events_theme #2
|
|
@ -10,7 +10,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"execution_count": 2,
|
||||
"id": "20eeb149-6618-4ef2-9cfd-ff062950f36c",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
|
|
@ -22,7 +22,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"execution_count": 3,
|
||||
"id": "30494c5e-9649-4fff-8708-617544188b20",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
|
|
@ -46,7 +46,7 @@
|
|||
" 'bdc2324-data/9']"
|
||||
]
|
||||
},
|
||||
"execution_count": 2,
|
||||
"execution_count": 3,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
|
|
@ -78,7 +78,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 4,
|
||||
"id": "f1cce705-46e1-42de-8e93-2ee15312d288",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
|
|
@ -88,10 +88,43 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 5,
|
||||
"id": "82d4db0e-0cd5-49af-a4d3-f17f54b1c03c",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"bdc2324-data/8/8campaign_stats.csv\n",
|
||||
"bdc2324-data/8/8campaigns.csv\n",
|
||||
"bdc2324-data/8/8categories.csv\n",
|
||||
"bdc2324-data/8/8countries.csv\n",
|
||||
"bdc2324-data/8/8currencies.csv\n",
|
||||
"bdc2324-data/8/8customer_target_mappings.csv\n",
|
||||
"bdc2324-data/8/8customersplus.csv\n",
|
||||
"bdc2324-data/8/8event_types.csv\n",
|
||||
"bdc2324-data/8/8events.csv\n",
|
||||
"bdc2324-data/8/8facilities.csv\n",
|
||||
"bdc2324-data/8/8link_stats.csv\n",
|
||||
"bdc2324-data/8/8pricing_formulas.csv\n",
|
||||
"bdc2324-data/8/8product_packs.csv\n",
|
||||
"bdc2324-data/8/8products.csv\n",
|
||||
"bdc2324-data/8/8products_groups.csv\n",
|
||||
"bdc2324-data/8/8purchases.csv\n",
|
||||
"bdc2324-data/8/8representation_category_capacities.csv\n",
|
||||
"bdc2324-data/8/8representations.csv\n",
|
||||
"bdc2324-data/8/8seasons.csv\n",
|
||||
"bdc2324-data/8/8suppliers.csv\n",
|
||||
"bdc2324-data/8/8target_types.csv\n",
|
||||
"bdc2324-data/8/8targets.csv\n",
|
||||
"bdc2324-data/8/8tickets.csv\n",
|
||||
"bdc2324-data/8/8type_of_categories.csv\n",
|
||||
"bdc2324-data/8/8type_of_pricing_formulas.csv\n",
|
||||
"bdc2324-data/8/8type_ofs.csv\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"# check the files in the directory\n",
|
||||
"\n",
|
||||
|
|
@ -103,7 +136,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 6,
|
||||
"id": "65cb38ad-52ae-4266-85d8-c47d81b00283",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
|
|
@ -670,13 +703,503 @@
|
|||
"## Create Universal database"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "7e460fbe-5067-4998-a1a8-9e3d07401750",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"We will first create a procedure to clean the datasets of a company and then merge them. Hence, we will be able to replicate this procedure for all companies and create a universal database.\n",
|
||||
"\n",
|
||||
"Let's first create our procedure for the company 1 and the datasets belongings to the theme producst"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 26,
|
||||
"id": "590a132a-4f57-4ea3-a282-2ef913e4b753",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"directory_path = '1'"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 27,
|
||||
"id": "0fbebfb7-a827-46b1-890b-86c9def7cdbb",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": []
|
||||
"source": [
|
||||
"theme_products = [\"products.csv\" ,\"categories.csv\", \"type_of_categories.csv\"]"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 28,
|
||||
"id": "b8aa5f8f-845e-4ee5-b80d-38b7061a94a2",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def remove_horodates(df):\n",
|
||||
" \"\"\"\n",
|
||||
" this function remove horodate columns like created_at and updated_at\n",
|
||||
" \"\"\"\n",
|
||||
" df = df.drop(columns = [\"created_at\", \"updated_at\"])\n",
|
||||
" return df"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 29,
|
||||
"id": "2c478213-09ae-44ef-8c7c-125bcb571642",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def order_columns_id(df):\n",
|
||||
" \"\"\"\n",
|
||||
