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firms_in_br_ecom.ipynb
{
"cells": [
{
"cell_type": "markdown",
"id": "73307784-4687-423b-afc2-69fb8f4a6573",
"metadata": {},
"source": [
"# E-commerce and claims around MSME"
]
},
{
"cell_type": "markdown",
"id": "7ec29996-b19c-4112-8451-6281c091544d",
"metadata": {},
"source": [
"## 1) Introduction\n",
"\n",
"As E-commerce has grown we have seen growing claims made about it ability to empower MSME. It allows them to enter into wider and online markets through engaging with e-commerce. It allows them to use e-commerce to expand and grow. The question, is does this have a basis in reality?\n",
"\n",
"One of the challenges is that there is previous little evidence that can allow us to analyse such claims. E-commerce platforms guard the data they produce closely as they are seen as a core commercially sensitive asset. Thus, we often have to rely on platform produced data, or ad-hoc and often non-replicable data that has come from individual researchers."
]
},
{
"cell_type": "markdown",
"id": "0d767c92-0738-4e9d-a271-f4a435ba410b",
"metadata": {},
"source": [
"### olist data\n",
"olist is a Brazilian based e-commerce service provider. It provides sellers with 'middleware' which allows them selle online acorss multiple platforms in Brazil. It therefore acts a little like other technologies such as Shopify that allows small firms to organise themselves online and use the software to inegrate with platforms. \n",
"\n",
"olist have provided a sample dataset of 100k e-commerce sales publically on Kaggle from 2016 to 2018 for analysis. Here we will use this sample to consider some of the questions about e-commerce and MSME. It is, the best of our knowledge the most comperhensive dataset with e-commerce listings available\n",
"\n",
"See https://www.kaggle.com/datasets/olistbr/brazilian-ecommerce\n"
]
},
{
"cell_type": "markdown",
"id": "f8e5d369-a058-4b6f-997f-1a43e839d701",
"metadata": {},
"source": [
"### Limitations\n",
"- This is not a full dataset. According to the provider of the data it represents \"a simple random sample of all orders that received a customer review\". \n",
"- We cannot infer absolute sales of firms based on this. \n",
"- As oList itself is not a platform, this dataset does not provide any overview of platform behaviour\n",
"\n",
"However the dataset can provide use with some perpectives on the supply side of e-commerce and platforms"
]
},
{
"cell_type": "markdown",
"id": "7c6196a6-55d9-4297-9837-7554664b176a",
"metadata": {},
"source": [
"## 2) Loading dataset"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "bb4ff44a-c01c-409e-b5e6-2f60396d5f75",
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import numpy as np\n",
"import matplotlib as plt\n",
"import plotly as py\n",
"import plotly.graph_objs as go\n",
"import matplotlib.pyplot as plt\n",
"from matplotlib import cm\n",
"\n",
"pd.options.display.max_columns = None"
]
},
{
"cell_type": "markdown",
"id": "f5ba4d6b-d525-43ac-875e-bb317261c31c",
"metadata": {},
"source": [
"We use the CSVs supplied on Kaggle. \n",
"\n",
"As shown on the Kaggle page, the data schema is quite complex and represents a set of tables from a database. Thus to use, we need to link between the difference sources of data provided"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "555d6ca2-63f4-4cb6-b959-b9910077cd0e",
"metadata": {},
"outputs": [],
"source": [
"seller_data = pd.read_csv(\"brazilian-ecommerce-datav2/olist_sellers_dataset.csv\", dtype={'seller_zip_code_prefix':object})\n",
"seller_data.rename(columns={'seller_zip_code_prefix':'zip_code_prefix'}, inplace=True)"
]
},
{
"cell_type": "markdown",
"id": "bf236ea4-35d4-4061-9a00-75264e6e2b20",
"metadata": {},
"source": [
"The below creates a table of each order_item (a product purchases within an order) with links to the customer,order and seller using the Pandas \"merge\" functionality"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "15ad5140-4aa8-4d53-9f19-efa05fd85132",
"metadata": {},
"outputs": [],
"source": [
"products_data = pd.read_csv(\"brazilian-ecommerce-datav2/olist_products_dataset.csv\")\n",
"order_items_data = pd.read_csv(\"brazilian-ecommerce-datav2/olist_order_items_dataset.csv\")\n",
"orders_data = pd.read_csv(\"brazilian-ecommerce-datav2/olist_orders_dataset.csv\")\n",
"customer_data = pd.read_csv(\"brazilian-ecommerce-datav2/olist_customers_dataset.csv\")\n",
"cat_eng_data = pd.read_csv(\"./product_category_name_translation.csv\")\n",
"\n",
"orders_data['order_purchase_timestamp'] = pd.to_datetime(orders_data['order_purchase_timestamp'])\n",
"\n",
"combined_data = pd.merge(orders_data, order_items_data, on='order_id')\n",
"combined_data = pd.merge(combined_data, seller_data, on='seller_id')\n",
"combined_data = pd.merge(combined_data, products_data, on='product_id')\n",
"combined_data = pd.merge(combined_data, customer_data, on='customer_id')\n",
"combined_data = pd.merge(combined_data, cat_eng_data, on='product_category_name')"
]
},
{
"cell_type": "markdown",
"id": "bc941d79-252b-42d4-a478-93643adcbca6",
"metadata": {},
"source": [
"Once the merging is done we have a unwieldy table as shown below that represents a set of sales through oDesk"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "87a7ffe9-5c9a-4c9f-b97e-56b2dd161c10",
"metadata": {},
"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>order_id</th>\n",
" <th>customer_id</th>\n",
" <th>order_status</th>\n",
" <th>order_purchase_timestamp</th>\n",
" <th>order_approved_at</th>\n",
" <th>order_delivered_carrier_date</th>\n",
" <th>order_delivered_customer_date</th>\n",
