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nrluggnrlugg
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add notebook with plots
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‎workspace.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import altair as alt\n",
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"import duckdb"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"c = duckdb.connect(\"dbt.duckdb\", read_only=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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" #altair-viz-a072d4b80d6348bfba9549f394250756.vega-embed {\n",
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" width: 100%;\n",
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" display: flex;\n",
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" }\n",
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"\n",
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" #altair-viz-a072d4b80d6348bfba9549f394250756.vega-embed details,\n",
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" #altair-viz-a072d4b80d6348bfba9549f394250756.vega-embed details summary {\n",
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" position: relative;\n",
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" }\n",
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"</style>\n",
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"<div id=\"altair-viz-a072d4b80d6348bfba9549f394250756\"></div>\n",
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"<script type=\"text/javascript\">\n",
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" var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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" (function(spec, embedOpt){\n",
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" let outputDiv = document.currentScript.previousElementSibling;\n",
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" if (outputDiv.id !== \"altair-viz-a072d4b80d6348bfba9549f394250756\") {\n",
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" outputDiv = document.getElementById(\"altair-viz-a072d4b80d6348bfba9549f394250756\");\n",
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" }\n",
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" const paths = {\n",
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" \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
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" \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
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" \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.20.1?noext\",\n",
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" \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
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" };\n",
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"\n",
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" function maybeLoadScript(lib, version) {\n",
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" var key = `${lib.replace(\"-\", \"\")}_version`;\n",
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" return (VEGA_DEBUG[key] == version) ?\n",
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" Promise.resolve(paths[lib]) :\n",
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" new Promise(function(resolve, reject) {\n",
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" var s = document.createElement('script');\n",
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" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
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" s.async = true;\n",
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" s.onload = () => {\n",
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" VEGA_DEBUG[key] = version;\n",
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" return resolve(paths[lib]);\n",
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" };\n",
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" s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
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" s.src = paths[lib];\n",
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" });\n",
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" }\n",
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"\n",
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" function showError(err) {\n",
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" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
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" throw err;\n",
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" }\n",
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"\n",
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" function displayChart(vegaEmbed) {\n",
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" vegaEmbed(outputDiv, spec, embedOpt)\n",
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" .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
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" }\n",
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"\n",
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" if(typeof define === \"function\" && define.amd) {\n",
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" requirejs.config({paths});\n",
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" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
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" } else {\n",
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" maybeLoadScript(\"vega\", \"5\")\n",
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" .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
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" .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
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" .catch(showError)\n",
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" .then(() => displayChart(vegaEmbed));\n",
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" }\n",
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" })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-e9ffe44f4a940c91c142d6703ef79b9b\"}, \"mark\": {\"type\": \"bar\"}, \"encoding\": {\"x\": {\"field\": \"first_order_month\", \"timeUnit\": \"yearmonth\", \"type\": \"temporal\"}, \"y\": {\"field\": \"num_new_customers\", \"type\": \"quantitative\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.20.1.json\", \"datasets\": {\"data-e9ffe44f4a940c91c142d6703ef79b9b\": [{\"first_order_month\": \"2018-01-01T00:00:00\", \"num_new_customers\": 24}, {\"first_order_month\": \"2018-02-01T00:00:00\", \"num_new_customers\": 18}, {\"first_order_month\": \"2018-03-01T00:00:00\", \"num_new_customers\": 18}, {\"first_order_month\": \"2018-04-01T00:00:00\", \"num_new_customers\": 2}]}}, {\"mode\": \"vega-lite\"});\n",
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"</script>"
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],
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"text/plain": [
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"alt.Chart(...)"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"t = c.sql(\n",
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" \"\"\"\n",
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" SELECT *\n",
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" FROM fnl_sales_newcustomers\n",
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" ORDER BY first_order_month\n",
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" \"\"\"\n",
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")\n",
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"\n",
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"(\n",
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" alt.Chart(t)\n",
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" .mark_bar()\n",
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" .encode(\n",
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" x=alt.X(\"yearmonth(first_order_month):T\"),\n",
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" y=alt.Y(\"num_new_customers:Q\"),\n",