" this function puts all id columns at the beginning in order to read the dataset easier\n",
|
||||
" \"\"\"\n",
|
||||
" substring = 'id'\n",
|
||||
" id_columns = [col for col in df.columns if substring in col]\n",
|
||||
" remaining_col = [col for col in df.columns if substring not in col]\n",
|
||||
" new_order = id_columns + remaining_col\n",
|
||||
" return df[new_order]"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 40,
|
||||
"id": "327e44b0-eb99-4022-b4ca-79548072f0f0",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"def percent_na(df):\n",
|
||||
" \"\"\"\n",
|
||||
" this function returns the percentage of na for each column\n",
|
||||
" \"\"\"\n",
|
||||
" percent_missing = df.isna().sum() * 100 / len(df)\n",
|
||||
" return percent_missing"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "markdown",
|
||||
"id": "98ac02cb-5295-47ca-99c6-99e622c5f388",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"#### Deep analysis of products.csv"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 32,
|
||||
"id": "862a7658-0602-4d94-bb58-d23774c00d32",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"File path : bdc2324-data/1/1products.csv\n",
|
||||
"Shape : (94803, 14)\n",
|
||||
"Number of columns : 14\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
"<div>\n",
|
||||
"<style scoped>\n",
|
||||
" .dataframe tbody tr th:only-of-type {\n",
|
||||
" vertical-align: middle;\n",
|
||||
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|
||||
"\n",
|
||||
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|
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th>id</th>\n",
|
||||
" <th>amount</th>\n",
|
||||
" <th>is_full_price</th>\n",
|
||||
" <th>representation_id</th>\n",
|
||||
" <th>pricing_formula_id</th>\n",
|
||||
" <th>created_at</th>\n",
|
||||
" <th>updated_at</th>\n",
|
||||
" <th>category_id</th>\n",
|
||||
" <th>apply_price</th>\n",
|
||||
" <th>products_group_id</th>\n",
|
||||
" <th>product_pack_id</th>\n",
|
||||
" <th>extra_field</th>\n",
|
||||
" <th>amount_consumption</th>\n",
|
||||
" <th>identifier</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>10682</td>\n",
|
||||
" <td>9.0</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>914</td>\n",
|
||||
" <td>114</td>\n",
|
||||
" <td>2020-09-03 14:09:43.119798+02:00</td>\n",
|
||||
" <td>2020-09-03 14:09:43.119798+02:00</td>\n",
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
" <td>False</td>\n",
|
||||
" <td>273</td>\n",
|
||||
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|
||||
" <td>2020-09-03 13:21:22.711773+02:00</td>\n",
|
||||
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||||
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||||
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||||
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|
||||
" <th>2</th>\n",
|
||||
" <td>20873</td>\n",
|
||||
" <td>11.5</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>275</td>\n",
|
||||
" <td>137</td>\n",
|
||||
" <td>2020-09-03 14:46:33.589030+02:00</td>\n",
|
||||
" <td>2020-09-03 14:46:33.589030+02:00</td>\n",
|
||||
" <td>1</td>\n",
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||||
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||||
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||||
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|
||||
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|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>157142</td>\n",
|
||||
" <td>8.0</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>82519</td>\n",
|
||||
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|
||||
" <td>2022-01-28 19:29:23.525722+01:00</td>\n",
|
||||
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|
||||
" <td>5</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>156773</td>\n",
|
||||
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|
||||
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|
||||
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|
