From 2b64a9580ae2ba37da9400c2078851bd77e505ab Mon Sep 17 00:00:00 2001 From: Axel Barck-Holst <102673853+AxelHolst@users.noreply.github.com> Date: Fri, 26 Jul 2024 19:21:12 +0200 Subject: [PATCH] Add Page Visits Funnel analysis for Cool T-Shirts Inc. --- .../Page_Visits_Funnel_Project/.DS_Store | Bin 0 -> 6148 bytes .../Page_Funnel_Visits-checkpoint.ipynb | 274 +++ ...ge_Funnel_Visits_Solution-checkpoint.ipynb | 518 +++++ .../Page_Funnel_Visits.ipynb | 505 +++++ .../Page_Visits_Funnel_Project/cart.csv | 349 +++ .../Page_Visits_Funnel_Project/checkout.csv | 227 ++ .../Page_Visits_Funnel_Project/purchase.csv | 253 +++ .../Page_Visits_Funnel_Project/visits.csv | 2001 +++++++++++++++++ 8 files changed, 4127 insertions(+) create mode 100644 Data Science Foundations II/Page_Visits_Funnel_Project/.DS_Store create mode 100644 Data Science Foundations II/Page_Visits_Funnel_Project/.ipynb_checkpoints/Page_Funnel_Visits-checkpoint.ipynb create mode 100644 Data Science Foundations II/Page_Visits_Funnel_Project/.ipynb_checkpoints/Page_Funnel_Visits_Solution-checkpoint.ipynb create mode 100644 Data Science Foundations II/Page_Visits_Funnel_Project/Page_Funnel_Visits.ipynb create mode 100644 Data Science Foundations II/Page_Visits_Funnel_Project/cart.csv create mode 100644 Data Science Foundations II/Page_Visits_Funnel_Project/checkout.csv create mode 100644 Data Science Foundations II/Page_Visits_Funnel_Project/purchase.csv create mode 100644 Data Science Foundations II/Page_Visits_Funnel_Project/visits.csv diff --git a/Data Science Foundations II/Page_Visits_Funnel_Project/.DS_Store b/Data Science Foundations II/Page_Visits_Funnel_Project/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
user_idvisit_timecart_time
0943647ef-3682-4750-a2e1-918ba6f161882017-04-07 15:14:00NaT
10c3a3dd0-fb64-4eac-bf84-ba069ce409f22017-01-26 14:24:002017-01-26 14:44:00
26e0b2d60-4027-4d9a-babd-0e7d40859fb12017-08-20 08:23:002017-08-20 08:31:00
36879527e-c5a6-4d14-b2da-50b85212b0ab2017-11-04 18:15:00NaT
4a84327ff-5daa-4ba1-b789-d5b4caf81e962017-02-27 11:25:00NaT
\n", + "" + ], + "text/plain": [ + " user_id visit_time \\\n", + "0 943647ef-3682-4750-a2e1-918ba6f16188 2017-04-07 15:14:00 \n", + "1 0c3a3dd0-fb64-4eac-bf84-ba069ce409f2 2017-01-26 14:24:00 \n", + "2 6e0b2d60-4027-4d9a-babd-0e7d40859fb1 2017-08-20 08:23:00 \n", + "3 6879527e-c5a6-4d14-b2da-50b85212b0ab 2017-11-04 18:15:00 \n", + "4 a84327ff-5daa-4ba1-b789-d5b4caf81e96 2017-02-27 11:25:00 \n", + "\n", + " cart_time \n", + "0 NaT \n", + "1 2017-01-26 14:44:00 \n", + "2 2017-08-20 08:31:00 \n", + "3 NaT \n", + "4 NaT " + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "visits_cart = visits.merge(cart, how = 'left')\n", + "\n", + "visits_cart.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 3: How long is `visits_cart`?" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2000\n" + ] + } + ], + "source": [ + "total_visits = len(visits_cart)\n", + "\n", + "print(total_visits)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 4: How many timestamps are null for `cart_time`?" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1652\n" + ] + } + ], + "source": [ + "null_cart_times = len(visits_cart[visits_cart.cart_time.isnull()])\n", + "\n", + "print(null_cart_times)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*We see that `cart_time` has 1652 null values. This tells us that 1652 of the 2000 people who visited the site never made it to the cart.*\n", + "\n", + "Step 5: What percentage only visited?" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.826\n" + ] + } + ], + "source": [ + "visited_not_cart = float(null_cart_times) / float(total_visits)\n", + "\n", + "print(visited_not_cart)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 6: What percentage placed a t-shirt in their cart but did not checkout?" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " user_id cart_time \\\n", + "0 2be90e7c-9cca-44e0-bcc5-124b945ff168 2017-11-07 20:45:00 \n", + "1 2be90e7c-9cca-44e0-bcc5-124b945ff168 2017-11-07 20:45:00 \n", + "2 2be90e7c-9cca-44e0-bcc5-124b945ff168 2017-11-07 20:45:00 \n", + "3 4397f73f-1da3-4ab3-91af-762792e25973 2017-05-27 01:35:00 \n", + "4 a9db3d4b-0a0a-4398-a55a-ebb2c7adf663 2017-03-04 10:38:00 \n", + "\n", + " checkout_time \n", + "0 2017-11-07 21:14:00 \n", + "1 2017-11-07 20:50:00 \n", + "2 2017-11-07 21:11:00 \n", + "3 NaT \n", + "4 2017-03-04 11:04:00 \n", + "Cart but not checkout: 0.3505747126436782\n" + ] + } + ], + "source": [ + "cart_checkout = cart.merge(checkout, how = 'left')\n", + "\n", + "print(cart_checkout.head())\n", + "\n", + "null_checkout_times = len(cart_checkout[cart_checkout.checkout_time.isnull()])\n", + "\n", + "cart_not_checkout = float(null_checkout_times) / float(len(cart))\n", + "\n", + "print(\"Cart but not checkout:\", cart_not_checkout)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 7: Merge it all together" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " user_id visit_time \\\n", + "0 943647ef-3682-4750-a2e1-918ba6f16188 2017-04-07 15:14:00 \n", + "1 0c3a3dd0-fb64-4eac-bf84-ba069ce409f2 2017-01-26 14:24:00 \n", + "2 6e0b2d60-4027-4d9a-babd-0e7d40859fb1 2017-08-20 08:23:00 \n", + "3 6879527e-c5a6-4d14-b2da-50b85212b0ab 2017-11-04 18:15:00 \n", + "4 a84327ff-5daa-4ba1-b789-d5b4caf81e96 2017-02-27 11:25:00 \n", + "\n", + " cart_time checkout_time purchase_time \n", + "0 NaT NaT NaT \n", + "1 2017-01-26 14:44:00 2017-01-26 14:54:00 2017-01-26 15:08:00 \n", + "2 2017-08-20 08:31:00 NaT NaT \n", + "3 NaT NaT NaT \n", + "4 NaT NaT NaT \n" + ] + } + ], + "source": [ + "all_data = visits_cart\\\n", + ".merge(cart_checkout, how = 'left')\\\n", + ".merge(purchase, how = 'left')\n", + "\n", + "print(all_data.head(5))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 8: % of users who got to checkout but did not purchase" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "% of users who got to checkout but did not purchase: 0.17147707979626486\n" + ] + } + ], + "source": [ + "reached_checkout = all_data[~all_data.checkout_time.isnull()]\n", + "\n", + "checkout_not_purchase = all_data[(all_data.purchase_time.isnull()) & (~all_data.checkout_time.isnull())]\n", + "\n", + "checkout_not_purchase_percent = float(len(checkout_not_purchase)) / float(len(reached_checkout))\n", + "\n", + "print(\"% of users who got to checkout but did not purchase:\",checkout_not_purchase_percent)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 9: check each part of the funnel, let's print all 3 of them again" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "82.6 percent of users who visited the page did not add a t-shirt to their cart\n", + "35.06 percent of users who added a t-shirt to their cart did not checkout\n", + "17.15 percent of users who made it to checkout did not purchase a shirt\n" + ] + } + ], + "source": [ + "print(\"{} percent of users who visited the page did not add a t-shirt to their cart\".format(round(visited_not_cart*100, 2)))\n", + "print(\"{} percent of users who added a t-shirt to their cart did not checkout\".format(round(cart_not_checkout*100, 2)))\n", + "print(\"{} percent of users who made it to checkout did not purchase a shirt\".format(round( checkout_not_purchase_percent*100, 2)))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*The weakest part of the funnel is clearly getting a person who visited the site to add a tshirt to their cart. Once they've added a t-shirt to their cart it is fairly likely they end up purchasing it. A suggestion could be to make the add-to-cart button more prominent on the front page.