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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/skilfoy/2a565d2cdc4587da889a0a72c2cdb1c6/opc-backbrief-data-analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "d5cb93bd-5121-45a8-b30f-49b6e1fd47c8",
"id": "wozz8EGrIcFN"
},
"source": [
"# OPC Corporate Back Brief \n",
"\n",
"## Outdoor Performance Center Data Science Team\n",
"\n",
"Sean Kilfoy\n",
"\n",
"June 30, 2024"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "bd8ed55c-9c7f-4194-aacb-a971c759ddaf",
"id": "MdNiD2lEIcFP"
},
"source": [
"### Introduction\n",
"\n",
"This document provides a comprehensive analysis of the OPC bike sales data to determine the feasibility of acquiring Ord Cycles. The analysis focuses on three key business problems: assessing sales growth, evaluating warehouse demand, and identifying optimal mountain bike configurations. We'll utilize both SQL queries and Python commands to complete our analysis.\n",
"\n",
"I'll start by getting my Python environment set up. Let's import the necessary libraries and set a couple options, followed by some connection functionality. Then, I'll store the OPC tables in dictionaries with the table name as a key, allowing for easy access to the data."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "c7f63a42-2c27-48d2-802b-437d7e3f6442",
"language": "sql",
"id": "WF1aRpbLIcFP"
},
"outputs": [],
"source": [
"from sqlalchemy import create_engine, text\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"import numpy as np"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "5d9ee88e-1897-4e8f-a9a7-3c18c9130bf6",
"language": "sql",
"id": "XxVrcqfOIcFQ"
},
"outputs": [],
"source": [
"pd.set_option('display.max_rows', None)\n",
"%matplotlib inline\n",
"conn_string = (\"postgresql+psycopg2://{username}:{pwd}@{host}:{port}/{database}\")\n",
"username = \"postgres\"\n",
"pwd = \"postgres\"\n",
"host = \"localhost\"\n",
"port = 5432\n",
"database = \"dsci504\"\n",
"engine = create_engine(conn_string.format(\n",
" username = username,\n",
" pwd = pwd,\n",
" host = host,\n",
" port = port,\n",
" database = database))"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "dd23d480-9bc4-4643-91e1-10545ff4234d",
"id": "rWEBwadbIcFQ"
},
"source": [
"Next, I'll define a list of table names from the `dsci_504` schema and initialize an empty dictionary `opc` to store DataFrames. Then, the code iterates through each table name, constructs a SQL query to select all data from each table, and reads the table into a DataFrame using `pd.read_sql`. Each DataFrame is stored in the dictionary with the table name as the key, allowing for easy access to the data. Finally, we print the keys of the dictionary to verify that the DataFrames have been loaded correctly."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "731d7b4c-56ed-4c3e-bd15-789e6954c44d",
"language": "sql",
"id": "osSs2xNWIcFQ",
"outputId": "ba9eeaca-4cbe-4e8e-ece0-08b657f72a13"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"dict_keys(['builds', 'components', 'states', 'customerwarehouseorders', 'customerwarehousereturns', 'ordertaxes', 'productbuilds', 'products', 'warehouses', 'suppliers', 'taxes', 'orders', 'racs', 'customers'])\n"
]
}
],
"source": [
"tables = [\n",
" 'builds', 'components', 'states', 'customerwarehouseorders', 'customerwarehousereturns',\n",
" 'ordertaxes', 'productbuilds', 'products', 'warehouses', 'suppliers', 'taxes',\n",
" 'orders', 'racs', 'customers']\n",
"opc = {}\n",
"for table in tables:\n",
" query = text(f\"SELECT * FROM dsci_504.{table};\")\n",
" opc[table] = pd.read_sql(query, con=engine)\n",
"print(opc.keys())"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "e5b06783-b1e3-43a3-8ae1-e91cbe88a5ab",
"id": "rTYgUm8XIcFR"
},
"source": [
"Thus, I can access each table in the OPC database via the associated DataFrame by referencing the dictionary with the corresponding table name:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "c97e14e7-be78-4387-b01e-2a27de4a38bb",
"language": "sql",
"id": "Kd-fNhxVIcFS",
"outputId": "595c6308-89a5-4494-a6bc-e2971986b39b"
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>rac_id</th>\n",
" <th>tot_ret_item_cnt</th>\n",
" <th>tot_ret_amnt</th>\n",
" <th>cus_id</th>\n",
" <th>warehouse_id</th>\n",
" <th>prod_id</th>\n",
" <th>ord_id</th>\n",
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" <td>0.0</td>\n",
" <td>1191</td>\n",
" <td>0</td>\n",
" <td>13</td>\n",
" <td>5484681</td>\n",
" <td>41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>179</td>\n",
" <td>2</td>\n",
" <td>1008.0</td>\n",
" <td>1754</td>\n",
" <td>1</td>\n",
" <td>35</td>\n",
" <td>6727420</td>\n",
" <td>59</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>180</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
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" <td>2</td>\n",
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" <td>4711571</td>\n",
" <td>48</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>181</td>\n",
" <td>7</td>\n",
" <td>970.0</td>\n",
" <td>2493</td>\n",
" <td>1</td>\n",
" <td>62</td>\n",
" <td>3555795</td>\n",
" <td>34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>182</td>\n",
" <td>0</td>\n",
" <td>0.0</td>\n",
" <td>512</td>\n",
" <td>1</td>\n",
" <td>46</td>\n",
" <td>5687001</td>\n",
" <td>48</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" rac_id tot_ret_item_cnt tot_ret_amnt cus_id warehouse_id prod_id \\\n",
"0 178 0 0.0 1191 0 13 \n",
"1 179 2 1008.0 1754 1 35 \n",
"2 180 0 0.0 2454 2 46 \n",
"3 181 7 970.0 2493 1 62 \n",
"4 182 0 0.0 512 1 46 \n",
"\n",
" ord_id comp_id \n",
"0 5484681 41 \n",
"1 6727420 59 \n",
"2 4711571 48 \n",
"3 3555795 34 \n",
"4 5687001 48 "
]
},
"execution_count": 75,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"opc['racs'].head()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "010cf680-e19f-471f-bf8b-b47cd70c2566",
"language": "sql",
"id": "2uRsJ2fUIcFS",
"outputId": "d665f02b-fe0f-4633-fa13-12d15357d844"
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>build_id</th>\n",
" <th>comp_hbar</th>\n",
" <th>comp_brake</th>\n",
" <th>comp_wheels</th>\n",
" <th>comp_fork</th>\n",
" <th>comp_shock</th>\n",
" <th>comp_shifter</th>\n",
" <th>comp_cassette</th>\n",
" <th>comp_derail</th>\n",
" <th>comp_dropper</th>\n",
" <th>comp_crank</th>\n",
" <th>comp_chain_ring</th>\n",
" <th>build_name</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>74</td>\n",
" <td>10</td>\n",
" <td>62</td>\n",
" <td>100</td>\n",
" <td>131</td>\n",
" <td>194</td>\n",
" <td>278</td>\n",
" <td>218</td>\n",
" <td>278</td>\n",
" <td>280</td>\n",
" <td>279</td>\n",
" <td>278</td>\n",
" <td>gnar</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>1</td>\n",
" <td>29</td>\n",
" <td>64</td>\n",
" <td>108</td>\n",
" <td>127</td>\n",
" <td>280</td>\n",
" <td>276</td>\n",
" <td>222</td>\n",
" <td>277</td>\n",
" <td>257</td>\n",
" <td>277</td>\n",
" <td>277</td>\n",
" <td>five star</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>23</td>\n",
" <td>36</td>\n",
" <td>61</td>\n",
" <td>88</td>\n",
" <td>114</td>\n",
" <td>280</td>\n",
" <td>61</td>\n",
" <td>219</td>\n",
" <td>273</td>\n",
" <td>247</td>\n",
" <td>273</td>\n",
" <td>273</td>\n",
" <td>mammoth</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>4</td>\n",
" <td>32</td>\n",
" <td>63</td>\n",
" <td>86</td>\n",
" <td>113</td>\n",
" <td>172</td>\n",
" <td>278</td>\n",
" <td>220</td>\n",
" <td>278</td>\n",
" <td>252</td>\n",
" <td>269</td>\n",
" <td>278</td>\n",
" <td>3-star</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>8</td>\n",
" <td>6</td>\n",
" <td>56</td>\n",
" <td>70</td>\n",
" <td>122</td>\n",
" <td>180</td>\n",
" <td>279</td>\n",
" <td>220</td>\n",
" <td>279</td>\n",
" <td>236</td>\n",
" <td>279</td>\n",
" <td>279</td>\n",
" <td>2-star</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" build_id comp_hbar comp_brake comp_wheels comp_fork comp_shock \\\n",
"0 74 10 62 100 131 194 \n",
"1 1 29 64 108 127 280 \n",
"2 23 36 61 88 114 280 \n",
"3 4 32 63 86 113 172 \n",
"4 8 6 56 70 122 180 \n",
"\n",
" comp_shifter comp_cassette comp_derail comp_dropper comp_crank \\\n",
"0 278 218 278 280 279 \n",
"1 276 222 277 257 277 \n",
"2 61 219 273 247 273 \n",
"3 278 220 278 252 269 \n",
"4 279 220 279 236 279 \n",
"\n",
" comp_chain_ring build_name \n",
"0 278 gnar \n",
"1 277 five star \n",
"2 273 mammoth \n",
"3 278 3-star \n",
"4 279 2-star "
]
},
"execution_count": 83,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"opc['builds'].head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "a2999b1c-2bdf-4214-b227-d5a1b440e27b",
"id": "298irA7jIcFS"
},
"source": [
"### Basic Data Investigation\n",
"\n",
"Let's begin our analysis by exploring the data. I'll run a number of queries to investigate basic aspects of the data. Additionally, I will present a few relevant visualizations."
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "52b488bd-9c30-4bfa-922a-77d5939a8faa",
"id": "mb1m542sIcFS"
},
"source": [
"#### Database Structure"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "add1524b-9758-441b-a60d-1bbe8bf07432",
"language": "sql",
"id": "4WAfgYERIcFS",
"outputId": "1c173749-a735-4b81-fc4f-60ee4e9ed78c"
},
"outputs": [
{
"data": {
"text/html": [
"DROP TABLE"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"CREATE TABLE"
]
},
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{
"data": {
"text/html": [
"DO"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"(14 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.016"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"Row Count": "2619",
"Table Name": "customers"
},
{
"Row Count": "2599",
"Table Name": "customerwarehouseorders"
},
{
"Row Count": "2599",
"Table Name": "orders"
},
{
"Row Count": "2599",
"Table Name": "ordertaxes"
},
{
"Row Count": "1024",
"Table Name": "customerwarehousereturns"
},
{
"Row Count": "1024",
"Table Name": "racs"
},
{
"Row Count": "271",
"Table Name": "components"
},
{
"Row Count": "80",
"Table Name": "builds"
},
{
"Row Count": "74",
"Table Name": "suppliers"
},
{
"Row Count": "69",
"Table Name": "products"
},
{
"Row Count": "69",
"Table Name": "productbuilds"
},
{
"Row Count": "31",
"Table Name": "taxes"
},
{
"Row Count": "31",
"Table Name": "states"
},
{
"Row Count": "3",
"Table Name": "warehouses"
}
],
"schema": {
"fields": [
{
"name": "Table Name"
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{
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}
]
}
},
"text/html": [
"<table><tr><th>Table Name</th><th>Row Count</th></tr><tr><td>customers</td><td>2619</td></tr><tr><td>customerwarehouseorders</td><td>2599</td></tr><tr><td>orders</td><td>2599</td></tr><tr><td>ordertaxes</td><td>2599</td></tr><tr><td>customerwarehousereturns</td><td>1024</td></tr><tr><td>racs</td><td>1024</td></tr><tr><td>components</td><td>271</td></tr><tr><td>builds</td><td>80</td></tr><tr><td>suppliers</td><td>74</td></tr><tr><td>products</td><td>69</td></tr><tr><td>productbuilds</td><td>69</td></tr><tr><td>taxes</td><td>31</td></tr><tr><td>states</td><td>31</td></tr><tr><td>warehouses</td><td>3</td></tr></table>"
]
},
"execution_count": 46,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"-- >> Code to get row counts\n",
"-- Drop the temporary table if it exists\n",
"DROP TABLE IF EXISTS temp_table_counts;\n",
"\n",
"-- Create a temporary table to store the results\n",
"CREATE TEMP TABLE temp_table_counts (\n",
" table_name TEXT,\n",
" row_count BIGINT\n",
");\n",
"\n",
"-- Insert row counts into the temporary table using dynamic SQL\n",
"DO $$\n",
"DECLARE\n",
" r RECORD;\n",
" sql TEXT;\n",
"BEGIN\n",
" FOR r IN\n",
" SELECT table_name\n",
" FROM information_schema.tables\n",
" WHERE table_schema = 'dsci_504'\n",
" LOOP\n",
" sql := 'INSERT INTO temp_table_counts SELECT ''' || r.table_name || ''' AS table_name, COUNT(*) AS row_count FROM dsci_504.' || r.table_name;\n",
" EXECUTE sql;\n",
" END LOOP;\n",
"END $$;\n",
"\n",
"-- Query the temporary table to get row counts sorted by row_count\n",
"SELECT\n",
" table_name AS \"Table Name\",\n",
" row_count AS \"Row Count\"\n",
"FROM\n",
" temp_table_counts\n",
"ORDER BY\n",
" row_count DESC;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "345e1db7-aef7-4b70-9f7d-159be6a816ef",
"language": "sql",
"id": "6H6ueXvCIcFT",
"outputId": "cde01f03-13fd-4902-894f-13a3c16cfc8f"
},
"outputs": [
{
"data": {
"text/html": [
"(86 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.072"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"Column Name": "build_id",
"Data Type": "smallint",
"Table Name": "builds"
},
{
"Column Name": "build_name",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_brake",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_cassette",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_chain_ring",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_crank",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_derail",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_dropper",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_fork",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_hbar",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_shifter",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_shock",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_wheels",
