![\"Open](\"https://colab.research.google.com/assets/colab-badge.svg\"){kind=icon}
![](\"https://user-images.githubusercontent.com/7065401/58504872-fa243b00-8161-11e9-85ed-4b7d8d7ce9f7.png\")
"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "## Hands on! "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "import pandas as pd\n",
- "import matplotlib.pyplot as plt\n",
- "import sqlite3\n",
- "\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "conn = sqlite3.connect('data/sakila.db')\n",
- "\n",
- "df = pd.read_sql('''\n",
- " SELECT\n",
- " rental.rental_id, rental.rental_date, rental.return_date,\n",
- " customer.last_name AS customer_lastname,\n",
- " store.store_id,\n",
- " city.city AS rental_store_city,\n",
- " film.title AS film_title, film.rental_duration AS film_rental_duration,\n",
- " film.rental_rate AS film_rental_rate, film.replacement_cost AS film_replacement_cost,\n",
- " film.rating AS film_rating\n",
- " FROM rental\n",
- " INNER JOIN customer ON rental.customer_id == customer.customer_id\n",
- " INNER JOIN inventory ON rental.inventory_id == inventory.inventory_id\n",
- " INNER JOIN store ON inventory.store_id == store.store_id\n",
- " INNER JOIN address ON store.address_id == address.address_id\n",
- " INNER JOIN city ON address.city_id == city.city_id\n",
- " INNER JOIN film ON inventory.film_id == film.film_id\n",
- " ;\n",
- "''', conn, index_col='rental_id', parse_dates=['rental_date', 'return_date'])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "df.head()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### What's the mean of `film_rental_duration`?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df['film_rental_duration'].mean()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### What's the most common rental duration?\n",
- "\n",
- "Show a bar plot with all the durations."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df['film_rental_duration'].value_counts().plot(kind='bar', figsize=(14,6))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### What is the most common rental rate?\n",
- "\n",
- "- Show a pie plot with all possible rental rates.\n",
- "- Show a bar plot with all possible rental rates.\n",
- "- Which plot you think fits the best in this case? Why?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df['film_rental_rate'].value_counts().plot(kind='pie', figsize=(6,6))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df['film_rental_rate'].value_counts().plot(kind='bar', figsize=(14,6))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### How is the replacement cost distributed?\n",
- "\n",
- "- Show a box plot of the replacement costs.\n",
- "- Show a density plot of the replacement costs.\n",
- "- Add a red line on the mean.\n",
- "- Add a green line on the median median."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df['film_replacement_cost'].plot(kind='box', vert=False, figsize=(14,6))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "ax = df['film_replacement_cost'].plot(kind='density', figsize=(14,6))\n",
- "ax.axvline(df['film_replacement_cost'].mean(), color='red')\n",
- "ax.axvline(df['film_replacement_cost'].median(), color='green')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### How many films of each rating do we have?\n",
- "\n",
- "- Show the raw count of each film rating.\n",
- "- Show a bar plot with all possible film ratings."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df['film_rating'].value_counts()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df['film_rating'].value_counts().plot(kind='bar', figsize=(14,6))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### Does the film replacement cost vary depending on film rating?\n",
- "\n",
- "In the United States, film classification is a voluntary process with the ratings issued by the Motion Picture Association of America (MPAA) via the Classification and Rating Administration (CARA).\n",
- "\n",
- "- G (General Audiences): All Ages are Admitted.\n",
- "- PG (Parental Guidance Suggested): Some Material May Not Be Suitable for Children.\n",
- "- PG-13 (Parents Strongly Cautioned): Some Material May Be Inappropriate for Children Under 13.\n",
- "- R (Restricted): Under 17 Requires Accompanying Parent or Adult Guardian.\n",
- "- NC-17 (Adults Only): No One 17 and Under Admitted.\n",
- "\n",
- "Show a grouped box plot per film rating with the film replacement costs."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df[['film_replacement_cost', 'film_rating']].boxplot(by='film_rating', figsize=(14,6))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### Add and calculate a new `rental_days` column\n",
- "\n",
- "This numeric column should have the count of days between `rental_date` and `return_date`."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df['rental_days'] = df[['rental_date', 'return_date']].apply(lambda x: (x[1] - x[0]).days, axis=1)\n",
- "\n",
- "df['rental_days'].head()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### Analyze the distribution of `rental_days`\n",
- "\n",
- "- Calculate the mean of `rental_days`.\n",
- "- Show a density (KDE) of `rental_days`."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df['rental_days'].mean()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "ax = df['rental_days'].plot(kind='density', figsize=(14,6))\n",
- "ax.axvline(df['rental_days'].mean(), color='red')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### Add and calculate a new `film_daily_rental_rate` column\n",
- "\n",
- "This value should be the division of `film_rental_rate` by `film_rental_duration`."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df['film_daily_rental_rate'] = df['film_rental_rate'] / df['film_rental_duration']\n",
- "\n",
- "df['film_daily_rental_rate'].head()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### Analyze the distribution of `film_daily_rental_rate`\n",
- "\n",
- "- Calculate the mean of `film_daily_rental_rate`.\n",
- "- Show a density (KDE) of `film_daily_rental_rate`."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df['film_daily_rental_rate'].mean()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "ax = df['film_daily_rental_rate'].plot(kind='density', figsize=(14,6))\n",
