103 lines
9.7 KiB
Plaintext
103 lines
9.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Stats\n",
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"\n",
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"Some easy numbers about habits"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# % of scrobbles with attached URIs"
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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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"name": "stdout",
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"output_type": "stream",
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"text": [
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"95.10% joined tracks\n"
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]
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},
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{
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"data": {
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"image/png": 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\n",
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"text/plain": [
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"<Figure size 432x288 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"no_uri = (\n",
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" 'SELECT ' \n",
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" ' COUNT(track) '\n",
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" 'FROM `sarsooxyz.scrobbles.*` '\n",
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" 'WHERE '\n",
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" ' uri IS NOT NULL '\n",
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")\n",
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"\n",
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"uri = (\n",
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" 'SELECT ' \n",
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" ' COUNT(track) '\n",
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" 'FROM `sarsooxyz.scrobbles.*` '\n",
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")\n",
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"\n",
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"no_uri_count = list(client.query(no_uri).result())[0][0]\n",
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"uri_count = list(client.query(uri).result())[0][0]\n",
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"\n",
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"print(f'{( no_uri_count / uri_count ) * 100:.2f}% joined tracks')\n",
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"plt.pie([no_uri_count, uri_count - no_uri_count], labels=[\"No URI\", \"Attached URI\"])\n",
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"plt.show()"
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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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"from google.cloud import bigquery\n",
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"import matplotlib.pyplot as plt\n",
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"from dotenv import load_dotenv\n",
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"\n",
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"load_dotenv()\n",
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"\n",
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"client = bigquery.Client()"
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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": "Python 3",
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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": "3.8.9"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 4
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}
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