diff --git a/desafio_renan.ipynb b/desafio_renan.ipynb new file mode 100644 index 0000000..b5c33bb --- /dev/null +++ b/desafio_renan.ipynb @@ -0,0 +1,1769 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "4de5ea66", + "metadata": {}, + "source": [ + "# LooqBox Challenge - Renan Pan" + ] + }, + { + "cell_type": "code", + "execution_count": 329, + "id": "5d789cf8", + "metadata": {}, + "outputs": [], + "source": [ + "#Importing libraries\n", + "import pandas as pd\n", + "\n", + "import mysql.connector \n", + "\n", + "import datetime as dt\n", + "\n", + "import matplotlib.pyplot as plt #for plotting graphs\n", + "import seaborn as sns" + ] + }, + { + "cell_type": "markdown", + "id": "78e4e148", + "metadata": {}, + "source": [ + "### Configurating the MySQL conection and obtaining data." + ] + }, + { + "cell_type": "code", + "execution_count": 330, + "id": "17e58425", + "metadata": {}, + "outputs": [], + "source": [ + "#Configurating the MySQL connection\n", + "conexao = mysql.connector.connect(\n", + " host=\"35.199.115.174\", \n", + " user=\"looqbox-challenge\", \n", + " password=\"looq-challenge\",\n", + " database=\"looqbox-challenge\"\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 331, + "id": "1aeb030a", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\renan\\AppData\\Local\\Temp\\ipykernel_17848\\1650486865.py:2: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " data_product = pd.read_sql(\"SELECT * FROM data_product\", conexao)\n", + "C:\\Users\\renan\\AppData\\Local\\Temp\\ipykernel_17848\\1650486865.py:3: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " data_product_sales = pd.read_sql(\"SELECT * FROM data_product_sales\", conexao)\n", + "C:\\Users\\renan\\AppData\\Local\\Temp\\ipykernel_17848\\1650486865.py:4: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " data_store_cad = pd.read_sql(\"SELECT * FROM data_store_cad\", conexao)\n", + "C:\\Users\\renan\\AppData\\Local\\Temp\\ipykernel_17848\\1650486865.py:5: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " data_store_sales = pd.read_sql(\"SELECT * FROM data_store_sales\", conexao)\n" + ] + } + ], + "source": [ + "#Obtaining tables\n", + "data_product = pd.read_sql(\"SELECT * FROM data_product\", conexao)\n", + "data_product_sales = pd.read_sql(\"SELECT * FROM data_product_sales\", conexao)\n", + "data_store_cad = pd.read_sql(\"SELECT * FROM data_store_cad\", conexao)\n", + "data_store_sales = pd.read_sql(\"SELECT * FROM data_store_sales\", conexao)" + ] + }, + { + "cell_type": "markdown", + "id": "a7af6400", + "metadata": {}, + "source": [ + "### Checking for the tables structure" + ] + }, + { + "cell_type": "code", + "execution_count": 332, + "id": "bfa020c9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 9994 entries, 0 to 9993\n", + "Data columns (total 7 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 PRODUCT_COD 9994 non-null int64 \n", + " 1 PRODUCT_NAME 9994 non-null str \n", + " 2 PRODUCT_VAL 9994 non-null float64\n", + " 3 DEP_NAME 9994 non-null str \n", + " 4 DEP_COD 9994 non-null int64 \n", + " 5 SECTION_NAME 9994 non-null str \n", + " 6 SECTION_COD 9994 non-null int64 \n", + "dtypes: float64(1), int64(3), str(3)\n", + "memory usage: 1.2 MB\n" + ] + }, + { + "data": { + "text/plain": [ + "(None,\n", + " PRODUCT_COD PRODUCT_NAME \\\n", + " 0 10 Acido Tranexamico 250mg Generico EMS 12 Compri... \n", + " 1 11 Bissulfato de Clopidogrel 75mg Generico Teuto ... \n", + " 2 12 Cloridrato de Amiodarona 200mg Generico Biosin... \n", + " \n", + " PRODUCT_VAL DEP_NAME DEP_COD SECTION_NAME SECTION_COD \n", + " 0 36.71 MEDICAMENTOS GENÉRICOS 10 CIRCULAÇÃO 40 \n", + " 1 66.51 MEDICAMENTOS GENÉRICOS 10 CIRCULAÇÃO 40 \n", + " 2 31.17 MEDICAMENTOS GENÉRICOS 10 CIRCULAÇÃO 40 )" + ] + }, + "execution_count": 332, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#data_product\n", + "data_product.info(), data_product.head(3) " + ] + }, + { + "cell_type": "code", + "execution_count": 333, + "id": "01c898a4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 2173133 entries, 0 to 2173132\n", + "Data columns (total 5 columns):\n", + " # Column Dtype \n", + "--- ------ ----- \n", + " 0 STORE_CODE str \n", + " 1 PRODUCT_CODE int64 \n", + " 2 DATE object \n", + " 3 SALES_VALUE float64\n", + " 4 SALES_QTY float64\n", + "dtypes: float64(2), int64(1), object(1), str(1)\n", + "memory usage: 86.0+ MB\n" + ] + }, + { + "data": { + "text/plain": [ + "(None,\n", + " PRODUCT_CODE SALES_VALUE SALES_QTY\n", + " count 2.173133e+06 2.173133e+06 2.173133e+06\n", + " mean 2.641163e+04 2.428775e+03 1.565161e+02\n", + " std 4.611153e+04 2.731317e+03 4.527131e+01\n", + " min 1.000000e+01 6.279000e+01 3.900000e+01\n", + " 25% 1.111000e+03 7.490800e+02 1.200000e+02\n", + " 50% 5.065000e+03 1.405800e+03 1.490000e+02\n", + " 75% 2.314100e+04 3.122580e+03 1.820000e+02\n", + " max 2.414040e+05 4.783863e+04 3.850000e+02,\n", + " STORE_CODE PRODUCT_CODE DATE SALES_VALUE SALES_QTY\n", + " 0 1 18 2019-01-01 708.5 65.0\n", + " 1 1 18 2019-01-02 1297.1 119.0\n", + " 2 1 18 2019-01-03 1144.5 105.0)" + ] + }, + "execution_count": 333, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_product_sales.info(), data_product_sales.describe(), data_product_sales.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 334, + "id": "91c3103c", + "metadata": {}, + "outputs": [], + "source": [ + "#It is necessary to change the \"DATE\" value into datetime\n", + "data_product_sales['DATE'] = pd.to_datetime(data_product_sales['DATE'], format=\"ISO8601\")" + ] + }, + { + "cell_type": "code", + "execution_count": 335, + "id": "ec446da8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 20 entries, 0 to 19\n", + "Data columns (total 6 columns):\n", + " # Column Non-Null Count Dtype\n", + "--- ------ -------------- -----\n", + " 0 STORE_CODE 20 non-null int64\n", + " 1 STORE_NAME 20 non-null str \n", + " 2 START_DATE 20 non-null str \n", + " 3 END_DATE 20 non-null str \n", + " 4 BUSINESS_NAME 20 non-null str \n", + " 5 BUSINESS_CODE 20 non-null int64\n", + "dtypes: int64(2), str(4)\n", + "memory usage: 1.5 KB\n" + ] + }, + { + "data": { + "text/plain": [ + "(None,\n", + " STORE_CODE STORE_NAME START_DATE END_DATE BUSINESS_NAME BUSINESS_CODE\n", + " 0 1 Sao Paulo 2006-10-01 Varejo 1\n", + " 1 2 Chicago 2007-10-01 Varejo 1\n", + " 2 3 Roma 2008-10-01 Varejo 1)" + ] + }, + "execution_count": 335, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_store_cad.info(), data_store_cad.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 336, + "id": "ad76ee6a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 35762 entries, 0 to 35761\n", + "Data columns (total 4 columns):\n", + " # Column Non-Null Count Dtype \n", + "--- ------ -------------- ----- \n", + " 0 STORE_CODE 35762 non-null int64 \n", + " 1 DATE 35762 non-null object \n", + " 2 SALES_VALUE 35762 non-null float64\n", + " 3 SALES_QTY 35762 non-null int64 \n", + "dtypes: float64(1), int64(2), object(1)\n", + "memory usage: 1.1+ MB\n" + ] + }, + { + "data": { + "text/plain": [ + "(None,\n", + " STORE_CODE SALES_VALUE SALES_QTY\n", + " count 35762.000000 35762.000000 35762.000000\n", + " mean 10.856048 147588.240967 9510.941027\n", + " std 5.611638 65074.265200 3825.621569\n", + " min 1.000000 48894.300000 3640.000000\n", + " 25% 6.000000 95611.310000 6680.000000\n", + " 50% 11.000000 136140.730000 8760.000000\n", + " 75% 16.000000 187896.710000 11826.000000\n", + " max 20.000000 479566.460000 24332.000000,\n", + " STORE_CODE DATE SALES_VALUE SALES_QTY\n", + " 0 1 2014-11-23 111387.87 7227\n", + " 1 10 2014-11-23 63256.35 4362\n", + " 2 11 2014-11-23 62680.86 4257)" + ] + }, + "execution_count": 336, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_store_sales.info(), data_store_sales.describe(), data_store_sales.head(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 337, + "id": "b71a8cf0", + "metadata": {}, + "outputs": [], + "source": [ + "#Transforming the \"DATE\" into a datevalue form\n", + "data_store_sales['DATE'] = pd.to_datetime(data_store_sales['DATE'], format=\"%Y%M%d\")" + ] + }, + { + "cell_type": "markdown", + "id": "1ea64b05", + "metadata": {}, + "source": [ + "## Solving the problems" + ] + }, + { + "cell_type": "markdown", + "id": "46b5d05e", + "metadata": {}, + "source": [ + "### 1) What are the 10 most expensive products in the company?