- "ax.axvline(df['film_daily_rental_rate'].mean(), color='red')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### List 10 films with the lowest daily rental rate"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df.loc[df['film_daily_rental_rate'] == df['film_daily_rental_rate'].min()].head(10)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### List 10 films with the highest daily rental rate"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df.loc[df['film_daily_rental_rate'] == df['film_daily_rental_rate'].max()].head(10)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### How many rentals were made in Lethbridge city?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df.loc[df['rental_store_city'] == 'Lethbridge'].shape[0]"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### How many rentals of each film rating were made in Lethbridge city?\n",
- "\n",
- "Show a bar plot with each film rating count."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df.loc[df['rental_store_city'] == 'Lethbridge', 'film_rating'].value_counts()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df.loc[df['rental_store_city'] == 'Lethbridge', 'film_rating'].value_counts().plot(kind='bar', figsize=(14,6))"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### How many rentals were made in Woodridge city with rental duration higher than 5 days?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df.loc[(df['rental_store_city'] == 'Woodridge') & (df['film_rental_duration'] > 5)].shape[0]"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "### How many rentals were made at the store with id 2 or with replacement cost lower than 10.99 USD?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# your code goes here\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "cell_type": "solution"
- },
- "outputs": [],
- "source": [
- "df.loc[(df['store_id'] == 2) | (df['film_replacement_cost'] < 10.99)].shape[0]"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "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": "3.6.8"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "view-in-github",
+ "colab_type": "text"
+ },
+ "source": [
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "Zcn0QEpUAWNt"
+ },
+ "source": [
+ "\n",
+ ""
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "qHZxfJNmAWN0"
+ },
+ "source": [
+ "\n",
+ "\n",
+ "## Hands on!"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {
+ "id": "aDeZuLu7AWN1"
+ },
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "import sqlite3\n",
+ "\n",
+ "%matplotlib inline"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "metadata": {
+ "id": "DG1jGO4TAWN3"
+ },
+ "outputs": [],
+ "source": [
+ "conn = sqlite3.connect('sakila.db')\n",
+ "\n",
+ "df = pd.read_sql('''\n",
+ " SELECT\n",
+ " rental.rental_id, rental.rental_date, rental.return_date,\n",
+ " customer.last_name AS customer_lastname,\n",
+ " store.store_id,\n",
+ " city.city AS rental_store_city,\n",
+ " film.title AS film_title, film.rental_duration AS film_rental_duration,\n",
+ " film.rental_rate AS film_rental_rate, film.replacement_cost AS film_replacement_cost,\n",
+ " film.rating AS film_rating\n",
+ " FROM rental\n",
+ " INNER JOIN customer ON rental.customer_id == customer.customer_id\n",
+ " INNER JOIN inventory ON rental.inventory_id == inventory.inventory_id\n",
+ " INNER JOIN store ON inventory.store_id == store.store_id\n",
+ " INNER JOIN address ON store.address_id == address.address_id\n",
+ " INNER JOIN city ON address.city_id == city.city_id\n",
+ " INNER JOIN film ON inventory.film_id == film.film_id\n",
+ " ;\n",
+ "''', conn, index_col='rental_id', parse_dates=['rental_date', 'return_date'])"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/",
+ "height": 344
+ },
+ "id": "e3ZFELmNAWN3",
+ "outputId": "63d31fbf-8fd6-414a-c3e6-005fc173662b"
+ },
+ "outputs": [
+ {
+ "output_type": "execute_result",
+ "data": {
+ "text/plain": [
+ " rental_date return_date customer_lastname store_id \\\n",
+ "rental_id \n",
+ "16045 2005-08-23 22:25:26 2005-08-25 23:54:26 WHITE 1 \n",
+ "16046 2005-08-23 22:26:47 2005-08-27 18:02:47 KELLY 2 \n",
+ "16047 2005-08-23 22:42:48 2005-08-25 02:48:48 ELLIS 2 \n",
+ "16048 2005-08-23 22:43:07 2005-08-31 21:33:07 HAMILTON 1 \n",
+ "16049 2005-08-23 22:50:12 2005-08-30 01:01:12 CAUSEY 2 \n",
+ "\n",
+ " rental_store_city film_title film_rental_duration \\\n",
+ "rental_id \n",
+ "16045 Lethbridge COMANCHEROS ENEMY 5 \n",
+ "16046 Woodridge VOYAGE LEGALLY 6 \n",
+ "16047 Woodridge ILLUSION AMELIE 4 \n",
+ "16048 Lethbridge HUNCHBACK IMPOSSIBLE 4 \n",
+ "16049 Woodridge MOB DUFFEL 4 \n",
+ "\n",
+ " film_rental_rate film_replacement_cost film_rating \n",
+ "rental_id \n",
+ "16045 0.99 23.99 R \n",
+ "16046 0.99 28.99 PG-13 \n",
+ "16047 0.99 15.99 R \n",
+ "16048 4.99 28.99 PG-13 \n",
+ "16049 0.99 25.99 G "
+ ],
+ "text/html": [
+ "\n",
+ " | \n", + " | rental_date | \n", + "return_date | \n", + "customer_lastname | \n", + "store_id | \n", + "rental_store_city | \n", + "film_title | \n", + "film_rental_duration | \n", + "film_rental_rate | \n", + "film_replacement_cost | \n", + "film_rating | \n", + "
|---|---|---|---|---|---|---|---|---|---|---|
| rental_id | \n", + "\n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " |
| 16045 | \n", + "2005-08-23 22:25:26 | \n", + "2005-08-25 23:54:26 | \n", + "WHITE | \n", + "1 | \n", + "Lethbridge | \n", + "COMANCHEROS ENEMY | \n", + "5 | \n", + "0.99 | \n", + "23.99 | \n", + "R | \n", + "
| 16046 | \n", + "2005-08-23 22:26:47 | \n", + "2005-08-27 18:02:47 | \n", + "KELLY | \n", + "2 | \n", + "Woodridge | \n", + "VOYAGE LEGALLY | \n", + "6 | \n", + "0.99 | \n", + "28.99 | \n", + "PG-13 | \n", + "
| 16047 | \n", + "2005-08-23 22:42:48 | \n", + "2005-08-25 02:48:48 | \n", + "ELLIS | \n", + "2 | \n", + "Woodridge | \n", + "ILLUSION AMELIE | \n", + "4 | \n", + "0.99 | \n", + "15.99 | \n", + "R | \n", + "
| 16048 | \n", + "2005-08-23 22:43:07 | \n", + "2005-08-31 21:33:07 | \n", + "HAMILTON | \n", + "1 | \n", + "Lethbridge | \n", + "HUNCHBACK IMPOSSIBLE | \n", + "4 | \n", + "4.99 | \n", + "28.99 | \n", + "PG-13 | \n", + "
| 16049 | \n", + "2005-08-23 22:50:12 | \n", + "2005-08-30 01:01:12 | \n", + "CAUSEY | \n", + "2 | \n", + "Woodridge | \n", + "MOB DUFFEL | \n", + "4 | \n", + "0.99 | \n", + "25.99 | \n", + "G | \n", + "
| \n", + " | count | \n", + "
|---|---|
| film_rating | \n", + "\n", + " |
| PG-13 | \n", + "3585 | \n", + "
| NC-17 | \n", + "3293 | \n", + "
| PG | \n", + "3212 | \n", + "
| R | \n", + "3181 | \n", + "
| G | \n", + "2773 | \n", + "
| \n", + " | 0 | \n", + "
|---|---|
| 0 | \n", + "39 | \n", + "
| 1 | \n", + "87 | \n", + "
| 2 | \n", + "46 | \n", + "