*\n", + "\n", + "\n", + "Step 10: adding new column" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "all_data['time_to_purchase'] = \\\n", + " all_data.purchase_time - \\\n", + " all_data.visit_time" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 11: examine the results" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 NaT\n", + "1 0 days 00:44:00\n", + "2 NaT\n", + "3 NaT\n", + "4 NaT\n", + " ... \n", + "2358 NaT\n", + "2359 NaT\n", + "2360 NaT\n", + "2361 NaT\n", + "2362 NaT\n", + "Name: time_to_purchase, Length: 2363, dtype: timedelta64[ns]\n" + ] + } + ], + "source": [ + "print(all_data.time_to_purchase)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 12: average time to purchase" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 days 00:43:50.532786885\n" + ] + } + ], + "source": [ + "print(all_data.time_to_purchase.mean())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "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": "3.8.5" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Data Science Foundations II/Page_Visits_Funnel_Project/Page_Funnel_Visits.ipynb b/Data Science Foundations II/Page_Visits_Funnel_Project/Page_Funnel_Visits.ipynb new file mode 100644 index 0000000..772b000 --- /dev/null +++ b/Data Science Foundations II/Page_Visits_Funnel_Project/Page_Funnel_Visits.ipynb @@ -0,0 +1,505 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Import all the files" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "visits = pd.read_csv('visits.csv',\n", + " parse_dates=[1])\n", + "cart = pd.read_csv('cart.csv',\n", + " parse_dates=[1])\n", + " \n", + "checkout = pd.read_csv('checkout.csv',\n", + " parse_dates=[1])\n", + "purchase = pd.read_csv('purchase.csv',\n", + " parse_dates=[1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 1: Inspect the DataFrames using `print` and `head`" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " user_id visit_time\n", + "0 943647ef-3682-4750-a2e1-918ba6f16188 2017-04-07 15:14:00\n", + "1 0c3a3dd0-fb64-4eac-bf84-ba069ce409f2 2017-01-26 14:24:00\n", + "2 6e0b2d60-4027-4d9a-babd-0e7d40859fb1 2017-08-20 08:23:00\n", + "3 6879527e-c5a6-4d14-b2da-50b85212b0ab 2017-11-04 18:15:00\n", + "4 a84327ff-5daa-4ba1-b789-d5b4caf81e96 2017-02-27 11:25:00\n", + " user_id cart_time\n", + "0 2be90e7c-9cca-44e0-bcc5-124b945ff168 2017-11-07 20:45:00\n", + "1 4397f73f-1da3-4ab3-91af-762792e25973 2017-05-27 01:35:00\n", + "2 a9db3d4b-0a0a-4398-a55a-ebb2c7adf663 2017-03-04 10:38:00\n", + "3 b594862a-36c5-47d5-b818-6e9512b939b3 2017-09-27 08:22:00\n", + "4 a68a16e2-94f0-4ce8-8ce3-784af0bbb974 2017-07-26 15:48:00\n", + " user_id checkout_time\n", + "0 d33bdc47-4afa-45bc-b4e4-dbe948e34c0d 2017-06-25 09:29:00\n", + "1 4ac186f0-9954-4fea-8a27-c081e428e34e 2017-04-07 20:11:00\n", + "2 3c9c78a7-124a-4b77-8d2e-e1926e011e7d 2017-07-13 11:38:00\n", + "3 89fe330a-8966-4756-8f7c-3bdbcd47279a 2017-04-20 16:15:00\n", + "4 3ccdaf69-2d30-40de-b083-51372881aedd 2017-01-08 20:52:00\n", + " user_id purchase_time\n", + "0 4b44ace4-2721-47a0-b24b-15fbfa2abf85 2017-05-11 04:25:00\n", + "1 02e684ae-a448-408f-a9ff-dcb4a5c99aac 2017-09-05 08:45:00\n", + "2 4b4bc391-749e-4b90-ab8f-4f6e3c84d6dc 2017-11-20 20:49:00\n", + "3 a5dbb25f-3c36-4103-9030-9f7c6241cd8d 2017-01-22 15:18:00\n", + "4 46a3186d-7f5a-4ab9-87af-84d05bfd4867 2017-06-11 11:32:00\n" + ] + } + ], + "source": [ + "print(visits.head(5))\n", + "print(cart.head(5))\n", + "print(checkout.head(5))\n", + "print(purchase.head(5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 2: Left merging visits and cart" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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user_idvisit_timecart_time