\n" + ] + }, + { + "cell_type": "code", + "execution_count": 338, + "id": "4445b07f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " PRODUCT_COD PRODUCT_NAME \\\n", + "7942 301409 Whisky Escoces THE MACALLAN Ruby Garrafa 700ml... \n", + "5374 176185 Whisky Escoces JOHNNIE WALKER Blue Label Garra... \n", + "9032 315481 Cafeteira Expresso 3 CORACOES Tres Modo Vermelho \n", + "3057 100280 Vinho Portugues Tinto Vintage QUINTA DO CRASTO... \n", + "9237 320046 Escova Dental Eletrica ORAL B D34 Professional... \n", + "5677 190817 Champagne Rose VEUVE CLICQUOT PONSARDIM Garraf... \n", + "4640 153795 Champagne Frances Brut Imperial MOET Rose Garr... \n", + "8647 311397 Conjunto de Panelas Allegra em Inox TRAMONTINA... \n", + "4449 147706 Whisky Escoces CHIVAS REGAL 18 Anos Garrafa 750ml \n", + "1273 44311 Champagne Frances Demi Sec Nectar Imperial MOE... \n", + "\n", + " PRODUCT_VAL DEP_NAME DEP_COD SECTION_NAME SECTION_COD \n", + "7942 741.99 BEBIDAS 2 BEBIDAS 4 \n", + "5374 735.90 BEBIDAS 2 BEBIDAS 4 \n", + "9032 499.00 BEBIDAS 2 BEBIDAS 4 \n", + "3057 445.90 BEBIDAS 2 VINHOS 30 \n", + "9237 399.90 PERFUMARIA 8 HIGIENE BUCAL 39 \n", + "5677 366.90 MERCEARIA 6 ARTIGOS-PARA-O-LAR 2 \n", + "4640 359.90 MERCEARIA 6 ARTIGOS-PARA-O-LAR 2 \n", + "8647 359.00 MERCEARIA 6 ARTIGOS-PARA-O-LAR 2 \n", + "4449 329.90 BEBIDAS 2 BEBIDAS 4 \n", + "1273 315.90 MERCEARIA 6 ARTIGOS-PARA-O-LAR 2 \n" + ] + } + ], + "source": [ + "#Getting the table with the 10 most expensive products\n", + "most_expensive_prods = data_product.sort_values(by='PRODUCT_VAL', ascending=False).head(10)\n", + "\n", + "print(most_expensive_prods)" + ] + }, + { + "cell_type": "code", + "execution_count": 339, + "id": "6b8c64a4", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['Whisky Escoces THE MACALLAN Ruby Garrafa 700ml com Caixa', 'Whisky Escoces JOHNNIE WALKER Blue Label Garrafa 750ml', 'Cafeteira Expresso 3 CORACOES Tres Modo Vermelho', 'Vinho Portugues Tinto Vintage QUINTA DO CRASTO Garrafa 750ml', 'Escova Dental Eletrica ORAL B D34 Professional Care 5000 110v', 'Champagne Rose VEUVE CLICQUOT PONSARDIM Garrafa 750ml', 'Champagne Frances Brut Imperial MOET Rose Garrafa 750ml', 'Conjunto de Panelas Allegra em Inox TRAMONTINA 5 Pecas Gratis Utensilios 5 Pecas', 'Whisky Escoces CHIVAS REGAL 18 Anos Garrafa 750ml', 'Champagne Frances Demi Sec Nectar Imperial MOET & CHANDON Garrafa 750ml']\n" + ] + } + ], + "source": [ + "#Getting only the name of the products\n", + "\n", + "products_names = list(most_expensive_prods['PRODUCT_NAME'])\n", + "\n", + "print(products_names)" + ] + }, + { + "cell_type": "markdown", + "id": "193a788d", + "metadata": {}, + "source": [ + "### 2) What sections do the 'BEBIDAS' and 'PADARIA' departments have?\n" + ] + }, + { + "cell_type": "code", + "execution_count": 340, + "id": "aca3757d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "['BEBIDAS', 'VINHOS', 'CERVEJAS', 'REFRESCOS']\n", + "Length: 4, dtype: str\n" + ] + } + ], + "source": [ + "#Filtering data to bring only the data from de dep_name \"BEBIDAS\"\n", + "bebidas = data_product[data_product['DEP_NAME'] ==\"BEBIDAS\"]\n", + "\n", + "print(bebidas['SECTION_NAME'].unique())" + ] + }, + { + "cell_type": "code", + "execution_count": 341, + "id": "acefd5bb", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "['DOCES-E-SOBREMESAS', 'QUEIJOS-E-FRIOS', 'PADARIA', 'GESTANTE']\n", + "Length: 4, dtype: str\n" + ] + } + ], + "source": [ + "#Filtering data to bring only the data from de dep_name \"PADARIA\"\n", + "padaria = data_product[data_product['DEP_NAME'] ==\"PADARIA\"]\n", + "\n", + "print(padaria['SECTION_NAME'].unique())" + ] + }, + { + "cell_type": "markdown", + "id": "19d8ed21", + "metadata": {}, + "source": [ + "### 3) What was the total sale of products (in $) of each Business Area in the first quarter of 2019?" + ] + }, + { + "cell_type": "code", + "execution_count": 342, + "id": "b71a116f", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting the quarter of the year\n", + "data_store_sales_quarter = data_store_sales.copy()\n", + "\n", + "data_store_sales_quarter['QUARTER'] = data_store_sales_quarter['DATE'].dt.quarter\n", + "\n", + "#filtering so we only have the first quarter of 2019\n", + "data_store_sales_2019 = data_store_sales_quarter[(data_store_sales_quarter['DATE'].dt.year==2019)&(data_store_sales_quarter['QUARTER']==1)]" + ] + }, + { + "cell_type": "code", + "execution_count": 343, + "id": "d542eb37", + "metadata": {}, + "outputs": [], + "source": [ + "#Checking the