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|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>1341</td>\n",
|
||||
" <td>8.5</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>9</td>\n",
|
||||
" <td>93</td>\n",
|
||||
" <td>2020-09-03 13:29:30.773089+02:00</td>\n",
|
||||
" <td>2020-09-03 13:29:30.773089+02:00</td>\n",
|
||||
" <td>1</td>\n",
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||||
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||||
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|
||||
"</table>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" id amount is_full_price representation_id pricing_formula_id \\\n",
|
||||
"0 10682 9.0 False 914 114 \n",
|
||||
"1 478 9.5 False 273 131 \n",
|
||||
"2 20873 11.5 False 275 137 \n",
|
||||
"3 157142 8.0 False 82519 9 \n",
|
||||
"4 1341 8.5 False 9 93 \n",
|
||||
"\n",
|
||||
" created_at updated_at \\\n",
|
||||
"0 2020-09-03 14:09:43.119798+02:00 2020-09-03 14:09:43.119798+02:00 \n",
|
||||
"1 2020-09-03 13:21:22.711773+02:00 2020-09-03 13:21:22.711773+02:00 \n",
|
||||
"2 2020-09-03 14:46:33.589030+02:00 2020-09-03 14:46:33.589030+02:00 \n",
|
||||
"3 2022-01-28 19:29:23.525722+01:00 2022-01-28 19:29:23.525722+01:00 \n",
|
||||
"4 2020-09-03 13:29:30.773089+02:00 2020-09-03 13:29:30.773089+02:00 \n",
|
||||
"\n",
|
||||
" category_id apply_price products_group_id product_pack_id extra_field \\\n",
|
||||
"0 41 0.0 10655 1 NaN \n",
|
||||
"1 1 0.0 471 1 NaN \n",
|
||||
"2 1 0.0 20825 1 NaN \n",
|
||||
"3 5 0.0 156773 1 NaN \n",
|
||||
"4 1 0.0 1175 1 NaN \n",
|
||||
"\n",
|
||||
" amount_consumption identifier \n",
|
||||
"0 NaN 35c88f2db8a63d7474e46eb8ca9260e7 \n",
|
||||
"1 NaN 8a179671ab198e570e6a104c4451379f \n",
|
||||
"2 NaN ee83779ce29e67ad251e40234b426d6a \n",
|
||||
"3 NaN d865383579314b791aa4bcf3fb418f17 \n",
|
||||
"4 NaN f1c4689bc47dee6f60b56d74b593dd46 "
|
||||
]
|
||||
},
|
||||
"execution_count": 32,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"products = display_databases(\"1products.csv\")\n",
|
||||
"print(\"Number of columns : \", len(products.columns))\n",
|
||||
"products.head()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 33,
|
||||
"id": "f0db8c51-2792-4d49-9b1a-d98ce0d9ea28",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Number of columns : 12\n",
|
||||
"Columns : Index(['id', 'representation_id', 'pricing_formula_id', 'category_id',\n",
|
||||
" 'products_group_id', 'product_pack_id', 'identifier', 'amount',\n",
|
||||
" 'is_full_price', 'apply_price', 'extra_field', 'amount_consumption'],\n",
|
||||
" dtype='object')\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"data": {
|
||||
"text/html": [
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"\n",
|
||||
" .dataframe tbody tr th {\n",
|
||||
" vertical-align: top;\n",
|
||||
" }\n",
|
||||
"\n",
|
||||
" .dataframe thead th {\n",
|
||||
" text-align: right;\n",
|
||||
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|
||||
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|
||||
"<table border=\"1\" class=\"dataframe\">\n",
|
||||
" <thead>\n",
|
||||
" <tr style=\"text-align: right;\">\n",
|
||||
" <th></th>\n",
|
||||
" <th>id</th>\n",
|
||||
" <th>representation_id</th>\n",
|
||||
" <th>pricing_formula_id</th>\n",
|
||||
" <th>category_id</th>\n",
|
||||
" <th>products_group_id</th>\n",
|
||||
" <th>product_pack_id</th>\n",
|
||||
" <th>identifier</th>\n",
|
||||
" <th>amount</th>\n",
|
||||
" <th>is_full_price</th>\n",
|
||||
" <th>apply_price</th>\n",
|
||||
" <th>extra_field</th>\n",
|
||||
" <th>amount_consumption</th>\n",
|
||||
" </tr>\n",
|
||||
" </thead>\n",
|
||||
" <tbody>\n",
|
||||
" <tr>\n",
|
||||
" <th>0</th>\n",
|
||||
" <td>10682</td>\n",
|
||||
" <td>914</td>\n",
|
||||
" <td>114</td>\n",
|
||||
" <td>41</td>\n",
|
||||
" <td>10655</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>35c88f2db8a63d7474e46eb8ca9260e7</td>\n",
|
||||
" <td>9.0</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>1</th>\n",
|
||||
" <td>478</td>\n",