" <th>order_estimated_delivery_date</th>\n",
" <th>order_item_id</th>\n",
" <th>product_id</th>\n",
" <th>seller_id</th>\n",
" <th>shipping_limit_date</th>\n",
" <th>price</th>\n",
" <th>freight_value</th>\n",
" <th>zip_code_prefix</th>\n",
" <th>seller_city</th>\n",
" <th>seller_state</th>\n",
" <th>product_category_name</th>\n",
" <th>product_name_lenght</th>\n",
" <th>product_description_lenght</th>\n",
" <th>product_photos_qty</th>\n",
" <th>product_weight_g</th>\n",
" <th>product_length_cm</th>\n",
" <th>product_height_cm</th>\n",
" <th>product_width_cm</th>\n",
" <th>customer_unique_id</th>\n",
" <th>customer_zip_code_prefix</th>\n",
" <th>customer_city</th>\n",
" <th>customer_state</th>\n",
" <th>product_category_name_english</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>e481f51cbdc54678b7cc49136f2d6af7</td>\n",
" <td>9ef432eb6251297304e76186b10a928d</td>\n",
" <td>delivered</td>\n",
" <td>2017-10-02 10:56:33</td>\n",
" <td>2017-10-02 11:07:15</td>\n",
" <td>2017-10-04 19:55:00</td>\n",
" <td>2017-10-10 21:25:13</td>\n",
" <td>2017-10-18 00:00:00</td>\n",
" <td>1</td>\n",
" <td>87285b34884572647811a353c7ac498a</td>\n",
" <td>3504c0cb71d7fa48d967e0e4c94d59d9</td>\n",
" <td>2017-10-06 11:07:15</td>\n",
" <td>29.99</td>\n",
" <td>8.72</td>\n",
" <td>09350</td>\n",
" <td>maua</td>\n",
" <td>SP</td>\n",
" <td>utilidades_domesticas</td>\n",
" <td>40.0</td>\n",
" <td>268.0</td>\n",
" <td>4.0</td>\n",
" <td>500.0</td>\n",
" <td>19.0</td>\n",
" <td>8.0</td>\n",
" <td>13.0</td>\n",
" <td>7c396fd4830fd04220f754e42b4e5bff</td>\n",
" <td>3149</td>\n",
" <td>sao paulo</td>\n",
" <td>SP</td>\n",
" <td>housewares</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>128e10d95713541c87cd1a2e48201934</td>\n",
" <td>a20e8105f23924cd00833fd87daa0831</td>\n",
" <td>delivered</td>\n",
" <td>2017-08-15 18:29:31</td>\n",
" <td>2017-08-15 20:05:16</td>\n",
" <td>2017-08-17 15:28:33</td>\n",
" <td>2017-08-18 14:44:43</td>\n",
" <td>2017-08-28 00:00:00</td>\n",
" <td>1</td>\n",
" <td>87285b34884572647811a353c7ac498a</td>\n",
" <td>3504c0cb71d7fa48d967e0e4c94d59d9</td>\n",
" <td>2017-08-21 20:05:16</td>\n",
" <td>29.99</td>\n",
" <td>7.78</td>\n",
" <td>09350</td>\n",
" <td>maua</td>\n",
" <td>SP</td>\n",
" <td>utilidades_domesticas</td>\n",
" <td>40.0</td>\n",
" <td>268.0</td>\n",
" <td>4.0</td>\n",
" <td>500.0</td>\n",
" <td>19.0</td>\n",
" <td>8.0</td>\n",
" <td>13.0</td>\n",
" <td>3a51803cc0d012c3b5dc8b7528cb05f7</td>\n",
" <td>3366</td>\n",
" <td>sao paulo</td>\n",
" <td>SP</td>\n",
" <td>housewares</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>0e7e841ddf8f8f2de2bad69267ecfbcf</td>\n",
" <td>26c7ac168e1433912a51b924fbd34d34</td>\n",
" <td>delivered</td>\n",
" <td>2017-08-02 18:24:47</td>\n",
" <td>2017-08-02 18:43:15</td>\n",
" <td>2017-08-04 17:35:43</td>\n",
" <td>2017-08-07 18:30:01</td>\n",
" <td>2017-08-15 00:00:00</td>\n",
" <td>1</td>\n",
" <td>87285b34884572647811a353c7ac498a</td>\n",
" <td>3504c0cb71d7fa48d967e0e4c94d59d9</td>\n",
" <td>2017-08-08 18:37:31</td>\n",
" <td>29.99</td>\n",
" <td>7.78</td>\n",
" <td>09350</td>\n",
" <td>maua</td>\n",
" <td>SP</td>\n",
" <td>utilidades_domesticas</td>\n",
" <td>40.0</td>\n",
" <td>268.0</td>\n",
" <td>4.0</td>\n",
" <td>500.0</td>\n",
" <td>19.0</td>\n",
" <td>8.0</td>\n",
" <td>13.0</td>\n",
" <td>ef0996a1a279c26e7ecbd737be23d235</td>\n",
" <td>2290</td>\n",
" <td>sao paulo</td>\n",
" <td>SP</td>\n",
" <td>housewares</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>bfc39df4f36c3693ff3b63fcbea9e90a</td>\n",
" <td>53904ddbea91e1e92b2b3f1d09a7af86</td>\n",
" <td>delivered</td>\n",
" <td>2017-10-23 23:26:46</td>\n",
" <td>2017-10-25 02:14:11</td>\n",
" <td>2017-10-27 16:48:46</td>\n",
" <td>2017-11-07 18:04:59</td>\n",
" <td>2017-11-13 00:00:00</td>\n",
" <td>1</td>\n",
" <td>87285b34884572647811a353c7ac498a</td>\n",
" <td>3504c0cb71d7fa48d967e0e4c94d59d9</td>\n",
" <td>2017-10-31 02:14:11</td>\n",
" <td>29.99</td>\n",
" <td>14.10</td>\n",
" <td>09350</td>\n",
" <td>maua</td>\n",
" <td>SP</td>\n",
" <td>utilidades_domesticas</td>\n",
" <td>40.0</td>\n",
" <td>268.0</td>\n",
" <td>4.0</td>\n",
" <td>500.0</td>\n",
" <td>19.0</td>\n",
" <td>8.0</td>\n",
" <td>13.0</td>\n",
" <td>e781fdcc107d13d865fc7698711cc572</td>\n",
" <td>88032</td>\n",
" <td>florianopolis</td>\n",
" <td>SC</td>\n",
" <td>housewares</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>5f49f31e537f8f1a496454b48edbe34d</td>\n",
" <td>a7260a6ccba78544ccfaf43f920b7240</td>\n",
" <td>delivered</td>\n",
" <td>2017-08-24 11:31:28</td>\n",
" <td>2017-08-24 11:45:25</td>\n",
" <td>2017-08-25 14:17:55</td>\n",
" <td>2017-08-28 20:12:20</td>\n",
" <td>2017-09-14 00:00:00</td>\n",
" <td>2</td>\n",
" <td>be03d93320192443b8fa24c0ca6ead98</td>\n",
" <td>3504c0cb71d7fa48d967e0e4c94d59d9</td>\n",
" <td>2017-08-30 11:45:25</td>\n",
" <td>46.80</td>\n",
" <td>67.70</td>\n",
" <td>09350</td>\n",
" <td>maua</td>\n",
" <td>SP</td>\n",
" <td>utilidades_domesticas</td>\n",
" <td>59.0</td>\n",
" <td>189.0</td>\n",
" <td>3.0</td>\n",
" <td>775.0</td>\n",
" <td>16.0</td>\n",
" <td>16.0</td>\n",
" <td>13.0</td>\n",
" <td>7a1de9bde89aedca8c5fbad489c5571c</td>\n",
" <td>1315</td>\n",
" <td>sao paulo</td>\n",
" <td>SP</td>\n",
" <td>housewares</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" order_id customer_id \\\n",
"0 e481f51cbdc54678b7cc49136f2d6af7 9ef432eb6251297304e76186b10a928d \n",
"1 128e10d95713541c87cd1a2e48201934 a20e8105f23924cd00833fd87daa0831 \n",
"2 0e7e841ddf8f8f2de2bad69267ecfbcf 26c7ac168e1433912a51b924fbd34d34 \n",
"3 bfc39df4f36c3693ff3b63fcbea9e90a 53904ddbea91e1e92b2b3f1d09a7af86 \n",