"Data Type": "character varying",
"Table Name": "builds"
},
{
"Column Name": "comp_cat",
"Data Type": "character varying",
"Table Name": "components"
},
{
"Column Name": "comp_cost",
"Data Type": "numeric",
"Table Name": "components"
},
{
"Column Name": "comp_id",
"Data Type": "integer",
"Table Name": "components"
},
{
"Column Name": "comp_name",
"Data Type": "character varying",
"Table Name": "components"
},
{
"Column Name": "comp_supplier",
"Data Type": "integer",
"Table Name": "components"
},
{
"Column Name": "cus_add_num",
"Data Type": "bigint",
"Table Name": "customers"
},
{
"Column Name": "cus_address",
"Data Type": "character varying",
"Table Name": "customers"
},
{
"Column Name": "cus_app_cd",
"Data Type": "smallint",
"Table Name": "customers"
},
{
"Column Name": "cus_app_lvl",
"Data Type": "character varying",
"Table Name": "customers"
},
{
"Column Name": "cus_app_num",
"Data Type": "character varying",
"Table Name": "customers"
},
{
"Column Name": "cus_city",
"Data Type": "character varying",
"Table Name": "customers"
},
{
"Column Name": "cus_first_name",
"Data Type": "character varying",
"Table Name": "customers"
},
{
"Column Name": "cus_id",
"Data Type": "integer",
"Table Name": "customers"
},
{
"Column Name": "cus_join_date",
"Data Type": "date",
"Table Name": "customers"
},
{
"Column Name": "cus_last_name",
"Data Type": "character varying",
"Table Name": "customers"
},
{
"Column Name": "cus_num",
"Data Type": "character varying",
"Table Name": "customers"
},
{
"Column Name": "cus_phone",
"Data Type": "bigint",
"Table Name": "customers"
},
{
"Column Name": "cus_state",
"Data Type": "smallint",
"Table Name": "customers"
},
{
"Column Name": "cus_zip",
"Data Type": "bigint",
"Table Name": "customers"
},
{
"Column Name": "tot_ord_qty",
"Data Type": "smallint",
"Table Name": "customers"
},
{
"Column Name": "tot_ord_value",
"Data Type": "numeric",
"Table Name": "customers"
},
{
"Column Name": "cus_id",
"Data Type": "integer",
"Table Name": "customerwarehouseorders"
},
{
"Column Name": "ord_id",
"Data Type": "integer",
"Table Name": "customerwarehouseorders"
},
{
"Column Name": "warehouse_id",
"Data Type": "integer",
"Table Name": "customerwarehouseorders"
},
{
"Column Name": "cus_id",
"Data Type": "integer",
"Table Name": "customerwarehousereturns"
},
{
"Column Name": "ord_id",
"Data Type": "integer",
"Table Name": "customerwarehousereturns"
},
{
"Column Name": "rac_id",
"Data Type": "integer",
"Table Name": "customerwarehousereturns"
},
{
"Column Name": "warehouse_id",
"Data Type": "integer",
"Table Name": "customerwarehousereturns"
},
{
"Column Name": "build_id",
"Data Type": "integer",
"Table Name": "orders"
},
{
"Column Name": "build_idx",
"Data Type": "integer",
"Table Name": "orders"
},
{
"Column Name": "cus_id",
"Data Type": "integer",
"Table Name": "orders"
},
{
"Column Name": "ord_date",
"Data Type": "date",
"Table Name": "orders"
},
{
"Column Name": "ord_id",
"Data Type": "integer",
"Table Name": "orders"
},
{
"Column Name": "ord_ship_add",
"Data Type": "text",
"Table Name": "orders"
},
{
"Column Name": "ord_ship_date",
"Data Type": "date",
"Table Name": "orders"
},
{
"Column Name": "ord_tax_loc",
"Data Type": "integer",
"Table Name": "orders"
},
{
"Column Name": "ord_track_num",
"Data Type": "character",
"Table Name": "orders"
},
{
"Column Name": "order_tot",
"Data Type": "numeric",
"Table Name": "orders"
},
{
"Column Name": "prod_id",
"Data Type": "integer",
"Table Name": "orders"
},
{
"Column Name": "warehouse_id",
"Data Type": "integer",
"Table Name": "orders"
},
{
"Column Name": "ord_date",
"Data Type": "date",
"Table Name": "ordertaxes"
},
{
"Column Name": "ord_id",
"Data Type": "integer",
"Table Name": "ordertaxes"
},
{
"Column Name": "tax_rate",
"Data Type": "numeric",
"Table Name": "ordertaxes"
},
{
"Column Name": "build_id",
"Data Type": "integer",
"Table Name": "productbuilds"
},
{
"Column Name": "prod_id",
"Data Type": "integer",
"Table Name": "productbuilds"
},
{
"Column Name": "country_origin",
"Data Type": "character varying",
"Table Name": "products"
},
{
"Column Name": "prod_cat_name",
"Data Type": "character varying",
"Table Name": "products"
},
{
"Column Name": "prod_class",
"Data Type": "character varying",
"Table Name": "products"
},
{
"Column Name": "prod_description",
"Data Type": "character varying",
"Table Name": "products"
},
{
"Column Name": "prod_id",
"Data Type": "smallint",
"Table Name": "products"
},
{
"Column Name": "prod_manufacturer",
"Data Type": "character varying",
"Table Name": "products"
},
{
"Column Name": "prod_name",
"Data Type": "character varying",
"Table Name": "products"
},
{
"Column Name": "prod_price",
"Data Type": "numeric",
"Table Name": "products"
},
{
"Column Name": "comp_id",
"Data Type": "smallint",
"Table Name": "racs"
},
{
"Column Name": "cus_id",
"Data Type": "smallint",
"Table Name": "racs"
},
{
"Column Name": "ord_id",
"Data Type": "integer",
"Table Name": "racs"
},
{
"Column Name": "prod_id",
"Data Type": "smallint",
"Table Name": "racs"
},
{
"Column Name": "rac_id",
"Data Type": "smallint",
"Table Name": "racs"
},
{
"Column Name": "tot_ret_amnt",
"Data Type": "numeric",
"Table Name": "racs"
},
{
"Column Name": "tot_ret_item_cnt",
"Data Type": "smallint",
"Table Name": "racs"
},
{
"Column Name": "warehouse_id",
"Data Type": "smallint",
"Table Name": "racs"
},
{
"Column Name": "state",
"Data Type": "character varying",
"Table Name": "states"
},
{
"Column Name": "state_id",
"Data Type": "smallint",
"Table Name": "states"
},
{
"Column Name": "sup_ctry",
"Data Type": "character varying",
"Table Name": "suppliers"
},
{
"Column Name": "sup_id",
"Data Type": "integer",
"Table Name": "suppliers"
},
{
"Column Name": "sup_name",
"Data Type": "character varying",
"Table Name": "suppliers"
},
{
"Column Name": "tax_id",
"Data Type": "smallint",
"Table Name": "taxes"
},
{
"Column Name": "tax_loc",
"Data Type": "character varying",
"Table Name": "taxes"
},
{
"Column Name": "tax_rate",
"Data Type": "numeric",
"Table Name": "taxes"
},
{
"Column Name": "region",
"Data Type": "character varying",
"Table Name": "warehouses"
},
{
"Column Name": "warehouse_id",
"Data Type": "smallint",
"Table Name": "warehouses"
},
{
"Column Name": "warehouse_name",
"Data Type": "character varying",
"Table Name": "warehouses"
},
{
"Column Name": "warehouse_state",
"Data Type": "smallint",
"Table Name": "warehouses"
}
],
"schema": {
"fields": [
{
"name": "Table Name"
},
{
"name": "Column Name"
},
{
"name": "Data Type"
}
]
}
},
"text/html": [
"<table><tr><th>Table Name</th><th>Column Name</th><th>Data Type</th></tr><tr><td>builds</td><td>build_id</td><td>smallint</td></tr><tr><td>builds</td><td>build_name</td><td>character varying</td></tr><tr><td>builds</td><td>comp_brake</td><td>character varying</td></tr><tr><td>builds</td><td>comp_cassette</td><td>character varying</td></tr><tr><td>builds</td><td>comp_chain_ring</td><td>character varying</td></tr><tr><td>builds</td><td>comp_crank</td><td>character varying</td></tr><tr><td>builds</td><td>comp_derail</td><td>character varying</td></tr><tr><td>builds</td><td>comp_dropper</td><td>character varying</td></tr><tr><td>builds</td><td>comp_fork</td><td>character varying</td></tr><tr><td>builds</td><td>comp_hbar</td><td>character varying</td></tr><tr><td>builds</td><td>comp_shifter</td><td>character varying</td></tr><tr><td>builds</td><td>comp_shock</td><td>character varying</td></tr><tr><td>builds</td><td>comp_wheels</td><td>character varying</td></tr><tr><td>components</td><td>comp_cat</td><td>character varying</td></tr><tr><td>components</td><td>comp_cost</td><td>numeric</td></tr><tr><td>components</td><td>comp_id</td><td>integer</td></tr><tr><td>components</td><td>comp_name</td><td>character varying</td></tr><tr><td>components</td><td>comp_supplier</td><td>integer</td></tr><tr><td>customers</td><td>cus_add_num</td><td>bigint</td></tr><tr><td>customers</td><td>cus_address</td><td>character varying</td></tr><tr><td>customers</td><td>cus_app_cd</td><td>smallint</td></tr><tr><td>customers</td><td>cus_app_lvl</td><td>character varying</td></tr><tr><td>customers</td><td>cus_app_num</td><td>character varying</td></tr><tr><td>customers</td><td>cus_city</td><td>character varying</td></tr><tr><td>customers</td><td>cus_first_name</td><td>character varying</td></tr><tr><td>customers</td><td>cus_id</td><td>integer</td></tr><tr><td>customers</td><td>cus_join_date</td><td>date</td></tr><tr><td>customers</td><td>cus_last_name</td><td>character varying</td></tr><tr><td>customers</td><td>cus_num</td><td>character varying</td></tr><tr><td>customers</td><td>cus_phone</td><td>bigint</td></tr><tr><td>customers</td><td>cus_state</td><td>smallint</td></tr><tr><td>customers</td><td>cus_zip</td><td>bigint</td></tr><tr><td>customers</td><td>tot_ord_qty</td><td>smallint</td></tr><tr><td>customers</td><td>tot_ord_value</td><td>numeric</td></tr><tr><td>customerwarehouseorders</td><td>cus_id</td><td>integer</td></tr><tr><td>customerwarehouseorders</td><td>ord_id</td><td>integer</td></tr><tr><td>customerwarehouseorders</td><td>warehouse_id</td><td>integer</td></tr><tr><td>customerwarehousereturns</td><td>cus_id</td><td>integer</td></tr><tr><td>customerwarehousereturns</td><td>ord_id</td><td>integer</td></tr><tr><td>customerwarehousereturns</td><td>rac_id</td><td>integer</td></tr><tr><td>customerwarehousereturns</td><td>warehouse_id</td><td>integer</td></tr><tr><td>orders</td><td>build_id</td><td>integer</td></tr><tr><td>orders</td><td>build_idx</td><td>integer</td></tr><tr><td>orders</td><td>cus_id</td><td>integer</td></tr><tr><td>orders</td><td>ord_date</td><td>date</td></tr><tr><td>orders</td><td>ord_id</td><td>integer</td></tr><tr><td>orders</td><td>ord_ship_add</td><td>text</td></tr><tr><td>orders</td><td>ord_ship_date</td><td>date</td></tr><tr><td>orders</td><td>ord_tax_loc</td><td>integer</td></tr><tr><td>orders</td><td>ord_track_num</td><td>character</td></tr><tr><td>orders</td><td>order_tot</td><td>numeric</td></tr><tr><td>orders</td><td>prod_id</td><td>integer</td></tr><tr><td>orders</td><td>warehouse_id</td><td>integer</td></tr><tr><td>ordertaxes</td><td>ord_date</td><td>date</td></tr><tr><td>ordertaxes</td><td>ord_id</td><td>integer</td></tr><tr><td>ordertaxes</td><td>tax_rate</td><td>numeric</td></tr><tr><td>productbuilds</td><td>build_id</td><td>integer</td></tr><tr><td>productbuilds</td><td>prod_id</td><td>integer</td></tr><tr><td>products</td><td>country_origin</td><td>character varying</td></tr><tr><td>products</td><td>prod_cat_name</td><td>character varying</td></tr><tr><td>products</td><td>prod_class</td><td>character varying</td></tr><tr><td>products</td><td>prod_description</td><td>character varying</td></tr><tr><td>products</td><td>prod_id</td><td>smallint</td></tr><tr><td>products</td><td>prod_manufacturer</td><td>character varying</td></tr><tr><td>products</td><td>prod_name</td><td>character varying</td></tr><tr><td>products</td><td>prod_price</td><td>numeric</td></tr><tr><td>racs</td><td>comp_id</td><td>smallint</td></tr><tr><td>racs</td><td>cus_id</td><td>smallint</td></tr><tr><td>racs</td><td>ord_id</td><td>integer</td></tr><tr><td>racs</td><td>prod_id</td><td>smallint</td></tr><tr><td>racs</td><td>rac_id</td><td>smallint</td></tr><tr><td>racs</td><td>tot_ret_amnt</td><td>numeric</td></tr><tr><td>racs</td><td>tot_ret_item_cnt</td><td>smallint</td></tr><tr><td>racs</td><td>warehouse_id</td><td>smallint</td></tr><tr><td>states</td><td>state</td><td>character varying</td></tr><tr><td>states</td><td>state_id</td><td>smallint</td></tr><tr><td>suppliers</td><td>sup_ctry</td><td>character varying</td></tr><tr><td>suppliers</td><td>sup_id</td><td>integer</td></tr><tr><td>suppliers</td><td>sup_name</td><td>character varying</td></tr><tr><td>taxes</td><td>tax_id</td><td>smallint</td></tr><tr><td>taxes</td><td>tax_loc</td><td>character varying</td></tr><tr><td>taxes</td><td>tax_rate</td><td>numeric</td></tr><tr><td>warehouses</td><td>region</td><td>character varying</td></tr><tr><td>warehouses</td><td>warehouse_id</td><td>smallint</td></tr><tr><td>warehouses</td><td>warehouse_name</td><td>character varying</td></tr><tr><td>warehouses</td><td>warehouse_state</td><td>smallint</td></tr></table>"
]
},
"execution_count": 71,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"-- Schema Structure\n",
"SELECT\n",
" table_name AS \"Table Name\",\n",
" column_name AS \"Column Name\",\n",
" data_type AS \"Data Type\"\n",
"FROM\n",
" information_schema.columns\n",
"WHERE\n",
" table_schema = 'dsci_504'\n",
"ORDER BY\n",
" table_name, column_name;"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "f34c4251-0ba5-438a-b633-ae0fd636e925",
"language": "sql",
"id": "wGLvaVwXIcFT"
},
"source": [
"### Database Normalization\n",
"\n",
"In performing my deep analysis on this data, I've noticed a few opportunities to improve the performance of the database. I'll discuss the normalization issues related to customer addresses and customer appreciation data and outline the steps I've taken to resolve these issues and increase the database efficiency."