strucutre\n", + "#print(data_store_sales_2019.sample(10))" + ] + }, + { + "cell_type": "code", + "execution_count": 344, + "id": "b9385058", + "metadata": {}, + "outputs": [], + "source": [ + "#Merging the data to get the Business Area\n", + "\n", + "store_and_store_sales = pd.merge(data_store_sales_2019,\n", + " data_store_cad,\n", + " on='STORE_CODE',\n", + " how='left')" + ] + }, + { + "cell_type": "code", + "execution_count": 345, + "id": "b27f1204", + "metadata": {}, + "outputs": [], + "source": [ + "#Checking the strucutre\n", + "#print(store_and_store_sales)" + ] + }, + { + "cell_type": "code", + "execution_count": 346, + "id": "ced9c387", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " BUSINESS_NAME SALES_VALUE\n", + "0 Atacado 80384884.60\n", + "1 Farma 81776691.73\n", + "2 Posto 32072326.40\n", + "3 Proximidade 80171122.80\n", + "4 Varejo 81032347.65\n" + ] + } + ], + "source": [ + "#Getting the total sales of products (in $) of each Business Area in the first quarter of 2019\n", + "\n", + "sales_per_business = store_and_store_sales.groupby('BUSINESS_NAME')['SALES_VALUE'].sum().reset_index()\n", + "\n", + "print(sales_per_business)" + ] + }, + { + "cell_type": "code", + "execution_count": 347, + "id": "e7e119a1", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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1Farma81.78
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" + ], + "text/plain": [ + " BUSINESS_NAME SALES_VALUE\n", + "1 Farma 81.78\n", + "4 Varejo 81.03\n", + "0 Atacado 80.38\n", + "3 Proximidade 80.17\n", + "2 Posto 32.07" + ] + }, + "execution_count": 347, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Getting the results as a millions value\n", + "\n", + "sales_per_business_million = sales_per_business.copy()\n", + "sales_per_business_million['SALES_VALUE'] = round(sales_per_business_million['SALES_VALUE']/1000000,2)\n", + "sales_per_business_million = sales_per_business_million.sort_values(by=['SALES_VALUE'], ascending=False)\n", + "sales_per_business_million" + ] + }, + { + "cell_type": "markdown", + "id": "56070816", + "metadata": {}, + "source": [ + "- The list with the total sale of products (in $) of each Business Area in millions of dollars is above, where it is possible to see that \"Atacado\" and \"Proximidade\" " + ] + }, + { + "cell_type": "markdown", + "id": "0586dfd8", + "metadata": {}, + "source": [ + "## Cases" + ] + }, + { + "cell_type": "markdown", + "id": "464e043b", + "metadata": {}, + "source": [ + "#### 1) The Dev Team was tired of developing the same old queries just varying the filters accordingly to their boss demands.\n", + "\n", + "Extra instructions:\n", + "- Retrieve all columns from table data_product_sales;\n", + "- Imagine people from other teams will also utilize this function!" + ] + }, + { + "cell_type": "code", + "execution_count": 348, + "id": "0244ddf8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['STORE_CODE', 'PRODUCT_CODE', 'DATE', 'SALES_VALUE', 'SALES_QTY'], dtype='str')" + ] + }, + "execution_count": 348, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_product_sales.columns" + ] + }, + { + "cell_type": "code", + "execution_count": 349, + "id": "e24ec3c1", + "metadata": {}, + "outputs": [], + "source": [ + "#Obtaining the max and min of the info\n", + "max_store_code = data_product_sales['STORE_CODE'].max()\n", + "min_store_code = data_product_sales['STORE_CODE'].min()\n", + "max_product_code = data_product_sales['PRODUCT_CODE'].max()\n", + "min_product_code = data_product_sales['PRODUCT_CODE'].min()\n", + "max_date = data_product_sales['DATE'].max()\n", + "min_date = data_product_sales['DATE'].min()" + ] + }, + { + "cell_type": "code", + "execution_count": 350, + "id": "4707224d", + "metadata": {}, + "outputs": [], + "source": [ + "#Getting the unique values to use as conditionals in the inputs.