"4 5f49f31e537f8f1a496454b48edbe34d a7260a6ccba78544ccfaf43f920b7240 \n",
"\n",
" order_status order_purchase_timestamp order_approved_at \\\n",
"0 delivered 2017-10-02 10:56:33 2017-10-02 11:07:15 \n",
"1 delivered 2017-08-15 18:29:31 2017-08-15 20:05:16 \n",
"2 delivered 2017-08-02 18:24:47 2017-08-02 18:43:15 \n",
"3 delivered 2017-10-23 23:26:46 2017-10-25 02:14:11 \n",
"4 delivered 2017-08-24 11:31:28 2017-08-24 11:45:25 \n",
"\n",
" order_delivered_carrier_date order_delivered_customer_date \\\n",
"0 2017-10-04 19:55:00 2017-10-10 21:25:13 \n",
"1 2017-08-17 15:28:33 2017-08-18 14:44:43 \n",
"2 2017-08-04 17:35:43 2017-08-07 18:30:01 \n",
"3 2017-10-27 16:48:46 2017-11-07 18:04:59 \n",
"4 2017-08-25 14:17:55 2017-08-28 20:12:20 \n",
"\n",
" order_estimated_delivery_date order_item_id \\\n",
"0 2017-10-18 00:00:00 1 \n",
"1 2017-08-28 00:00:00 1 \n",
"2 2017-08-15 00:00:00 1 \n",
"3 2017-11-13 00:00:00 1 \n",
"4 2017-09-14 00:00:00 2 \n",
"\n",
" product_id seller_id \\\n",
"0 87285b34884572647811a353c7ac498a 3504c0cb71d7fa48d967e0e4c94d59d9 \n",
"1 87285b34884572647811a353c7ac498a 3504c0cb71d7fa48d967e0e4c94d59d9 \n",
"2 87285b34884572647811a353c7ac498a 3504c0cb71d7fa48d967e0e4c94d59d9 \n",
"3 87285b34884572647811a353c7ac498a 3504c0cb71d7fa48d967e0e4c94d59d9 \n",
"4 be03d93320192443b8fa24c0ca6ead98 3504c0cb71d7fa48d967e0e4c94d59d9 \n",
"\n",
" shipping_limit_date price freight_value zip_code_prefix seller_city \\\n",
"0 2017-10-06 11:07:15 29.99 8.72 09350 maua \n",
"1 2017-08-21 20:05:16 29.99 7.78 09350 maua \n",
"2 2017-08-08 18:37:31 29.99 7.78 09350 maua \n",
"3 2017-10-31 02:14:11 29.99 14.10 09350 maua \n",
"4 2017-08-30 11:45:25 46.80 67.70 09350 maua \n",
"\n",
" seller_state product_category_name product_name_lenght \\\n",
"0 SP utilidades_domesticas 40.0 \n",
"1 SP utilidades_domesticas 40.0 \n",
"2 SP utilidades_domesticas 40.0 \n",
"3 SP utilidades_domesticas 40.0 \n",
"4 SP utilidades_domesticas 59.0 \n",
"\n",
" product_description_lenght product_photos_qty product_weight_g \\\n",
"0 268.0 4.0 500.0 \n",
"1 268.0 4.0 500.0 \n",
"2 268.0 4.0 500.0 \n",
"3 268.0 4.0 500.0 \n",
"4 189.0 3.0 775.0 \n",
"\n",
" product_length_cm product_height_cm product_width_cm \\\n",
"0 19.0 8.0 13.0 \n",
"1 19.0 8.0 13.0 \n",
"2 19.0 8.0 13.0 \n",
"3 19.0 8.0 13.0 \n",
"4 16.0 16.0 13.0 \n",
"\n",
" customer_unique_id customer_zip_code_prefix customer_city \\\n",
"0 7c396fd4830fd04220f754e42b4e5bff 3149 sao paulo \n",
"1 3a51803cc0d012c3b5dc8b7528cb05f7 3366 sao paulo \n",
"2 ef0996a1a279c26e7ecbd737be23d235 2290 sao paulo \n",
"3 e781fdcc107d13d865fc7698711cc572 88032 florianopolis \n",
"4 7a1de9bde89aedca8c5fbad489c5571c 1315 sao paulo \n",
"\n",
" customer_state product_category_name_english \n",
"0 SP housewares \n",
"1 SP housewares \n",
"2 SP housewares \n",
"3 SC housewares \n",
"4 SP housewares "
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"combined_data.head()"
]
},
{
"cell_type": "markdown",
"id": "ca354fa0-5cbe-4277-b344-510a8a038929",
"metadata": {},
"source": [
"## 3) Overall statistics"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "a408484d-41ef-425e-9e76-64e0e2b56cea",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of orders in dataset is 97256\n",
"Number of products ordered in dataset is 111023\n",
"Number of seller firms in dataset is 3033\n",
"Timespan of sales - First: 2016-09-04 21:15:19 Last: 2018-09-03 09:06:57\n"
]
}
],
"source": [
"print(\"Number of orders in dataset is\", len(combined_data['order_id'].unique()))\n",
"print(\"Number of products ordered in dataset is\", combined_data.shape[0])\n",
"print(\"Number of seller firms in dataset is\", len(combined_data['seller_id'].unique()))\n",
"print(\"Timespan of sales - First:\", combined_data['order_purchase_timestamp'].min(), \"Last:\", combined_data['order_purchase_timestamp'].max())"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "e6fb02d0-1286-4b75-8d40-76a36e309c1f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Maximum number of sales by firm is 2033\n",
"Average number of sales (over full period) 36.6\n"
]
}
],
"source": [
"seller_counts = combined_data.groupby(['seller_id'], as_index=False).agg({'price':'count', 'order_purchase_timestamp':'min'}) \n",
"seller_counts.rename(columns={'price': 'no_sales', 'order_purchase_timestamp':'first_sale_date'}, inplace=True)\n",
"print(\"Maximum number of sales by firm is\", seller_counts['no_sales'].max())\n",
"print(\"Average number of sales (over full period)\", round(seller_counts['no_sales'].sum()/len(combined_data['seller_id'].unique()),1))"
]
},
{
"cell_type": "markdown",
"id": "912bf328-8223-4f12-b41b-461d263506ad",
"metadata": {},
"source": [
"## 4) Power laws and sellers"
]
},
{
"cell_type": "markdown",
"id": "c73ffdde-910d-43c3-82fd-bb6c04afb5a6",
"metadata": {},
"source": [
"It is common that e-commerce sales display \"power laws\". That is that you get a split between a few e-commerce sellers who sell many goods and many that sell a few. This is also known as the \"long tailed\" effect.\n",
"\n",
"Let examine the nature of power laws across the firms in the dataset"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "22c997d0-9c69-457f-96ef-fa2f95dbcd71",
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
"<Figure size 2160x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use('ggplot')\n",
"\n",
"seller_agg = seller_counts.groupby(['no_sales'], as_index=False).agg({'seller_id':'count'}) #Number of firms with x sales\n",
"seller_agg.rename(columns={'seller_id': 'no_firms'}, inplace=True)\n",