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "fd5efb44-39c2-47b3-b88f-52bc284af995",
"id": "ePFhNR0DIcFT"
},
"source": [
"#### Address-Related Data\n",
"\n",
"One normalization issue that stands out is that the address-related columns (`cus_add_num`, `cus_address`, `cus_city`, `cus_state`, and `cus_zip`) aren't functionally dependent on the primary key (`cus_id`) of the customers table. Furthermore, the city, state, and zip codes aren't dependent on the addresses either, since there could be multiple zip codes with the same address.\n",
"\n",
"To fix this normalization issue, I'll start by creating two separate tables to store address- and zip-related details separately, defining new primary and foreign keys."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "b3daa6ff-cbf6-40f3-9ed6-2c925ddffa71",
"language": "sql",
"id": "6u5lK450IcFT",
"outputId": "a2a7c70a-43d7-4c61-c36e-9395f8488cb5"
},
"outputs": [
{
"data": {
"text/html": [
"CREATE TABLE"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"CREATE TABLE"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.029"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"CREATE TABLE dsci_504.zip_codes (\n",
" zip_code BIGINT PRIMARY KEY,\n",
" city VARCHAR(50),\n",
" state VARCHAR(50)\n",
");\n",
"\n",
"CREATE TABLE dsci_504.address (\n",
" address_id SERIAL PRIMARY KEY,\n",
" add_num BIGINT,\n",
" street VARCHAR(100),\n",
" zip_code BIGINT,\n",
" FOREIGN KEY (zip_code) REFERENCES dsci_504.zip_codes(zip_code)\n",
");"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "3aa37540-746e-4765-8e96-f4ba4f5b18ea",
"language": "sql",
"id": "Q4CvNvdsIcFT"
},
"source": [
"Then, I'll populate the tables with the correct information and verify the actions."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "a191523e-e195-4ab1-8e63-2f53b32b5f35",
"language": "sql",
"id": "vS8p1IUcIcFT",
"outputId": "3c96c473-c02c-4c06-b2c9-ae1672700fe2"
},
"outputs": [
{
"data": {
"text/html": [
"INSERT 0 2585"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.026"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"INSERT INTO dsci_504.zip_codes (zip_code, city, state)\n",
"SELECT DISTINCT cus_zip, cus_city, cus_state\n",
"FROM dsci_504.customers\n",
"ON CONFLICT (zip_code) DO NOTHING;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "9454b931-a329-41f6-a584-bfb4e4210dd2",
"language": "sql",
"id": "lSQ0JWNbIcFT",
"outputId": "92221afe-436a-4fe1-8159-6a336d4ac12e"
},
"outputs": [
{
"data": {
"text/html": [
"(5 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.017"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"city": " Bayless",
"state": "16",
"zip_code": "95691"
},
{
"city": " Siddon",
"state": "9",
"zip_code": "56205"
},
{
"city": " East Village",
"state": "2",
"zip_code": "93349"
},
{
"city": " Mcarthur Estates",
"state": "29",
"zip_code": "65102"
},
{
"city": " Winthrop Beach",
"state": "5",
"zip_code": "3149"
}
],
"schema": {
"fields": [
{
"name": "zip_code"
},
{
"name": "city"
},
{
"name": "state"
}
]
}
},
"text/html": [
"<table><tr><th>zip_code</th><th>city</th><th>state</th></tr><tr><td>95691</td><td> Bayless</td><td>16</td></tr><tr><td>56205</td><td> Siddon</td><td>9</td></tr><tr><td>93349</td><td> East Village</td><td>2</td></tr><tr><td>65102</td><td> Mcarthur Estates</td><td>29</td></tr><tr><td>3149</td><td> Winthrop Beach</td><td>5</td></tr></table>"
]
},
"execution_count": 21,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SELECT * FROM dsci_504.zip_codes LIMIT 5;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "5b2ab885-acdd-489f-a705-12acfdd2f2e4",
"language": "sql",
"id": "ibVylowMIcFT",
"outputId": "1e619ae4-ecd9-491e-e35f-5048a3859b1e"
},
"outputs": [
{
"data": {
"text/html": [
"INSERT 0 2619"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.033"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"INSERT INTO dsci_504.address (add_num, street, zip_code)\n",
"SELECT DISTINCT cus_add_num, cus_address, cus_zip\n",
"FROM dsci_504.customers;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "74eea99e-8530-4e68-8bf6-da8e190b4a6a",
"language": "sql",
"id": "IjEMhI01IcFT",
"outputId": "ed43b3fd-5029-4d64-8540-31595148656d"
},
"outputs": [
{
"data": {
"text/html": [
"(5 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.019"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"add_num": "85585",
"address_id": "1",
"street": " Quiet Brook Cape",
"zip_code": "79101"
},
{
"add_num": "15553",
"address_id": "2",
"street": "Iron Pony Pathway",
"zip_code": "85944"
},
{
"add_num": "22608",
"address_id": "3",
"street": " Blue Stead",
"zip_code": "21004"
},
{
"add_num": "17602",
"address_id": "4",
"street": " Indian Anchor Link",
"zip_code": "52315"
},
{
"add_num": "5750",
"address_id": "5",
"street": "Grey",
"zip_code": "30865"
}
],
"schema": {
"fields": [
{
"name": "address_id"
},
{
"name": "add_num"
},
{
"name": "street"
},
{
"name": "zip_code"
}
]
}
},
"text/html": [
"<table><tr><th>address_id</th><th>add_num</th><th>street</th><th>zip_code</th></tr><tr><td>1</td><td>85585</td><td> Quiet Brook Cape</td><td>79101</td></tr><tr><td>2</td><td>15553</td><td>Iron Pony Pathway</td><td>85944</td></tr><tr><td>3</td><td>22608</td><td> Blue Stead</td><td>21004</td></tr><tr><td>4</td><td>17602</td><td> Indian Anchor Link</td><td>52315</td></tr><tr><td>5</td><td>5750</td><td>Grey</td><td>30865</td></tr></table>"
]
},
"execution_count": 20,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SELECT * FROM dsci_504.address LIMIT 5;"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "3f6a2753-a253-4558-8bb8-978ca9b1b7da",
"language": "sql",
"id": "AXmAVXV9IcFU"
},
"source": [
"Next, I will to update the `customers` table to reference the `address` table. I'll first verify that my tables have the appropriate columns and data before proceeding."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "527fff96-048d-4d34-b95c-eb2035d0207b",
"language": "sql",
"id": "j-J48i44IcFU",
"outputId": "81365380-ca6b-4d6d-e466-32f56398872c"
},
"outputs": [
{
"data": {
"text/html": [
"(5 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"(5 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.007"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"cus_add_num": "3",
"cus_address": "Rock Creek St.",
"cus_zip": "37128"
},
{
"cus_add_num": "11",
"cus_address": "Bayberry Ave",
"cus_zip": "75115"
},
{
"cus_add_num": "26",
"cus_address": "W. Thatcher Str",
"cus_zip": "53511"
},
{
"cus_add_num": "39",
"cus_address": "Cozy Prairie Hill",
"cus_zip": "78410"
},
{
"cus_add_num": "43",
"cus_address": "Market Ln",
"cus_zip": "48239"
}
],
"schema": {
"fields": [
{
"name": "cus_add_num"
},
{
"name": "cus_address"
},
{
"name": "cus_zip"
}
]
}
},
"text/html": [
"<table><tr><th>cus_add_num</th><th>cus_address</th><th>cus_zip</th></tr><tr><td>3</td><td>Rock Creek St.</td><td>37128</td></tr><tr><td>11</td><td>Bayberry Ave</td><td>75115</td></tr><tr><td>26</td><td>W. Thatcher Str</td><td>53511</td></tr><tr><td>39</td><td>Cozy Prairie Hill</td><td>78410</td></tr><tr><td>43</td><td>Market Ln</td><td>48239</td></tr></table>"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"add_num": "3",
"address_id": "98",
"street": "Rock Creek St.",
"zip_code": "37128"
},
{
"add_num": "11",
"address_id": "775",
"street": "Bayberry Ave",
"zip_code": "75115"
},
{
"add_num": "26",
"address_id": "956",
"street": "W. Thatcher Str",
"zip_code": "53511"
},
{
"add_num": "39",
"address_id": "56",
"street": "Cozy Prairie Hill",
"zip_code": "78410"
},
{
"add_num": "43",
"address_id": "1129",
"street": "Market Ln",
"zip_code": "48239"
}
],
"schema": {
"fields": [
{
"name": "add_num"
},
{
"name": "street"
},
{
"name": "zip_code"
},
{
"name": "address_id"
}
]
}
},
"text/html": [
"<table><tr><th>add_num</th><th>street</th><th>zip_code</th><th>address_id</th></tr><tr><td>3</td><td>Rock Creek St.</td><td>37128</td><td>98</td></tr><tr><td>11</td><td>Bayberry Ave</td><td>75115</td><td>775</td></tr><tr><td>26</td><td>W. Thatcher Str</td><td>53511</td><td>956</td></tr><tr><td>39</td><td>Cozy Prairie Hill</td><td>78410</td><td>56</td></tr><tr><td>43</td><td>Market Ln</td><td>48239</td><td>1129</td></tr></table>"
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SELECT cus_add_num, cus_address, cus_zip from dsci_504.customers ORDER BY cus_add_num limit 5;\n",
"SELECT add_num, street, zip_code, address_id from dsci_504.address ORDER BY add_num limit 5;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "e132a920-0bdc-40fd-9451-369bdfc8ac44",
"language": "sql",
"id": "3asUeXFDIcFU",
"outputId": "7b6351f6-b052-48fc-918a-5961aa5c9cc4"
},
"outputs": [
{
"data": {
"text/html": [
"ALTER TABLE"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"UPDATE 2619"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.052"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ALTER TABLE dsci_504.customers ADD COLUMN address_id INT;\n",
"UPDATE dsci_504.customers c\n",
"SET address_id = a.address_id\n",
"FROM dsci_504.address a\n",
"WHERE c.cus_add_num = a.add_num\n",
" AND c.cus_address = a.street\n",
" AND c.cus_zip = a.zip_code;"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "28995939-2a39-4d55-aebd-a527a7feec35",
"language": "sql",
"id": "q4wjMvE6IcFV"
},
"source": [
"And then I'll verify the new tables before removing the redundant address-related information from the `customers` table."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "e87ee445-8cf9-4817-8005-bbec4c1e5d9a",
"language": "sql",
"tags": [],
"id": "rZP8tboiIcFV",
"outputId": "7241236e-3ada-4061-ee5d-39dc2c66b417"
},
"outputs": [
{
"data": {
"text/html": [
"(5 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"(5 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.023"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"city": " Bayless",
"state": "16",
"zip_code": "95691"
},
{
"city": " Siddon",
"state": "9",
"zip_code": "56205"
},
{
"city": " East Village",
"state": "2",
"zip_code": "93349"
},
{
"city": " Mcarthur Estates",
"state": "29",
"zip_code": "65102"
},
{
"city": " Winthrop Beach",
"state": "5",
"zip_code": "3149"
}
],
"schema": {
"fields": [
{
"name": "zip_code"
},
{
"name": "city"
},
{
"name": "state"
}
]
}
},
"text/html": [
"<table><tr><th>zip_code</th><th>city</th><th>state</th></tr><tr><td>95691</td><td> Bayless</td><td>16</td></tr><tr><td>56205</td><td> Siddon</td><td>9</td></tr><tr><td>93349</td><td> East Village</td><td>2</td></tr><tr><td>65102</td><td> Mcarthur Estates</td><td>29</td></tr><tr><td>3149</td><td> Winthrop Beach</td><td>5</td></tr></table>"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"add_num": "85585",
"address_id": "1",
"street": " Quiet Brook Cape",
"zip_code": "79101"
},
{
"add_num": "15553",
"address_id": "2",
"street": "Iron Pony Pathway",
"zip_code": "85944"
},
{
"add_num": "22608",
"address_id": "3",
"street": " Blue Stead",
"zip_code": "21004"
},
{
"add_num": "17602",
"address_id": "4",
"street": " Indian Anchor Link",
"zip_code": "52315"
},
{
"add_num": "5750",
"address_id": "5",
"street": "Grey",
"zip_code": "30865"
}
],
"schema": {
"fields": [
{
"name": "address_id"
},
{
"name": "add_num"
},
{
"name": "street"
},
{
"name": "zip_code"
}
]
}
},
"text/html": [
"<table><tr><th>address_id</th><th>add_num</th><th>street</th><th>zip_code</th></tr><tr><td>1</td><td>85585</td><td> Quiet Brook Cape</td><td>79101</td></tr><tr><td>2</td><td>15553</td><td>Iron Pony Pathway</td><td>85944</td></tr><tr><td>3</td><td>22608</td><td> Blue Stead</td><td>21004</td></tr><tr><td>4</td><td>17602</td><td> Indian Anchor Link</td><td>52315</td></tr><tr><td>5</td><td>5750</td><td>Grey</td><td>30865</td></tr></table>"
]
},
"execution_count": 22,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SELECT * from dsci_504.zip_codes LIMIT 5;\n",
"SELECT * from dsci_504.address LIMIT 5;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "0635fd2b-c74f-4b70-9e7d-066eaedcc0e0",
"language": "sql",
"id": "MezxIleqIcFV",
"outputId": "32be1685-38d7-4919-d790-0a2bcedf423e"
},
"outputs": [
{
"data": {
"text/html": [
"ALTER TABLE"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.022"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ALTER TABLE dsci_504.customers\n",
"DROP COLUMN cus_add_num,\n",
"DROP COLUMN cus_address,\n",
"DROP COLUMN cus_city,\n",
"DROP COLUMN cus_state,\n",
"DROP COLUMN cus_zip;"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "49d11acf-227d-45f3-9469-5cab998d7436",
"language": "sql",
"id": "PeNsgebqIcFV"
},
"source": [
"Finally, I will define the foreign key relationship between the `customers` table and the `address` table and then verify the newly created foreign key relationships. Since the `address` table already has a foreign key relationship with the `zip_codes` table, it is unnecessary to link the `customers` table directly to the `zip_codes` table. Instead, ensure that the cascading dependencies are properly managed through the `address` table."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "62ac8f2d-965e-4c8d-b675-5c751bd7f1b3",
"language": "sql",
"id": "06cXsLyjIcFV",
"outputId": "9e599f75-b9d1-4b88-d0d1-6fd6af7a8ca7"
},
"outputs": [
{
"data": {
"text/html": [
"ALTER TABLE"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.011"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ALTER TABLE dsci_504.customers\n",
"ADD CONSTRAINT fk_address\n",
"FOREIGN KEY (address_id) REFERENCES dsci_504.address(address_id);"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "8eaac1f9-505a-40f4-8b1f-fa8a920e2d4b",
"language": "sql",
"id": "rR4H6AMtIcFV",
"outputId": "c7e91cfc-2820-4d99-a5f5-d8b9ab78e39e"
},
"outputs": [
{
"data": {
"text/html": [
"(2 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.024"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"column_name": "zip_code",
"constraint_name": "address_zip_code_fkey",
"foreign_column_name": "zip_code",
"foreign_table_name": "zip_codes",
"table_name": "address"
},
{
"column_name": "address_id",
"constraint_name": "fk_address",
"foreign_column_name": "address_id",
"foreign_table_name": "address",
"table_name": "customers"
}
],
"schema": {
"fields": [
{
"name": "constraint_name"
},
{
"name": "table_name"
},
{
"name": "column_name"
},
{
"name": "foreign_table_name"
},
{
"name": "foreign_column_name"
}
]
}
},
"text/html": [
"<table><tr><th>constraint_name</th><th>table_name</th><th>column_name</th><th>foreign_table_name</th><th>foreign_column_name</th></tr><tr><td>address_zip_code_fkey</td><td>address</td><td>zip_code</td><td>zip_codes</td><td>zip_code</td></tr><tr><td>fk_address</td><td>customers</td><td>address_id</td><td>address</td><td>address_id</td></tr></table>"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SELECT\n",
" tc.constraint_name,\n",
" tc.table_name,\n",
" kcu.column_name,\n",
" ccu.table_name AS foreign_table_name,\n",
" ccu.column_name AS foreign_column_name\n",
"FROM\n",
" information_schema.table_constraints AS tc\n",
"JOIN\n",
" information_schema.key_column_usage AS kcu\n",
"ON\n",
" tc.constraint_name = kcu.constraint_name\n",
"JOIN\n",
" information_schema.constraint_column_usage AS ccu\n",
"ON\n",
" ccu.constraint_name = tc.constraint_name\n",
"WHERE\n",
" tc.constraint_type = 'FOREIGN KEY'\n",
" AND (\n",
" (tc.table_name = 'customers' AND kcu.column_name = 'address_id' AND ccu.table_name = 'address' AND ccu.column_name = 'address_id') OR\n",
" (tc.table_name = 'address' AND kcu.column_name = 'zip_code' AND ccu.table_name = 'zip_codes' AND ccu.column_name = 'zip_code')\n",
" );"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "a68ce573-a511-47ab-ac2a-459c6f18fade",
"language": "sql",
"id": "Z6U_YuXRIcFV"
},
"source": [
"By creating separate `zip_codes` and `address` tables and updating the `customers` table to reference these new tables, we ensure that all non-key attributes in the `customers` table are fully functionally dependent on the primary key (`cus_id`). Removing the redundant address-related columns from the `customers` table and defining proper foreign key relationships further enforces 2NF and 3NF. This improves data integrity, reduces redundancy, and makes the database more efficient and easier to maintain."