0943647ef-3682-4750-a2e1-918ba6f161882017-04-07 15:14:00NaT
10c3a3dd0-fb64-4eac-bf84-ba069ce409f22017-01-26 14:24:002017-01-26 14:44:00
26e0b2d60-4027-4d9a-babd-0e7d40859fb12017-08-20 08:23:002017-08-20 08:31:00
36879527e-c5a6-4d14-b2da-50b85212b0ab2017-11-04 18:15:00NaT
4a84327ff-5daa-4ba1-b789-d5b4caf81e962017-02-27 11:25:00NaT
\n", + "
" + ], + "text/plain": [ + " user_id visit_time \\\n", + "0 943647ef-3682-4750-a2e1-918ba6f16188 2017-04-07 15:14:00 \n", + "1 0c3a3dd0-fb64-4eac-bf84-ba069ce409f2 2017-01-26 14:24:00 \n", + "2 6e0b2d60-4027-4d9a-babd-0e7d40859fb1 2017-08-20 08:23:00 \n", + "3 6879527e-c5a6-4d14-b2da-50b85212b0ab 2017-11-04 18:15:00 \n", + "4 a84327ff-5daa-4ba1-b789-d5b4caf81e96 2017-02-27 11:25:00 \n", + "\n", + " cart_time \n", + "0 NaT \n", + "1 2017-01-26 14:44:00 \n", + "2 2017-08-20 08:31:00 \n", + "3 NaT \n", + "4 NaT " + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "visits_cart = visits.merge(cart, how = 'left')\n", + "\n", + "visits_cart.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 3: How long is `visits_cart`?" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2000\n" + ] + } + ], + "source": [ + "total_visits = len(visits_cart)\n", + "\n", + "print(total_visits)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 4: How many timestamps are null for `cart_time`?" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "1652\n" + ] + } + ], + "source": [ + "null_cart_times = len(visits_cart[visits_cart.cart_time.isnull()])\n", + "\n", + "print(null_cart_times)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 5: What percentage only visited?" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.826\n" + ] + } + ], + "source": [ + "visited_not_cart = float(null_cart_times) / float(total_visits)\n", + "\n", + "print(visited_not_cart)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 6: What percentage placed a t-shirt in their cart but did not checkout?" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " user_id cart_time \\\n", + "0 2be90e7c-9cca-44e0-bcc5-124b945ff168 2017-11-07 20:45:00 \n", + "1 4397f73f-1da3-4ab3-91af-762792e25973 2017-05-27 01:35:00 \n", + "2 a9db3d4b-0a0a-4398-a55a-ebb2c7adf663 2017-03-04 10:38:00 \n", + "3 b594862a-36c5-47d5-b818-6e9512b939b3 2017-09-27 08:22:00 \n", + "4 a68a16e2-94f0-4ce8-8ce3-784af0bbb974 2017-07-26 15:48:00 \n", + "\n", + " checkout_time \n", + "0 2017-11-07 21:14:00 \n", + "1 NaT \n", + "2 2017-03-04 11:04:00 \n", + "3 2017-09-27 08:26:00 \n", + "4 NaT \n", + "Cart but not checkout: 0.3505747126436782\n" + ] + } + ], + "source": [ + "cart_checkout = cart.merge(checkout, how = 'left')\n", + "\n", + "print(cart_checkout.head())\n", + "\n", + "null_checkout_times = len(cart_checkout[cart_checkout.checkout_time.isnull()])\n", + "\n", + "cart_not_checkout = float(null_checkout_times) / float(len(cart))\n", + "\n", + "print(\"Cart but not checkout:\", cart_not_checkout)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 7: Merge it all together" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " user_id visit_time \\\n", + "0 943647ef-3682-4750-a2e1-918ba6f16188 2017-04-07 15:14:00 \n", + "1 0c3a3dd0-fb64-4eac-bf84-ba069ce409f2 2017-01-26 14:24:00 \n", + "2 6e0b2d60-4027-4d9a-babd-0e7d40859fb1 2017-08-20 08:23:00 \n", + "3 6879527e-c5a6-4d14-b2da-50b85212b0ab 2017-11-04 18:15:00 \n", + "4 