switch back to LoveIt, other theme is deprectated
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---
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weight: 6
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title: "Theme Documentation - echarts Shortcode"
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date: 2020-03-03T14:29:41+08:00
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lastmod: 2020-03-03T14:29:41+08:00
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draft: false
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author: "Dillon"
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authorLink: "https://dillonzq.com"
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description: "The echarts shortcode supports data visualization in Hugo with ECharts library."
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images: []
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resources:
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- name: "featured-image"
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src: "featured-image.jpg"
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tags: ["shortcodes"]
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categories: ["documentation"]
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hiddenFromHomePage: true
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toc:
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enable: false
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code:
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maxShownLines: 70
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---
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The `echarts` shortcode supports data visualization in Hugo with [ECharts](https://echarts.apache.org/) library.
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<!--more-->
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**ECharts** is a library helping you to generate interactive data visualization.
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The basic chart types ECharts supports include [line series](https://echarts.apache.org/en/option.html#series-line), [bar series](https://echarts.apache.org/en/option.html#series-line), [scatter series](https://echarts.apache.org/en/option.html#series-scatter), [pie charts](https://echarts.apache.org/en/option.html#series-pie), [candle-stick series](https://echarts.apache.org/en/option.html#series-candlestick), [boxplot series](https://echarts.apache.org/en/option.html#series-boxplot) for statistics, [map series](https://echarts.apache.org/en/option.html#series-map), [heatmap series](https://echarts.apache.org/en/option.html#series-heatmap), [lines series](https://echarts.apache.org/en/option.html#series-lines) for directional information, [graph series](https://echarts.apache.org/en/option.html#series-graph) for relationships, [treemap series](https://echarts.apache.org/en/option.html#series-treemap), [sunburst series](https://echarts.apache.org/en/option.html#series-sunburst), [parallel series](https://echarts.apache.org/en/option.html#series-parallel) for multi-dimensional data, [funnel series](https://echarts.apache.org/en/option.html#series-funnel), [gauge series](https://echarts.apache.org/en/option.html#series-gauge). And it's extremely easy to create a combinition of them with ECharts.
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Just insert your ECharts option in `JSON`/`YAML`/`TOML` format in the `echarts` shortcode and that’s it.
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Example `echarts` input in `JSON` format:
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```json
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{{</* echarts */>}}
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{
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"title": {
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"text": "Summary Line Chart",
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"top": "2%",
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"left": "center"
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},
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"tooltip": {
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"trigger": "axis"
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},
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"legend": {
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"data": ["Email Marketing", "Affiliate Advertising", "Video Advertising", "Direct View", "Search Engine"],
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"top": "10%"
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},
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"grid": {
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"left": "5%",
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"right": "5%",
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"bottom": "5%",
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"top": "20%",
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"containLabel": true
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},
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"toolbox": {
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"feature": {
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"saveAsImage": {
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"title": "Save as Image"
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}
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}
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},
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"xAxis": {
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"type": "category",
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"boundaryGap": false,
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"data": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
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},
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"yAxis": {
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"type": "value"
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},
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"series": [
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{
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"name": "Email Marketing",
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"type": "line",
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"stack": "Total",
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"data": [120, 132, 101, 134, 90, 230, 210]
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},
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{
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"name": "Affiliate Advertising",
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"type": "line",
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"stack": "Total",
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"data": [220, 182, 191, 234, 290, 330, 310]
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},
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{
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"name": "Video Advertising",
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"type": "line",
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"stack": "Total",
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"data": [150, 232, 201, 154, 190, 330, 410]
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},
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{
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"name": "Direct View",
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"type": "line",
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"stack": "Total",
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"data": [320, 332, 301, 334, 390, 330, 320]
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},
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{
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"name": "Search Engine",
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"type": "line",
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"stack": "Total",
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"data": [820, 932, 901, 934, 1290, 1330, 1320]
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}
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]
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}
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{{</* /echarts */>}}
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```
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The same in `YAML` format:
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```yaml
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{{</* echarts */>}}
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title:
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text: Summary Line Chart
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top: 2%
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left: center
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tooltip:
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trigger: axis
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legend:
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data:
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- Email Marketing
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- Affiliate Advertising
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- Video Advertising
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- Direct View
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- Search Engine
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top: 10%
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grid:
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left: 5%
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right: 5%
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bottom: 5%
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top: 20%
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containLabel: true
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toolbox:
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feature:
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saveAsImage:
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title: Save as Image
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xAxis:
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type: category
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boundaryGap: false
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data:
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- Monday
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- Tuesday
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- Wednesday
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- Thursday
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- Friday
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- Saturday
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- Sunday
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yAxis:
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type: value
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series:
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- name: Email Marketing
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type: line
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stack: Total
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data:
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- 120
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- 132
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- 101
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- 134
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- 90
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- 230
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- 210
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- name: Affiliate Advertising
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type: line
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stack: Total
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data:
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- 220
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- 182
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- 191
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- 234
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- 290
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- 330
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- 310
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- name: Video Advertising
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type: line
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stack: Total
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data:
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- 150
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- 232
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- 201
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- 154
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- 190
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- 330
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- 410
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- name: Direct View
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type: line
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stack: Total
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data:
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- 320
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- 332