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "19d59d0a-c290-464e-9eca-e88617e39405",
"id": "m-05B8d0IcFV"
},
"source": [
"#### Appreciation-Related Information\n",
"\n",
"In the `customers` table, we have multiple rows that store appreciation-related information (`cus_app_cd`, `cus_app_num`, `cus_app_lvl`) that is not dependent on the primary key (`cus_id`). To address this, we'll create a separate table for appreciation-related details and update the `customers` table to reference this new table.\n",
"\n",
"I'll first create the new `appreciation` table and populate it with unique appreciation data."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "814a5e92-c672-43d6-8a15-c47652390ab6",
"language": "sql",
"id": "7-CtbDZ2IcFV",
"outputId": "93f2a94a-aef8-4924-8b36-bfa9b4da2c16"
},
"outputs": [
{
"data": {
"text/html": [
"CREATE TABLE"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.005"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"CREATE TABLE dsci_504.appreciation (\n",
" app_num VARCHAR(50) PRIMARY KEY,\n",
" app_cd SMALLINT,\n",
" app_lvl VARCHAR(50)\n",
");"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "0f7510b8-8fde-4bbf-8543-21aa2ae34bc6",
"language": "sql",
"id": "NQpDLf0MIcFW"
},
"source": [
"Then, I'll populate the `appreciation` table with unique appreciation data."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "1153719a-821e-4420-8530-308351a935cf",
"language": "sql",
"tags": [
"hide_input"
],
"id": "TMq-OCqQIcFW",
"outputId": "18658774-c8f3-4f89-f04d-c6769035a955"
},
"outputs": [
{
"ename": "",
"evalue": "duplicate key value violates unique constraint \"appreciation_pkey\"",
"output_type": "error",
"traceback": []
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.043"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"INSERT INTO dsci_504.appreciation (app_num, app_cd, app_lvl)\n",
"SELECT DISTINCT cus_app_num, cus_app_cd, cus_app_lvl\n",
"FROM dsci_504.customers;"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "d5699577-4c6b-4721-bb00-9158b49a7d1c",
"language": "sql",
"id": "N0ZCjcwmIcFW"
},
"source": [
"However, I receive an error saying that there are duplicate values in the `cus_app_num` column of the customers table. Since these values should be unique identifiers, I will investigate the discrepancy.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "c1bf4024-f6c6-48ee-8ae3-c3f0574a7c12",
"language": "sql",
"id": "I6D_zP8eIcFW",
"outputId": "7d2f6e5a-0a93-436d-c5f4-0a4ff337001a"
},
"outputs": [
{
"data": {
"text/html": [
"(2 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.015"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"address_id": "1816",
"cus_app_cd": "4",
"cus_app_lvl": "Moderate",
"cus_app_num": "OPC80509009",
"cus_first_name": "Jack",
"cus_id": "488",
"cus_join_date": "2011-10-19",
"cus_last_name": "Jackson",
"cus_num": "Jac18217",
"cus_phone": "7337088397",
"tot_ord_qty": "99",
"tot_ord_value": "31914"
},
{
"address_id": "2164",
"cus_app_cd": "6",
"cus_app_lvl": "Moderate",
"cus_app_num": "OPC80509009",
"cus_first_name": "Piper",
"cus_id": "796",
"cus_join_date": "2009-07-01",
"cus_last_name": "Sanchez",
"cus_num": "San97567",
"cus_phone": "4204378995",
"tot_ord_qty": "89",
"tot_ord_value": "14614"
}
],
"schema": {
"fields": [
{
"name": "cus_id"
},
{
"name": "cus_num"
},
{
"name": "cus_last_name"
},
{
"name": "cus_first_name"
},
{
"name": "cus_phone"
},
{
"name": "cus_join_date"
},
{
"name": "cus_app_cd"
},
{
"name": "cus_app_num"
},
{
"name": "tot_ord_qty"
},
{
"name": "tot_ord_value"
},
{
"name": "cus_app_lvl"
},
{
"name": "address_id"
}
]
}
},
"text/html": [
"<table><tr><th>cus_id</th><th>cus_num</th><th>cus_last_name</th><th>cus_first_name</th><th>cus_phone</th><th>cus_join_date</th><th>cus_app_cd</th><th>cus_app_num</th><th>tot_ord_qty</th><th>tot_ord_value</th><th>cus_app_lvl</th><th>address_id</th></tr><tr><td>488</td><td>Jac18217</td><td>Jackson</td><td>Jack</td><td>7337088397</td><td>2011-10-19</td><td>4</td><td>OPC80509009</td><td>99</td><td>31914</td><td>Moderate</td><td>1816</td></tr><tr><td>796</td><td>San97567</td><td>Sanchez</td><td>Piper</td><td>4204378995</td><td>2009-07-01</td><td>6</td><td>OPC80509009</td><td>89</td><td>14614</td><td>Moderate</td><td>2164</td></tr></table>"
]
},
"execution_count": 39,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"WITH duplicate_app_nums AS (\n",
" SELECT cus_app_num, COUNT(*)\n",
" FROM dsci_504.customers\n",
" GROUP BY cus_app_num\n",
" HAVING COUNT(*) > 1\n",
")\n",
"SELECT c.*\n",
"FROM dsci_504.customers c\n",
"JOIN duplicate_app_nums d\n",
"ON c.cus_app_num = d.cus_app_num\n",
"ORDER BY c.cus_app_num;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "4847260b-6c04-4a4a-a940-755211e58308",
"language": "sql",
"id": "w3T4YZAvIcFW",
"outputId": "80ff2f0d-6e5f-49d8-f664-678f3ce5ee93"
},
"outputs": [
{
"data": {
"text/html": [
"(0 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.003"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [],
"schema": {
"fields": [
{
"name": "cus_id"
},
{
"name": "cus_num"
},
{
"name": "cus_last_name"
},
{
"name": "cus_first_name"
},
{
"name": "cus_phone"
},
{
"name": "cus_join_date"
},
{
"name": "cus_app_cd"
},
{
"name": "cus_app_num"
},
{
"name": "tot_ord_qty"
},
{
"name": "tot_ord_value"
},
{
"name": "cus_app_lvl"
},
{
"name": "address_id"
}
]
}
},
"text/html": [
"<table><tr><th>cus_id</th><th>cus_num</th><th>cus_last_name</th><th>cus_first_name</th><th>cus_phone</th><th>cus_join_date</th><th>cus_app_cd</th><th>cus_app_num</th><th>tot_ord_qty</th><th>tot_ord_value</th><th>cus_app_lvl</th><th>address_id</th></tr></table>"
]
},
"execution_count": 41,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"select * from dsci_504.customers where cus_app_num = 'OPC80509010';"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "b755d70a-7d27-44c2-a0ce-7c9f7ec82b9b",
"language": "sql",
"id": "wRbNf3xpIcFW"
},
"source": [
"I see one pair of customers with the same customer appreciation numbers. They are both \"moderate\" level customers with nearly 100 total lifetime orders, so I want to keep their information.\n",
"\n",
"I also noticed that no customer has a `cus_app_num` of `OPC80509010`. I'll give the second repeated customer appreciation number this unused ID number and verify my modification before proceeding."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "a89f7af2-8811-4dcb-98c6-13e4b18e49e9",
"language": "sql",
"tags": [],
"id": "kI9opyTzIcFZ",
"outputId": "3ab8312d-9527-4171-9065-ecb7574bb550"
},
"outputs": [
{
"data": {
"text/html": [
"UPDATE 1"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.019"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"WITH DuplicateCustomers AS (\n",
" SELECT\n",
" cus_id,\n",
" cus_app_num,\n",
" ROW_NUMBER() OVER (PARTITION BY cus_app_num ORDER BY cus_id) AS row_num\n",
" FROM\n",
" dsci_504.customers\n",
" WHERE\n",
" cus_app_num = 'OPC80509009'\n",
")\n",
"UPDATE dsci_504.customers\n",
"SET cus_app_num = 'OPC80509010'\n",
"WHERE cus_id IN (\n",
" SELECT cus_id\n",
" FROM DuplicateCustomers\n",
" WHERE row_num = 2\n",
");"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "19bbf5f2-7d52-4a36-8d5d-bb9c96abb076",
"language": "sql",
"id": "9NwTWWJtIcFa",
"outputId": "2d20fc4c-325f-4112-b198-93eac847b05f"
},
"outputs": [
{
"data": {
"text/html": [
"(1 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"(1 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.010"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"address_id": "1816",
"cus_app_cd": "4",
"cus_app_lvl": "Moderate",
"cus_app_num": "OPC80509009",
"cus_first_name": "Jack",
"cus_id": "488",
"cus_join_date": "2011-10-19",
"cus_last_name": "Jackson",
"cus_num": "Jac18217",
"cus_phone": "7337088397",
"tot_ord_qty": "99",
"tot_ord_value": "31914"
}
],
"schema": {
"fields": [
{
"name": "cus_id"
},
{
"name": "cus_num"
},
{
"name": "cus_last_name"
},
{
"name": "cus_first_name"
},
{
"name": "cus_phone"
},
{
"name": "cus_join_date"
},
{
"name": "cus_app_cd"
},
{
"name": "cus_app_num"
},
{
"name": "tot_ord_qty"
},
{
"name": "tot_ord_value"
},
{
"name": "cus_app_lvl"
},
{
"name": "address_id"
}
]
}
},
"text/html": [
"<table><tr><th>cus_id</th><th>cus_num</th><th>cus_last_name</th><th>cus_first_name</th><th>cus_phone</th><th>cus_join_date</th><th>cus_app_cd</th><th>cus_app_num</th><th>tot_ord_qty</th><th>tot_ord_value</th><th>cus_app_lvl</th><th>address_id</th></tr><tr><td>488</td><td>Jac18217</td><td>Jackson</td><td>Jack</td><td>7337088397</td><td>2011-10-19</td><td>4</td><td>OPC80509009</td><td>99</td><td>31914</td><td>Moderate</td><td>1816</td></tr></table>"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"address_id": "2164",
"cus_app_cd": "6",
"cus_app_lvl": "Moderate",
"cus_app_num": "OPC80509010",
"cus_first_name": "Piper",
"cus_id": "796",
"cus_join_date": "2009-07-01",
"cus_last_name": "Sanchez",
"cus_num": "San97567",
"cus_phone": "4204378995",
"tot_ord_qty": "89",
"tot_ord_value": "14614"
}
],
"schema": {
"fields": [
{
"name": "cus_id"
},
{
"name": "cus_num"
},
{
"name": "cus_last_name"
},
{
"name": "cus_first_name"
},
{
"name": "cus_phone"
},
{
"name": "cus_join_date"
},
{
"name": "cus_app_cd"
},
{
"name": "cus_app_num"
},
{
"name": "tot_ord_qty"
},
{
"name": "tot_ord_value"
},
{
"name": "cus_app_lvl"
},
{
"name": "address_id"
}
]
}
},
"text/html": [
"<table><tr><th>cus_id</th><th>cus_num</th><th>cus_last_name</th><th>cus_first_name</th><th>cus_phone</th><th>cus_join_date</th><th>cus_app_cd</th><th>cus_app_num</th><th>tot_ord_qty</th><th>tot_ord_value</th><th>cus_app_lvl</th><th>address_id</th></tr><tr><td>796</td><td>San97567</td><td>Sanchez</td><td>Piper</td><td>4204378995</td><td>2009-07-01</td><td>6</td><td>OPC80509010</td><td>89</td><td>14614</td><td>Moderate</td><td>2164</td></tr></table>"
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"select * from dsci_504.customers where cus_app_num = 'OPC80509009';\n",
"select * from dsci_504.customers where cus_app_num = 'OPC80509010';"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "0d9aa947-3961-47ba-9a27-ce71ac9c01ab",
"language": "sql",
"id": "lak36FbOIcFa"
},
"source": [
"Again, I'll attempt to populate the `appreciation` table with the appropriate data.\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "eb755aca-2429-42e8-8aae-fd596e3dd555",
"language": "sql",
"tags": [],
"id": "161bBj3UIcFa",
"outputId": "f293f4fd-f978-4ca2-c9ba-9ba90f43e19d"
},
"outputs": [
{
"data": {
"text/html": [
"INSERT 0 2619"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.039"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"INSERT INTO dsci_504.appreciation (app_num, app_cd, app_lvl)\n",
"SELECT DISTINCT cus_app_num, cus_app_cd, cus_app_lvl\n",
"FROM dsci_504.customers;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "1adafe34-c962-4536-a5a1-3844b1e36ba6",
"language": "sql",
"id": "Vs89bBrGIcFa",
"outputId": "35327467-3d4a-4fa5-9528-740a97cd8bdb"
},
"outputs": [
{
"data": {
"text/html": [
"(5 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.003"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"app_cd": "1",
"app_lvl": "Low",
"app_num": "OPC80747108"
},
{
"app_cd": "1",
"app_lvl": "Low",
"app_num": "OPC83915012"
},
{
"app_cd": "4",
"app_lvl": "Moderate",
"app_num": "OPC83472037"
},
{
"app_cd": "1",
"app_lvl": "Low",
"app_num": "OPC84545577"
},
{
"app_cd": "4",
"app_lvl": "Moderate",
"app_num": "OPC87965776"
}
],
"schema": {
"fields": [
{
"name": "app_num"
},
{
"name": "app_cd"
},
{
"name": "app_lvl"
}
]
}
},
"text/html": [
"<table><tr><th>app_num</th><th>app_cd</th><th>app_lvl</th></tr><tr><td>OPC80747108</td><td>1</td><td>Low</td></tr><tr><td>OPC83915012</td><td>1</td><td>Low</td></tr><tr><td>OPC83472037</td><td>4</td><td>Moderate</td></tr><tr><td>OPC84545577</td><td>1</td><td>Low</td></tr><tr><td>OPC87965776</td><td>4</td><td>Moderate</td></tr></table>"
]
},
"execution_count": 48,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SELECT * FROM dsci_504.appreciation LIMIT 5;"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "0554e087-c507-4b8e-aaa8-570fadf4cf92",
"language": "sql",
"id": "Ap7KN4dhIcFa"
},
"source": [
"Success!"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "f86cabb7-a8d6-43d1-b8ac-bd3b607e2ce4",
"id": "Z9AEyaz4IcFa"
},
"source": [
"Next, I'll update the `customers` table to reference the `appreciation` table, remove the redundant appreciation-related columns from the `customers` table, and verify my work."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "c88d49ff-ea49-46fe-902a-22814a501932",
"language": "sql",
"tags": [],
"id": "Z7QweLT8IcFa",
"outputId": "e5b9a6e1-b23c-4891-c6b9-cedb84eddb12"
},
"outputs": [
{
"data": {
"text/html": [
"ALTER TABLE"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.011"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ALTER TABLE dsci_504.customers\n",
"ADD CONSTRAINT fk_appreciation\n",
"FOREIGN KEY (cus_app_num) REFERENCES dsci_504.appreciation(app_num);"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "7ec7116d-0996-4e14-81ce-219e4ddfebc9",
"language": "sql",
"id": "3JokGfUfIcFa",
"outputId": "4d123065-7e67-4454-88df-0e3a26884a32"
},
"outputs": [
{
"data": {
"text/html": [
"ALTER TABLE"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.002"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ALTER TABLE dsci_504.customers\n",
"DROP COLUMN cus_app_cd,\n",
"DROP COLUMN cus_app_lvl;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "cda591d5-3e70-4642-a447-9fdcd04f04f9",
"language": "sql",
"id": "qtYMFs7DIcFa",
"outputId": "7233f494-55c9-4c3a-9ad8-2d9d425dc830"
},
"outputs": [
{
"data": {
"text/html": [
"(1 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.015"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"column_name": "cus_app_num",
"constraint_name": "fk_appreciation",
"foreign_column_name": "app_num",
"foreign_table_name": "appreciation",
"table_name": "customers"
}
],
"schema": {
"fields": [
{
"name": "constraint_name"
},
{
"name": "table_name"
},
{
"name": "column_name"
},
{
"name": "foreign_table_name"
},
{
"name": "foreign_column_name"
}
]
}
},
"text/html": [
"<table><tr><th>constraint_name</th><th>table_name</th><th>column_name</th><th>foreign_table_name</th><th>foreign_column_name</th></tr><tr><td>fk_appreciation</td><td>customers</td><td>cus_app_num</td><td>appreciation</td><td>app_num</td></tr></table>"
]
},
"execution_count": 51,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SELECT\n",
" tc.constraint_name,\n",
" tc.table_name,\n",
" kcu.column_name,\n",
" ccu.table_name AS foreign_table_name,\n",
" ccu.column_name AS foreign_column_name\n",
"FROM\n",
" information_schema.table_constraints AS tc\n",
"JOIN\n",
" information_schema.key_column_usage AS kcu\n",
"ON\n",
" tc.constraint_name = kcu.constraint_name\n",
"JOIN\n",
" information_schema.constraint_column_usage AS ccu\n",
"ON\n",
" ccu.constraint_name = tc.constraint_name\n",
"WHERE\n",
" tc.constraint_type = 'FOREIGN KEY'\n",
" AND tc.table_name = 'customers'\n",
" AND kcu.column_name = 'cus_app_num'\n",
" AND ccu.table_name = 'appreciation'\n",
" AND ccu.column_name = 'app_num';\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "a7188deb-eff3-4b8c-8e95-02ec1b2390a6",
"language": "sql",
"id": "45oLoOwKIcFa",
"outputId": "5c5ffd00-24a3-453d-d3ad-068edfa54e42"
},
"outputs": [
{
"data": {
"text/html": [
"(1 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.013"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"column_name": "cus_app_cd"
}
],
"schema": {
"fields": [
{
"name": "column_name"
}
]
}
},
"text/html": [
"<table><tr><th>column_name</th></tr><tr><td>cus_app_cd</td></tr></table>"
]
},
"execution_count": 52,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SELECT column_name\n",
"FROM information_schema.columns\n",
"WHERE table_name = 'customers'\n",
"AND column_name IN ('cus_app_cd', 'cus_app_lvl');"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "6d8235ca-683b-40fd-b9e1-4caca769bbcf",
"language": "sql",
"id": "J78Wwn4UIcFa"
},
"source": [
"By creating the `appreciation` table and updating the `customers` table to reference this new table directly using the `cus_app_num` column, we ensure that the appreciation-related data is normalized. This step ensures that all non-key attributes in the `customers` table are fully functionally dependent on the primary key (`cus_id`). Removing the redundant appreciation-related columns from the `customers` table further enforces 2NF and 3NF, improving data integrity, additionally reducing redundancy, and ultimately making the database more efficient and easier to maintain."