\n", + "list_of_stores = list(data_product_sales['STORE_CODE'].unique())\n", + "list_of_products = list(data_product_sales['PRODUCT_CODE'].unique())\n", + "list_of_dates = list(data_product_sales['DATE'].unique())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "56f32a86", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Empty DataFrame\n", + "Columns: [STORE_CODE, PRODUCT_CODE, DATE, SALES_VALUE, SALES_QTY]\n", + "Index: []\n" + ] + } + ], + "source": [ + "'''#Working with inputs to filter and retrieve data as needed\n", + "product_code = int(input(f\"Give the product code between {min_product_code} and {max_product_code}\"))\n", + "store_code = int(input(f\"Give the store_code between {min_store_code} and {max_store_code}\"))\n", + "date = pd.to_datetime(input(f\"Give the date (format [YYYY-MM-DD]) between {min_date} and {max_date}\"), format=\"ISO8601\")\n", + "date = pd.to_datetime(date)\n", + "\n", + "#Building a function that will allow me to filter by product_code, store_code and date, to filter the info as filled in the inputs \n", + "def retrieve_data(product_code,store_code,date):\n", + " #data_product_sales[(data_product_sales['PRODUCT_CODE']==product_code)&(data_product_sales['STORE_CODE']==store_code)&(data_product_sales['DATE']==date)]\n", + " #df = data_product_sales.groupby([store_code, product_code, date])[['SALES_VALUE', 'SALES_QTY']].sum() \n", + " return data_product_sales[(data_product_sales['PRODUCT_CODE']==product_code)&(data_product_sales['STORE_CODE']==store_code)&(data_product_sales['DATE']==date)]\n", + "\n", + "my_data = retrieve_data(product_code, store_code, date)\n", + "\n", + "print(my_data)'''\n", + "\n", + "\n", + "\n", + "'''This part was my first idea to structure the code, however I was having trouble because I always got an empty table so I asked claude to do the adjustments necessary.\n", + "'''" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "8183a5ce", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Encontrados: 1 registros\n", + " STORE_CODE PRODUCT_CODE DATE SALES_VALUE SALES_QTY\n", + "136748 10 10 2014-12-12 1291.5 126.0\n" + ] + } + ], + "source": [ + "#Working with inputs to filter and retrieve data as needed\n", + "\n", + "#Converting DATE\n", + "data_product_sales['DATE'] = pd.to_datetime(data_product_sales['DATE'])\n", + "\n", + "# Rremoving blank spaces\n", + "data_product_sales['PRODUCT_CODE'] = data_product_sales['PRODUCT_CODE'].astype(str).str.strip()\n", + "data_product_sales['STORE_CODE'] = data_product_sales['STORE_CODE'].astype(str).str.strip()\n", + "\n", + "# Inputs with strip()\n", + "product_code = int(input(f\"Give the product code between {min_product_code} and {max_product_code}\").strip())\n", + "store_code = int(input(f\"Give the store_code between {min_store_code} and {max_store_code}\").strip())\n", + "date = pd.to_datetime(input(f\"Give the date (format [YYYY-MM-DD]) between {min_date} and {max_date}\").strip())\n", + "\n", + "def retrieve_data(product_code, store_code, date):\n", + " resultado = data_product_sales[\n", + " (data_product_sales['PRODUCT_CODE'] == str(product_code)) &\n", + " (data_product_sales['STORE_CODE'] == str(store_code)) &\n", + " (data_product_sales['DATE'] == date)\n", + " ]\n", + " print(f\"Encontrados: {len(resultado)} registros\")\n", + " return resultado\n", + "\n", + "my_data = retrieve_data(product_code, store_code, date)\n", + "print(my_data)" + ] + }, + { + "cell_type": "markdown", + "id": "569f816f", + "metadata": {}, + "source": [ + "#### 2) A brand new client sent you two ready-to-go queries. Those are listed below:\n", + "\n", + "- Use the queries as they are (do not modify them or create a new one);\n", + "\n", + "- Please filter the period between this given range: \n", + " - ['2019-10-01','2019-12-31']" + ] + }, + { + "cell_type": "code", + "execution_count": 214, + "id": "8818cc27", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "((20, 6), (35762, 4))" + ] + }, + "execution_count": 214, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "data_store_cad.shape, data_store_sales.shape" + ] + }, + { + "cell_type": "code", + "execution_count": 221, + "id": "59c2c1f1", + "metadata": {}, + "outputs": [], + "source": [ + "#Merging both tables to get the results\n", + "merged_table = pd.merge(data_store_cad,\n", + " data_store_sales,\n", + " on='STORE_CODE',\n", + " how='right')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "e5d8bbe3", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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STORE_CODESTORE_NAMESTART_DATEEND_DATEBUSINESS_NAMEBUSINESS_CODEDATESALES_VALUESALES_QTY
01Sao Paulo2006-10-01Varejo12014-11-23111387.877227
110Hong Kong2019-01-01Farma42014-11-2363256.354362