| 3 | \n", + "88 | \n", + "
| 4 | \n", + "81 | \n", + "
| 5 | \n", + "37 | \n", + "
| 6 | \n", + "25 | \n", + "
| 7 | \n", + "77 | \n", + "
| 8 | \n", + "72 | \n", + "
| 9 | \n", + "9 | \n", + "
![](\"https://user-images.githubusercontent.com/7065401/58563302-42466a80-8201-11e9-9948-b3e9f88a5662.jpg\"\n",)
\n",
- "\n",
- "# Bike store sales\n",
- "\n",
- "In this class we'll be analyzing sales made on bike stores.\n",
- "\n",
- "[Follow this data in a Google Spreadsheet](https://docs.google.com/spreadsheets/d/1NOe_UrPx6ULF2C5MvHmZ9ODuw8t9M77Q1Y64gP-7JHA/edit?usp=sharing)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "## Hands on! "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "import pandas as pd\n",
- "import matplotlib.pyplot as plt\n",
- "\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "## Loading our data:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Date,Day,Month,Year,Customer_Age,Age_Group,Customer_Gender,Country,State,Product_Category,Sub_Category,Product,Order_Quantity,Unit_Cost,Unit_Price,Profit,Cost,Revenue\n",
- "2013-11-26,26,November,2013,19,Youth (<25),M,Canada,British Columbia,Accessories,Bike Racks,Hitch Rack - 4-Bike,8,45,120,590,360,950\n",
- "2015-11-26,26,November,2015,19,Youth (<25),M,Canada,British Columbia,Accessories,Bike Racks,Hitch Rack - 4-Bike,8,45,120,590,360,950\n",
- "2014-03-23,23,March,2014,49,Adults (35-64),M,Australia,New South Wales,Accessories,Bike Racks,Hitch Rack - 4-Bike,23,45,120,1366,1035,2401\n",
- "2016-03-23,23,March,2016,49,Adults (35-64),M,Australia,New South Wales,Accessories,Bike Racks,Hitch Rack - 4-Bike,20,45,120,1188,900,2088\n",
- "2014-05-15,15,May,2014,47,Adults (35-64),F,Australia,New South Wales,Accessories,Bike Racks,Hitch Rack - 4-Bike,4,45,120,238,180,418\n",
- "2016-05-15,15,May,2016,47,Adults (35-64),F,Australia,New South Wales,Accessories,Bike Racks,Hitch Rack - 4-Bike,5,45,120,297,225,522\n",
- "2014-05-22,22,May,2014,47,Adults (35-64),F,Australia,Victoria,Accessories,Bike Racks,Hitch Rack - 4-Bike,4,45,120,199,180,379\n",
- "2016-05-22,22,May,2016,47,Adults (35-64),F,Australia,Victoria,Accessories,Bike Racks,Hitch Rack - 4-Bike,2,45,120,100,90,190\n",
- "2014-02-22,22,February,2014,35,Adults (35-64),M,Australia,Victoria,Accessories,Bike Racks,Hitch Rack - 4-Bike,22,45,120,1096,990,2086\n"
- ]
- }
- ],
- "source": [
- "!head data/sales_data.csv"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [],
- "source": [
- "sales = pd.read_csv(\n",
- " 'data/sales_data.csv',\n",
- " parse_dates=['Date'])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "\n",
- "\n",
- "## The data at a glance:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "| \n", - " | Date | \n", - "Day | \n", - "Month | \n", - "Year | \n", - "Customer_Age | \n", - "Age_Group | \n", - "Customer_Gender | \n", - "Country | \n", - "State | \n", - "Product_Category | \n", - "Sub_Category | \n", - "Product | \n", - "Order_Quantity | \n", - "Unit_Cost | \n", - "Unit_Price | \n", - "Profit | \n", - "Cost | \n", - "Revenue | \n", - "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", - "2013-11-26 | \n", - "26 | \n", - "November | \n", - "2013 | \n", - "19 | \n", - "Youth (<25) | \n", - "M | \n", - "Canada | \n", - "British Columbia | \n", - "Accessories | \n", - "Bike Racks | \n", - "Hitch Rack - 4-Bike | \n", - "8 | \n", - "45 | \n", - "120 | \n", - "590 | \n", - "360 | \n", - "950 | \n", - "
| 1 | \n", - "2015-11-26 | \n", - "26 | \n", - "November | \n", - "2015 | \n", - "19 | \n", - "Youth (<25) | \n", - "M | \n", - "Canada | \n", - "British Columbia | \n", - "Accessories | \n", - "Bike Racks | \n", - "Hitch Rack - 4-Bike | \n", - "8 | \n", - "45 | \n", - "120 | \n", - "590 | \n", - "360 | \n", - "950 | \n", - "
| 2 | \n", - "2014-03-23 | \n", - "23 | \n", - "March | \n", - "2014 | \n", - "49 | \n", - "Adults (35-64) | \n", - "M | \n", - "Australia | \n", - "New South Wales | \n", - "Accessories | \n", - "Bike Racks | \n", - "Hitch Rack - 4-Bike | \n", - "23 | \n", - "45 | \n", - "120 | \n", - "1366 | \n", - "1035 | \n", - "2401 | \n", - "
| 3 | \n", - "2016-03-23 | \n", - "23 | \n", - "March | \n", - "2016 | \n", - "49 | \n", - "Adults (35-64) | \n", - "M | \n", - "Australia | \n", - "New South Wales | \n", - "Accessories | \n", - "Bike Racks | \n", - "Hitch Rack - 4-Bike | \n", - "20 | \n", - "45 | \n", - "120 | \n", - "1188 | \n", - "900 | \n", - "2088 | \n", - "
| 4 | \n", - "2014-05-15 | \n", - "15 | \n", - "May | \n", - "2014 | \n", - "47 | \n", - "Adults (35-64) | \n", - "F | \n", - "Australia | \n", - "New South Wales | \n", - "Accessories | \n", - "Bike Racks | \n", - "Hitch Rack - 4-Bike | \n", - "4 | \n", - "45 | \n", - "120 | \n", - "238 | \n", - "180 | \n", - "418 | \n", - "
"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "yPahq8hxqTyx"
+ },
+ "source": [
+ "\n",
+ "\n",
+ "\n",
+ "# Bike store sales\n",
+ "\n",
+ "In this class we'll be analyzing sales made on bike stores.\n",
+ "\n",
+ "[Follow this data in a Google Spreadsheet](https://docs.google.com/spreadsheets/d/1NOe_UrPx6ULF2C5MvHmZ9ODuw8t9M77Q1Y64gP-7JHA/edit?usp=sharing)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "vNAsv2iVqTyz"
+ },
+ "source": [
+ "\n",
+ "\n",
+ "## Hands on!"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 3,
+ "metadata": {
+ "id": "egAAzh4YqTy0"
+ },
+ "outputs": [],
+ "source": [
+ "import numpy as np\n",
+ "import pandas as pd\n",
+ "import matplotlib.pyplot as plt\n",
+ "\n",
+ "%matplotlib inline"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {
+ "id": "IqqS6kMJqTy1"
+ },
+ "source": [
+ "\n",
+ "\n",
+ "## Loading our data:"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 4,
+ "metadata": {
+ "id": "7jsyBuToqTy2",
+ "outputId": "dec1baac-867d-49dd-ace6-34a672a0cf30",
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ }
+ },
+ "outputs": [
+ {
+ "output_type": "stream",
+ "name": "stdout",
+ "text": [
+ "Date,Day,Month,Year,Customer_Age,Age_Group,Customer_Gender,Country,State,Product_Category,Sub_Category,Product,Order_Quantity,Unit_Cost,Unit_Price,Profit,Cost,Revenue\n",
+ "2013-11-26,26,November,2013,19,Youth (<25),M,Canada,British Columbia,Accessories,Bike Racks,Hitch Rack - 4-Bike,8,45,120,590,360,950\n",
+ "2015-11-26,26,November,2015,19,Youth (<25),M,Canada,British Columbia,Accessories,Bike Racks,Hitch Rack - 4-Bike,8,45,120,590,360,950\n",
+ "2014-03-23,23,March,2014,49,Adults (35-64),M,Australia,New South Wales,Accessories,Bike Racks,Hitch Rack - 4-Bike,23,45,120,1366,1035,2401\n",