"seller_agg.plot(kind='scatter', x='no_sales',y='no_firms', legend=False, figsize=(30,10), title=\"Number of firms with x sales\")\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "32e3b72d-ebb7-4199-9d1e-0a5cb4717842",
"metadata": {},
"source": [
"This overall the dataset matches with the idea of power laws. A few firms have made over 1000 sales, but the majority less than 5 and most have made only one sale\n",
"\n",
"Lets use cumulative data and some plotting features to display this relatinship in a clearer way"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "a6eecc60-2097-424a-bb18-e6aa25348f31",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 864x432 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use('ggplot')\n",
"\n",
"tmp = seller_counts.sort_values(by=['no_sales'], ascending=False).reset_index().copy()\n",
"total_sales = tmp['no_sales'].sum()\n",
"tmp['no_sales_cum'] = tmp['no_sales'].cumsum()\n",
"tmp['pc_sales_cum'] = tmp['no_sales_cum']/total_sales\n",
"tmp['index'] = tmp.index\n",
"\n",
"plot = tmp.plot(kind='line', title=\"Cumulative sales ordered by firms with largest sales\", x='index', \n",
" y='pc_sales_cum', legend=False, figsize=(12,6))\n",
"plot.set_xlabel(\"Firm no (sorted)\")\n",
"plot.set_ylabel(\"% total sales\")\n",
"\n",
"markers = [0.5, 0.75, 0.9, 0.95, 0.99]\n",
"firms_lt = []\n",
"total_firms = seller_counts.shape[0]\n",
"color = 'grey'\n",
"\n",
"#A set of markers that show the spread of firms\n",
"for mark in markers:\n",
" no_below = tmp[tmp['pc_sales_cum'] < mark].shape[0]\n",
" plot.axhline(mark, color=color, lw=1, ls='--')\n",
" text = \"{} firms ({}% of all firms) have {}% of sales\".format(no_below, int(no_below*100/total_firms) ,int(mark*100))\n",
" plt.text(plot.get_xlim()[1]+10, mark-0.01, text , rotation=0, fontsize=10)\n",
" #firms_lt.append(tmp[tmp['pc_sales_cum'] < mark].shape[0])\n",
" \n",
"# firms_lt\n",
"plt.tight_layout()\n",
"plt.show()\n"
]
},
{
"cell_type": "markdown",
"id": "93f4cb6d-44b7-41e7-aa5a-0c623e117d94",
"metadata": {},
"source": [
"This graph shows the power law in more stark detail: \n",
"- 4% of firms in the dataset make up 50% of sales\n",
"- 30% of firms make up 90% of sales. "
]
},
{
"cell_type": "markdown",
"id": "f140194e-6d2d-4a68-884d-7709b33d8d5c",
"metadata": {},
"source": [
"## 5) Sales in time"
]
},
{
"cell_type": "markdown",
"id": "b14d03c2-4711-4121-94fa-60dbe18aa4ee",
"metadata": {},
"source": [
"The above provides some general properties of the dataset. Now lets examine the temporal patterns."
]
},
{
"cell_type": "markdown",
"id": "734a6703-62e9-4286-8d16-bc03703d0151",
"metadata": {},
"source": [
"a) When do new sellers join (aggregate)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "ccd5b631-4fd0-41d0-b1a4-e2caba69d235",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"new_sellers = seller_counts.groupby([seller_counts['first_sale_date'].dt.strftime('%Y-%m')]).agg({'seller_id':'count'}).reset_index()\n",
"new_sellers.rename(columns = {'seller_id':'no_new_sellers'}, inplace = True)\n",
"new_sellers['no_now_sellers_cum'] = new_sellers['no_new_sellers'].cumsum()\n",
"# new_sellers.tail()"
]
},
{
"cell_type": "markdown",
"id": "fe63460a-20f0-42e8-8695-c257a3d40251",
"metadata": {},
"source": [
"b) Grouping sales by time and sellers"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "b25020db-71a5-4cad-aec3-9b0c249b774f",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"m_sales_by_sellers = combined_data.groupby([combined_data['order_purchase_timestamp'].dt.strftime('%Y-%m'), 'seller_id']).agg(\n",
" {'order_id':'count', 'price':'sum', 'freight_value':'sum'}).reset_index()\n",
"m_sales_by_sellers.rename(columns = {'order_id':'no_sales'}, inplace = True)\n",
"m_sales_by_sellers['total_price'] = m_sales_by_sellers['price'] + m_sales_by_sellers['freight_value']"
]
},
{
"cell_type": "markdown",
"id": "c7741dee-0c0f-4da4-9c89-4976d266233e",
"metadata": {},
"source": [
"c) Grouping sales by time only"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "78c8bdb1-4bf8-4016-9444-1344e12d7d01",
"metadata": {},
"outputs": [],
"source": [
"sales_agg = m_sales_by_sellers.groupby(['order_purchase_timestamp']).agg(\n",
" {'seller_id':'count', 'no_sales':'sum', 'total_price':'sum'}).reset_index()\n",
"sales_agg.rename(columns = {'seller_id':'no_unique_sellers'}, inplace = True)\n",
"\n",
"sales_agg['total_price_cum'] = sales_agg['total_price'].cumsum()\n",
"sales_agg['no_sales_cum'] = sales_agg['no_sales'].cumsum()\n",
"sales_agg['no_sales_by_unique_seller'] = sales_agg['no_sales']/sales_agg['no_unique_sellers']\n",
"sales_agg['price_by_unique_seller'] = sales_agg['total_price']/sales_agg['no_unique_sellers']\n",
"sales_agg['av_sale_cost'] = sales_agg['total_price']/sales_agg['no_sales']\n",
"# sales_agg.tail()"
]
},
{
"cell_type": "markdown",
"id": "ce760372-d526-4ae5-9be7-e741203a8b05",
"metadata": {},
"source": [
"d) Providing some indication of new sellers joining olist"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "e3f6326e-6ca5-4035-b1b1-dd62ed4442a7",
"metadata": {},
"outputs": [],
"source": [
"sales_agg['new_seller_pc'] = new_sellers['no_new_sellers']/sales_agg['no_unique_sellers']"
]
},
{
"cell_type": "markdown",
"id": "f4909c9f-5123-49b4-9a23-c0eb2aa4b41f",
"metadata": {},
"source": [
"e) Lets now plot these aggregate data to consider seller and time properties of the dataset"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "ce2b62d6-6b07-4fd0-8723-16f2fd35e44e",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1296x576 with 6 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"#From the graphs - seems that the most recent month in incomplete and skews data so drop it\n",