|
||||
" <td>273</td>\n",
|
||||
" <td>131</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>471</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>8a179671ab198e570e6a104c4451379f</td>\n",
|
||||
" <td>9.5</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>2</th>\n",
|
||||
" <td>20873</td>\n",
|
||||
" <td>275</td>\n",
|
||||
" <td>137</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>20825</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>ee83779ce29e67ad251e40234b426d6a</td>\n",
|
||||
" <td>11.5</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>3</th>\n",
|
||||
" <td>157142</td>\n",
|
||||
" <td>82519</td>\n",
|
||||
" <td>9</td>\n",
|
||||
" <td>5</td>\n",
|
||||
" <td>156773</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>d865383579314b791aa4bcf3fb418f17</td>\n",
|
||||
" <td>8.0</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" </tr>\n",
|
||||
" <tr>\n",
|
||||
" <th>4</th>\n",
|
||||
" <td>1341</td>\n",
|
||||
" <td>9</td>\n",
|
||||
" <td>93</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>1175</td>\n",
|
||||
" <td>1</td>\n",
|
||||
" <td>f1c4689bc47dee6f60b56d74b593dd46</td>\n",
|
||||
" <td>8.5</td>\n",
|
||||
" <td>False</td>\n",
|
||||
" <td>0.0</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" <td>NaN</td>\n",
|
||||
" </tr>\n",
|
||||
" </tbody>\n",
|
||||
"</table>\n",
|
||||
"</div>"
|
||||
],
|
||||
"text/plain": [
|
||||
" id representation_id pricing_formula_id category_id \\\n",
|
||||
"0 10682 914 114 41 \n",
|
||||
"1 478 273 131 1 \n",
|
||||
"2 20873 275 137 1 \n",
|
||||
"3 157142 82519 9 5 \n",
|
||||
"4 1341 9 93 1 \n",
|
||||
"\n",
|
||||
" products_group_id product_pack_id identifier \\\n",
|
||||
"0 10655 1 35c88f2db8a63d7474e46eb8ca9260e7 \n",
|
||||
"1 471 1 8a179671ab198e570e6a104c4451379f \n",
|
||||
"2 20825 1 ee83779ce29e67ad251e40234b426d6a \n",
|
||||
"3 156773 1 d865383579314b791aa4bcf3fb418f17 \n",
|
||||
"4 1175 1 f1c4689bc47dee6f60b56d74b593dd46 \n",
|
||||
"\n",
|
||||
" amount is_full_price apply_price extra_field amount_consumption \n",
|
||||
"0 9.0 False 0.0 NaN NaN \n",
|
||||
"1 9.5 False 0.0 NaN NaN \n",
|
||||
"2 11.5 False 0.0 NaN NaN \n",
|
||||
"3 8.0 False 0.0 NaN NaN \n",
|
||||
"4 8.5 False 0.0 NaN NaN "
|
||||
]
|
||||
},
|
||||
"execution_count": 33,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"products = remove_horodates(products)\n",
|
||||
"print(\"Number of columns : \", len(products.columns))\n",
|
||||
"products = order_columns_id(products)\n",
|
||||
"print(\"Columns : \", products.columns)\n",
|
||||
"products.head()"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 35,
|
||||
"id": "a383474f-7da9-422c-bb69-3f0cc0b7053f",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"id int64\n",
|
||||
"representation_id int64\n",
|
||||
"pricing_formula_id int64\n",
|
||||
"category_id int64\n",
|
||||
"products_group_id int64\n",
|
||||
"product_pack_id int64\n",
|
||||
"identifier object\n",
|
||||
"amount float64\n",
|
||||
"is_full_price bool\n",
|
||||
"apply_price float64\n",
|
||||
"extra_field float64\n",
|
||||
"amount_consumption float64\n",
|
||||
"dtype: object\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"print(products.dtypes)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 38,
|
||||
"id": "460749ac-aa26-4216-8667-518546f72f72",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"id 0.0\n",
|
||||
"representation_id 0.0\n",
|
||||
"pricing_formula_id 0.0\n",
|
||||
"category_id 0.0\n",
|
||||
"products_group_id 0.0\n",
|
||||
"product_pack_id 0.0\n",
|
||||
"identifier 0.0\n",
|
||||
"amount 0.0\n",
|
||||
"is_full_price 0.0\n",
|
||||
"apply_price 0.0\n",
|
||||
"extra_field 100.0\n",
|
||||
"amount_consumption 100.0\n",
|
||||
"dtype: float64\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"percent_missing = products.isna().sum() * 100 / len(products)\n",
|
||||
"print(percent_missing)"
|
||||
]
|
||||
}
|
||||
],
|
||||
"metadata": {
|
||||
|
|
|
|||
Loading…
Reference in New Issue
Block a user