+ "2016-03-23,23,March,2016,49,Adults (35-64),M,Australia,New South Wales,Accessories,Bike Racks,Hitch Rack - 4-Bike,20,45,120,1188,900,2088\n",
+ "2014-05-15,15,May,2014,47,Adults (35-64),F,Australia,New South Wales,Accessories,Bike Racks,Hitch Rack - 4-Bike,4,45,120,238,180,418\n",
+ "2016-05-15,15,May,2016,47,Adults (35-64),F,Australia,New South Wales,Accessories,Bike Racks,Hitch Rack - 4-Bike,5,45,120,297,225,522\n",
+ "2014-05-22,22,May,2014,47,Adults (35-64),F,Australia,Victoria,Accessories,Bike Racks,Hitch Rack - 4-Bike,4,45,120,199,180,379\n",
+ "2016-05-22,22,May,2016,47,Adults (35-64),F,Australia,Victoria,Accessories,Bike Racks,Hitch Rack - 4-Bike,2,45,120,100,90,190\n",
+ "2014-02-22,22,February,2014,35,Adults (35-64),M,Australia,Victoria,Accessories,Bike Racks,Hitch Rack - 4-Bike,22,45,120,1096,990,2086\n"
+ ]
+ }
],
- "text/plain": [
- " Date Day Month Year Customer_Age Age_Group \\\n",
- "0 2013-11-26 26 November 2013 19 Youth (<25) \n",
- "1 2015-11-26 26 November 2015 19 Youth (<25) \n",
- "2 2014-03-23 23 March 2014 49 Adults (35-64) \n",
- "3 2016-03-23 23 March 2016 49 Adults (35-64) \n",
- "4 2014-05-15 15 May 2014 47 Adults (35-64) \n",
- "\n",
- " Customer_Gender Country State Product_Category Sub_Category \\\n",
- "0 M Canada British Columbia Accessories Bike Racks \n",
- "1 M Canada British Columbia Accessories Bike Racks \n",
- "2 M Australia New South Wales Accessories Bike Racks \n",
- "3 M Australia New South Wales Accessories Bike Racks \n",
- "4 F Australia New South Wales Accessories Bike Racks \n",
- "\n",
- " Product Order_Quantity Unit_Cost Unit_Price Profit Cost \\\n",
- "0 Hitch Rack - 4-Bike 8 45 120 590 360 \n",
- "1 Hitch Rack - 4-Bike 8 45 120 590 360 \n",
- "2 Hitch Rack - 4-Bike 23 45 120 1366 1035 \n",
- "3 Hitch Rack - 4-Bike 20 45 120 1188 900 \n",
- "4 Hitch Rack - 4-Bike 4 45 120 238 180 \n",
- "\n",
- " Revenue \n",
- "0 950 \n",
- "1 950 \n",
- "2 2401 \n",
- "3 2088 \n",
- "4 418 "
+ "source": [
+ "!head sales_data.csv"
]
- },
- "execution_count": 4,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "sales.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "(113036, 18)"
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 5,
+ "metadata": {
+ "id": "WhhDXUCNqTy3"
+ },
+ "outputs": [],
+ "source": [
+ "sales = pd.read_csv(\n",
+ " 'sales_data.csv',\n",
+ " parse_dates=['Date'])"
]
- },
- "execution_count": 5,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "sales.shape"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "| \n", - " | Day | \n", - "Year | \n", - "Customer_Age | \n", - "Order_Quantity | \n", - "Unit_Cost | \n", - "Unit_Price | \n", - "Profit | \n", - "Cost | \n", - "Revenue | \n", - "
|---|---|---|---|---|---|---|---|---|---|
| count | \n", - "113036.000000 | \n", - "113036.000000 | \n", - "113036.000000 | \n", - "113036.000000 | \n", - "113036.000000 | \n", - "113036.000000 | \n", - "113036.000000 | \n", - "113036.000000 | \n", - "113036.000000 | \n", - "
| mean | \n", - "15.665753 | \n", - "2014.401739 | \n", - "35.919212 | \n", - "11.901660 | \n", - "267.296366 | \n", - "452.938427 | \n", - "285.051665 | \n", - "469.318695 | \n", - "754.370360 | \n", - "
| std | \n", - "8.781567 | \n", - "1.272510 | \n", - "11.021936 | \n", - "9.561857 | \n", - "549.835483 | \n", - "922.071219 | \n", - "453.887443 | \n", - "884.866118 | \n", - "1309.094674 | \n", - "
| min | \n", - "1.000000 | \n", - "2011.000000 | \n", - "17.000000 | \n", - "1.000000 | \n", - "1.000000 | \n", - "2.000000 | \n", - "-30.000000 | \n", - "1.000000 | \n", - "2.000000 | \n", - "
| 25% | \n", - "8.000000 | \n", - "2013.000000 | \n", - "28.000000 | \n", - "2.000000 | \n", - "2.000000 | \n", - "5.000000 | \n", - "29.000000 | \n", - "28.000000 | \n", - "63.000000 | \n", - "
| 50% | \n", - "16.000000 | \n", - "2014.000000 | \n", - "35.000000 | \n", - "10.000000 | \n", - "9.000000 | \n", - "24.000000 | \n", - "101.000000 | \n", - "108.000000 | \n", - "223.000000 | \n", - "
| 75% | \n", - "23.000000 | \n", - "2016.000000 | \n", - "43.000000 | \n", - "20.000000 | \n", - "42.000000 | \n", - "70.000000 | \n", - "358.000000 | \n", - "432.000000 | \n", - "800.000000 | \n", - "
| max | \n", - "31.000000 | \n", - "2016.000000 | \n", - "87.000000 | \n", - "32.000000 | \n", - "2171.000000 | \n", - "3578.000000 | \n", - "15096.000000 | \n", - "42978.000000 | \n", - "58074.000000 | \n", - "
| \n", + " | Date | \n", + "Day | \n", + "Month | \n", + "Year | \n", + "Customer_Age | \n", + "Age_Group | \n", + "Customer_Gender | \n", + "Country | \n", + "State | \n", + "Product_Category | \n", + "Sub_Category | \n", + "Product | \n", + "Order_Quantity | \n", + "Unit_Cost | \n", + "Unit_Price | \n", + "Profit | \n", + "Cost | \n", + "Revenue | \n", + "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", + "2013-11-26 | \n", + "26 | \n", + "November | \n", + "2013 | \n", + "19 | \n", + "Youth (<25) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "8 | \n", + "45 | \n", + "120 | \n", + "590 | \n", + "360 | \n", + "950 | \n", + "
| 1 | \n", + "2015-11-26 | \n", + "26 | \n", + "November | \n", + "2015 | \n", + "19 | \n", + "Youth (<25) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "8 | \n", + "45 | \n", + "120 | \n", + "590 | \n", + "360 | \n", + "950 | \n", + "
| 2 | \n", + "2014-03-23 | \n", + "23 | \n", + "March | \n", + "2014 | \n", + "49 | \n", + "Adults (35-64) | \n", + "M | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "23 | \n", + "45 | \n", + "120 | \n", + "1366 | \n", + "1035 | \n", + "2401 | \n", + "
| 3 | \n", + "2016-03-23 | \n", + "23 | \n", + "March | \n", + "2016 | \n", + "49 | \n", + "Adults (35-64) | \n", + "M | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "20 | \n", + "45 | \n", + "120 | \n", + "1188 | \n", + "900 | \n", + "2088 | \n", + "
| 4 | \n", + "2014-05-15 | \n", + "15 | \n", + "May | \n", + "2014 | \n", + "47 | \n", + "Adults (35-64) | \n", + "F | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "4 | \n", + "45 | \n", + "120 | \n", + "238 | \n", + "180 | \n", + "418 | \n", + "
| \n", + " | Date | \n", + "Day | \n", + "Year | \n", + "Customer_Age | \n", + "Order_Quantity | \n", + "Unit_Cost | \n", + "Unit_Price | \n", + "Profit | \n", + "Cost | \n", + "Revenue | \n", + "
|---|---|---|---|---|---|---|---|---|---|---|
| count | \n", + "113036 | \n", + "113036.000000 | \n", + "113036.000000 | \n", + "113036.000000 | \n", + "113036.000000 | \n", + "113036.000000 | \n", + "113036.000000 | \n", + "113036.000000 | \n", + "113036.000000 | \n", + "113036.000000 | \n", + "