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "35c5b47b-f744-4b5c-b801-887021e57def",
"id": "Q5jHGldeIcFa"
},
"source": [
"### Products"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "fafdf9d9-ba25-4c0c-bd8d-7c845d6e15dd",
"id": "kXZXazcBIcFa"
},
"source": [
"#### Product Summary"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "a9843db0-3d1e-4b0e-b773-3423a146aad1",
"language": "sql",
"tags": [],
"id": "hPrdt-s0IcFa",
"outputId": "a4fa6ef4-8763-457f-9317-89d5eca61aac"
},
"outputs": [
{
"data": {
"text/html": [
"(67 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.031"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"Product Class": "Mid",
"Product Manufacturer": "Cannondale",
"Product Name": "Habit"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Cannondale",
"Product Name": "Jekyll"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Cannondale",
"Product Name": "Scalpel"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Commencal",
"Product Name": "Clash"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Commencal",
"Product Name": "Meta Am"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Cube",
"Product Name": "AMD"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Cube",
"Product Name": "Stereo"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Devinci",
"Product Name": "Troy"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Eminent",
"Product Name": "Haste"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Eminent",
"Product Name": "Onset"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Evil",
"Product Name": "Following"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Evil",
"Product Name": "Insurgent"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Evil",
"Product Name": "Wreckoning"
},
{
"Product Class": "Mid",
"Product Manufacturer": "GT",
"Product Name": "Force"
},
{
"Product Class": "Mid",
"Product Manufacturer": "GT",
"Product Name": "Sensor"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Giant",
"Product Name": "Trance"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Giant",
"Product Name": "X Trance"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Guerrila Gravity",
"Product Name": "Gnarvana"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Guerrila Gravity",
"Product Name": "Megatrail"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Guerrila Gravity",
"Product Name": "Shredd Dog"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Guerrila Gravity",
"Product Name": "The Smash"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Guerrila Gravity",
"Product Name": "Trail Pistol"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Ibis",
"Product Name": "DV9"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Ibis",
"Product Name": "Mojo"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Ibis",
"Product Name": "Ripley"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Ibis",
"Product Name": "Ripmo"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Intense",
"Product Name": "Primer"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Intense",
"Product Name": "Sniper"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Intense",
"Product Name": "Tracer"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Kona",
"Product Name": "Hei Hei"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Kona",
"Product Name": "Process 134"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Kona",
"Product Name": "Process 153"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Mondraker",
"Product Name": "Foxy"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Mondraker",
"Product Name": "SuperFoxy"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Niner",
"Product Name": "Air9"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Niner",
"Product Name": "Jet9"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Niner",
"Product Name": "RKT9"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Niner",
"Product Name": "Rip9"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Norco",
"Product Name": "Optic"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Norco",
"Product Name": "Sight"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Nukeproof",
"Product Name": "Mega"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Nukeproof",
"Product Name": "Reactor"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Nukeproof",
"Product Name": "Scout"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Orbea",
"Product Name": "OIZ"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Orbea",
"Product Name": "Occam"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Orbea",
"Product Name": "Occam"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Pivot",
"Product Name": "Firebird"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Revel",
"Product Name": "Rail"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Rocky Mountain",
"Product Name": "Altitude"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Rocky Mountain",
"Product Name": "Element"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Rocky Mountain",
"Product Name": "Instinct"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Rocky Mountain",
"Product Name": "Thunderbolt"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Santa Cruz",
"Product Name": "Chameleon"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Santa Cruz",
"Product Name": "Hightower"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Santa Cruz",
"Product Name": "Megatower"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Santa Cruz",
"Product Name": "Tallboy"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Specialized",
"Product Name": "Enduro"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Specialized",
"Product Name": "Stumpjumper"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Whyte",
"Product Name": "E-Series"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Whyte",
"Product Name": "G-Series"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Whyte",
"Product Name": "T-Series"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Yeti",
"Product Name": "SB100"
},
{
"Product Class": "Mid",
"Product Manufacturer": "Yeti",
"Product Name": "SB115"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Yeti",
"Product Name": "SB130"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Yeti",
"Product Name": "SB140"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Yeti",
"Product Name": "SB150"
},
{
"Product Class": "Expert",
"Product Manufacturer": "Yeti",
"Product Name": "SB160"
}
],
"schema": {
"fields": [
{
"name": "Product Name"
},
{
"name": "Product Class"
},
{
"name": "Product Manufacturer"
}
]
}
},
"text/html": [
"<table><tr><th>Product Name</th><th>Product Class</th><th>Product Manufacturer</th></tr><tr><td>Habit</td><td>Mid</td><td>Cannondale</td></tr><tr><td>Jekyll</td><td>Mid</td><td>Cannondale</td></tr><tr><td>Scalpel</td><td>Mid</td><td>Cannondale</td></tr><tr><td>Clash</td><td>Mid</td><td>Commencal</td></tr><tr><td>Meta Am</td><td>Mid</td><td>Commencal</td></tr><tr><td>AMD</td><td>Mid</td><td>Cube</td></tr><tr><td>Stereo</td><td>Expert</td><td>Cube</td></tr><tr><td>Troy</td><td>Mid</td><td>Devinci</td></tr><tr><td>Haste</td><td>Mid</td><td>Eminent</td></tr><tr><td>Onset</td><td>Mid</td><td>Eminent</td></tr><tr><td>Following</td><td>Expert</td><td>Evil</td></tr><tr><td>Insurgent</td><td>Mid</td><td>Evil</td></tr><tr><td>Wreckoning</td><td>Expert</td><td>Evil</td></tr><tr><td>Force</td><td>Mid</td><td>GT</td></tr><tr><td>Sensor</td><td>Mid</td><td>GT</td></tr><tr><td>Trance</td><td>Mid</td><td>Giant</td></tr><tr><td>X Trance</td><td>Expert</td><td>Giant</td></tr><tr><td>Gnarvana</td><td>Expert</td><td>Guerrila Gravity</td></tr><tr><td>Megatrail</td><td>Mid</td><td>Guerrila Gravity</td></tr><tr><td>Shredd Dog</td><td>Expert</td><td>Guerrila Gravity</td></tr><tr><td>The Smash</td><td>Mid</td><td>Guerrila Gravity</td></tr><tr><td>Trail Pistol</td><td>Expert</td><td>Guerrila Gravity</td></tr><tr><td>DV9</td><td>Mid</td><td>Ibis</td></tr><tr><td>Mojo</td><td>Expert</td><td>Ibis</td></tr><tr><td>Ripley</td><td>Mid</td><td>Ibis</td></tr><tr><td>Ripmo</td><td>Mid</td><td>Ibis</td></tr><tr><td>Primer</td><td>Mid</td><td>Intense</td></tr><tr><td>Sniper</td><td>Mid</td><td>Intense</td></tr><tr><td>Tracer</td><td>Mid</td><td>Intense</td></tr><tr><td>Hei Hei</td><td>Mid</td><td>Kona</td></tr><tr><td>Process 134</td><td>Mid</td><td>Kona</td></tr><tr><td>Process 153</td><td>Mid</td><td>Kona</td></tr><tr><td>Foxy</td><td>Mid</td><td>Mondraker</td></tr><tr><td>SuperFoxy</td><td>Expert</td><td>Mondraker</td></tr><tr><td>Air9</td><td>Mid</td><td>Niner</td></tr><tr><td>Jet9</td><td>Mid</td><td>Niner</td></tr><tr><td>RKT9</td><td>Mid</td><td>Niner</td></tr><tr><td>Rip9</td><td>Mid</td><td>Niner</td></tr><tr><td>Optic</td><td>Mid</td><td>Norco</td></tr><tr><td>Sight</td><td>Mid</td><td>Norco</td></tr><tr><td>Mega</td><td>Mid</td><td>Nukeproof</td></tr><tr><td>Reactor</td><td>Mid</td><td>Nukeproof</td></tr><tr><td>Scout</td><td>Mid</td><td>Nukeproof</td></tr><tr><td>OIZ</td><td>Mid</td><td>Orbea</td></tr><tr><td>Occam</td><td>Mid</td><td>Orbea</td></tr><tr><td>Occam</td><td>Mid</td><td>Orbea</td></tr><tr><td>Firebird</td><td>Expert</td><td>Pivot</td></tr><tr><td>Rail</td><td>Expert</td><td>Revel</td></tr><tr><td>Altitude</td><td>Expert</td><td>Rocky Mountain</td></tr><tr><td>Element</td><td>Mid</td><td>Rocky Mountain</td></tr><tr><td>Instinct</td><td>Mid</td><td>Rocky Mountain</td></tr><tr><td>Thunderbolt</td><td>Mid</td><td>Rocky Mountain</td></tr><tr><td>Chameleon</td><td>Mid</td><td>Santa Cruz</td></tr><tr><td>Hightower</td><td>Mid</td><td>Santa Cruz</td></tr><tr><td>Megatower</td><td>Expert</td><td>Santa Cruz</td></tr><tr><td>Tallboy</td><td>Mid</td><td>Santa Cruz</td></tr><tr><td>Enduro</td><td>Expert</td><td>Specialized</td></tr><tr><td>Stumpjumper</td><td>Expert</td><td>Specialized</td></tr><tr><td>E-Series</td><td>Expert</td><td>Whyte</td></tr><tr><td>G-Series</td><td>Expert</td><td>Whyte</td></tr><tr><td>T-Series</td><td>Mid</td><td>Whyte</td></tr><tr><td>SB100</td><td>Expert</td><td>Yeti</td></tr><tr><td>SB115</td><td>Mid</td><td>Yeti</td></tr><tr><td>SB130</td><td>Expert</td><td>Yeti</td></tr><tr><td>SB140</td><td>Expert</td><td>Yeti</td></tr><tr><td>SB150</td><td>Expert</td><td>Yeti</td></tr><tr><td>SB160</td><td>Expert</td><td>Yeti</td></tr></table>"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"-- Product Summary\n",
"SELECT\n",
" p.prod_name AS \"Product Name\",\n",
" p.prod_class AS \"Product Class\",\n",
" s.sup_name AS \"Product Manufacturer\"\n",
"FROM\n",
" dsci_504.products p\n",
"JOIN\n",
" dsci_504.suppliers s ON p.prod_manufacturer::integer = s.sup_id\n",
"ORDER BY\n",
" \"Product Manufacturer\", \"Product Name\";"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "c648c085-afb0-4f7f-983d-c05ed403a3a5",
"id": "-_hry9OXIcFa"
},
"source": [
"#### Top 20 Product Configurations"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "0b39807a-06d4-481e-b446-f80dfb5d0a52",
"language": "sql",
"tags": [],
"id": "VsYlHGhUIcFa",
"outputId": "5939d616-f4f8-4d33-8c0c-cdef6533aff7"
},
"outputs": [
{
"data": {
"text/html": [
"(20 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.014"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"order_count": "45",
"prod_name": "Rail",
"total_sales": "348444.86"
},
{
"order_count": "40",
"prod_name": "SB160",
"total_sales": "324004.05"
},
{
"order_count": "76",
"prod_name": "Occam",
"total_sales": "319280.00"
},
{
"order_count": "51",
"prod_name": "Altitude",
"total_sales": "313788.49"
},
{
"order_count": "37",
"prod_name": "SB150",
"total_sales": "306540"
},
{
"order_count": "42",
"prod_name": "Gnarvana",
"total_sales": "280900.42"
},
{
"order_count": "36",
"prod_name": "Wreckoning",
"total_sales": "278751.80"
},
{
"order_count": "34",
"prod_name": "E-Series",
"total_sales": "269617.46"
},
{
"order_count": "42",
"prod_name": "Firebird",
"total_sales": "259038.39"
},
{
"order_count": "47",
"prod_name": "Mojo",
"total_sales": "255649.16"
},
{
"order_count": "40",
"prod_name": "Stereo",
"total_sales": "235657.41"
},
{
"order_count": "48",
"prod_name": "Meta Am",
"total_sales": "235024.36"
},
{
"order_count": "35",
"prod_name": "SuperFoxy",
"total_sales": "230741.87"
},
{
"order_count": "49",
"prod_name": "Sight",
"total_sales": "226544.40"
},
{
"order_count": "37",
"prod_name": "Following",
"total_sales": "225652.19"
},
{
"order_count": "39",
"prod_name": "Trail Pistol",
"total_sales": "219938.50"
},
{
"order_count": "37",
"prod_name": "X Trance",
"total_sales": "212526.77"
},
{
"order_count": "31",
"prod_name": "Megatower",
"total_sales": "211932.95"
},
{
"order_count": "50",
"prod_name": "Clash",
"total_sales": "208997.77"
},
{
"order_count": "47",
"prod_name": "Hei Hei",
"total_sales": "208890.22"
}
],
"schema": {
"fields": [
{
"name": "prod_name"
},
{
"name": "total_sales"
},
{
"name": "order_count"
}
]
}
},
"text/html": [
"<table><tr><th>prod_name</th><th>total_sales</th><th>order_count</th></tr><tr><td>Rail</td><td>348444.86</td><td>45</td></tr><tr><td>SB160</td><td>324004.05</td><td>40</td></tr><tr><td>Occam</td><td>319280.00</td><td>76</td></tr><tr><td>Altitude</td><td>313788.49</td><td>51</td></tr><tr><td>SB150</td><td>306540</td><td>37</td></tr><tr><td>Gnarvana</td><td>280900.42</td><td>42</td></tr><tr><td>Wreckoning</td><td>278751.80</td><td>36</td></tr><tr><td>E-Series</td><td>269617.46</td><td>34</td></tr><tr><td>Firebird</td><td>259038.39</td><td>42</td></tr><tr><td>Mojo</td><td>255649.16</td><td>47</td></tr><tr><td>Stereo</td><td>235657.41</td><td>40</td></tr><tr><td>Meta Am</td><td>235024.36</td><td>48</td></tr><tr><td>SuperFoxy</td><td>230741.87</td><td>35</td></tr><tr><td>Sight</td><td>226544.40</td><td>49</td></tr><tr><td>Following</td><td>225652.19</td><td>37</td></tr><tr><td>Trail Pistol</td><td>219938.50</td><td>39</td></tr><tr><td>X Trance</td><td>212526.77</td><td>37</td></tr><tr><td>Megatower</td><td>211932.95</td><td>31</td></tr><tr><td>Clash</td><td>208997.77</td><td>50</td></tr><tr><td>Hei Hei</td><td>208890.22</td><td>47</td></tr></table>"