211Rio de Janeiro2019-01-01Farma42014-11-2362680.864257
312Madri2019-01-01Farma42014-11-2362680.864257
413Dubai2019-01-01Atacado52014-11-23111387.877227
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" + ], + "text/plain": [ + " STORE_CODE STORE_NAME START_DATE END_DATE BUSINESS_NAME \\\n", + "0 1 Sao Paulo 2006-10-01 Varejo \n", + "1 10 Hong Kong 2019-01-01 Farma \n", + "2 11 Rio de Janeiro 2019-01-01 Farma \n", + "3 12 Madri 2019-01-01 Farma \n", + "4 13 Dubai 2019-01-01 Atacado \n", + "\n", + " BUSINESS_CODE DATE SALES_VALUE SALES_QTY \n", + "0 1 2014-11-23 111387.87 7227 \n", + "1 4 2014-11-23 63256.35 4362 \n", + "2 4 2014-11-23 62680.86 4257 \n", + "3 4 2014-11-23 62680.86 4257 \n", + "4 5 2014-11-23 111387.87 7227 " + ] + }, + "execution_count": 222, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#merged_table.head()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "69d78713", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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STORE_CODESTORE_NAMESTART_DATEEND_DATEBUSINESS_NAMEBUSINESS_CODEDATESALES_VALUESALES_QTY
339221Sao Paulo2006-10-01Varejo12019-10-01187601.5412160
3392310Hong Kong2019-01-01Farma42019-10-01139038.865223
3392411Rio de Janeiro2019-01-01Farma42019-10-01252687.358481
3392512Madri2019-01-01Farma42019-10-01223973.647659
3392613Dubai2019-01-01Atacado52019-10-01187601.5412160
..............................
357575Paris2019-01-01Proximidade22019-12-31193619.9412607
357586Berlin2011-10-01Proximidade22019-12-31193619.9412607
357597New York2012-10-01Proximidade22019-12-31193619.9412607
357608Belem2013-10-01Proximidade22019-12-31191704.6412500
357619London2014-10-01Farma42019-12-31167081.215765
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1840 rows × 9 columns

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" + ], + "text/plain": [ + " STORE_CODE STORE_NAME START_DATE END_DATE BUSINESS_NAME \\\n", + "33922 1 Sao Paulo 2006-10-01 Varejo \n", + "33923 10 Hong Kong 2019-01-01 Farma \n", + "33924 11 Rio de Janeiro 2019-01-01 Farma \n", + "33925 12 Madri 2019-01-01 Farma \n", + "33926 13 Dubai 2019-01-01 Atacado \n", + "... ... ... ... ... ... \n", + "35757 5 Paris 2019-01-01 Proximidade \n", + "35758 6 Berlin 2011-10-01 Proximidade \n", + "35759 7 New York 2012-10-01 Proximidade \n", + "35760 8 Belem 2013-10-01 Proximidade \n", + "35761 9 London 2014-10-01 Farma \n", + "\n", + " BUSINESS_CODE DATE SALES_VALUE SALES_QTY \n", + "33922 1 2019-10-01 187601.54 12160 \n", + "33923 4 2019-10-01 139038.86 5223 \n", + "33924 4 2019-10-01 252687.35 8481 \n", + "33925 4 2019-10-01 223973.64 7659 \n", + "33926 5 2019-10-01 187601.54 12160 \n", + "... ... ... ... ... \n", + "35757 2 2019-12-31 193619.94 12607 \n", + "35758 2 2019-12-31 193619.94 12607 \n", + "35759 2 2019-12-31 193619.94 12607 \n", + "35760 2 2019-12-31 191704.64 12500 \n", + "35761 4 2019-12-31 167081.21 5765 \n", + "\n", + "[1840 rows x 9 columns]" + ] + }, + "execution_count": 223, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Filtering the table\n", + "filtered_data = merged_table[(merged_table['DATE']>='2019-10-01')&(merged_table['DATE']<='2019-12-31')]\n", + "print(filtered_data.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 224, + "id": "1a05d0f7", + "metadata": {}, + "outputs": [], + "source": [ + "filtered_data = filtered_data.drop_duplicates()" + ] + }, + { + "cell_type": "code", + "execution_count": 229, + "id": "e68d6c62", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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STORE_NAMEBUSINESS_NAMESALES_VALUE
0BahiaAtacado21.21
1BangkokPosto8.38
2BelemProximidade20.99
3BerlinProximidade21.21
4Buenos AiresAtacado21.21
5ChicagoVarejo21.93
6DubaiAtacado21.21
7Hong KongFarma15.04
8LondonFarma19.47
9MadriFarma24.13
10MiamiPosto8.38
11New YorkProximidade21.21
12ParisProximidade21.21
13Rio de JaneiroFarma27.17
14RomaVarejo21.21
15SalvadorAtacado21.21
16Sao PauloVarejo21.21
17SidneyPosto8.38
18TokioVarejo21.21
19VancouverPosto8.38
