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add notebook with plots
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@nrlugg
nrlugg committed Nov 12, 2024
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import altair as alt\n",
"import duckdb"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"c = duckdb.connect(\"dbt.duckdb\", read_only=True)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" #altair-viz-a072d4b80d6348bfba9549f394250756.vega-embed {\n",
" width: 100%;\n",
" display: flex;\n",
" }\n",
"\n",
" #altair-viz-a072d4b80d6348bfba9549f394250756.vega-embed details,\n",
" #altair-viz-a072d4b80d6348bfba9549f394250756.vega-embed details summary {\n",
" position: relative;\n",
" }\n",
"</style>\n",
"<div id=\"altair-viz-a072d4b80d6348bfba9549f394250756\"></div>\n",
"<script type=\"text/javascript\">\n",
" var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
" (function(spec, embedOpt){\n",
" let outputDiv = document.currentScript.previousElementSibling;\n",
" if (outputDiv.id !== \"altair-viz-a072d4b80d6348bfba9549f394250756\") {\n",
" outputDiv = document.getElementById(\"altair-viz-a072d4b80d6348bfba9549f394250756\");\n",
" }\n",
" const paths = {\n",
" \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
" \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
" \"vega-lite\": \"https://cdn.jsdelivr.net/npm/[email protected]?noext\",\n",
" \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
" };\n",
"\n",
" function maybeLoadScript(lib, version) {\n",
" var key = `${lib.replace(\"-\", \"\")}_version`;\n",
" return (VEGA_DEBUG[key] == version) ?\n",
" Promise.resolve(paths[lib]) :\n",
" new Promise(function(resolve, reject) {\n",
" var s = document.createElement('script');\n",
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
" s.async = true;\n",
" s.onload = () => {\n",
" VEGA_DEBUG[key] = version;\n",
" return resolve(paths[lib]);\n",
" };\n",
" s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
" s.src = paths[lib];\n",
" });\n",
" }\n",
"\n",
" function showError(err) {\n",
" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
" throw err;\n",
" }\n",
"\n",
" function displayChart(vegaEmbed) {\n",
" vegaEmbed(outputDiv, spec, embedOpt)\n",
" .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",
" }\n",
"\n",
" if(typeof define === \"function\" && define.amd) {\n",
" requirejs.config({paths});\n",
" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
" } else {\n",
" maybeLoadScript(\"vega\", \"5\")\n",
" .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
" .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
" .catch(showError)\n",
" .then(() => displayChart(vegaEmbed));\n",
" }\n",
" })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-e9ffe44f4a940c91c142d6703ef79b9b\"}, \"mark\": {\"type\": \"bar\"}, \"encoding\": {\"x\": {\"field\": \"first_order_month\", \"timeUnit\": \"yearmonth\", \"type\": \"temporal\"}, \"y\": {\"field\": \"num_new_customers\", \"type\": \"quantitative\"}}, \"$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",
"</script>"
],
"text/plain": [
"alt.Chart(...)"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t = c.sql(\n",
" \"\"\"\n",
" SELECT *\n",
" FROM fnl_sales_newcustomers\n",
" ORDER BY first_order_month\n",
" \"\"\"\n",
")\n",
"\n",
"(\n",
" alt.Chart(t)\n",
" .mark_bar()\n",
" .encode(\n",
" x=alt.X(\"yearmonth(first_order_month):T\"),\n",
" y=alt.Y(\"num_new_customers:Q\"),\n",
" )\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"<style>\n",
" #altair-viz-c30e8330bd9c403e9938ea537abc14a1.vega-embed {\n",
" width: 100%;\n",
" display: flex;\n",
" }\n",
"\n",
" #altair-viz-c30e8330bd9c403e9938ea537abc14a1.vega-embed details,\n",
" #altair-viz-c30e8330bd9c403e9938ea537abc14a1.vega-embed details summary {\n",
" position: relative;\n",
" }\n",
"</style>\n",
"<div id=\"altair-viz-c30e8330bd9c403e9938ea537abc14a1\"></div>\n",
"<script type=\"text/javascript\">\n",
" var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
" (function(spec, embedOpt){\n",
" let outputDiv = document.currentScript.previousElementSibling;\n",
" if (outputDiv.id !== \"altair-viz-c30e8330bd9c403e9938ea537abc14a1\") {\n",
" outputDiv = document.getElementById(\"altair-viz-c30e8330bd9c403e9938ea537abc14a1\");\n",
" }\n",
" const paths = {\n",
" \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
" \"vega-lib\": \"https://cdn.jsdelivr.net/npm/vega-lib?noext\",\n",
" \"vega-lite\": \"https://cdn.jsdelivr.net/npm/[email protected]?noext\",\n",
" \"vega-embed\": \"https://cdn.jsdelivr.net/npm/vega-embed@6?noext\",\n",
" };\n",
"\n",
" function maybeLoadScript(lib, version) {\n",
" var key = `${lib.replace(\"-\", \"\")}_version`;\n",
" return (VEGA_DEBUG[key] == version) ?\n",
" Promise.resolve(paths[lib]) :\n",
" new Promise(function(resolve, reject) {\n",
" var s = document.createElement('script');\n",
" document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
" s.async = true;\n",
" s.onload = () => {\n",
" VEGA_DEBUG[key] = version;\n",
" return resolve(paths[lib]);\n",
" };\n",
" s.onerror = () => reject(`Error loading script: ${paths[lib]}`);\n",
" s.src = paths[lib];\n",
" });\n",
" }\n",
"\n",
" function showError(err) {\n",
" outputDiv.innerHTML = `<div class=\"error\" style=\"color:red;\">${err}</div>`;\n",
" throw err;\n",
" }\n",
"\n",
" function displayChart(vegaEmbed) {\n",
" vegaEmbed(outputDiv, spec, embedOpt)\n",
" .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",
" }\n",
"\n",
" if(typeof define === \"function\" && define.amd) {\n",
" requirejs.config({paths});\n",
" require([\"vega-embed\"], displayChart, err => showError(`Error loading script: ${err.message}`));\n",
" } else {\n",
" maybeLoadScript(\"vega\", \"5\")\n",
" .then(() => maybeLoadScript(\"vega-lite\", \"5.20.1\"))\n",
" .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
" .catch(showError)\n",
" .then(() => displayChart(vegaEmbed));\n",
" }\n",
" })({\"config\": {\"view\": {\"continuousWidth\": 300, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-f6fa15d27bf142925fe0f5eb72fd0105\"}, \"mark\": {\"type\": \"bar\"}, \"encoding\": {\"x\": {\"field\": \"total_returned_amount_aud\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"customer_id\", \"sort\": \"-x\", \"type\": \"ordinal\"}}, \"$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",
"</script>"
],
"text/plain": [
"alt.Chart(...)"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"t = c.sql(\n",
" \"\"\"\n",
" SELECT *\n",
" FROM fnl_finance_returnsamout\n",
" WHERE total_returned_amount_aud > 0\n",
" \"\"\"\n",
")\n",
"\n",
"(\n",
" alt.Chart(t)\n",
" .mark_bar()\n",
" .encode(\n",
" x=alt.X(\"total_returned_amount_aud:Q\"),\n",
" y=alt.Y(\"customer_id:O\", sort=alt.Sort(\"-x\")),\n",
" )\n",
")"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.14"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

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