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" )\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"\n",
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"<style>\n",
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" #altair-viz-c30e8330bd9c403e9938ea537abc14a1.vega-embed {\n",
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" width: 100%;\n",
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" display: flex;\n",
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" }\n",
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"\n",
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" #altair-viz-c30e8330bd9c403e9938ea537abc14a1.vega-embed details,\n",
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" #altair-viz-c30e8330bd9c403e9938ea537abc14a1.vega-embed details summary {\n",
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" position: relative;\n",
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" }\n",
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"</style>\n",
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"<div id=\"altair-viz-c30e8330bd9c403e9938ea537abc14a1\"></div>\n",
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"<script type=\"text/javascript\">\n",
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" var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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" (function(spec, embedOpt){\n",
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" let outputDiv = document.currentScript.previousElementSibling;\n",
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" if (outputDiv.id !== \"altair-viz-c30e8330bd9c403e9938ea537abc14a1\") {\n",
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" outputDiv = document.getElementById(\"altair-viz-c30e8330bd9c403e9938ea537abc14a1\");\n",
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" }\n",
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" const paths = {\n",
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" \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
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" \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
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" \"vega-lite\": \"https://cdn.jsdelivr.net/npm/vega-lite@5.20.1?noext\",\n",
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" \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
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" };\n",
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"\n",
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" function maybeLoadScript(lib, version) {\n",
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" var key = `${lib.replace(\"-\", \"\")}_version`;\n",
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" return (VEGA_DEBUG[key] == version) ?\n",
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" Promise.resolve(paths[lib]) :\n",
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" new Promise(function(resolve, reject) {\n",
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" var s = document.createElement('script');\n",
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" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
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" s.async = true;\n",
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" s.onload = () => {\n",
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" VEGA_DEBUG[key] = version;\n",
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" return resolve(paths[lib]);\n",
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" };\n",
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" s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
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" s.src = paths[lib];\n",
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" });\n",
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" }\n",
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"\n",
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" function showError(err) {\n",
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" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
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" throw err;\n",
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" }\n",
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"\n",
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" function displayChart(vegaEmbed) {\n",
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" vegaEmbed(outputDiv, spec, embedOpt)\n",
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" .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
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" }\n",
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"\n",
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" if(typeof define === \"function\" && define.amd) {\n",
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" requirejs.config({paths});\n",
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" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
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" } else {\n",
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" maybeLoadScript(\"vega\", \"5\")\n",
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" .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
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" .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
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" .catch(showError)\n",
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" .then(() => displayChart(vegaEmbed));\n",
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" }\n",
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" })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-f6fa15d27bf142925fe0f5eb72fd0105\"}, \"mark\": {\"type\": \"bar\"}, \"encoding\": {\"x\": {\"field\": \"total_returned_amount_aud\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"customer_id\", \"sort\": \"-x\", \"type\": \"ordinal\"}}, \"$schema\": \"https://vega.github.io/schema/vega-lite/v5.20.1.json\", \"datasets\": {\"data-f6fa15d27bf142925fe0f5eb72fd0105\": [{\"customer_id\": 1, \"total_returned_amount_aud\": 10.0}, {\"customer_id\": 2, \"total_returned_amount_aud\": 23.0}, {\"customer_id\": 40, \"total_returned_amount_aud\": 3.0}, {\"customer_id\": 64, \"total_returned_amount_aud\": 13.0}]}}, {\"mode\": \"vega-lite\"});\n",
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"</script>"
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],
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"text/plain": [
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"alt.Chart(...)"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"t = c.sql(\n",
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" \"\"\"\n",
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" SELECT *\n",
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" FROM fnl_finance_returnsamout\n",
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" WHERE total_returned_amount_aud > 0\n",
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" \"\"\"\n",
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")\n",
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"\n",
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"(\n",
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" alt.Chart(t)\n",
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" .mark_bar()\n",
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" .encode(\n",
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" x=alt.X(\"total_returned_amount_aud:Q\"),\n",
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" y=alt.Y(\"customer_id:O\", sort=alt.Sort(\"-x\")),\n",
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" )\n",
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")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.14"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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