| mean | \n", + "2014-11-23 12:14:55.063519232 | \n", + "15.665753 | \n", + "2014.401739 | \n", + "35.919212 | \n", + "11.901660 | \n", + "267.296366 | \n", + "452.938427 | \n", + "285.051665 | \n", + "469.318695 | \n", + "754.370360 | \n", + "
| min | \n", + "2011-01-01 00:00:00 | \n", + "1.000000 | \n", + "2011.000000 | \n", + "17.000000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "2.000000 | \n", + "-30.000000 | \n", + "1.000000 | \n", + "2.000000 | \n", + "
| 25% | \n", + "2013-12-22 00:00:00 | \n", + "8.000000 | \n", + "2013.000000 | \n", + "28.000000 | \n", + "2.000000 | \n", + "2.000000 | \n", + "5.000000 | \n", + "29.000000 | \n", + "28.000000 | \n", + "63.000000 | \n", + "
| 50% | \n", + "2014-06-27 00:00:00 | \n", + "16.000000 | \n", + "2014.000000 | \n", + "35.000000 | \n", + "10.000000 | \n", + "9.000000 | \n", + "24.000000 | \n", + "101.000000 | \n", + "108.000000 | \n", + "223.000000 | \n", + "
| 75% | \n", + "2016-01-09 00:00:00 | \n", + "23.000000 | \n", + "2016.000000 | \n", + "43.000000 | \n", + "20.000000 | \n", + "42.000000 | \n", + "70.000000 | \n", + "358.000000 | \n", + "432.000000 | \n", + "800.000000 | \n", + "
| max | \n", + "2016-07-31 00:00:00 | \n", + "31.000000 | \n", + "2016.000000 | \n", + "87.000000 | \n", + "32.000000 | \n", + "2171.000000 | \n", + "3578.000000 | \n", + "15096.000000 | \n", + "42978.000000 | \n", + "58074.000000 | \n", + "
| std | \n", + "NaN | \n", + "8.781567 | \n", + "1.272510 | \n", + "11.021936 | \n", + "9.561857 | \n", + "549.835483 | \n", + "922.071219 | \n", + "453.887443 | \n", + "884.866118 | \n", + "1309.094674 | \n", + "
| \n", + " | Unit_Cost | \n", + "
|---|---|
| count | \n", + "113036.000000 | \n", + "
| mean | \n", + "267.296366 | \n", + "
| std | \n", + "549.835483 | \n", + "
| min | \n", + "1.000000 | \n", + "
| 25% | \n", + "2.000000 | \n", + "
| 50% | \n", + "9.000000 | \n", + "
| 75% | \n", + "42.000000 | \n", + "
| max | \n", + "2171.000000 | \n", + "
| \n", - " | Date | \n", - "Day | \n", - "Month | \n", - "Year | \n", - "Customer_Age | \n", - "Age_Group | \n", - "Customer_Gender | \n", - "Country | \n", - "State | \n", - "Product_Category | \n", - "Sub_Category | \n", - "Product | \n", - "Order_Quantity | \n", - "Unit_Cost | \n", - "Unit_Price | \n", - "Profit | \n", - "Cost | \n", - "Revenue | \n", - "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", - "2013-11-26 | \n", - "26 | \n", - "November | \n", - "2013 | \n", - "19 | \n", - "Youth (<25) | \n", - "M | \n", - "Canada | \n", - "British Columbia | \n", - "Accessories | \n", - "Bike Racks | \n", - "Hitch Rack - 4-Bike | \n", - "8 | \n", - "45 | \n", - "120 | \n", - "590 | \n", - "360 | \n", - "950 | \n", - "
| 1 | \n", - "2015-11-26 | \n", - "26 | \n", - "November | \n", - "2015 | \n", - "19 | \n", - "Youth (<25) | \n", - "M | \n", - "Canada | \n", - "British Columbia | \n", - "Accessories | \n", - "Bike Racks | \n", - "Hitch Rack - 4-Bike | \n", - "8 | \n", - "45 | \n", - "120 | \n", - "590 | \n", - "360 | \n", - "950 | \n", - "
| 2 | \n", - "2014-03-23 | \n", - "23 | \n", - "March | \n", - "2014 | \n", - "49 | \n", - "Adults (35-64) | \n", - "M | \n", - "Australia | \n", - "New South Wales | \n", - "Accessories | \n", - "Bike Racks | \n", - "Hitch Rack - 4-Bike | \n", - "23 | \n", - "45 | \n", - "120 | \n", - "1366 | \n", - "1035 | \n", - "2401 | \n", - "
| 3 | \n", - "2016-03-23 | \n", - "23 | \n", - "March | \n", - "2016 | \n", - "49 | \n", - "Adults (35-64) | \n", - "M | \n", - "Australia | \n", - "New South Wales | \n", - "Accessories | \n", - "Bike Racks | \n", - "Hitch Rack - 4-Bike | \n", - "20 | \n", - "45 | \n", - "120 | \n", - "1188 | \n", - "900 | \n", - "2088 | \n", - "
| 4 | \n", - "2014-05-15 | \n", - "15 | \n", - "May | \n", - "2014 | \n", - "47 | \n", - "Adults (35-64) | \n", - "F | \n", - "Australia | \n", - "New South Wales | \n", - "Accessories | \n", - "Bike Racks | \n", - "Hitch Rack - 4-Bike | \n", - "4 | \n", - "45 | \n", - "120 | \n", - "238 | \n", - "180 | \n", - "418 | \n", - "
| \n", + " | Date | \n", + "Day | \n", + "Month | \n", + "Year | \n", + "Customer_Age | \n", + "Age_Group | \n", + "Customer_Gender | \n", + "Country | \n", + "State | \n", + "Product_Category | \n", + "Sub_Category | \n", + "Product | \n", + "Order_Quantity | \n", + "Unit_Cost | \n", + "Unit_Price | \n", + "Profit | \n", + "Cost | \n", + "Revenue | \n", + "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", + "2013-11-26 | \n", + "26 | \n", + "November | \n", + "2013 | \n", + "19 | \n", + "Youth (<25) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "8 | \n", + "45 | \n", + "120 | \n", + "590 | \n", + "360 | \n", + "950 | \n", + "
| 1 | \n", + "2015-11-26 | \n", + "26 | \n", + "November | \n", + "2015 | \n", + "19 | \n", + "Youth (<25) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "8 | \n", + "45 | \n", + "120 | \n", + "590 | \n", + "360 | \n", + "950 | \n", + "
| 2 | \n", + "2014-03-23 | \n", + "23 | \n", + "March | \n", + "2014 | \n", + "49 | \n", + "Adults (35-64) | \n", + "M | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "23 | \n", + "45 | \n", + "120 | \n", + "1366 | \n", + "1035 | \n", + "2401 | \n", + "
| 3 | \n", + "2016-03-23 | \n", + "23 | \n", + "March | \n", + "2016 | \n", + "49 | \n", + "Adults (35-64) | \n", + "M | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "20 | \n", + "45 | \n", + "120 | \n", + "1188 | \n", + "900 | \n", + "2088 | \n", + "
| 4 | \n", + "2014-05-15 | \n", + "15 | \n", + "May | \n", + "2014 | \n", + "47 | \n", + "Adults (35-64) | \n", + "F | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "4 | \n", + "45 | \n", + "120 | \n", + "238 | \n", + "180 | \n", + "418 | \n", + "
| \n", + " | count | \n", + "
|---|---|
| Age_Group | \n", + "\n", + " |
| Adults (35-64) | \n", + "55824 | \n", + "
| Young Adults (25-34) | \n", + "38654 | \n", + "
| Youth (<25) | \n", + "17828 | \n", + "
| Seniors (64+) | \n", + "730 | \n", + "
| \n", + " | Day | \n", + "Year | \n", + "Customer_Age | \n", + "Order_Quantity | \n", + "Unit_Cost | \n", + "Unit_Price | \n", + "Profit | \n", + "Cost | \n", + "Revenue | \n", + "
|---|---|---|---|---|---|---|---|---|---|
| Day | \n", + "1.000000 | \n", + "-0.007635 | \n", + "-0.014296 | \n", + "-0.002412 | \n", + "0.003133 | \n", + "0.003207 | \n", + "0.004623 | \n", + "0.003329 | \n", + "0.003853 | \n", + "
