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Load Data Notebooks modified with comments #118

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merged 8 commits into from
Oct 8, 2024
Merged

Load Data Notebooks modified with comments #118

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245c78f
Load Data Notebooks modified with comments
Oct 8, 2024
2bdeb04
Update notebook.ipynb
kesmit13 Oct 8, 2024
4a4938c
Update notebook.ipynb
kesmit13 Oct 8, 2024
14a2aa5
Update notebook.ipynb
kesmit13 Oct 8, 2024
0723b97
Update notebook.ipynb
kesmit13 Oct 8, 2024
b2ff670
Update notebook.ipynb
kesmit13 Oct 8, 2024
2198a73
Update notebook.ipynb
kesmit13 Oct 8, 2024
b7b55f9
Update notebook.ipynb
kesmit13 Oct 8, 2024
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51 changes: 11 additions & 40 deletions notebooks/load-csv-data-s3/notebook.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "markdown",
"id": "",
"id": "a4717276-2860-4b52-95d4-91cb2364735a",
"metadata": {},
"source": [
"<div id=\"singlestore-header\" style=\"display: flex; background-color: rgba(235, 249, 245, 0.25); padding: 5px;\">\n",
Expand All @@ -18,7 +18,7 @@
},
{
"cell_type": "markdown",
"id": "",
"id": "62b43d62-ee7e-479f-8ef7-482253faf7d4",
"metadata": {},
"source": [
"<div class=\"alert alert-block alert-warning\">\n",
Expand All @@ -33,7 +33,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<div class=\"alert alert-block alert-warning\">\n",
Expand All @@ -48,7 +47,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"The Sales Data Analysis use case demonstrates how to leverage SingleStore's powerful querying capabilities in a business intelligence context like analyzing sales data stored in a CSV file.\n",
Expand All @@ -67,7 +65,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<h3>Demo Flow</h3>"
Expand All @@ -76,7 +73,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<img src=https://singlestoreloaddata.s3.ap-south-1.amazonaws.com/images/LoadDataCSV.png width=\"100%\" hight=\"50%\"/>"
Expand All @@ -85,7 +81,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"## How to use this notebook"
Expand All @@ -94,7 +89,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<img src=https://singlestoreloaddata.s3.ap-south-1.amazonaws.com/images/notebookuse.gif width=\"75%\" hight=\"50%\"/>"
Expand All @@ -103,7 +97,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"## Create a database (You can skip this Step if you are using Free Starter Tier)\n",
Expand All @@ -114,7 +107,6 @@
{
"cell_type": "code",
"execution_count": 1,
"id": "",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -127,21 +119,20 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<h3>Create Table</h3>"
"### Create Table\n",
"Creating table for sample data."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "",
"metadata": {},
"outputs": [],
"source": [
"%%sql\n",
"CREATE TABLE `SalesData` (\n",
"CREATE TABLE IF NOT EXISTS `SalesData` (\n",
" `Date` text CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci,\n",
" `Store_ID` bigint(20) DEFAULT NULL,\n",
" `ProductID` text CHARACTER SET utf8mb4 COLLATE utf8mb4_general_ci,\n",
Expand All @@ -156,21 +147,20 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<h3>Load Data Using Pipelines</h3>"
"### Load Data Using Pipelines\n",
"Creating pipeline for sample data."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "",
"metadata": {},
"outputs": [],
"source": [
"%%sql\n",
"CREATE PIPELINE SalesData_Pipeline AS\n",
"CREATE PIPELINE IF NOT EXISTS SalesData_Pipeline AS\n",
"LOAD DATA S3 's3://singlestoreloaddata/SalesData/*.csv'\n",
"CONFIG '{ \\\"region\\\": \\\"ap-south-1\\\" }'\n",
"/*\n",
Expand All @@ -189,7 +179,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"### Data may take couple of seconds to load after pipeline is started, rerun cell to verify"
Expand All @@ -198,7 +187,6 @@
{
"cell_type": "code",
"execution_count": 4,
"id": "",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -209,7 +197,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<h3>Sample Queries</h3>\n",
Expand All @@ -220,7 +207,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<b>Top-Selling Products"
Expand All @@ -229,7 +215,6 @@
{
"cell_type": "code",
"execution_count": 5,
"id": "",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -241,7 +226,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<b>Sales Trends Over Time"
Expand All @@ -250,7 +234,6 @@
{
"cell_type": "code",
"execution_count": 6,
"id": "",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -262,7 +245,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<b>Total Sales by Store"
Expand All @@ -271,7 +253,6 @@
{
"cell_type": "code",
"execution_count": 7,
"id": "",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -283,16 +264,14 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<b>Sales Contribution by Product (Percentage)"
"<b>Sales Contribution by Product (Percentage)</b>"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -304,7 +283,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"<b>Top Days with Highest Sale</b>"
Expand All @@ -313,7 +291,6 @@
{
"cell_type": "code",
"execution_count": 9,
"id": "",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -325,7 +302,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"## Conclusion\n",
Expand All @@ -337,7 +313,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"## Clean up\n",
Expand All @@ -348,7 +323,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"#### Drop Pipeline"
Expand All @@ -357,12 +331,11 @@
{
"cell_type": "code",
"execution_count": 10,
"id": "",
"metadata": {},
"outputs": [],
"source": [
"%%sql\n",
"%%sql\n",
"\n",
"#STOP PIPELINE SalesData_Pipeline;\n",
"\n",
"#DROP PIPELINE SalesData_Pipeline;"
Expand All @@ -371,7 +344,6 @@
{
"attachments": {},
"cell_type": "markdown",
"id": "",
"metadata": {},
"source": [
"#### Drop Data"
Expand All @@ -380,7 +352,6 @@
{
"cell_type": "code",
"execution_count": 11,
"id": "",
"metadata": {},
"outputs": [],
"source": [
Expand All @@ -393,7 +364,7 @@
},
{
"cell_type": "markdown",
"id": "",
"id": "5b40afb3-f2af-47e1-ac07-1f7eec099c52",
"metadata": {},
"source": [
"<div id=\"singlestore-footer\" style=\"background-color: rgba(194, 193, 199, 0.25); height:2px; margin-bottom:10px\"></div>\n",
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