
    {
      "joinaggregate": [{
        "op": "mean",
        "field": "IMDB Rating",
        "as": "AverageRating"
      }]
    },
    {
      "calculate": "datum['IMDB Rating'] - datum.AverageRating",
      "as": "RatingDelta"
    }
  ],
  "mark": "point",
  "encoding": {
    "x": {
      "field": "Release Date",
      "type": "temporal"
    },
    "y": {
      "field": "RatingDelta",
      "type": "quantitative",
      "title": "Rating Delta"
    },
    "color": {
      "field": "RatingDelta",
      "type": "quantitative",
      "scale": {"domainMid": 0},
      "title": "Rating Delta"
    }
  }
}
```

Which generates:

{
  "$schema": "https://vega.github.io/schema/vega-lite/v5.json",
  "description": "A dot plot showing each movie in the database, and the difference from the average movie rating. The display is sorted by year to visualize everything in sequential order. The graph is for all Movies before 2019.",
  "data": {
    "url": "https://raw.githubusercontent.com/vega/vega/main/docs/data/movies.json"
  },
  "transform": [
    {"filter": "datum['IMDB Rating'] != null"},
    {"filter": {"timeUnit": "year", "field": "Release Date", "range": [null, 2019]}},
    {
      "joinaggregate": [{
        "op": "mean",
        "field": "IMDB Rating",
        "as": "AverageRating"
      }]
    },
    {
      "calculate": "datum['IMDB Rating'] - datum.AverageRating",
      "as": "RatingDelta"
    }
  ],
  "mark": "point",
  "encoding": {
    "x": {
      "field": "Release Date",
      "type": "temporal"
    },
    "y": {
      "field": "RatingDelta",
      "type": "quantitative",
      "title": "Rating Delta"
    },
    "color": {
      "field": "RatingDelta",
      "type": "quantitative",
      "scale": {"domainMid": 0},
      "title": "Rating Delta"
    }
  }
}

This plot supports both light and dark themes.




Enjoy Reading This Article?

Here are some more articles you might like to read next:

  • 关于大模型Loss Landscape的二次思考:博弈智能与通用智能的动力学深层原理
  • a post with plotly.js
  • a post with plotly.js
  • a post with image galleries
  • a post with tabs