| Year | \n", + "-0.007635 | \n", + "1.000000 | \n", + "0.040994 | \n", + "0.123169 | \n", + "-0.217575 | \n", + "-0.213673 | \n", + "-0.181525 | \n", + "-0.215604 | \n", + "-0.208673 | \n", + "
| Customer_Age | \n", + "-0.014296 | \n", + "0.040994 | \n", + "1.000000 | \n", + "0.026887 | \n", + "-0.021374 | \n", + "-0.020262 | \n", + "0.004319 | \n", + "-0.016013 | \n", + "-0.009326 | \n", + "
| Order_Quantity | \n", + "-0.002412 | \n", + "0.123169 | \n", + "0.026887 | \n", + "1.000000 | \n", + "-0.515835 | \n", + "-0.515925 | \n", + "-0.238863 | \n", + "-0.340382 | \n", + "-0.312895 | \n", + "
| Unit_Cost | \n", + "0.003133 | \n", + "-0.217575 | \n", + "-0.021374 | \n", + "-0.515835 | \n", + "1.000000 | \n", + "0.997894 | \n", + "0.741020 | \n", + "0.829869 | \n", + "0.817865 | \n", + "
| Unit_Price | \n", + "0.003207 | \n", + "-0.213673 | \n", + "-0.020262 | \n", + "-0.515925 | \n", + "0.997894 | \n", + "1.000000 | \n", + "0.749870 | \n", + "0.826301 | \n", + "0.818522 | \n", + "
| Profit | \n", + "0.004623 | \n", + "-0.181525 | \n", + "0.004319 | \n", + "-0.238863 | \n", + "0.741020 | \n", + "0.749870 | \n", + "1.000000 | \n", + "0.902233 | \n", + "0.956572 | \n", + "
| Cost | \n", + "0.003329 | \n", + "-0.215604 | \n", + "-0.016013 | \n", + "-0.340382 | \n", + "0.829869 | \n", + "0.826301 | \n", + "0.902233 | \n", + "1.000000 | \n", + "0.988758 | \n", + "
| Revenue | \n", + "0.003853 | \n", + "-0.208673 | \n", + "-0.009326 | \n", + "-0.312895 | \n", + "0.817865 | \n", + "0.818522 | \n", + "0.956572 | \n", + "0.988758 | \n", + "1.000000 | \n", + "
| \n", - " | Day | \n", - "Year | \n", - "Customer_Age | \n", - "Order_Quantity | \n", - "Unit_Cost | \n", - "Unit_Price | \n", - "Profit | \n", - "Cost | \n", - "Revenue | \n", - "
|---|---|---|---|---|---|---|---|---|---|
| Day | \n", - "1.000000 | \n", - "-0.007635 | \n", - "-0.014296 | \n", - "-0.002412 | \n", - "0.003133 | \n", - "0.003207 | \n", - "0.004623 | \n", - "0.003329 | \n", - "0.003853 | \n", - "
| Year | \n", - "-0.007635 | \n", - "1.000000 | \n", - "0.040994 | \n", - "0.123169 | \n", - "-0.217575 | \n", - "-0.213673 | \n", - "-0.181525 | \n", - "-0.215604 | \n", - "-0.208673 | \n", - "
| Customer_Age | \n", - "-0.014296 | \n", - "0.040994 | \n", - "1.000000 | \n", - "0.026887 | \n", - "-0.021374 | \n", - "-0.020262 | \n", - "0.004319 | \n", - "-0.016013 | \n", - "-0.009326 | \n", - "
| Order_Quantity | \n", - "-0.002412 | \n", - "0.123169 | \n", - "0.026887 | \n", - "1.000000 | \n", - "-0.515835 | \n", - "-0.515925 | \n", - "-0.238863 | \n", - "-0.340382 | \n", - "-0.312895 | \n", - "
| Unit_Cost | \n", - "0.003133 | \n", - "-0.217575 | \n", - "-0.021374 | \n", - "-0.515835 | \n", - "1.000000 | \n", - "0.997894 | \n", - "0.741020 | \n", - "0.829869 | \n", - "0.817865 | \n", - "
| Unit_Price | \n", - "0.003207 | \n", - "-0.213673 | \n", - "-0.020262 | \n", - "-0.515925 | \n", - "0.997894 | \n", - "1.000000 | \n", - "0.749870 | \n", - "0.826301 | \n", - "0.818522 | \n", - "
| Profit | \n", - "0.004623 | \n", - "-0.181525 | \n", - "0.004319 | \n", - "-0.238863 | \n", - "0.741020 | \n", - "0.749870 | \n", - "1.000000 | \n", - "0.902233 | \n", - "0.956572 | \n", - "
| Cost | \n", - "0.003329 | \n", - "-0.215604 | \n", - "-0.016013 | \n", - "-0.340382 | \n", - "0.829869 | \n", - "0.826301 | \n", - "0.902233 | \n", - "1.000000 | \n", - "0.988758 | \n", - "
| Revenue | \n", - "0.003853 | \n", - "-0.208673 | \n", - "-0.009326 | \n", - "-0.312895 | \n", - "0.817865 | \n", - "0.818522 | \n", - "0.956572 | \n", - "0.988758 | \n", - "1.000000 | \n", - "
| \n", + " | 0 | \n", + "
|---|---|
| Year | \n", + "Axes(0.125,0.53;0.227941x0.35) | \n", + "
| Customer_Age | \n", + "Axes(0.398529,0.53;0.227941x0.35) | \n", + "
| Order_Quantity | \n", + "Axes(0.672059,0.53;0.227941x0.35) | \n", + "
| Unit_Cost | \n", + "Axes(0.125,0.11;0.227941x0.35) | \n", + "
| Unit_Price | \n", + "Axes(0.398529,0.11;0.227941x0.35) | \n", + "
| Profit | \n", + "Axes(0.672059,0.11;0.227941x0.35) | \n", + "
| \n", + " | Revenue_per_Age | \n", + "
|---|---|
| 0 | \n", + "50.000000 | \n", + "
| 1 | \n", + "50.000000 | \n", + "
| 2 | \n", + "49.000000 | \n", + "
| 3 | \n", + "42.612245 | \n", + "
| 4 | \n", + "8.893617 | \n", + "
| \n", + " | Calculated_Cost | \n", + "
|---|---|
| 0 | \n", + "360 | \n", + "
| 1 | \n", + "360 | \n", + "
| 2 | \n", + "1035 | \n", + "
| 3 | \n", + "900 | \n", + "
| 4 | \n", + "180 | \n", + "
| \n", + " | Date | \n", + "Day | \n", + "Month | \n", + "Year | \n", + "Customer_Age | \n", + "Age_Group | \n", + "Customer_Gender | \n", + "Country | \n", + "State | \n", + "Product_Category | \n", + "Sub_Category | \n", + "Product | \n", + "Order_Quantity | \n", + "Unit_Cost | \n", + "Unit_Price | \n", + "Profit | \n", + "Cost | \n", + "Revenue | \n", + "Calculated_Cost | \n", + "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", + "2013-11-26 | \n", + "26 | \n", + "November | \n", + "2013 | \n", + "19 | \n", + "Youth (<25) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "8 | \n", + "45 | \n", + "120 | \n", + "590 | \n", + "360 | \n", + "950 | \n", + "360 | \n", + "
| 1 | \n", + "2015-11-26 | \n", + "26 | \n", + "November | \n", + "2015 | \n", + "19 | \n", + "Youth (<25) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "8 | \n", + "45 | \n", + "120 | \n", + "590 | \n", + "360 | \n", + "950 | \n", + "360 | \n", + "
| 2 | \n", + "2014-03-23 | \n", + "23 | \n", + "March | \n", + "2014 | \n", + "49 | \n", + "Adults (35-64) | \n", + "M | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "23 | \n", + "45 | \n", + "120 | \n", + "1366 | \n", + "1035 | \n", + "2401 | \n", + "1035 | \n", + "
| 3 | \n", + "2016-03-23 | \n", + "23 | \n", + "March | \n", + "2016 | \n", + "49 | \n", + "Adults (35-64) | \n", + "M | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "20 | \n", + "45 | \n", + "120 | \n", + "1188 | \n", + "900 | \n", + "2088 | \n", + "900 | \n", + "
| 4 | \n", + "2014-05-15 | \n", + "15 | \n", + "May | \n", + "2014 | \n", + "47 | \n", + "Adults (35-64) | \n", + "F | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "4 | \n", + "45 | \n", + "120 | \n", + "238 | \n", + "180 | \n", + "418 | \n", + "180 | \n", + "
| \n", + " | Calculated_Revenue | \n", + "
|---|---|
| 0 | \n", + "950 | \n", + "
| 1 | \n", + "950 | \n", + "
| 2 | \n", + "2401 | \n", + "
| 3 | \n", + "2088 | \n", + "
| 4 | \n", + "418 | \n", + "