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" + ], + "text/plain": [ + " STORE_NAME BUSINESS_NAME SALES_VALUE\n", + "0 Bahia Atacado 21.21\n", + "1 Bangkok Posto 8.38\n", + "2 Belem Proximidade 20.99\n", + "3 Berlin Proximidade 21.21\n", + "4 Buenos Aires Atacado 21.21\n", + "5 Chicago Varejo 21.93\n", + "6 Dubai Atacado 21.21\n", + "7 Hong Kong Farma 15.04\n", + "8 London Farma 19.47\n", + "9 Madri Farma 24.13\n", + "10 Miami Posto 8.38\n", + "11 New York Proximidade 21.21\n", + "12 Paris Proximidade 21.21\n", + "13 Rio de Janeiro Farma 27.17\n", + "14 Roma Varejo 21.21\n", + "15 Salvador Atacado 21.21\n", + "16 Sao Paulo Varejo 21.21\n", + "17 Sidney Posto 8.38\n", + "18 Tokio Varejo 21.21\n", + "19 Vancouver Posto 8.38" + ] + }, + "execution_count": 229, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#Getting the total sales by store and category\n", + "\n", + "sales = filtered_data.groupby(['STORE_NAME','BUSINESS_NAME'])['SALES_VALUE'].sum().reset_index()\n", + "sales['SALES_VALUE'] = round(sales['SALES_VALUE']/1000000,2)\n", + "sales" + ] + }, + { + "cell_type": "markdown", + "id": "b7f074f1", + "metadata": {}, + "source": [ + "#### 3) Building your own visualization\n", + "\n", + "Create at least one chart using the table **IMDB_movies**. The code must be in Python, and you are free to use any libraries, data in the table and graphic format. Explain why you chose the visualization (or visualizations) you are submitting." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "4f62a6c7", + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\renan\\AppData\\Local\\Temp\\ipykernel_17848\\3326422403.py:2: UserWarning: pandas only supports SQLAlchemy connectable (engine/connection) or database string URI or sqlite3 DBAPI2 connection. Other DBAPI2 objects are not tested. Please consider using SQLAlchemy.\n", + " IMDB_movies = pd.read_sql(\"SELECT * FROM IMDB_movies\", conexao)\n" + ] + } + ], + "source": [ + "#Importing the dataset\n", + "IMDB_movies = pd.read_sql(\"SELECT * FROM IMDB_movies\", conexao)" + ] + }, + { + "cell_type": "code", + "execution_count": 257, + "id": "313095ea", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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IdTitleGenreDirectorActorsYearRuntimeRatingVotesRevenueMillionsMetascore
01Guardians of the GalaxyAction,Adventure,Sci-FiJames GunnChris Pratt, Vin Diesel, Bradley Cooper, Zoe S...20141218.0757074333.076.0
12PrometheusAdventure,Mystery,Sci-FiRidley ScottNoomi Rapace, Logan Marshall-Green, Michael Fa...20121247.0485820126.065.0
23SplitHorror,ThrillerM. Night ShyamalanJames McAvoy, Anya Taylor-Joy, Haley Lu Richar...20161177.0157606138.062.0
34SingAnimation,Comedy,FamilyChristophe LourdeletMatthew McConaughey,Reese Witherspoon, Seth Ma...20161087.060545270.059.0
45Suicide SquadAction,Adventure,FantasyDavid AyerWill Smith, Jared Leto, Margot Robbie, Viola D...20161236.0393727325.040.0
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" + ], + "text/plain": [ + " Id Title Genre \\\n", + "0 1 Guardians of the Galaxy Action,Adventure,Sci-Fi \n", + "1 2 Prometheus Adventure,Mystery,Sci-Fi \n", + "2 3 Split Horror,Thriller \n", + "3 4 Sing Animation,Comedy,Family \n", + "4 5 Suicide Squad Action,Adventure,Fantasy \n", + "\n", + " Director Actors \\\n", + "0 James Gunn Chris Pratt, Vin Diesel, Bradley Cooper, Zoe S... \n", + "1 Ridley Scott Noomi Rapace, Logan Marshall-Green, Michael Fa... \n", + "2 M. Night Shyamalan James McAvoy, Anya Taylor-Joy, Haley Lu Richar... \n", + "3 Christophe Lourdelet Matthew McConaughey,Reese Witherspoon, Seth Ma... \n", + "4 David Ayer Will Smith, Jared Leto, Margot Robbie, Viola D... \n", + "\n", + " Year Runtime Rating Votes RevenueMillions Metascore \n", + "0 2014 121 8.0 757074 333.0 76.0 \n", + "1 2012 124 7.0 485820 126.0 65.0 \n", + "2 2016 117 7.0 157606 138.0 62.0 \n", + "3 2016 108 7.0 60545 270.0 59.0 \n", + "4 2016 123 6.0 393727 325.0 40.0 " + ] + }, + "execution_count": 257, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "IMDB_movies.head(5)" + ] + }, + { + "cell_type": "markdown", + "id": "211a32cb", + "metadata": {}, + "source": [ + "- Considering the structure of this dataset there is some usefull information to be considered like:\n", + " - How is the distribuiton of the Metascore grades? \n", + " - How much revenue the top 10 directors got allong all the time?