]
},
"execution_count": 77,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SELECT p.prod_name, SUM(o.order_tot) AS total_sales, COUNT(o.ord_id) AS order_count\n",
"FROM dsci_504.orders o\n",
"JOIN dsci_504.products p ON o.prod_id = p.prod_id\n",
"GROUP BY p.prod_nam\n",
"ORDER BY total_sales DESC\n",
"LIMIT 20;"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "74e9b2e3-c598-4cd5-8c01-ec929c60280c",
"id": "8tbw5e65IcFb"
},
"source": [
"#### Top 20 Products by Total Sales and Order Count\n",
"\n",
"I want to show this relationship from two perspectives. I'll start with sorting by total sales."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "6d5a80b9-3dfc-4ee6-bee3-06f6124fc45b",
"language": "sql",
"id": "2Sdk8t47IcFb",
"outputId": "fec7d7da-e1a7-46e4-f6fa-e667c777b5db"
},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1200x600 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"orders_df = opc['orders']\n",
"products_df = opc['products']\n",
"merged_df = pd.merge(orders_df, products_df, on='prod_id')\n",
"aggregated_df = merged_df.groupby('prod_name').agg(\n",
" total_sales=pd.NamedAgg(column='order_tot', aggfunc='sum'),\n",
" order_count=pd.NamedAgg(column='ord_id', aggfunc='count')\n",
").reset_index()\n",
"aggregated_df = aggregated_df.sort_values(by='total_sales', ascending=False).head(20)\n",
"\n",
"# Create the plot\n",
"fig, ax1 = plt.subplots(figsize=(12, 6))\n",
"color = 'b'\n",
"ax1.set_xlabel('Product Name')\n",
"ax1.set_ylabel('Total Sales', color=color)\n",
"bars = ax1.bar(aggregated_df['prod_name'], aggregated_df['total_sales'], color=color, label='Total Sales', width=1)\n",
"ax1.tick_params(axis='y', labelcolor=color)\n",
"ax1.tick_params(axis='x', rotation=45)\n",
"ax2 = ax1.twinx()\n",
"color = 'r'\n",
"ax2.set_ylabel('Order Count', color=color)\n",
"lines = ax2.plot(aggregated_df['prod_name'], aggregated_df['order_count'], color=color, marker='o', label='Order Count', linewidth=3)\n",
"ax2.tick_params(axis='y', labelcolor=color)\n",
"plt.title('Top 20 Products by Total Sales and Order Count', fontsize=18)\n",
"fig.tight_layout()\n",
"bars_patch = bars[0]\n",
"lines_patch = lines[0]\n",
"fig.legend([bars_patch, lines_patch], ['Total Sales', 'Order Count'], loc='upper right', bbox_to_anchor=(0.9, 0.9))\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "ef57f4e9-5815-45d8-99a8-568f3ff57b49",
"id": "cVTv87M8IcFb"
},
"source": [
"#### Top 20 Products by Order Count and Total Sales\n",
"\n",
"Next, I'll sort by Order Count."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "6b7a7c70-66e4-4b81-adfb-91ec4148dbcd",
"language": "sql",
"id": "3kdOeDTjIcFb",
"outputId": "b1fcf2d5-b4e9-4c91-f867-33b4cb4e5b8e"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x600 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"orders_df = opc['orders']\n",
"products_df = opc['products']\n",
"merged_df = pd.merge(orders_df, products_df, on='prod_id')\n",
"aggregated_df = merged_df.groupby('prod_name').agg(\n",
" total_sales=pd.NamedAgg(column='order_tot', aggfunc='sum'),\n",
" order_count=pd.NamedAgg(column='ord_id', aggfunc='count')\n",
").reset_index()\n",
"aggregated_df = aggregated_df.sort_values(by='order_count', ascending=False).head(20)\n",
"\n",
"# Create the plot\n",
"fig, ax1 = plt.subplots(figsize=(12, 6))\n",
"color = 'b'\n",
"ax1.set_xlabel('Product Name')\n",
"ax1.set_ylabel('Total Sales', color=color)\n",
"bars = ax1.bar(aggregated_df['prod_name'], aggregated_df['total_sales'], color=color, label='Total Sales', width=1)\n",
"ax1.tick_params(axis='y', labelcolor=color)\n",
"ax1.tick_params(axis='x', rotation=45)\n",
"ax2 = ax1.twinx()\n",
"color = 'r'\n",
"ax2.set_ylabel('Order Count', color=color)\n",
"lines = ax2.plot(aggregated_df['prod_name'], aggregated_df['order_count'], color=color, marker='o', label='Order Count', linewidth=3)\n",
"ax2.tick_params(axis='y', labelcolor=color)\n",
"plt.title('Top 20 Products by Order Count and Total Sales', fontsize=18)\n",
"fig.tight_layout()\n",
"bars_patch = bars[0]\n",
"lines_patch = lines[0]\n",
"fig.legend([bars_patch, lines_patch], ['Total Sales', 'Order Count'], loc='upper right', bbox_to_anchor=(0.9, 0.9))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "ee6d07d3-671c-4708-b845-d4d7ad67665e",
"id": "SFiu8ewyIcFb"
},
"source": [
"#### Top Products\n",
"\n",
"Let's look at the intersection of these viewpoints. Which products are top products by both order count _and_ total sales? We can use a join as well as a window function."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
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"outputs": [
{
"data": {
"text/html": [
"(10 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.033"
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},
"metadata": {},
"output_type": "display_data"
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{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"order_count": "76",
"prod_name": "Occam",
"total_sales": "319280.00"
},
{
"order_count": "51",
"prod_name": "Altitude",
"total_sales": "313788.49"
},
{
"order_count": "50",
"prod_name": "Clash",
"total_sales": "208997.77"
},
{
"order_count": "49",
"prod_name": "Sight",
"total_sales": "226544.40"
},
{
"order_count": "48",
"prod_name": "Meta Am",
"total_sales": "235024.36"
},
{
"order_count": "47",
"prod_name": "Mojo",
"total_sales": "255649.16"
},
{
"order_count": "47",
"prod_name": "Hei Hei",
"total_sales": "208890.22"
},
{
"order_count": "45",
"prod_name": "Rail",
"total_sales": "348444.86"
},
{
"order_count": "42",
"prod_name": "Gnarvana",
"total_sales": "280900.42"
},
{
"order_count": "42",
"prod_name": "Firebird",
"total_sales": "259038.39"
}
],
"schema": {
"fields": [
{
"name": "prod_name"
},
{
"name": "total_sales"
},
{
"name": "order_count"
}
]
}
},
"text/html": [
"<table><tr><th>prod_name</th><th>total_sales</th><th>order_count</th></tr><tr><td>Occam</td><td>319280.00</td><td>76</td></tr><tr><td>Altitude</td><td>313788.49</td><td>51</td></tr><tr><td>Clash</td><td>208997.77</td><td>50</td></tr><tr><td>Sight</td><td>226544.40</td><td>49</td></tr><tr><td>Meta Am</td><td>235024.36</td><td>48</td></tr><tr><td>Mojo</td><td>255649.16</td><td>47</td></tr><tr><td>Hei Hei</td><td>208890.22</td><td>47</td></tr><tr><td>Rail</td><td>348444.86</td><td>45</td></tr><tr><td>Gnarvana</td><td>280900.42</td><td>42</td></tr><tr><td>Firebird</td><td>259038.39</td><td>42</td></tr></table>"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"-- Find the top 20 products by total sales\n",
"WITH top_total_sales AS (\n",
" SELECT\n",
" p.prod_name,\n",
" SUM(o.order_tot) AS total_sales\n",
" FROM\n",
" dsci_504.orders o\n",
" JOIN\n",
" dsci_504.products p ON o.prod_id = p.prod_id\n",
" GROUP BY\n",
" p.prod_name\n",
" ORDER BY\n",
" total_sales DESC\n",
" LIMIT 20\n",
"),\n",
"\n",
"-- Find the top 20 products by order count\n",
"top_order_count AS (\n",
" SELECT\n",
" p.prod_name,\n",
" COUNT(o.ord_id) AS order_count\n",
" FROM\n",
" dsci_504.orders o\n",
" JOIN\n",
" dsci_504.products p ON o.prod_id = p.prod_id\n",
" GROUP BY\n",
" p.prod_name\n",
" ORDER BY\n",
" order_count DESC\n",
" LIMIT 20\n",
")\n",
"\n",
"-- Find the intersection of the top products by both total sales and order count\n",
"SELECT\n",
" t1.prod_name,\n",
" t1.total_sales,\n",
" t2.order_count\n",
"FROM\n",
" top_total_sales t1\n",
"JOIN\n",
" top_order_count t2 ON t1.prod_name = t2.prod_name;\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "21405232-9364-46f7-8f4c-64ee90979f0c",
"language": "sql",
"id": "Vs6R94U6IcFb",
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},
"outputs": [
{
"data": {
"text/html": [
"(12 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.005"
]
},
"metadata": {},
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{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"count_rank": "1",
"order_count": "76",
"prod_name": "Occam",
"sales_rank": "3",
"total_sales": "319280.00"
},
{
"count_rank": "2",
"order_count": "51",
"prod_name": "Altitude",
"sales_rank": "4",
"total_sales": "313788.49"
},
{
"count_rank": "3",
"order_count": "50",
"prod_name": "Clash",
"sales_rank": "19",
"total_sales": "208997.77"
},
{
"count_rank": "4",
"order_count": "49",
"prod_name": "Sight",
"sales_rank": "14",
"total_sales": "226544.40"
},
{
"count_rank": "6",
"order_count": "48",
"prod_name": "Meta Am",
"sales_rank": "12",
"total_sales": "235024.36"
},
{
"count_rank": "7",
"order_count": "47",
"prod_name": "Mojo",
"sales_rank": "10",
"total_sales": "255649.16"
},
{
"count_rank": "7",
"order_count": "47",
"prod_name": "Hei Hei",
"sales_rank": "20",
"total_sales": "208890.22"
},
{
"count_rank": "10",
"order_count": "45",
"prod_name": "Rail",
"sales_rank": "1",
"total_sales": "348444.86"
},
{
"count_rank": "16",
"order_count": "42",
"prod_name": "Gnarvana",
"sales_rank": "6",
"total_sales": "280900.42"
},
{
"count_rank": "16",
"order_count": "42",
"prod_name": "Firebird",
"sales_rank": "9",
"total_sales": "259038.39"
},
{
"count_rank": "20",
"order_count": "40",
"prod_name": "SB160",
"sales_rank": "2",
"total_sales": "324004.05"
},
{
"count_rank": "20",
"order_count": "40",
"prod_name": "Stereo",
"sales_rank": "11",
"total_sales": "235657.41"
}
],
"schema": {
"fields": [
{
"name": "prod_name"
},
{
"name": "total_sales"
},
{
"name": "sales_rank"
},
{
"name": "order_count"
},
{
"name": "count_rank"
}
]
}
},
"text/html": [
"<table><tr><th>prod_name</th><th>total_sales</th><th>sales_rank</th><th>order_count</th><th>count_rank</th></tr><tr><td>Occam</td><td>319280.00</td><td>3</td><td>76</td><td>1</td></tr><tr><td>Altitude</td><td>313788.49</td><td>4</td><td>51</td><td>2</td></tr><tr><td>Clash</td><td>208997.77</td><td>19</td><td>50</td><td>3</td></tr><tr><td>Sight</td><td>226544.40</td><td>14</td><td>49</td><td>4</td></tr><tr><td>Meta Am</td><td>235024.36</td><td>12</td><td>48</td><td>6</td></tr><tr><td>Mojo</td><td>255649.16</td><td>10</td><td>47</td><td>7</td></tr><tr><td>Hei Hei</td><td>208890.22</td><td>20</td><td>47</td><td>7</td></tr><tr><td>Rail</td><td>348444.86</td><td>1</td><td>45</td><td>10</td></tr><tr><td>Gnarvana</td><td>280900.42</td><td>6</td><td>42</td><td>16</td></tr><tr><td>Firebird</td><td>259038.39</td><td>9</td><td>42</td><td>16</td></tr><tr><td>SB160</td><td>324004.05</td><td>2</td><td>40</td><td>20</td></tr><tr><td>Stereo</td><td>235657.41</td><td>11</td><td>40</td><td>20</td></tr></table>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"WITH ranked_products AS (\n",
" SELECT\n",
" p.prod_name,\n",
" SUM(o.order_tot) AS total_sales,\n",
" COUNT(o.ord_id) AS order_count,\n",
" RANK() OVER (ORDER BY SUM(o.order_tot) DESC) AS sales_rank,\n",
" RANK() OVER (ORDER BY COUNT(o.ord_id) DESC) AS count_rank\n",
" FROM\n",
" dsci_504.orders o\n",
" JOIN\n",
" dsci_504.products p ON o.prod_id = p.prod_id\n",
" GROUP BY\n",
" p.prod_name\n",
")\n",
"\n",
"SELECT\n",
" prod_name,\n",
" total_sales,\n",
" sales_rank,\n",
" order_count,\n",
" count_rank\n",
"FROM\n",
" ranked_products\n",
"WHERE\n",
" sales_rank <= 20 AND count_rank <= 20\n",
"ORDER BY\n",
" count_rank, sales_rank;"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "43ef4505-b4d2-4e84-90e2-29fdbc3eff02",
"id": "GXERZaf6IcFb"
},
"source": [
"#### Top Build Components\n",
"\n",
"We'll also take a look at the top build components."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "a82dc5d5-b245-4c23-a0aa-79056fa97edc",
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"tags": [],
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},
"outputs": [
{
"data": {
"text/html": [
"(20 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.044"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"Build Name": "trail guide",
"Component Name": "Evil Boomstick 7075 Alloy",
"Order Count": "60",
"Total Sales": "356538.25"
},
{
"Build Name": "adventure trek",
"Component Name": "Specialized Trail 7050 Alloy",
"Order Count": "74",
"Total Sales": "353304.09"
},
{
"Build Name": "2-star",
"Component Name": "Kona XC",
"Order Count": "45",
"Total Sales": "348444.86"
},
{
"Build Name": "after burner",
"Component Name": "Sram Guide R",
"Order Count": "40",
"Total Sales": "324004.05"
},
{
"Build Name": "black hole",
"Component Name": "Ibis Carbon",
"Order Count": "76",
"Total Sales": "319280.00"
},
{
"Build Name": "airtime",
"Component Name": "Shimano MT500",
"Order Count": "51",
"Total Sales": "313788.49"
},
{
"Build Name": "expedition peak",
"Component Name": "Shimano XTR Trail",
"Order Count": "37",
"Total Sales": "306540"
},
{
"Build Name": "mother lode",
"Component Name": "Shimano Deore M6100 2",
"Order Count": "42",
"Total Sales": "280900.42"
},
{
"Build Name": "destination",
"Component Name": "Newman Evo",
"Order Count": "36",
"Total Sales": "278751.80"
},
{
"Build Name": "neature seeker",
"Component Name": "Sram G2 ULT",
"Order Count": "34",
"Total Sales": "269617.46"
},
{
"Build Name": "summit",
"Component Name": "Yeti Carbon",
"Order Count": "42",
"Total Sales": "259038.39"
},
{
"Build Name": "trail two",
"Component Name": "ProTaper Carb",
"Order Count": "47",
"Total Sales": "255649.16"
},
{
"Build Name": "sojourn",
"Component Name": "Tektro HDM 735",
"Order Count": "40",
"Total Sales": "235657.41"
},
{
"Build Name": "quake",
"Component Name": "Sram Code RSC",
"Order Count": "48",
"Total Sales": "235024.36"
},
{
"Build Name": "intrepid",
"Component Name": "NS License Carb",
"Order Count": "35",
"Total Sales": "230741.87"
},
{
"Build Name": "departure",
"Component Name": "e13 base",
"Order Count": "49",
"Total Sales": "226544.40"
},
{
"Build Name": "wild ride",