| \n", + " | Date | \n", + "Day | \n", + "Month | \n", + "Year | \n", + "Customer_Age | \n", + "Age_Group | \n", + "Customer_Gender | \n", + "Country | \n", + "State | \n", + "Product_Category | \n", + "Sub_Category | \n", + "Product | \n", + "Order_Quantity | \n", + "Unit_Cost | \n", + "Unit_Price | \n", + "Profit | \n", + "Cost | \n", + "Revenue | \n", + "Calculated_Cost | \n", + "Calculated_Revenue | \n", + "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", + "2013-11-26 | \n", + "26 | \n", + "November | \n", + "2013 | \n", + "19 | \n", + "Youth (<25) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "8 | \n", + "45 | \n", + "120 | \n", + "590 | \n", + "360 | \n", + "950 | \n", + "360 | \n", + "950 | \n", + "
| 1 | \n", + "2015-11-26 | \n", + "26 | \n", + "November | \n", + "2015 | \n", + "19 | \n", + "Youth (<25) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "8 | \n", + "45 | \n", + "120 | \n", + "590 | \n", + "360 | \n", + "950 | \n", + "360 | \n", + "950 | \n", + "
| 2 | \n", + "2014-03-23 | \n", + "23 | \n", + "March | \n", + "2014 | \n", + "49 | \n", + "Adults (35-64) | \n", + "M | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "23 | \n", + "45 | \n", + "120 | \n", + "1366 | \n", + "1035 | \n", + "2401 | \n", + "1035 | \n", + "2401 | \n", + "
| 3 | \n", + "2016-03-23 | \n", + "23 | \n", + "March | \n", + "2016 | \n", + "49 | \n", + "Adults (35-64) | \n", + "M | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "20 | \n", + "45 | \n", + "120 | \n", + "1188 | \n", + "900 | \n", + "2088 | \n", + "900 | \n", + "2088 | \n", + "
| 4 | \n", + "2014-05-15 | \n", + "15 | \n", + "May | \n", + "2014 | \n", + "47 | \n", + "Adults (35-64) | \n", + "F | \n", + "Australia | \n", + "New South Wales | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "4 | \n", + "45 | \n", + "120 | \n", + "238 | \n", + "180 | \n", + "418 | \n", + "180 | \n", + "418 | \n", + "
| \n", + " | Unit_Price | \n", + "
|---|---|
| 0 | \n", + "120 | \n", + "
| 1 | \n", + "120 | \n", + "
| 2 | \n", + "120 | \n", + "
| 3 | \n", + "120 | \n", + "
| 4 | \n", + "120 | \n", + "
| \n", - " | Date | \n", - "Day | \n", - "Month | \n", - "Year | \n", - "Customer_Age | \n", - "Age_Group | \n", - "Customer_Gender | \n", - "Country | \n", - "State | \n", - "Product_Category | \n", - "... | \n", - "Product | \n", - "Order_Quantity | \n", - "Unit_Cost | \n", - "Unit_Price | \n", - "Profit | \n", - "Cost | \n", - "Revenue | \n", - "Revenue_per_Age | \n", - "Calculated_Cost | \n", - "Calculated_Revenue | \n", - "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", - "2013-11-26 | \n", - "26 | \n", - "November | \n", - "2013 | \n", - "19 | \n", - "Youth (<25) | \n", - "M | \n", - "Canada | \n", - "British Columbia | \n", - "Accessories | \n", - "... | \n", - "Hitch Rack - 4-Bike | \n", - "8 | \n", - "45 | \n", - "120 | \n", - "590 | \n", - "360 | \n", - "950 | \n", - "50.000000 | \n", - "360 | \n", - "950 | \n", - "
| 1 | \n", - "2015-11-26 | \n", - "26 | \n", - "November | \n", - "2015 | \n", - "19 | \n", - "Youth (<25) | \n", - "M | \n", - "Canada | \n", - "British Columbia | \n", - "Accessories | \n", - "... | \n", - "Hitch Rack - 4-Bike | \n", - "8 | \n", - "45 | \n", - "120 | \n", - "590 | \n", - "360 | \n", - "950 | \n", - "50.000000 | \n", - "360 | \n", - "950 | \n", - "
| 2 | \n", - "2014-03-23 | \n", - "23 | \n", - "March | \n", - "2014 | \n", - "49 | \n", - "Adults (35-64) | \n", - "M | \n", - "Australia | \n", - "New South Wales | \n", - "Accessories | \n", - "... | \n", - "Hitch Rack - 4-Bike | \n", - "23 | \n", - "45 | \n", - "120 | \n", - "1366 | \n", - "1035 | \n", - "2401 | \n", - "49.000000 | \n", - "1035 | \n", - "2401 | \n", - "
| 3 | \n", - "2016-03-23 | \n", - "23 | \n", - "March | \n", - "2016 | \n", - "49 | \n", - "Adults (35-64) | \n", - "M | \n", - "Australia | \n", - "New South Wales | \n", - "Accessories | \n", - "... | \n", - "Hitch Rack - 4-Bike | \n", - "20 | \n", - "45 | \n", - "120 | \n", - "1188 | \n", - "900 | \n", - "2088 | \n", - "42.612245 | \n", - "900 | \n", - "2088 | \n", - "
| 4 | \n", - "2014-05-15 | \n", - "15 | \n", - "May | \n", - "2014 | \n", - "47 | \n", - "Adults (35-64) | \n", - "F | \n", - "Australia | \n", - "New South Wales | \n", - "Accessories | \n", - "... | \n", - "Hitch Rack - 4-Bike | \n", - "4 | \n", - "45 | \n", - "120 | \n", - "238 | \n", - "180 | \n", - "418 | \n", - "8.893617 | \n", - "180 | \n", - "418 | \n", - "
5 rows × 21 columns
\n", - "| \n", + " | Unit_Price | \n", + "
|---|---|
| 0 | \n", + "123.6 | \n", + "
| 1 | \n", + "123.6 | \n", + "
| 2 | \n", + "123.6 | \n", + "
| 3 | \n", + "123.6 | \n", + "
| 4 | \n", + "123.6 | \n", + "
| \n", + " | Date | \n", + "Day | \n", + "Month | \n", + "Year | \n", + "Customer_Age | \n", + "Age_Group | \n", + "Customer_Gender | \n", + "Country | \n", + "State | \n", + "Product_Category | \n", + "Sub_Category | \n", + "Product | \n", + "Order_Quantity | \n", + "Unit_Cost | \n", + "Unit_Price | \n", + "Profit | \n", + "Cost | \n", + "Revenue | \n", + "Calculated_Cost | \n", + "Calculated_Revenue | \n", + "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | \n", + "2013-11-26 | \n", + "26 | \n", + "November | \n", + "2013 | \n", + "19 | \n", + "Youth (<25) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "8 | \n", + "45 | \n", + "123.60 | \n", + "590 | \n", + "360 | \n", + "950.0 | \n", + "360 | \n", + "950 | \n", + "
| 1 | \n", + "2015-11-26 | \n", + "26 | \n", + "November | \n", + "2015 | \n", + "19 | \n", + "Youth (<25) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "8 | \n", + "45 | \n", + "123.60 | \n", + "590 | \n", + "360 | \n", + "950.0 | \n", + "360 | \n", + "950 | \n", + "
| 14 | \n", + "2013-08-02 | \n", + "2 | \n", + "August | \n", + "2013 | \n", + "29 | \n", + "Young Adults (25-34) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "5 | \n", + "45 | \n", + "123.60 | \n", + "369 | \n", + "225 | \n", + "594.0 | \n", + "225 | \n", + "594 | \n", + "
| 15 | \n", + "2015-08-02 | \n", + "2 | \n", + "August | \n", + "2015 | \n", + "29 | \n", + "Young Adults (25-34) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "7 | \n", + "45 | \n", + "123.60 | \n", + "517 | \n", + "315 | \n", + "832.0 | \n", + "315 | \n", + "832 | \n", + "
| 16 | \n", + "2013-09-02 | \n", + "2 | \n", + "September | \n", + "2013 | \n", + "29 | \n", + "Young Adults (25-34) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Accessories | \n", + "Bike Racks | \n", + "Hitch Rack - 4-Bike | \n", + "2 | \n", + "45 | \n", + "123.60 | \n", + "148 | \n", + "90 | \n", + "238.0 | \n", + "90 | \n", + "238 | \n", + "
| ... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "
| 112885 | \n", + "2016-07-05 | \n", + "5 | \n", + "July | \n", + "2016 | \n", + "38 | \n", + "Adults (35-64) | \n", + "M | \n", + "Canada | \n", + "British Columbia | \n", + "Clothing | \n", + "Vests | \n", + "Classic Vest, L | \n", + "14 | \n", + "24 | \n", + "65.92 | \n", + "551 | \n", + "336 | \n", + "887.0 | \n", + "336 | \n", + "887 | \n", + "
| 112952 | \n", + "2013-08-18 | \n", + "18 | \n", + "August | \n", + "2013 | \n", + "31 | \n", + "Young Adults (25-34) | \n", + "F | \n", + "Canada | \n", + "British Columbia | \n", + "Clothing | \n", + "Vests | \n", + "Classic Vest, L | \n", + "13 | \n", + "24 | \n", + "65.92 | \n", + "512 | \n", + "312 | \n", + "824.0 | \n", + "312 | \n", + "824 | \n", + "
| 112953 | \n", + "2015-08-18 | \n", + "18 | \n", + "August | \n", + "2015 | \n", + "31 | \n", + "Young Adults (25-34) | \n", + "F | \n", + "Canada | \n", + "British Columbia | \n", + "Clothing | \n", + "Vests | \n", + "Classic Vest, L | \n", + "11 | \n", + "24 | \n", + "65.92 | \n", + "433 | \n", + "264 | \n", + "697.0 | \n", + "264 | \n", + "697 | \n", + "
| 112954 | \n", + "2013-09-21 | \n", + "21 | \n", + "September | \n", + "2013 | \n", + "31 | \n", + "Young Adults (25-34) | \n", + "F | \n", + "Canada | \n", + "British Columbia | \n", + "Clothing | \n", + "Vests | \n", + "Classic Vest, L | \n", + "15 | \n", + "24 | \n", + "65.92 | \n", + "590 | \n", + "360 | \n", + "950.0 | \n", + "360 | \n", + "950 | \n", + "
| 112955 | \n", + "2015-09-21 | \n", + "21 | \n", + "September | \n", + "2015 | \n", + "31 | \n", + "Young Adults (25-34) | \n", + "F | \n", + "Canada | \n", + "British Columbia | \n", + "Clothing | \n", + "Vests | \n", + "Classic Vest, L | \n", + "16 | \n", + "24 | \n", + "65.92 | \n", + "630 | \n", + "384 | \n", + "1014.0 | \n", + "384 | \n", + "1014 | \n", + "
14178 rows × 20 columns
\n", + "| \n", - " | Date | \n", - "Day | \n", - "Month | \n", - "Year | \n", - "Customer_Age | \n", - "Age_Group | \n", - "Customer_Gender | \n", - "Country | \n", - "State | \n", - "Product_Category | \n", - "... | \n", - "Product | \n", - "Order_Quantity | \n", - "Unit_Cost | \n", - "Unit_Price | \n", - "Profit | \n", - "Cost | \n", - "Revenue | \n", - "Revenue_per_Age | \n", - "Calculated_Cost | \n", - "Calculated_Revenue | \n", - "
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 156 | \n", - "2013-11-04 | \n", - "4 | \n", - "November | \n", - "2013 | \n", - "40 | \n", - "Adults (35-64) | \n", - "M | \n", - "United States | \n", - "Kentucky | \n", - "Accessories | \n", - "... | \n", - "Hitch Rack - 4-Bike | \n", - "1 | \n", - "45 | \n", - "123.60 | \n", - "63 | \n", - "45 | \n", - "108 | \n", - "2.700 | \n", - "45 | \n", - "108 | \n", - "
| 157 | \n", - "2015-11-04 | \n", - "4 | \n", - "November | \n", - "2015 | \n", - "40 | \n", - "Adults (35-64) | \n", - "M | \n", - "United States | \n", - "Kentucky | \n", - "Accessories | \n", - "... | \n", - "Hitch Rack - 4-Bike | \n", - "1 | \n", - "45 | \n", - "123.60 | \n", - "63 | \n", - "45 | \n", - "108 | \n", - "2.700 | \n", - "45 | \n", - "108 | \n", - "
| 23826 | \n", - "2014-04-16 | \n", - "16 | \n", - "April | \n", - "2014 | \n", - "40 | \n", - "Adults (35-64) | \n", - "M | \n", - "United States | \n", - "Kentucky | \n", - "Accessories | \n", - "... | \n", - "Fender Set - Mountain | \n", - "12 | \n", - "8 | \n", - "22.66 | \n", - "142 | \n", - "96 | \n", - "238 | \n", - "5.950 | \n", - "96 | \n", - "238 | \n", - "
| 23827 | \n", - "2016-04-16 | \n", - "16 | \n", - "April | \n", - "2016 | \n", - "40 | \n", - "Adults (35-64) | \n", - "M | \n", - "United States | \n", - "Kentucky | \n", - "Accessories | \n", - "... | \n", - "Fender Set - Mountain | \n", - "14 | \n", - "8 | \n", - "22.66 | \n", - "165 | \n", - "112 | \n", - "277 | \n", - "6.925 | \n", - "112 | \n", - "277 | \n", - "
| 31446 | \n", - "2014-04-16 | \n", - "16 | \n", - "April | \n", - "2014 | \n", - "40 | \n", - "Adults (35-64) | \n", - "M | \n", - "United States | \n", - "Kentucky | \n", - "Accessories | \n", - "... | \n", - "Sport-100 Helmet, Blue | \n", - "29 | \n", - "13 | \n", - "36.05 | \n", - "537 | \n", - "377 | \n", - "914 | \n", - "22.850 | \n", - "377 | \n", - "914 | \n", - "
| 31447 | \n", - "2016-04-16 | \n", - "16 | \n", - "April | \n", - "2016 | \n", - "40 | \n", - "Adults (35-64) | \n", - "M | \n", - "United States | \n", - "Kentucky | \n", - "Accessories | \n", - "... | \n", - "Sport-100 Helmet, Blue | \n", - "31 | \n", - "13 | \n", - "36.05 | \n", - "574 | \n", - "403 | \n", - "977 | \n", - "24.425 | \n", - "403 | \n", - "977 | \n", - "
| 79670 | \n", - "2014-04-16 | \n", - "16 | \n", - "April | \n", - "2014 | \n", - "40 | \n", - "Adults (35-64) | \n", - "M | \n", - "United States | \n", - "Kentucky | \n", - "Accessories | \n", - "... | \n", - "ML Mountain Tire | \n", - "2 | \n", - "11 | \n", - "30.90 | \n", - "32 | \n", - "22 | \n", - "54 | \n", - "1.350 | \n", - "22 | \n", - "54 | \n", - "
| 79671 | \n", - "2014-04-16 | \n", - "16 | \n", - "April | \n", - "2014 | \n", - "40 | \n", - "Adults (35-64) | \n", - "M | \n", - "United States | \n", - "Kentucky | \n", - "Accessories | \n", - "... | \n", - "ML Mountain Tire | \n", - "21 | \n", - "11 | \n", - "30.90 | \n", - "336 | \n", - "231 | \n", - "567 | \n", - "14.175 | \n", - "231 | \n", - "567 | \n", - "
| 79672 | \n", - "2016-04-16 | \n", - "16 | \n", - "April | \n", - "2016 | \n", - "40 | \n", - "Adults (35-64) | \n", - "M | \n", - "United States | \n", - "Kentucky | \n", - "Accessories | \n", - "... | \n", - "ML Mountain Tire | \n", - "1 | \n", - "11 | \n", - "30.90 | \n", - "16 | \n", - "11 | \n", - "27 | \n", - "0.675 | \n", - "11 | \n", - "27 | \n", - "
| 79673 | \n", - "2016-04-16 | \n", - "16 | \n", - "April | \n", - "2016 | \n", - "40 | \n", - "Adults (35-64) | \n", - "M | \n", - "United States | \n", - "Kentucky | \n", - "Accessories | \n", - "... | \n", - "ML Mountain Tire | \n", - "18 | \n", - "11 | \n", - "30.90 | \n", - "288 | \n", - "198 | \n", - "486 | \n", - "12.150 | \n", - "198 | \n", - "486 | \n", - "
10 rows × 21 columns
\n", - "| \n", + " | Revenue | \n", + "
|---|---|
| 50 | \n", + "787 | \n", + "
| 51 | \n", + "787 | \n", + "
| 52 | \n", + "2957 | \n", + "
| 53 | \n", + "2851 | \n", + "
| 60 | \n", + "626 | \n", + "
| \n", + " | Revenue | \n", + "
|---|---|
| 50 | \n", + "865.7 | \n", + "
| 51 | \n", + "865.7 | \n", + "
| 52 | \n", + "3252.7 | \n", + "
| 53 | \n", + "3136.1 | \n", + "
| 60 | \n", + "688.6 | \n", + "