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- 301
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- 334
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- 390
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- 330
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- 320
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- name: Search Engine
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type: line
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stack: Total
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data:
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- 820
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- 932
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- 901
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- 934
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- 1290
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- 1330
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- 1320
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{{</* /echarts */>}}
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```
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The same in `TOML` format:
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```toml
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{{</* echarts */>}}
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[title]
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text = "Summary Line Chart"
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top = "2%"
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left = "center"
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[tooltip]
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trigger = "axis"
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[legend]
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data = [
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"Email Marketing",
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"Affiliate Advertising",
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"Video Advertising",
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"Direct View",
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"Search Engine"
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]
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top = "10%"
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[grid]
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left = "5%"
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right = "5%"
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bottom = "5%"
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top = "20%"
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containLabel = true
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[toolbox]
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[toolbox.feature]
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[toolbox.feature.saveAsImage]
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title = "Save as Image"
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[xAxis]
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type = "category"
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boundaryGap = false
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data = [
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"Monday",
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"Tuesday",
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"Wednesday",
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"Thursday",
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"Friday",
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"Saturday",
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"Sunday"
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]
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[yAxis]
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type = "value"
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[[series]]
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name = "Email Marketing"
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type = "line"
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stack = "Total"
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data = [
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120.0,
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132.0,
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101.0,
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134.0,
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90.0,
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230.0,
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210.0
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]
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[[series]]
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name = "Affiliate Advertising"
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type = "line"
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stack = "Total"
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data = [
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220.0,
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182.0,
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191.0,
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234.0,
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290.0,
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330.0,
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310.0
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]
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[[series]]
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name = "Video Advertising"
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type = "line"
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stack = "Total"
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data = [
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150.0,
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232.0,
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201.0,
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154.0,
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190.0,
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330.0,
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410.0
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]
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[[series]]
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name = "Direct View"
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type = "line"
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stack = "Total"
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data = [
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320.0,
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332.0,
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301.0,
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334.0,
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390.0,
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330.0,
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320.0
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]
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[[series]]
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name = "Search Engine"
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type = "line"
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stack = "Total"
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data = [
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820.0,
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932.0,
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901.0,
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934.0,
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1290.0,
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1330.0,
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1320.0
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]
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{{</* /echarts */>}}
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```
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The rendered output looks like this:
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{{< echarts >}}
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{
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"title": {
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"text": "Summary Line Chart",
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"top": "2%",
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"left": "center"
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},
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"tooltip": {
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"trigger": "axis"
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},
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"legend": {
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"data": ["Email Marketing", "Affiliate Advertising", "Video Advertising", "Direct View", "Search Engine"],
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"top": "10%"
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},
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"grid": {
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"left": "5%",
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"right": "5%",
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"bottom": "5%",
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"top": "20%",
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"containLabel": true
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},
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"toolbox": {
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"feature": {
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"saveAsImage": {
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"title": "Save as Image"
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}
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}
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},
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"xAxis": {
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"type": "category",
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"boundaryGap": false,
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"data": ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
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},
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"yAxis": {
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"type": "value"
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},
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"series": [
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{
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"name": "Email Marketing",
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"type": "line",
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"stack": "Total",
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"data": [120, 132, 101, 134, 90, 230, 210]
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},
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{
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"name": "Affiliate Advertising",
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"type": "line",
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"stack": "Total",
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"data": [220, 182, 191, 234, 290, 330, 310]
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},
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{
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"name": "Video Advertising",
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"type": "line",
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"stack": "Total",
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"data": [150, 232, 201, 154, 190, 330, 410]
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},
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{
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"name": "Direct View",
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"type": "line",
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"stack": "Total",
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"data": [320, 332, 301, 334, 390, 330, 320]
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},
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{
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"name": "Search Engine",
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"type": "line",
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"stack": "Total",
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"data": [820, 932, 901, 934, 1290, 1330, 1320]
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}
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]
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}
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{{< /echarts >}}
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The `echarts` shortcode has also the following named parameters:
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* **width** *[optional]* (**first** positional parameter)
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{{< version 0.2.0 >}} Width of the data visualization, default value is `100%`.
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* **height** *[optional]* (**second** positional parameter)
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{{< version 0.2.0 >}} Height of the data visualization, default value is `30rem`.
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