a84327ff-5daa-4ba1-b789-d5b4caf81e96 2017-02-27 11:25:00 \n", + "\n", + " cart_time checkout_time purchase_time \n", + "0 NaT NaT NaT \n", + "1 2017-01-26 14:44:00 2017-01-26 14:54:00 2017-01-26 15:08:00 \n", + "2 2017-08-20 08:31:00 NaT NaT \n", + "3 NaT NaT NaT \n", + "4 NaT NaT NaT \n" + ] + } + ], + "source": [ + "all_data = visits_cart.merge(cart_checkout, how = 'left').merge(purchase, how = 'left')\n", + "\n", + "print(all_data.head(5))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 8: % of users who got to checkout but did not purchase" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "% of users who got to checkout but did not purchase: 0.24550898203592814\n" + ] + } + ], + "source": [ + "reached_checkout = all_data[~all_data.checkout_time.isnull()]\n", + "\n", + "checkout_not_purchase = all_data[(all_data.purchase_time.isnull()) & (~all_data.checkout_time.isnull())]\n", + "\n", + "checkout_not_purchase_percent = float(len(checkout_not_purchase)) / float(len(reached_checkout))\n", + "\n", + "print(\"% of users who got to checkout but did not purchase:\",checkout_not_purchase_percent)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 9: check each part of the funnel, let's print all 3 of them again" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "82.6 percent of users who visited the page did not add a t-shirt to their cart\n", + "35.06 percent of users who added a t-shirt to their cart did not checkout\n", + "24.55 percent of users who made it to checkout did not purchase a shirt\n" + ] + } + ], + "source": [ + "print(\"{} percent of users who visited the page did not add a t-shirt to their cart\".format(round(visited_not_cart*100, 2)))\n", + "print(\"{} percent of users who added a t-shirt to their cart did not checkout\".format(round(cart_not_checkout*100, 2)))\n", + "print(\"{} percent of users who made it to checkout did not purchase a shirt\".format(round( checkout_not_purchase_percent*100, 2)))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "*The weakest part of the funnel is clearly getting a person who visited the site to add a tshirt to their cart. Once they've added a t-shirt to their cart it is fairly likely they end up purchasing it. A suggestion could be to make the add-to-cart button more prominent on the front page.*\n", + "\n", + "\n", + "Step 10: adding new column" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], + "source": [ + "all_data['time_to_purchase'] = all_data.purchase_time - all_data.visit_time" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 11: examine the results" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 NaT\n", + "1 0 days 00:44:00\n", + "2 NaT\n", + "3 NaT\n", + "4 NaT\n", + " ... \n", + "2103 NaT\n", + "2104 NaT\n", + "2105 NaT\n", + "2106 NaT\n", + "2107 NaT\n", + "Name: time_to_purchase, Length: 2108, dtype: timedelta64[ns]\n" + ] + } + ], + "source": [ + "print(all_data.time_to_purchase)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Step 12: average time to purchase" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0 days 00:43:12.380952380\n" + ] + } + ], + "source": [ + "print(all_data.time_to_purchase.mean())" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "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": "3.9.6" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Data Science Foundations II/Page_Visits_Funnel_Project/cart.csv b/Data Science Foundations II/Page_Visits_Funnel_Project/cart.csv new file mode 100644 index 0000000..3c6c605 --- /dev/null +++ b/Data Science Foundations II/Page_Visits_Funnel_Project/cart.csv @@ -0,0 +1,349 @@ 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