"new_sellers = new_sellers[:-1]\n",
"sales_agg = sales_agg[:-1]\n",
"\n",
"\n",
"plt.style.use('ggplot')\n",
"f, ax = plt.subplots(2, 3, figsize=(18,8))\n",
"\n",
"plot = sales_agg.plot(title=\"a) No of sellers \\n(with sale in month)\", x='order_purchase_timestamp', \n",
" y='no_unique_sellers', ax=ax[0,0], legend=False)\n",
"plot.set_xlabel(\"Month\")\n",
"plot.set_ylabel(\"No sellers\")\n",
"\n",
"plot = new_sellers.plot(title=\"b) New sellers per month\", x='first_sale_date', y='no_new_sellers', ax=ax[0,1], legend=False)\n",
"plot.set_xlabel(\"Month\")\n",
"plot.set_ylabel(\"No sellers\")\n",
"\n",
"plot = sales_agg.plot(title=\"c) % of sellers who are new\", x='order_purchase_timestamp', \n",
" y='new_seller_pc', ax=ax[0,2], legend=False)\n",
"plot.set_xlabel(\"Month\")\n",
"plot.set_ylabel(\"No sales\")\n",
"\n",
"plot = sales_agg.plot(title=\"d) Monthly sales\", x='order_purchase_timestamp', \n",
" y='no_sales', ax=ax[1,0], legend=False)\n",
"plot.set_xlabel(\"Month\")\n",
"plot.set_ylabel(\"No sales\")\n",
"\n",
"plot = sales_agg.plot(title=\"e) Total monthly sales value\", x='order_purchase_timestamp', \n",
" y='total_price', ax=ax[1,1], legend=False)\n",
"plot.set_xlabel(\"Month\")\n",
"plot.set_ylabel(\"Sales value (BRL)\")\n",
"\n",
"\n",
"plot = sales_agg.plot(title=\"f) Av monthly sales per seller\", x='order_purchase_timestamp', \n",
" y='no_sales_by_unique_seller', ax=ax[1,2], legend=False)\n",
"plot.set_xlabel(\"Month\")\n",
"plot.set_ylabel(\"No sales\")\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "ff570799-919c-4d6c-9a6b-20fbded7fb61",
"metadata": {},
"source": [
"These graphs then provides some further overview information about the dataset \n",
"- Fig (a) - Overall there is a growth in sellers on the platform over time. \n",
"- Fig (c) - New sellers join at a constant rate (10-20% of all sellers each month).\n",
"- Fig (d-e) - Growth of sales but seems to flatten out in later period\n",
"- Fig (f) - Monthly number of sales in the data set flattens around 2018 as growth becomes steady. The average number of sales per seller is around 6-8\n",
"\n",
"Suggestion that recent firms joining are more small scale, while earlier firms provide the bulk of sales "
]
},
{
"cell_type": "markdown",
"id": "84a61185-589b-4749-95df-dd7b698a7950",
"metadata": {},
"source": [
"## 6) Zooming in on firm over time\n",
"\n",
"As the power law graphs and Fig(f) above shows, the patterns of sellers seems interesting. \n",
"\n",
"Below we dig into this by categorising firms by their number of sales and then examining this"
]
},
{
"cell_type": "markdown",
"id": "17b4902b-d15a-403c-8450-f71355ab8bba",
"metadata": {
"tags": []
},
"source": [
"a) Split into timeslots\n",
"\n",
"Use a larger timeslot (3 months) to allow us to examine quarterly trends around different categories. This provides a better aggregate and reduce some random flucuations from monthly dtaa"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "1331894b-496e-42fb-abdc-6bd1d798f887",
"metadata": {},
"outputs": [],
"source": [
"#Using grouper to group by seller_id over a time period\n",
"sixm_sales_by_sellers = combined_data.groupby([pd.Grouper(key='order_purchase_timestamp', freq=\"3MS\"), 'seller_id']).agg(\n",
" {'order_id':'count'}).reset_index()\n",
"sixm_sales_by_sellers.rename(columns = {'order_id':'no_orders'}, inplace=True)\n",
"\n",
"#Now group again but over the number of orders\n",
"sixm_sales_by_sellers_orders = sixm_sales_by_sellers.groupby(['order_purchase_timestamp', 'no_orders']).agg(\n",
" {'seller_id':'count'}).reset_index()\n",
"sixm_sales_by_sellers_orders.rename(columns = {'seller_id':'firms_w_orders'}, inplace=True)\n",
"sixm_sales_by_sellers_orders['total_orders'] = sixm_sales_by_sellers_orders['firms_w_orders']*sixm_sales_by_sellers_orders['no_orders']"
]
},
{
"cell_type": "markdown",
"id": "13c290b3-d6d4-4580-95c3-b3b129c7d9bd",
"metadata": {},
"source": [
"b) Using categorised data \n",
"\n",
"By categorising data (i.e categories based on #orders per 3 month period ) allows for a better comparison"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "b7afa16f-7c93-43a3-afc4-929bf653118e",
"metadata": {},
"outputs": [],
"source": [
"cut_points = [0, 1, 2, 5, 10, 100, 1000]\n",
"labels = [\"1\", \"2\", \"3-5\", \"6-10\", \"11-100\", \">100\"]\n",
"\n",
"#Putting into bins\n",
"sixm_sales_by_sellers_orders['no_orders_cat'] = pd.cut(sixm_sales_by_sellers_orders['no_orders'], \n",
" bins=cut_points, labels=labels, include_lowest=True)\n",
"\n",
"#Now group by the bins\n",
"sixm_sales_by_sellers_orders_bins = sixm_sales_by_sellers_orders.groupby(['order_purchase_timestamp', 'no_orders_cat']).agg(\n",
" {'total_orders':'sum', 'firms_w_orders':'sum'}).reset_index()\n",
"#sixm_sales_by_sellers_orders_bins['pc_total_orders'] = sixm_sales_by_sellers_orders_bins['pc_total_orders']"
]
},
{
"cell_type": "markdown",
"id": "b79e968e-2644-4796-8971-269bb123a59f",
"metadata": {},
"source": [
"c) Calculate some percentages for more meaningful data"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "16d8bd30-014f-4752-a4c1-7214b27888fa",
"metadata": {},
"outputs": [],
"source": [
"#Graph for percentage as well for more readable graph\n",
"sixm_sales_by_sellers_orders_bins_tot = sixm_sales_by_sellers_orders_bins.groupby(['order_purchase_timestamp']).agg({'total_orders':'sum'}).reset_index()\n",
"sixm_sales_by_sellers_orders_bins_tot.rename(columns = {'total_orders':'time_total_orders'}, inplace=True)\n",
"\n",
"#Add as column in the original df\n",
"sixm_sales_by_sellers_orders_bins = pd.merge(sixm_sales_by_sellers_orders_bins, sixm_sales_by_sellers_orders_bins_tot, on='order_purchase_timestamp')\n",