"Component Name": "Whyte 6061 Alloy",
"Order Count": "37",
"Total Sales": "225652.19"
},
{
"Build Name": "trail shredder",
"Component Name": "Sram G2 RS",
"Order Count": "39",
"Total Sales": "219938.50"
},
{
"Build Name": "warhorse",
"Component Name": "TranzX Burtted 6061",
"Order Count": "37",
"Total Sales": "212526.77"
},
{
"Build Name": "venture amateur",
"Component Name": "OC1",
"Order Count": "31",
"Total Sales": "211932.95"
}
],
"schema": {
"fields": [
{
"name": "Build Name"
},
{
"name": "Component Name"
},
{
"name": "Order Count"
},
{
"name": "Total Sales"
}
]
}
},
"text/html": [
"<table><tr><th>Build Name</th><th>Component Name</th><th>Order Count</th><th>Total Sales</th></tr><tr><td>trail guide</td><td>Evil Boomstick 7075 Alloy</td><td>60</td><td>356538.25</td></tr><tr><td>adventure trek</td><td>Specialized Trail 7050 Alloy</td><td>74</td><td>353304.09</td></tr><tr><td>2-star</td><td>Kona XC</td><td>45</td><td>348444.86</td></tr><tr><td>after burner</td><td>Sram Guide R</td><td>40</td><td>324004.05</td></tr><tr><td>black hole</td><td>Ibis Carbon</td><td>76</td><td>319280.00</td></tr><tr><td>airtime</td><td>Shimano MT500</td><td>51</td><td>313788.49</td></tr><tr><td>expedition peak</td><td>Shimano XTR Trail</td><td>37</td><td>306540</td></tr><tr><td>mother lode</td><td>Shimano Deore M6100 2</td><td>42</td><td>280900.42</td></tr><tr><td>destination</td><td>Newman Evo</td><td>36</td><td>278751.80</td></tr><tr><td>neature seeker</td><td>Sram G2 ULT</td><td>34</td><td>269617.46</td></tr><tr><td>summit</td><td>Yeti Carbon</td><td>42</td><td>259038.39</td></tr><tr><td>trail two</td><td>ProTaper Carb</td><td>47</td><td>255649.16</td></tr><tr><td>sojourn</td><td>Tektro HDM 735</td><td>40</td><td>235657.41</td></tr><tr><td>quake</td><td>Sram Code RSC</td><td>48</td><td>235024.36</td></tr><tr><td>intrepid</td><td>NS License Carb</td><td>35</td><td>230741.87</td></tr><tr><td>departure</td><td>e13 base</td><td>49</td><td>226544.40</td></tr><tr><td>wild ride</td><td>Whyte 6061 Alloy</td><td>37</td><td>225652.19</td></tr><tr><td>trail shredder</td><td>Sram G2 RS</td><td>39</td><td>219938.50</td></tr><tr><td>warhorse</td><td>TranzX Burtted 6061</td><td>37</td><td>212526.77</td></tr><tr><td>venture amateur</td><td>OC1</td><td>31</td><td>211932.95</td></tr></table>"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"-- Top Build Components by Order Count and Total Sales\n",
"SELECT\n",
" b.build_name AS \"Build Name\",\n",
" c.comp_name AS \"Component Name\",\n",
" COUNT(o.ord_id) AS \"Order Count\",\n",
" SUM(o.order_tot) AS \"Total Sales\"\n",
"FROM\n",
" dsci_504.orders o\n",
"JOIN\n",
" dsci_504.builds b ON o.build_id = b.build_id\n",
"JOIN\n",
" dsci_504.components c ON b.build_id = c.comp_id\n",
"GROUP BY\n",
" b.build_name, c.comp_name\n",
"ORDER BY\n",
" \"Total Sales\" DESC, \"Order Count\" DESC\n",
"LIMIT 20;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "42c0ee6b-df25-4a5e-82d8-bcba554a77f4",
"language": "sql",
"id": "LGMxTxtjIcFb",
"outputId": "8ffe3b29-f7c7-47dd-c3b9-87626c8d50e4"
},
"outputs": [
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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",
"text/plain": [
"<Figure size 1200x800 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(12, 8))\n",
"plt.barh(top_build_components.index.get_level_values(0) + ' - ' + top_build_components.index.get_level_values(1),\n",
" top_build_components['Total Sales'], color='skyblue')\n",
"plt.xlabel('Total Sales')\n",
"plt.ylabel('Build - Component')\n",
"plt.title('Top Build Components by Total Sales')\n",
"plt.gca().invert_yaxis() # Invert y-axis to show the highest values at the top\n",
"plt.show()\n",
"\n",
"# Plotting the Top Build Components by Order Count\n",
"plt.figure(figsize=(12, 8))\n",
"plt.barh(top_build_components.index.get_level_values(0) + ' - ' + top_build_components.index.get_level_values(1),\n",
" top_build_components['Order Count'], color='lightgreen')\n",
"plt.xlabel('Order Count')\n",
"plt.ylabel('Build - Component')\n",
"plt.title('Top Build Components by Order Count')\n",
"plt.gca().invert_yaxis() # Invert y-axis to show the highest values at the top\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "413a03a1-1c62-4c75-8236-973a390cea3c",
"id": "pBRFty-dIcFb"
},
"source": [
"I'll also determine the top build components by both order count as well as total sales. Previously, I used SQL to perform this operation. I will now show how it can be done in Python."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "67e5278a-adc5-43b6-9c20-dd7f59e76dbe",
"language": "sql",
"id": "L5hqMOyuIcFb",
"outputId": "241ab113-61c1-420f-8436-c089e573eb71"
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th></th>\n",
" <th>Order Count</th>\n",
" <th>Total Sales</th>\n",
" </tr>\n",
" <tr>\n",
" <th>build_name</th>\n",
" <th>comp_name</th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>trail guide</th>\n",
" <th>Evil Boomstick 7075 Alloy</th>\n",
" <td>60</td>\n",
" <td>356538.25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>adventure trek</th>\n",
" <th>Specialized Trail 7050 Alloy</th>\n",
" <td>74</td>\n",
" <td>353304.09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2-star</th>\n",
" <th>Kona XC</th>\n",
" <td>45</td>\n",
" <td>348444.86</td>\n",
" </tr>\n",
" <tr>\n",
" <th>black hole</th>\n",
" <th>Ibis Carbon</th>\n",
" <td>76</td>\n",
" <td>319280.00</td>\n",
" </tr>\n",
" <tr>\n",
" <th>airtime</th>\n",
" <th>Shimano MT500</th>\n",
" <td>51</td>\n",
" <td>313788.49</td>\n",
" </tr>\n",
" <tr>\n",
" <th>mother lode</th>\n",
" <th>Shimano Deore M6100 2</th>\n",
" <td>42</td>\n",
" <td>280900.42</td>\n",
" </tr>\n",
" <tr>\n",
" <th>summit</th>\n",
" <th>Yeti Carbon</th>\n",
" <td>42</td>\n",
" <td>259038.39</td>\n",
" </tr>\n",
" <tr>\n",
" <th>trail two</th>\n",
" <th>ProTaper Carb</th>\n",
" <td>47</td>\n",
" <td>255649.16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>quake</th>\n",
" <th>Sram Code RSC</th>\n",
" <td>48</td>\n",
" <td>235024.36</td>\n",
" </tr>\n",
" <tr>\n",
" <th>departure</th>\n",
" <th>e13 base</th>\n",
" <td>49</td>\n",
" <td>226544.40</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" Order Count Total Sales\n",
"build_name comp_name \n",
"trail guide Evil Boomstick 7075 Alloy 60 356538.25\n",
"adventure trek Specialized Trail 7050 Alloy 74 353304.09\n",
"2-star Kona XC 45 348444.86\n",
"black hole Ibis Carbon 76 319280.00\n",
"airtime Shimano MT500 51 313788.49\n",
"mother lode Shimano Deore M6100 2 42 280900.42\n",
"summit Yeti Carbon 42 259038.39\n",
"trail two ProTaper Carb 47 255649.16\n",
"quake Sram Code RSC 48 235024.36\n",
"departure e13 base 49 226544.40"
]
},
"execution_count": 515,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Top components by Order Count\n",
"top_by_order_count = orders_builds_components_df.groupby(['build_name', 'comp_name']).agg({\n",
" 'ord_id': 'count',\n",
" 'order_tot': 'sum'\n",
"}).rename(columns={\n",
" 'ord_id': 'Order Count',\n",
" 'order_tot': 'Total Sales'\n",
"}).sort_values(by='Order Count', ascending=False).head(20)\n",
"\n",
"# Top components by Total Sales\n",
"top_by_total_sales = orders_builds_components_df.groupby(['build_name', 'comp_name']).agg({\n",
" 'ord_id': 'count',\n",
" 'order_tot': 'sum'\n",
"}).rename(columns={\n",
" 'ord_id': 'Order Count',\n",
" 'order_tot': 'Total Sales'\n",
"}).sort_values(by='Total Sales', ascending=False).head(20)\n",
"\n",
"# Top components intersection\n",
"top_components_intersection = top_by_order_count.index.intersection(top_by_total_sales.index)\n",
"top_components = orders_builds_components_df.groupby(['build_name', 'comp_name']).agg({\n",
" 'ord_id': 'count',\n",
" 'order_tot': 'sum'\n",
"}).rename(columns={\n",
" 'ord_id': 'Order Count',\n",
" 'order_tot': 'Total Sales'\n",
"}).loc[top_components_intersection]\n",
"\n",
"top_components = top_components.sort_values(by=['Total Sales', 'Order Count'], ascending=False)\n",
"top_components"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "88f4f849-c59a-4ef8-b056-1bad99766007",
"id": "R0fLTaE9IcFb"
},
"source": [
"### Orders"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "3926c594-7dde-4f68-b414-59bc77070a5f",
"id": "0nsBo8D1IcFb"
},
"source": [
"#### Total Quantity and Value of Orders By Year and Overall"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "c5be6fba-cf9b-4203-acc2-8976c58355cc",
"language": "sql",
"id": "yL_kEbDYIcFc",
"outputId": "2bacaa47-0430-46a8-f24a-72e5cb7065ff"
},
"outputs": [
{
"data": {
"text/html": [
"(21 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.010"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"Total Order Value": "728573.98",
"Total Quantity of Orders": "150",
"year": "2000"
},
{
"Total Order Value": "696021.07",
"Total Quantity of Orders": "137",
"year": "2001"
},
{
"Total Order Value": "565160.48",
"Total Quantity of Orders": "123",
"year": "2002"
},
{
"Total Order Value": "523462.78",
"Total Quantity of Orders": "112",
"year": "2003"
},
{
"Total Order Value": "577862.23",
"Total Quantity of Orders": "119",
"year": "2004"
},
{
"Total Order Value": "635804.33",
"Total Quantity of Orders": "131",
"year": "2005"
},
{
"Total Order Value": "754774.44",
"Total Quantity of Orders": "154",
"year": "2006"
},
{
"Total Order Value": "598244.74",
"Total Quantity of Orders": "124",
"year": "2007"
},
{
"Total Order Value": "607583.88",
"Total Quantity of Orders": "122",
"year": "2008"
},
{
"Total Order Value": "651427.80",
"Total Quantity of Orders": "129",
"year": "2009"
},
{
"Total Order Value": "655375.09",
"Total Quantity of Orders": "138",
"year": "2010"
},
{
"Total Order Value": "630545.52",
"Total Quantity of Orders": "131",
"year": "2011"
},
{
"Total Order Value": "610428.02",
"Total Quantity of Orders": "126",
"year": "2012"
},
{
"Total Order Value": "637818.16",
"Total Quantity of Orders": "132",
"year": "2013"
},
{
"Total Order Value": "534454.30",
"Total Quantity of Orders": "113",
"year": "2014"
},
{
"Total Order Value": "652318.08",
"Total Quantity of Orders": "135",
"year": "2015"
},
{
"Total Order Value": "602895.41",
"Total Quantity of Orders": "133",
"year": "2016"
},
{
"Total Order Value": "641076.76",
"Total Quantity of Orders": "134",
"year": "2017"
},
{
"Total Order Value": "642704.33",
"Total Quantity of Orders": "135",
"year": "2018"
},
{
"Total Order Value": "558094.48",
"Total Quantity of Orders": "121",
"year": "2019"
},
{
"Total Order Value": "12504625.88",
"Total Quantity of Orders": "2599",
"year": "NULL"
}
],
"schema": {
"fields": [
{
"name": "year"
},
{
"name": "Total Order Value"
},
{
"name": "Total Quantity of Orders"
}
]
}
},
"text/html": [
"<table><tr><th>year</th><th>Total Order Value</th><th>Total Quantity of Orders</th></tr><tr><td>2000</td><td>728573.98</td><td>150</td></tr><tr><td>2001</td><td>696021.07</td><td>137</td></tr><tr><td>2002</td><td>565160.48</td><td>123</td></tr><tr><td>2003</td><td>523462.78</td><td>112</td></tr><tr><td>2004</td><td>577862.23</td><td>119</td></tr><tr><td>2005</td><td>635804.33</td><td>131</td></tr><tr><td>2006</td><td>754774.44</td><td>154</td></tr><tr><td>2007</td><td>598244.74</td><td>124</td></tr><tr><td>2008</td><td>607583.88</td><td>122</td></tr><tr><td>2009</td><td>651427.80</td><td>129</td></tr><tr><td>2010</td><td>655375.09</td><td>138</td></tr><tr><td>2011</td><td>630545.52</td><td>131</td></tr><tr><td>2012</td><td>610428.02</td><td>126</td></tr><tr><td>2013</td><td>637818.16</td><td>132</td></tr><tr><td>2014</td><td>534454.30</td><td>113</td></tr><tr><td>2015</td><td>652318.08</td><td>135</td></tr><tr><td>2016</td><td>602895.41</td><td>133</td></tr><tr><td>2017</td><td>641076.76</td><td>134</td></tr><tr><td>2018</td><td>642704.33</td><td>135</td></tr><tr><td>2019</td><td>558094.48</td><td>121</td></tr><tr><td>NULL</td><td>12504625.88</td><td>2599</td></tr></table>"
]
},
"execution_count": 66,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SELECT\n",
" EXTRACT(YEAR FROM ord_date) AS year,\n",
" SUM(order_tot) AS \"Total Order Value\",\n",
" COUNT(ord_id) AS \"Total Quantity of Orders\"\n",
"FROM\n",
" dsci_504.orders\n",
"GROUP BY\n",
" EXTRACT(YEAR FROM ord_date)\n",
"\n",
"UNION ALL\n",
"\n",
"SELECT\n",
" NULL AS year,\n",
" SUM(order_tot) AS \"Total Order Value\",\n",
" COUNT(ord_id) AS \"Total Quantity of Orders\"\n",
"FROM\n",
" dsci_504.orders\n",
"\n",
"ORDER BY\n",
" year;"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "28ff5253-1294-4cbc-b2cc-52bb2e1494be",
"language": "sql",
"id": "vcSQoxN8IcFc",
"outputId": "d5a12456-7b8e-4e03-a9bc-01093625ff09"
},
"outputs": [
{
"data": {
"text/html": [
"(1 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.003"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"Total Order Value": "12504625.88",
"Total Quantity of Orders": "2599"
}
],
"schema": {
"fields": [
{
"name": "Total Order Value"
},
{
"name": "Total Quantity of Orders"
}
]
}
},
"text/html": [
"<table><tr><th>Total Order Value</th><th>Total Quantity of Orders</th></tr><tr><td>12504625.88</td><td>2599</td></tr></table>"
]
},
"execution_count": 47,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"-- Order Table Summary\n",
"SELECT\n",
" SUM(order_tot) AS \"Total Order Value\",\n",
" COUNT(ord_id) AS \"Total Quantity of Orders\"\n",
"FROM\n",
" dsci_504.orders;"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "ef9ee555-d60e-4ceb-8a4f-12a97b44bb33",
"id": "DO4w_ANKIcFc"
},
"source": [
"### Sales"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "2345d84e-87ff-4471-a554-54f03ba7fed8",
"id": "SMAbEYXGIcFc"
},
"source": [
"#### Sales Over Time"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "33468691-62fc-45b7-a68f-3b9a2f7c89ad",
"language": "sql",
"id": "OKyPNGtPIcFc",
"outputId": "741a4fd2-5413-4473-8743-0145e70bd523"
},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1000x600 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"orders_df = opc['orders']\n",