\n", + " - What's the average revenue according to the genre?" + ] + }, + { + "cell_type": "code", + "execution_count": 281, + "id": "534938d0", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting the distribuiton of the Metascore grades\n", + "sns.set_theme()\n", + "plt.figure(figsize=(12,6))\n", + "sns.histplot(data=IMDB_movies['Metascore'], bins=30,kde=True,color='blue')\n", + "\n", + "plt.title(\"Distribuition of notes in the Metascore\")\n", + "plt.xlabel(\"Grades\", fontsize=14)\n", + "plt.ylabel(\"Frequency\", fontsize=14)\n", + "plt.xticks(fontsize=12)\n", + "plt.yticks(fontsize=12)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "fdf21f08", + "metadata": {}, + "source": [ + "- The Metascore grades given to all movies is following a normal distribution." + ] + }, + { + "cell_type": "code", + "execution_count": 277, + "id": "e85992c2", + "metadata": {}, + "outputs": [], + "source": [ + "#Filtering the data to get the total Revenue in millions per director\n", + "\n", + "revenue_per_director = IMDB_movies.groupby('Director')['RevenueMillions'].sum()\n", + "\n", + "top_10_revenue_per_director = revenue_per_director.nlargest(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 291, + "id": "45d5e1a8", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting the total revenue of the top 10 directors\n", + "plt.figure(figsize=(12,6))\n", + "top_10_revenue_per_director.plot(kind='bar',color='green')\n", + "plt.title(\"Total revenue per director\",fontsize=18)\n", + "plt.xlabel('Director', fontsize=14)\n", + "plt.xticks(rotation=45, ha='right',fontsize=12)\n", + "plt.yticks(fontsize=12)\n", + "plt.ylabel('Total revenue (millions of dollars)', fontsize=16)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "e58bc3f7", + "metadata": {}, + "source": [ + "- It is interesting to know which directos had got the most revenue during all the time considering the dataset available." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "a3544746", + "metadata": {}, + "outputs": [], + "source": [ + "#Filtering the data to get the average Revenue in millions per genre\n", + "\n", + "average_revenue_per_genre = IMDB_movies.groupby('Genre')['RevenueMillions'].mean()\n", + "\n", + "top_10_revenue_per_genre = average_revenue_per_genre.nlargest(10)" + ] + }, + { + "cell_type": "code", + "execution_count": 289, + "id": "4ac9866e", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Plotting the average revenue of the top 10 Genre\n", + "plt.figure(figsize=(12,6))\n", + "top_10_revenue_per_genre.plot(kind='bar',color='blue')\n", + "plt.title(\"Average revenue per genre\", fontsize=18)\n", + "plt.xlabel('Genre', fontsize=14)\n", + "plt.xticks(rotation=45, ha='right',fontsize=12)\n", + "plt.yticks(fontsize=12)\n", + "plt.ylabel('Average revenue (millions of dollars)', fontsize=14)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "be3ff193", + "metadata": {}, + "source": [ + "- In average we can see that movies classified as \"Adventure, Drama and Fantasy\" got an average revenue superior to 250 million dollars. But, can we get the same situation if we sum these values?" + ] + }, + { + "cell_type": "code", + "execution_count": 288, + "id": "2f48ea0f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Filtering the data to get the total Revenue in millions per genre\n", + "\n", + "total_revenue_per_genre = IMDB_movies.groupby('Genre')['RevenueMillions'].sum()\n", + "\n", + "top_10_total_revenue_per_genre = total_revenue_per_genre.nlargest(10)\n", + "\n", + "#Plotting the average revenue of the top 10 Genre\n", + "plt.figure(figsize=(12,6))\n", + "top_10_total_revenue_per_genre.plot(kind='bar',color='blue')\n", + "plt.title(\"Total revenue per genre\", fontsize=18)\n", + "plt.xlabel('Genre', fontsize=14)\n", + "plt.xticks(rotation=45, ha='right',fontsize=12)\n", + "plt.yticks(fontsize=12)\n", + "plt.ylabel('Total revenue (millions of dollars)', fontsize=14)\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "dd99b559", + "metadata": {}, + "source": [ + "- We can see that the scenario changes when we consider the total revenue, where now we have \"Action, Adventure and Sci-Fi\" as the first genre classification in the top 10, whereas \"Adventure, Drama and Fantasy\" is on 9th place." + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.13.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/desafio_renan.pdf b/desafio_renan.pdf new file mode 100644 index 0000000..f4df91f Binary files /dev/null and b/desafio_renan.pdf differ