"sixm_sales_by_sellers_orders_bins['total_orders_pc'] = sixm_sales_by_sellers_orders_bins['total_orders']/sixm_sales_by_sellers_orders_bins['time_total_orders']\n",
"#sixm_sales_by_sellers_orders_bins.tail()"
]
},
{
"cell_type": "code",
"execution_count": 24,
"id": "8d224323-0e35-46b3-a843-e173b4064757",
"metadata": {},
"outputs": [],
"source": [
"#From the graphs - seems that the most recent month in incomplete and skews data so drop it\n",
"sixm_sales_by_sellers_orders_bins = sixm_sales_by_sellers_orders_bins[sixm_sales_by_sellers_orders_bins['order_purchase_timestamp'] != '2018-09-01' ]"
]
},
{
"cell_type": "markdown",
"id": "7006590b-ec17-456b-b081-8171769fdfa5",
"metadata": {},
"source": [
"d) Graphing"
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "f2166acf-ec79-44a0-8b39-e8e817b33fd9",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1008x864 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.dates as mdates\n",
"\n",
"plt.style.use('ggplot')\n",
"f, ax = plt.subplots(2, 1, figsize=(14,12))\n",
"# plt.xticks(size = 12)\n",
"# plt.yticks(size = 12)\n",
"\n",
"tp = sixm_sales_by_sellers_orders_bins[['order_purchase_timestamp', 'no_orders_cat', 'total_orders']]\n",
"tp2 = tp.groupby([tp['order_purchase_timestamp'].dt.to_period(\"M\"),'no_orders_cat']).sum().unstack() #Make a pivot like obj\n",
"#tp2.set_index('order_purchase_timestamp', inplace=True)\n",
"plot = tp2.plot(title='Number of sales per firm over a 3 month period', kind='bar', ax=ax[0], width=0.8)\n",
"ax[0].legend([\"Single sale in month\", \"2 sales\", \"3-5 sales\", \"6-10 sales\", \"11-100 sales\", \">100 sales\"], prop={'size': 12})\n",
"ax[0].tick_params(labelsize=12)\n",
"\n",
"\n",
"plot.set_xlabel(\"3 month period\")\n",
"plot.set_ylabel(\"Total sales in category\")\n",
"\n",
"tp = sixm_sales_by_sellers_orders_bins[['order_purchase_timestamp', 'no_orders_cat', 'total_orders_pc']]\n",
"tp2 = tp.groupby([tp['order_purchase_timestamp'].dt.to_period(\"M\"),'no_orders_cat']).sum().unstack() #Make a pivot like obj\n",
"plot = tp2.plot(title='Number of sales per firm over a 3 month period (% of firms)', kind='bar', ax=ax[1], stacked=True, legend=False)\n",
"\n",
"\n",
"plot.set_xlabel(\"3 month period\")\n",
"plot.set_ylabel(\"% sales in category\")\n",
"plot.tick_params(labelsize=12)\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "43f67304-cd14-4cb5-8989-eec0bbb3cda1",
"metadata": {},
"source": [
"This graph extends the discussion of the power laws of section 4, but shows that the splots are variable in time. During the earlier periods sellers tended to be more diverse with sales spread across different types of firm. Over time, however, it appears that sales become more dominated by a limited number of (more established) large firms. \n",
"\n",
"For example, in the most recent period in 2018:\n",
"* Firms with 1-5 orders made up around 10% of all sales which was around 5000 firms. \n",
"* Firms with >11 orders made up 75% of all sales which was around 450 firms"
]
},
{
"cell_type": "markdown",
"id": "418bbfb5-8b65-4405-87bb-5997336887d4",
"metadata": {},
"source": [
"## 7) Analysis of the different categories of firms"
]
},
{
"cell_type": "markdown",
"id": "83f08505-2b49-4d09-9d22-053a813b1cdd",
"metadata": {},
"source": [
"It is difficult to define categories of firms given the limitations of the dataset, but we might use some crude proxies to examine the behavious of different sized firms (based on he total number of sales over the full period). \n",
"\n",
"This may misclassify on some sucessful firms that simply joined later or small firms who have been around for a while, but it can serve as a reasonable first attempt at a proxy"
]
},
{
"cell_type": "markdown",
"id": "33e49940-21a5-4777-9614-b794f7cad780",
"metadata": {},
"source": [
"a) Categorising firms by total sales"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "2d21c7ef-fc0e-48b0-b9d6-8698aaf6538d",
"metadata": {},
"outputs": [],
"source": [
"cut_points = [0, 100, 500, 10000]\n",
"labels = [\"Small\", \"Medium\", \"Large\"]\n",
"\n",
"#Putting into bins\n",
"seller_agg['no_sales_cat'] = pd.cut(seller_agg['no_sales'], bins=cut_points, labels=labels, include_lowest=True) \n",
"seller_agg['total_sales'] = seller_agg['no_sales'] * seller_agg['no_firms']\n",
"\n",
"seller_agg_cat = seller_agg.groupby(['no_sales_cat'], as_index=False).agg({'no_firms':'sum',\n",
" 'total_sales':'sum'}) #Number of firms with x sales\n",
"all_sales = seller_agg_cat['total_sales'].sum()\n",
"seller_agg_cat['sales_pc'] = seller_agg_cat['total_sales']/all_sales"
]
},
{
"cell_type": "markdown",
"id": "c9b11286-85f1-41f2-bd88-57678c94d4a5",
"metadata": {},
"source": [
"b) Plotting basic setup"
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "d796249d-62d3-47cd-af48-edc21defc874",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<Figure size 1080x360 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use('ggplot')\n",
"f, ax = plt.subplots(1, 3, figsize=(15,5))\n",
"color=['red', 'green', 'blue', 'cyan']\n",
"\n",
"ax[0].set_title(\"No firms in each category\")\n",
"seller_agg_cat.plot(kind='bar',x='no_sales_cat',y='no_firms', ax=ax[0], legend=False, color=color)\n",
"ax[1].set_title(\"No sales in each category\")\n",
"seller_agg_cat.plot(kind='bar',x='no_sales_cat',y='total_sales', ax=ax[1], legend=False, color=color )\n",
"ax[2].set_title(\"% in each category\")\n",
"seller_agg_cat.plot(kind='bar',x='no_sales_cat',y='sales_pc', ax=ax[2], legend=False, color=color )\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "5f5d27f0-26ee-4065-b827-9a4cb07b6c27",