"\n",
"# Years from ord_date\n",
"orders_df['ord_date'] = pd.to_datetime(orders_df['ord_date'])\n",
"orders_df['year'] = orders_df['ord_date'].dt.year\n",
"\n",
"# Aggregate total order value and quantity by year\n",
"annual_sales = orders_df.groupby('year').agg({'order_tot': 'sum', 'build_id': 'count'}).reset_index()\n",
"annual_sales.columns = ['year', 'total_value', 'total_quantity']\n",
"\n",
"# Calculate 4-year rolling averages\n",
"annual_sales['value_rolling_avg'] = annual_sales['total_value'].rolling(window=4).mean()\n",
"annual_sales['quantity_rolling_avg'] = annual_sales['total_quantity'].rolling(window=4).mean()\n",
"\n",
"# Seaborn style\n",
"sns.set_style(\"whitegrid\")\n",
"\n",
"# Plot the data\n",
"fig, ax1 = plt.subplots(figsize=(10, 6))\n",
"ax1.bar(annual_sales['year'], annual_sales['total_value'], color='c', alpha=0.6, label='Total Value', width=0.9, align='center')\n",
"ax1.set_xlabel('Year', fontsize=12)\n",
"ax1.set_ylabel('Total Value ($)', color='b', fontsize=12)\n",
"ax1.tick_params(axis='y', labelcolor='b')\n",
"ax1.grid(True)\n",
"\n",
"# Trendline for total value\n",
"z1 = np.polyfit(annual_sales['year'], annual_sales['total_value'], 1)\n",
"p1 = np.poly1d(z1)\n",
"ax1.plot(annual_sales['year'], p1(annual_sales['year']), color='blue', linestyle='--', linewidth=2)\n",
"\n",
"# 4-year rolling average for total value\n",
"ax1.plot(annual_sales['year'], annual_sales['value_rolling_avg'], color='blue', linestyle='-', linewidth=2, label='4-Year Rolling Avg (Value)')\n",
"\n",
"ax2 = ax1.twinx()\n",
"ax2.plot(annual_sales['year'], annual_sales['total_quantity'], color='r', marker='o', label='Total Quantity', linewidth=2, markersize=8)\n",
"ax2.set_ylabel('Total Quantity', color='r', fontsize=12)\n",
"ax2.tick_params(axis='y', labelcolor='r')\n",
"\n",
"# Trendline for total quantity\n",
"z2 = np.polyfit(annual_sales['year'], annual_sales['total_quantity'], 1)\n",
"p2 = np.poly1d(z2)\n",
"ax2.plot(annual_sales['year'], p2(annual_sales['year']), color='red', linestyle='--', linewidth=2)\n",
"\n",
"# 4-year rolling average for total quantity\n",
"ax2.plot(annual_sales['year'], annual_sales['quantity_rolling_avg'], color='red', linestyle='-', linewidth=2, label='4-Year Rolling Avg (Quantity)')\n",
"\n",
"ax1.set_xticks(annual_sales['year'])\n",
"ax1.set_xticklabels(annual_sales['year'], rotation=45, ha='right')\n",
"plt.title('Annual Total Value and Quantity of Sales', fontsize=14)\n",
"ax1.legend(loc='upper left', fontsize=10)\n",
"ax2.legend(loc='upper right', fontsize=10)\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "ba735de2-0a1b-47a8-a82c-5a59b8115ee1",
"id": "rxvl3l8TIcFc"
},
"source": [
"### Customers"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "c3cb5550-61f7-4712-bc62-2372bfdf2fbb",
"id": "RWrB1a6GIcFc"
},
"source": [
"#### Customer Statistics"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "4ddf6956-5709-42c5-b3da-4c03d79babd7",
"language": "sql",
"id": "VSBqkT4LIcFc",
"outputId": "c28b8dcb-3921-4755-a6a3-0462e651cf70"
},
"outputs": [
{
"data": {
"text/html": [
"(3 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.047"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"Metric": "Total Number of Customers",
"Value": "2619"
},
{
"Metric": "Join Date Range",
"Value": "2001-01-03 to 2020-12-12"
},
{
"Metric": "Number of States",
"Value": "30"
}
],
"schema": {
"fields": [
{
"name": "Metric"
},
{
"name": "Value"
}
]
}
},
"text/html": [
"<table><tr><th>Metric</th><th>Value</th></tr><tr><td>Total Number of Customers</td><td>2619</td></tr><tr><td>Join Date Range</td><td>2001-01-03 to 2020-12-12</td></tr><tr><td>Number of States</td><td>30</td></tr></table>"
]
},
"execution_count": 50,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"SELECT\n",
" 'Total Number of Customers' AS \"Metric\",\n",
" COUNT(cus_id)::text AS \"Value\"\n",
"FROM\n",
" dsci_504.customers\n",
"\n",
"UNION ALL\n",
"\n",
"SELECT\n",
" 'Join Date Range' AS \"Metric\",\n",
" CONCAT(MIN(cus_join_date)::text, ' to ', MAX(cus_join_date)::text) AS \"Value\"\n",
"FROM\n",
" dsci_504.customers\n",
"\n",
"UNION ALL\n",
"\n",
"SELECT\n",
" 'Number of States' AS \"Metric\",\n",
" COUNT(DISTINCT cus_state)::text AS \"Value\"\n",
"FROM\n",
" dsci_504.customers;"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "420b9443-0c74-44b2-9b83-3400d281741f",
"id": "MiLz0h7tIcFc"
},
"source": [
"#### Customer Distribution by State"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "22762ece-181c-4609-9b4a-ba1db3e3e55c",
"language": "sql",
"id": "gvZ4dkMnIcFc",
"outputId": "26605058-6bf7-43a5-8be3-709aa8884a53"
},
"outputs": [
{
"data": {
"text/html": [
"(30 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.009"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"customer_count": "103",
"state_name": "UT"
},
{
"customer_count": "99",
"state_name": "ME"
},
{
"customer_count": "97",
"state_name": "KY"
},
{
"customer_count": "95",
"state_name": "WV"
},
{
"customer_count": "93",
"state_name": "DE"
},
{
"customer_count": "93",
"state_name": "HI"
},
{
"customer_count": "93",
"state_name": "WA"
},
{
"customer_count": "91",
"state_name": "NE"
},
{
"customer_count": "91",
"state_name": "SC"
},
{
"customer_count": "91",
"state_name": "CT"
},
{
"customer_count": "91",
"state_name": "RI"
},
{
"customer_count": "91",
"state_name": "PA"
},
{
"customer_count": "90",
"state_name": "OR"
},
{
"customer_count": "90",
"state_name": "LA"
},
{
"customer_count": "89",
"state_name": "GA"
},
{
"customer_count": "88",
"state_name": "OH"
},
{
"customer_count": "88",
"state_name": "MN"
},
{
"customer_count": "87",
"state_name": "KS"
},
{
"customer_count": "87",
"state_name": "IN"
},
{
"customer_count": "87",
"state_name": "VA"
},
{
"customer_count": "87",
"state_name": "AZ"
},
{
"customer_count": "83",
"state_name": "WY"
},
{
"customer_count": "83",
"state_name": "AK"
},
{
"customer_count": "81",
"state_name": "CO"
},
{
"customer_count": "80",
"state_name": "FL"
},
{
"customer_count": "76",
"state_name": "NC"
},
{
"customer_count": "76",
"state_name": "IA"
},
{
"customer_count": "73",
"state_name": "CA"
},
{
"customer_count": "73",
"state_name": "TN"
},
{
"customer_count": "73",
"state_name": "AL"
}
],
"schema": {
"fields": [
{
"name": "state_name"
},
{
"name": "customer_count"
}
]
}
},
"text/html": [
"<table><tr><th>state_name</th><th>customer_count</th></tr><tr><td>UT</td><td>103</td></tr><tr><td>ME</td><td>99</td></tr><tr><td>KY</td><td>97</td></tr><tr><td>WV</td><td>95</td></tr><tr><td>DE</td><td>93</td></tr><tr><td>HI</td><td>93</td></tr><tr><td>WA</td><td>93</td></tr><tr><td>NE</td><td>91</td></tr><tr><td>SC</td><td>91</td></tr><tr><td>CT</td><td>91</td></tr><tr><td>RI</td><td>91</td></tr><tr><td>PA</td><td>91</td></tr><tr><td>OR</td><td>90</td></tr><tr><td>LA</td><td>90</td></tr><tr><td>GA</td><td>89</td></tr><tr><td>OH</td><td>88</td></tr><tr><td>MN</td><td>88</td></tr><tr><td>KS</td><td>87</td></tr><tr><td>IN</td><td>87</td></tr><tr><td>VA</td><td>87</td></tr><tr><td>AZ</td><td>87</td></tr><tr><td>WY</td><td>83</td></tr><tr><td>AK</td><td>83</td></tr><tr><td>CO</td><td>81</td></tr><tr><td>FL</td><td>80</td></tr><tr><td>NC</td><td>76</td></tr><tr><td>IA</td><td>76</td></tr><tr><td>CA</td><td>73</td></tr><tr><td>TN</td><td>73</td></tr><tr><td>AL</td><td>73</td></tr></table>"
]
},
"execution_count": 55,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"-- Customer Distribution by State\n",
"SELECT\n",
" s.state AS \"State\",\n",
" COUNT(c.cus_id) AS \"Number of Customers\"\n",
"FROM\n",
" dsci_504.customers c\n",
"JOIN\n",
" dsci_504.states s ON c.cus_state = s.state_id\n",
"GROUP BY\n",
" s.state\n",
"ORDER BY\n",
" customer_count DESC;"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "202c6234-110f-4c25-ac6a-7fe710a86824",
"id": "HywRgPQJIcFc"
},
"source": [
"#### Total Order Value and Customer Count by State"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "80d6fbf1-efa0-4ffd-a8a4-2cce7ee57694",
"language": "sql",
"id": "0oShcf_yIcFc",
"outputId": "dbc70934-8d2c-4281-ea6c-82b29b271ce0"
},
"outputs": [
{
"data": {
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",
"text/plain": [
"<Figure size 1400x700 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"orders = opc['orders']\n",
"customers = opc['customers']\n",
"states = opc['states']\n",
"order_customer = orders.merge(customers, on='cus_id')\n",
"order_customer_state = order_customer.merge(states, left_on='cus_state', right_on='state_id')\n",
"customer_count_by_state = order_customer_state.groupby('state')['cus_id'].count().reset_index()\n",
"total_order_value_by_state = order_customer_state.groupby('state')['order_tot'].sum().reset_index()\n",
"merged_data = customer_count_by_state.merge(total_order_value_by_state, on='state')\n",
"merged_data_sorted = merged_data.sort_values(by='order_tot', ascending=False)\n",
"\n",
"# Plot the bar graph\n",
"fig, ax1 = plt.subplots(figsize=(14, 7))\n",
"ax1.bar(merged_data_sorted['state'], merged_data_sorted['order_tot'], color='r', width=1, alpha=0.6, label='Total Order Value')\n",
"ax1.set_xlabel('State')\n",
"ax1.set_ylabel('Total Order Value', color='r')\n",
"ax1.tick_params(axis='y', labelcolor='r')\n",
"plt.xticks(rotation=45)\n",
"ax2 = ax1.twinx()\n",
"ax2.plot(merged_data_sorted['state'], merged_data_sorted['cus_id'], color='b', marker='o', linestyle='-', linewidth=3, markersize=5, label='Customer Count')\n",
"ax2.set_ylabel('Customer Count', color='b')\n",
"ax2.tick_params(axis='y', labelcolor='b')\n",
"plt.title('Total Order Value and Customer Count by State', fontsize=18)\n",
"fig.tight_layout()\n",
"fig.legend(loc='upper right', bbox_to_anchor=(0.9, 0.9))\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "H-1Uh6bBIcFd"
},
"source": [
"### Suppliers"
]
},
{
"cell_type": "markdown",
"metadata": {
"azdata_cell_guid": "885c0a07-9ff0-40d1-aeb9-81dfef211709",
"id": "8uicqCZmIcFd"
},
"source": [
"#### Supplier Information"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"azdata_cell_guid": "73a86900-2ce9-46e9-9d61-eca9c7e0cbcd",
"language": "sql",
"id": "eRk3pmnPIcFd",
"outputId": "7d400ba9-c78b-4bcf-f17e-5f7666294edf"
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"outputs": [
{
"data": {
"text/html": [
"(74 row(s) affected)"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"text/html": [
"Total execution time: 00:00:00.017"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"application/vnd.dataresource+json": {
"data": [
{
"Supplier Country": "Andora",
"Supplier Name": "Commencal"
},
{
"Supplier Country": "Andorra",
"Supplier Name": "Ride Alpha"
},
{
"Supplier Country": "Canada",
"Supplier Name": "GT"
},
{
"Supplier Country": "Canada",
"Supplier Name": "RaceFace"
},
{
"Supplier Country": "Canada",
"Supplier Name": "Norco"
},
{
"Supplier Country": "Canada",
"Supplier Name": "Cannondale"
},
{
"Supplier Country": "Canada",
"Supplier Name": "Rocky Mountain"
},
{
"Supplier Country": "Canada",
"Supplier Name": "MDK"
},
{
"Supplier Country": "Canada",
"Supplier Name": "Devinci"
},
{
"Supplier Country": "Canada",
"Supplier Name": "One Up"
},
{
"Supplier Country": "China",
"Supplier Name": "Phoenix"
},
{
"Supplier Country": "Germany",
"Supplier Name": "Bike Yoke"
},
{
"Supplier Country": "Germany",
"Supplier Name": "NS"
},
{
"Supplier Country": "Germany",
"Supplier Name": "Newman"
},
{
"Supplier Country": "Germany",
"Supplier Name": "Magura"
},
{
"Supplier Country": "Germany",
"Supplier Name": "Cube"
},
{
"Supplier Country": "Japan",
"Supplier Name": "Shimano"
},
{
"Supplier Country": "Japan",
"Supplier Name": "X-Fusion"
},
{
"Supplier Country": "Japan",
"Supplier Name": "Tektro"
},
{
"Supplier Country": "N/A",
"Supplier Name": "No Part"
},
{
"Supplier Country": "NA",
"Supplier Name": "No Part"
},
{
"Supplier Country": "Poland",
"Supplier Name": "Octane"
},
{
"Supplier Country": "Spain",
"Supplier Name": "Orbea"
},
{
"Supplier Country": "Spain",
"Supplier Name": "OnOff"
},
{
"Supplier Country": "Spain",
"Supplier Name": "Mondraker"
},
{
"Supplier Country": "Sweden",
"Supplier Name": "Ohlins"
},
{
"Supplier Country": "Switzerland",
"Supplier Name": "DT Swiss"
},
{
"Supplier Country": "Taiwan",
"Supplier Name": "TRP"
},
{
"Supplier Country": "Taiwan",
"Supplier Name": "Truvatic"
},
{
"Supplier Country": "Taiwan",
"Supplier Name": "Giant"
},
{
"Supplier Country": "Taiwan",
"Supplier Name": "TranzX"
},
{
"Supplier Country": "Taiwan",
"Supplier Name": "FusionX"
},
{
"Supplier Country": "Taiwan",
"Supplier Name": "DVO"
},
{
"Supplier Country": "Taiwan",
"Supplier Name": "Marzocchi"
},
{
"Supplier Country": "Taiwan",
"Supplier Name": "Specialized"
},
{
"Supplier Country": "UK",
"Supplier Name": "Whyte"
},
{
"Supplier Country": "UK",
"Supplier Name": "Nukeproof"
},
{
"Supplier Country": "UK",
"Supplier Name": "Burgtec"
},
{
"Supplier Country": "USA",
"Supplier Name": "Hollow"
},
{
"Supplier Country": "USA",
"Supplier Name": "Stans"
},
{
"Supplier Country": "USA",
"Supplier Name": "Ibis"
},
{
"Supplier Country": "USA",
"Supplier Name": "Crankbrothers"
},
{
"Supplier Country": "USA",
"Supplier Name": "WTB"
},
{
"Supplier Country": "USA",
"Supplier Name": "i9"
},
{
"Supplier Country": "USA",
"Supplier Name": "Roval"
},
{
"Supplier Country": "USA",
"Supplier Name": "Intense"
},
{
"Supplier Country": "USA",
"Supplier Name": "Sun Ringle"
},
{
"Supplier Country": "USA",
"Supplier Name": "Tenet"
},
{
"Supplier Country": "USA",
"Supplier Name": "Praxis Girder"
},
{
"Supplier Country": "USA",
"Supplier Name": "Hollow"
},
{
"Supplier Country": "USA",
"Supplier Name": "ProTaper"
},
{
"Supplier Country": "USA",
"Supplier Name": "Santa Cruz"
},
{
"Supplier Country": "USA",
"Supplier Name": "Guerrila Gravity"
},
{
"Supplier Country": "USA",
"Supplier Name": "Revel"
},
{
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