[examples/data-literate][m]: factor our a working markdown+CSV (data literate) example from site (where we already had a demo).

* removed a few extraneous things
* added the README.md with some instructions

examples/data-literate/components/Table.js

@@ -0,0 +1,83 @@
+import axios from 'axios'
+import React, { useEffect, useState } from 'react'
+
+const papa = require("papaparse")
+
+/*
+  Simple HTML Table
+  usage: <OutTable data={data} cols={cols} />
+    data:Array<Array<any> >;
+    cols:Array<{name:string, key:number|string}>;
+*/
+export default function Table({ data=[], cols=[], csv='', url='' }) {
+  if (csv) {
+    const out = parseCsv(csv)
+    data = out.rows
+    cols = out.cols
+  }
+
+	const [ourdata, setData] = React.useState(data)
+	const [ourcols, setCols] = React.useState(cols)
+	const [error, setError] = React.useState('')
+
+  useEffect(() => {
+    if (url) {
+      loadUrl(url)
+    }
+  }, [url])
+
+  function loadUrl(path) {
+    // HACK: duplicate of Excel code - maybe refactor
+    // if url is external may have CORS issue so we proxy it ...
+    if (url.startsWith('http')) {
+      const PROXY_URL = window.location.origin + '/api/proxy'
+      url = PROXY_URL + '?url=' + encodeURIComponent(url)
+    }
+    axios.get(url).then((res) => {
+      const { rows, fields } = parseCsv(res.data)      
+      setData(rows)
+      setCols(fields)
+    })
+  }
+
+	return (
+    <>
+      <SimpleTable data={ourdata} cols={ourcols} />
+    </>
+	)
+}
+
+/*
+  Simple HTML Table
+  usage: <OutTable data={data} cols={cols} />
+    data:Array<Array<any> >;
+    cols:Array<{name:string, key:number|string}>;
+*/
+function SimpleTable({ data=[], cols=[] }) {
+	return (
+		<div className="table-responsive">
+			<table className="table table-striped">
+				<thead>
+					<tr>{cols.map((c) => <th key={c.key}>{c.name}</th>)}</tr>
+				</thead>
+				<tbody>
+					{data.map((r,i) => <tr key={i}>
+						{cols.map(c => <td key={c.key}>{ r[c.key] }</td>)}
+					</tr>)}
+				</tbody>
+			</table>
+		</div>
+	)
+}
+
+function parseCsv(csv) {
+  csv = csv.trim()
+  const rawdata = papa.parse(csv, {header: true})
+  const cols = rawdata.meta.fields.map((r,i) => {
+    return { key: r, name: r }
+  })
+  return {
+    rows: rawdata.data,
+    fields: cols
+  }
+}