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Added %timefilter% min/max,autointerval,bump
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,22 +1,79 @@ | ||
| { | ||
| // Use the "reformat" buttons above to remove comments | ||
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| "$schema": "https://vega.github.io/schema/vega-lite/v2.json", | ||
| "title": "Tesla Motors Daily Stock Price", | ||
| "title": "Event counts from all indexes", | ||
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||
| // Define the data source | ||
| "data": { | ||
| // A CSV file with the Tesla stock prices, from | ||
| // https://www.quandl.com/api/v3/datasets/WIKI/TSLA.csv | ||
| "url": "https://gist.githubusercontent.com/nyurik/2419ec5f0edf34852ab62b1bc0e9ad70/raw/8b09ff7084a2f930e0130c1391858d62ae703d16/TSLA.csv" | ||
| // Specifying object as url takes the data from the ES | ||
| // This query counts the number of documents per time interval, | ||
| // assuming you have a @timestamp field in your data | ||
| "url": { | ||
| // Which indexes to search | ||
| "index": "_all", | ||
| // Connect dashboard context (the date range and filters) | ||
| "%context_query%": "@timestamp", | ||
| // The body element may contain "aggs" and "query" subfields | ||
| "body": { | ||
| "aggs": { | ||
| "time_buckets": { | ||
| "date_histogram": { | ||
| // Use date histogram aggregation on @timestamp field | ||
| "field": "@timestamp", | ||
| // interval value will depend on the daterange picker | ||
| // Use an integer to set approximate bucket count | ||
| "interval": {"%autointerval%": true}, | ||
| // Make sure we get an entire range, even if it has no data | ||
| "extended_bounds": { | ||
| "min": {"%timefilter%": "min"}, | ||
| "max": {"%timefilter%": "max"} | ||
| }, | ||
| // Use this for linear (e.g. line, area) graphs | ||
| // Without it, empty buckets will not show up | ||
| "min_doc_count": 0 | ||
| } | ||
| } | ||
| } | ||
| }, | ||
| // Speed up the response by only including aggregation results | ||
| "size": 0 | ||
| }, | ||
| // The full ES result has this structure, but for this graph we only need | ||
| // the list of bucket values, so use format.property: | ||
| // { | ||
| // "aggregations": { | ||
| // "time_buckets": { | ||
| // "buckets": [{ | ||
| // "key_as_string": "2015-11-30T22:00:00.000Z", | ||
| // "key": 1448920800000, | ||
| // "doc_count": 0 | ||
| // }, { | ||
| // "key_as_string": "2015-11-30T23:00:00.000Z", | ||
| // "key": 1448924400000, | ||
| // "doc_count": 0 | ||
| // }, ... | ||
| "format": {"property": "aggregations.time_buckets.buckets"} | ||
| }, | ||
|
|
||
| // Define how data should be shown | ||
| // Other mark values: area, bar, circle, line, point, rect, rule, square, text, and tick | ||
| // See https://vega.github.io/vega-lite/docs/mark.html | ||
| "mark": "line", | ||
|
|
||
| // See https://vega.github.io/vega-lite/docs/encoding.html | ||
| "encoding": { | ||
| "x": { | ||
| "field": "Date", | ||
| // The "key" value is the timestamp in milliseconds. Use it for X axis. | ||
| "field": "key", | ||
| "type": "temporal", | ||
| "axis": {"title": false} | ||
| "axis": {"title": false} // Customize X axis format | ||
| }, | ||
| "y": { | ||
| "field": "Close", | ||
| // The "doc_count" is the count per bucket. Use it for Y axis. | ||
| "field": "doc_count", | ||
| "type": "quantitative", | ||
| "axis": {"title": "Closing Price"} | ||
| "axis": {"title": "Document count"} | ||
| } | ||
| } | ||
| } |
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