"metadata": {},
"source": [
"c) Add this data of seller category to the full \"combined_data\" dataframe. This then allows some more details analysis of sales in these categories"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "c90d694a-3a20-4252-8fcb-d0377a7bf6c7",
"metadata": {},
"outputs": [],
"source": [
"labels = [\"Small\", \"Medium\", \"Large\"]\n",
"\n",
"seller_counts['seller_cat'] = pd.cut(seller_counts['no_sales'], bins=cut_points, labels=labels, include_lowest=True)\n",
"\n",
"combined_data = pd.merge(combined_data, seller_counts, on='seller_id')"
]
},
{
"cell_type": "markdown",
"id": "bbebe119-e399-4281-94be-0a0882d5b3a7",
"metadata": {},
"source": [
"d) Some interesting calculations beased on categories. Unique customers, in-state vs out-of-state, average cost, freight price"
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "a767671f-7055-4aef-a455-5d64c351fb86",
"metadata": {},
"outputs": [],
"source": [
"combined_data['in_state'] = (combined_data['seller_state'] == combined_data['customer_state'])"
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "802f8fa5-f673-4ecd-9350-7ce7f7b14a8f",
"metadata": {},
"outputs": [],
"source": [
"seller_agg_cat_bysale = combined_data.groupby(['seller_cat'], as_index=False).agg({'in_state':'sum',\n",
" 'order_id':'count',\n",
" 'price':'mean',\n",
" 'freight_value':'mean',\n",
" 'customer_unique_id':'nunique'})\n",
"seller_agg_cat_bysale = seller_agg_cat_bysale.rename(columns={\"order_id\": \"no_sales\", \"in_state\": \"in_state_sales\", \"price\": \"av_price\", \"freight_value\":\"av_freight_price\", \"customer_unique_id\":\"unique_customers\" })\n",
"seller_agg_cat_bysale['unique_customers_pc'] = (seller_agg_cat_bysale['unique_customers'] * 100)/seller_agg_cat_bysale['no_sales']\n",
"seller_agg_cat_bysale['in_state_sales_pc'] = (seller_agg_cat_bysale['in_state_sales'] * 100)/seller_agg_cat_bysale['no_sales']"
]
},
{
"cell_type": "markdown",
"id": "b97167e6-c35e-4396-a51f-b928316248e3",
"metadata": {},
"source": [
"e) Graphing this data"
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "8a9283c2-bfb4-4c88-8b52-47cc38937089",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1080x360 with 4 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"f, ax = plt.subplots(1, 4, figsize=(15,5))\n",
"\n",
"ax[0].set_title(\"a) Unique customers as % of all sales\")\n",
"seller_agg_cat_bysale.plot(kind='bar',x='seller_cat',y='unique_customers_pc', ax=ax[0], legend=False, color=color )\n",
"ax[1].set_title(\"b) % in-state sales\")\n",
"seller_agg_cat_bysale.plot(kind='bar',x='seller_cat',y='in_state_sales_pc', ax=ax[1], legend=False, color=color )\n",
"ax[2].set_title(\"c) Average price of a sale\")\n",
"seller_agg_cat_bysale.plot(kind='bar',x='seller_cat',y='av_price', ax=ax[2], legend=False, color=color )\n",
"ax[3].set_title(\"d) Average frieght price\")\n",
"seller_agg_cat_bysale.plot(kind='bar',x='seller_cat',y='av_freight_price', ax=ax[3], legend=False, color=color )\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "a1c7b420-ea29-4643-850d-f22442981f0e",
"metadata": {},
"source": [
"Comment on this data\n",
"- Fig (a) - The profile of customers in terms of loyalty seems to be relatively similar across firm size. All have roughly the same % of unique customers to sales. This suggests that the levels of loyalty across different firm categories is not the crucial cause of difference in sales\n",
"- Fig (b) - There is realtively small differences in terms of long vs short distance sales (using in-state vs out-state as a proxy). There appears to be some slight different where large firms sell in-state that might need firther investigation\n",
"- Fig (c) - There is a cleaer difference in prices, that suggest that large firms are taking advantage of economies of scale or focus on specific categories of goods in e-commerce\n",
"- Fig (d) - Economes of scale in terms of delivery coss appear to impact small firms negatively over other firms"
]
},
{
"cell_type": "markdown",
"id": "ee0ce7ae-51cf-4b87-b121-29c037641193",
"metadata": {},
"source": [
"## 8) Product areas and firm categories"
]
},
{
"cell_type": "markdown",
"id": "b7922d04-bf6e-459b-bf93-8bd19788c8ce",
"metadata": {},
"source": [
"An addition to the above figures would be to dig into whether these difference size firms focus on different categories as a key source of difference"
]
},
{
"cell_type": "markdown",
"id": "039ac9df-d6a5-43fe-a809-ff263568586c",
"metadata": {},
"source": [
"a) Aggregate dataset by category of product"
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "aa2c27ef-c963-4c41-aeaa-ec2a7f1b6373",
"metadata": {},
"outputs": [],
"source": [
"agg_bycatproduct = combined_data.groupby(['product_category_name','seller_cat']).agg({'order_id':'count', 'product_category_name_english':'first'}).reset_index()\n",
"agg_bycat = combined_data.groupby(['product_category_name'], as_index=False).agg({'order_id':'count', 'product_category_name_english':'first'}).reset_index()\n",
"agg_bycat['seller_cat'] = 'All'\n",
"agg_byprodcat_all = agg_bycatproduct.append(agg_bycat, ignore_index=True, sort=False)"
]
},
{
"cell_type": "markdown",
"id": "104218c2-f5ff-4435-848b-b0c127e39764",
"metadata": {},
"source": [
"b) Do some calculations about percentages of different firms sizes over these sales categories"
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "44933fa9-dc03-43d4-9ccc-024bc58aeb90",
"metadata": {},
"outputs": [],
"source": [
"agg_bycatproduct = combined_data.groupby(['product_category_name','seller_cat']).agg({'order_id':'count', 'product_category_name_english':'first'}).reset_index()\n",
