Add demo copy in pages folder for test
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examples/data-literate/pages/demo_new.mdx
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examples/data-literate/pages/demo_new.mdx
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---
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title: Demo
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---
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This demos and documents Data Literate features live.
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You can see the raw source of this page here: https://raw.githubusercontent.com/datopian/data-literate/main/content/demo.mdx
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## Table of Contents
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## GFM
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We can have github-flavored markdown including markdown tables, auto-linked links and checklists:
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```
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https://github.com/datopian/portal.js
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| a | b |
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|---|---|
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| 1 | 2 |
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* [x] one thing to do
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* [ ] a second thing to do
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```
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https://github.com/datopian/portal.js
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| a | b |
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|---|---|
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| 1 | 2 |
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* [x] one thing to do
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* [ ] a second thing to do
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## Footnotes
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```
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here is a footnote reference[^1]
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[^1]: a very interesting footnote.
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```
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here is a footnote reference[^1]
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[^1]: a very interesting footnote.
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## Frontmatter
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Posts can have frontmatter like:
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```
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---
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title: Hello World
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author: Rufus Pollock
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---
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```
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The title and description are pulled from the MDX file and processed using `gray-matter`. Additionally, links are rendered using a custom component passed to `next-mdx-remote`.
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## A Table of Contents
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You can create a table of contents by having a markdown heading named `Table of Contents`. You can see an example at the start of this post.
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## A Table
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You can create tables ...
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```
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<Table cols={[
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{ key: 'id', name: 'ID' },
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{ key: 'firstName', name: 'First name' },
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{ key: 'lastName', name: 'Last name' },
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{ key: 'age', name: 'Age' }
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]} data={[
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{ id: 1, lastName: 'Snow', firstName: 'Jon', age: 35 },
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{ id: 2, lastName: 'Lannister', firstName: 'Cersei', age: 42 },
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{ id: 3, lastName: 'Lannister', firstName: 'Jaime', age: 45 },
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{ id: 4, lastName: 'Stark', firstName: 'Arya', age: 16 },
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{ id: 7, lastName: 'Clifford', firstName: 'Ferrara', age: 44 },
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{ id: 8, lastName: 'Frances', firstName: 'Rossini', age: 36 },
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{ id: 9, lastName: 'Roxie', firstName: 'Harvey', age: 65 },
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]}
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/>
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```
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<Table cols={[
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{ key: 'id', name: 'ID' },
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{ key: 'firstName', name: 'First name' },
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{ key: 'lastName', name: 'Last name' },
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{ key: 'age', name: 'Age' }
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]} data={[
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{ id: 1, lastName: 'Snow', firstName: 'Jon', age: 35 },
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{ id: 2, lastName: 'Lannister', firstName: 'Cersei', age: 42 },
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{ id: 3, lastName: 'Lannister', firstName: 'Jaime', age: 45 },
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{ id: 4, lastName: 'Stark', firstName: 'Arya', age: 16 },
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{ id: 7, lastName: 'Clifford', firstName: 'Ferrara', age: 44 },
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{ id: 8, lastName: 'Frances', firstName: 'Rossini', age: 36 },
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{ id: 9, lastName: 'Roxie', firstName: 'Harvey', age: 65 },
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]}
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/>
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### Table from Raw CSV
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You can also pass raw CSV as the content ...
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```
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<Table csv={`
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Year,Temp Anomaly
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1850,-0.418
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2020,0.923
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`} />
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```
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<Table csv={`
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Year,Temp Anomaly,
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1850,-0.418
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2020,0.923
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`} />
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### Table from a URL
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<Table url='/_files/HadCRUT.5.0.1.0.analysis.summary_series.global.annual.csv' />
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```
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<Table url='/_files/HadCRUT.5.0.1.0.analysis.summary_series.global.annual.csv' />
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```
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## Charts
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You can create charts using a simple syntax.
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### Line Chart
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<LineChart data={
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[
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["1850",-0.41765878],
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["1851",-0.2333498],
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["1852",-0.22939907],
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["1853",-0.27035445],
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["1854",-0.29163003]
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]
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}
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/>
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```
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<LineChart data={
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[
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["1850",-0.41765878],
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["1851",-0.2333498],
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["1852",-0.22939907],
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["1853",-0.27035445],
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["1854",-0.29163003]
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]
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}
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/>
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```
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NB: we have quoted years as otherwise not interpreted as dates but as integers ...
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### Vega and Vega Lite
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You can using vega or vega-lite. Here's an example using vega-lite:
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<VegaLite data={ { "table": [
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{
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"y": -0.418,
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"x": 1850
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},
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{
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"y": 0.923,
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"x": 2020
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}
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]
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}
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} spec={
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{
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"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
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"mark": "bar",
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"data": {
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"name": "table"
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},
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"encoding": {
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"x": {
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"field": "x",
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"type": "ordinal"
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},
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"y": {
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"field": "y",
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"type": "quantitative"
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}
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}
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}
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} />
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```jsx
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<VegaLite data={ { "table": [
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{
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"y": -0.418,
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"x": 1850
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},
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{
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"y": 0.923,
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"x": 2020
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}
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]
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}
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} spec={
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{
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"$schema": "https://vega.github.io/schema/vega-lite/v4.json",
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"mark": "bar",
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"data": {
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"name": "table"
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},
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"encoding": {
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"x": {
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"field": "x",
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"type": "ordinal"
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},
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"y": {
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"field": "y",
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"type": "quantitative"
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}
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}
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}
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} />
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```
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#### Line Chart from URL with Tooltip
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https://vega.github.io/vega-lite/examples/interactive_multi_line_pivot_tooltip.html
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<VegaLite spec={
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{
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"$schema": "https://vega.github.io/schema/vega-lite/v5.json",
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"data": {"url": "/_files/HadCRUT.5.0.1.0.analysis.summary_series.global.annual.csv"},
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"width": 600,
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"height": 250,
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"mark": "line",
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"encoding": {
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"x": {"field": "Time", "type": "temporal"},
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"y": {"field": "Anomaly (deg C)", "type": "quantitative"},
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"tooltip": {"field": "Anomaly (deg C)", "type": "quantitative"}
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}
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}
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} />
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## Display Excel Files
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Local file ...
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```
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<Excel src='/_files/eight-centuries-of-global-real-interest-rates-r-g-and-the-suprasecular-decline-1311-2018-data.xlsx' />
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```
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<Excel src='/_files/eight-centuries-of-global-real-interest-rates-r-g-and-the-suprasecular-decline-1311-2018-data.xlsx' />
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Remote files work too (even without CORS) thanks to proxying:
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```
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<Excel src='https://github.com/datasets/awesome-data/files/6604635/eight-centuries-of-global-real-interest-rates-r-g-and-the-suprasecular-decline-1311-2018-data.xlsx' />
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```
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<Excel src='https://github.com/datasets/awesome-data/files/6604635/eight-centuries-of-global-real-interest-rates-r-g-and-the-suprasecular-decline-1311-2018-data.xlsx' />
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