"agg_bycatproduct.rename(columns = {'order_id':'orders'}, inplace=True)\n",
"agg_byproduct = agg_bycatproduct.groupby(['product_category_name'], as_index=False).agg({'orders':'sum'}).reset_index()\n",
"agg_byproduct.rename(columns = {'orders':'total_cat_orders'}, inplace=True)\n",
"\n",
"agg_bycatproduct = pd.merge(agg_bycatproduct, agg_byproduct, on='product_category_name')\n",
"agg_bycatproduct['total_orders_pc'] = agg_bycatproduct['orders']/agg_bycatproduct['total_cat_orders']"
]
},
{
"cell_type": "markdown",
"id": "e91fc67a-49b3-4212-abfd-bf407129659a",
"metadata": {},
"source": [
"c) Graph these relationships"
]
},
{
"cell_type": "code",
"execution_count": 43,
"id": "fa86568b-4ed4-4faf-8f96-60014a014cc2",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1008x504 with 2 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use('ggplot')\n",
"\n",
"f, ax = plt.subplots(1, 2, figsize=(14, 7))\n",
"\n",
"tmp = agg_bycatproduct.groupby(['product_category_name_english','seller_cat']).sum().unstack() #Make a pivot like obj\n",
"tmp = tmp.sort_values([('total_cat_orders', 'Small')], ascending=True)\n",
"\n",
"#Show top 10 only - Stacked by firm size\n",
"plot = tmp.orders[-15:].plot(title='All sales by category', kind='barh',stacked=True, ax=ax[0])\n",
"plot.set(xlabel=\"Sales\", ylabel=\"\")\n",
"\n",
"plot = tmp.total_orders_pc[-15:].plot(title='Sales by category (%)', kind='barh',stacked=True, ax=ax[1], legend=False)\n",
"plot.xaxis.tick_top()\n",
"plot.set(xlabel=\"\", ylabel=\"\")\n",
"\n",
"#Shows nice line for average of categories\n",
"cumulative = 0\n",
"for i, cat in seller_agg_cat.iterrows():\n",
" cumulative = cumulative + (cat['sales_pc'])\n",
" if(i != seller_agg_cat.shape[0]-1): #Don't put a line on 00%\n",
" plot.axvline(cumulative, lw=1, color='black', ls='--')\n",
" text = \"Av sales {}\\n ({}%)\".format(cat[\"no_sales_cat\"], int(cat['sales_pc']*100))\n",
" plt.text(cumulative-(cat['sales_pc']/2), plot.get_ylim()[0], text , va='top', ha='center', rotation=0, fontsize=10)\n",
" \n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "8ceefbdb-d7b6-44d6-94af-02f2f7eef308",
"metadata": {},
"source": [
"The first graph shows the largest product categories in terms of sales in the dataset\n",
"\n",
"The second graph dig into the specific types of firms as % of sales in that product category. The dotted line shows the expected spread over the total dataset between small/medium/large firms. We can therefore see in which categories different category firms are overperforming/underperforming the average.\n",
"\n",
"We can see that small firms are less prominant in some high value areas such as \"bed_bath_table\", \"watches\", \"telephony\", \"electronics\". This would suggest that the previous splits in terms of average price may be more related to categories than economies of scale. Small firms are more dominant in smaller lower value goods such as health and beauty and sports and leisure"
]
},
{
"cell_type": "code",
"execution_count": 44,
"id": "7635ee4f-943c-4739-813d-a7ddb1824075",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<Figure size 1440x504 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.style.use('ggplot')\n",
"\n",
"f, ax = plt.subplots(1, 3, figsize=(20,7))\n",
"\n",
"f.suptitle(\"Biggest categories by firm size\", fontsize=18)\n",
"\n",
"tmp = tmp.sort_values([('orders', 'Small')], ascending=True)\n",
"plot = tmp[-15:].orders.Small.plot(title='....For Small firms', kind=\"barh\", legend=False, ax=ax[0])\n",
"plot.set(xlabel=\"Sales\", ylabel=\"\")\n",
"\n",
"tmp = tmp.sort_values([('orders', 'Medium')], ascending=True)\n",
"plot = tmp[-15:].orders.Medium.plot(title='....For Medium firms', kind=\"barh\", legend=False, ax=ax[1])\n",
"plot.set(xlabel=\"Sales\", ylabel=\"\")\n",
"\n",
"tmp = tmp.sort_values([('orders', 'Large')], ascending=True)\n",
"plot = tmp[-15:].orders.Large.plot(title='....For Large firms', kind=\"barh\", legend=False, ax=ax[2], xlabel=\"\")\n",
"plot.set(xlabel=\"Sales\", ylabel=\"\")\n",
"\n",
"plt.tight_layout()\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"id": "7f355d98-af22-4bd6-bb7a-da368a78e588",
"metadata": {},
"source": [
"The above arguement is shown in terms ofthe largest category of sales of different types of firm"
]
},
{
"cell_type": "markdown",
"id": "57bf584b-75a9-4fbc-9f0d-231787e87220",
"metadata": {},
"source": [
"## 9) Discussion"
]
},
{
"cell_type": "markdown",
"id": "2abeef6b-09bf-43cc-9f8c-418a2c7f1270",
"metadata": {},
"source": [
"Overall, while the dataset has some limitations it confirms some of the key notions linked to e-commerce particularly linked to power laws. While there are some richness of firms during earlier this quite quickly becomes skewed between a few \"superstar\" firms and a large number of small sellers. \n",
"\n",
"For smaller volume sellers there is likely only limited gains from the use of e-commerce. It provides some sales, but clearly not to an extend level where this would be the major mode of sales. There are then only limited firms who are truly sucessful in terms of expanding use of e-commerce to a major scale. \n",
"\n",
"The reasons for this according to this data may be releated to the categories of selling rather than scale, where large firms focus on higher value"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "a7d2faf0-b8a2-491b-a36f-a93180c1fbd1",
"metadata": {},
"outputs": [],
"source": []
}
],
"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": "3.7.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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