{ "cells": [ { "cell_type": "markdown", "metadata": { "id": "DEP20be6-JOy" }, "source": [ "###**The Beauty Wishlist**\n", "\n", "*Understanding Skincare Product Popularity at Sephora*\n", "\n", "**Dataset**: Product_Info.CSV (https://www.kaggle.com/datasets/nadyinky/sephora-products-and-skincare-reviews)\n", "\n", "**Business problem:** A beauty marketing team wants to understand which skincare product characteristics are associated with higher consumer interest.\n", "\n", "**Objective:** Explore product popularity and compare three machine learning models to estimate the number of favorites for skincare products.\n", "\n", "**Target variable:** loves_count — the number of times a product has been marked as a favorite.\n", "\n", "**Business value:** The findings can help the team identify products to investigate for marketing campaigns and visibility tests.\n", "\n", "**Important distinction:** Favorites indicate consumer interest, but they do not directly measure purchases or sales." ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "id": "62YaYx2K-O74" }, "outputs": [], "source": [ "# Import libraries for data analysis and charts\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n" ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "id": "TBzridHd-F9S" }, "outputs": [], "source": [ "# Set the visual style for our storytelling\n", "sns.set_theme(style=\"whitegrid\")\n", "\n", "pink = \"#B86A87\"\n", "purple = \"#AA8DB5\"\n", "\n", "# Make tables easier to read\n", "pd.set_option(\"display.max_columns\", None)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "Xlw75m1m-c0c", "outputId": "338cade7-3688-43ff-b844-212985752296" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " product_id product_name brand_id brand_name \\\n", "0 P473671 Fragrance Discovery Set 6342 19-69 \n", "1 P473668 La Habana Eau de Parfum 6342 19-69 \n", "2 P473662 Rainbow Bar Eau de Parfum 6342 19-69 \n", "3 P473660 Kasbah Eau de Parfum 6342 19-69 \n", "4 P473658 Purple Haze Eau de Parfum 6342 19-69 \n", "5 P473661 Kasbah Eau de Parfum Travel Spray 6342 19-69 \n", "6 P473659 Purple Haze Eau de Parfum Travel Spray 6342 19-69 \n", "7 P473666 Invisible Post Eau de Parfum 6342 19-69 \n", "8 P472300 Capri Eau de Parfum 6342 19-69 \n", "9 P473667 Invisible Post Eau de Parfum Travel Spray 6342 19-69 \n", "\n", " loves_count rating reviews size \\\n", "0 6320 3.6364 11.0 NaN \n", "1 3827 4.1538 13.0 3.4 oz/ 100 mL \n", "2 3253 4.2500 16.0 3.4 oz/ 100 mL \n", "3 3018 4.4762 21.0 3.4 oz/ 100 mL \n", "4 2691 3.2308 13.0 3.4 oz/ 100 mL \n", "5 2448 4.4762 21.0 0.25 oz/ 7.5 mL \n", "6 1619 3.2308 13.0 0.25 oz/ 7.5 mL \n", "7 1542 3.6250 8.0 3.4 oz/ 100 mL \n", "8 1542 3.5714 7.0 3.4 oz/ 100 mL \n", "9 1377 3.6250 8.0 0.25 oz/ 7.5 mL \n", "\n", " variation_type variation_value \\\n", "0 NaN NaN \n", "1 Size + Concentration + Formulation 3.4 oz/ 100 mL \n", "2 Size + Concentration + Formulation 3.4 oz/ 100 mL \n", "3 Size + Concentration + Formulation 3.4 oz/ 100 mL \n", "4 Size + Concentration + Formulation 3.4 oz/ 100 mL \n", "5 Size + Concentration + Formulation 0.25 oz/ 7.5 mL Eau de Parfum Spray \n", "6 Size + Concentration + Formulation 0.25 oz/ 7.5 mL \n", "7 Size + Concentration + Formulation 3.4 oz/ 100 mL \n", "8 Size + Concentration + Formulation 3.4 oz/ 100 mL Eau de Parfum Spray \n", "9 Size + Concentration + Formulation 0.25 oz/ 7.5 mL \n", "\n", " variation_desc ingredients \\\n", "0 NaN ['Capri Eau de Parfum:', 'Alcohol Denat. (SD A... \n", "1 NaN ['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra... \n", "2 NaN ['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra... \n", "3 NaN ['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra... \n", "4 NaN ['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra... \n", "5 NaN ['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra... \n", "6 NaN ['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra... \n", "7 NaN ['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra... \n", "8 NaN ['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra... \n", "9 NaN ['Alcohol Denat. 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product_idproduct_namebrand_idbrand_nameloves_countratingreviewssizevariation_typevariation_valuevariation_descingredientsprice_usdvalue_price_usdsale_price_usdlimited_editionnewonline_onlyout_of_stocksephora_exclusivehighlightsprimary_categorysecondary_categorytertiary_categorychild_countchild_max_pricechild_min_price
0P473671Fragrance Discovery Set634219-6963203.636411.0NaNNaNNaNNaN['Capri Eau de Parfum:', 'Alcohol Denat. (SD A...35.0NaNNaN00100['Unisex/ Genderless Scent', 'Warm &Spicy Scen...FragranceValue & Gift SetsPerfume Gift Sets0NaNNaN
1P473668La Habana Eau de Parfum634219-6938274.153813.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mLNaN['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra...195.0NaNNaN00100['Unisex/ Genderless Scent', 'Layerable Scent'...FragranceWomenPerfume285.030.0
2P473662Rainbow Bar Eau de Parfum634219-6932534.250016.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mLNaN['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra...195.0NaNNaN00100['Unisex/ Genderless Scent', 'Layerable Scent'...FragranceWomenPerfume275.030.0
3P473660Kasbah Eau de Parfum634219-6930184.476221.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mLNaN['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra...195.0NaNNaN00100['Unisex/ Genderless Scent', 'Layerable Scent'...FragranceWomenPerfume275.030.0
4P473658Purple Haze Eau de Parfum634219-6926913.230813.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mLNaN['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra...195.0NaNNaN00100['Unisex/ Genderless Scent', 'Layerable Scent'...FragranceWomenPerfume275.030.0
5P473661Kasbah Eau de Parfum Travel Spray634219-6924484.476221.00.25 oz/ 7.5 mLSize + Concentration + Formulation0.25 oz/ 7.5 mL Eau de Parfum SprayNaN['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra...30.0NaNNaN00100['Warm &Spicy Scent', 'Unisex/ Genderless Scen...FragranceWomenRollerballs & Travel Size0NaNNaN
6P473659Purple Haze Eau de Parfum Travel Spray634219-6916193.230813.00.25 oz/ 7.5 mLSize + Concentration + Formulation0.25 oz/ 7.5 mLNaN['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra...30.0NaNNaN00100['Unisex/ Genderless Scent', 'Layerable Scent'...FragranceWomenRollerballs & Travel Size0NaNNaN
7P473666Invisible Post Eau de Parfum634219-6915423.62508.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mLNaN['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra...195.0NaNNaN00100['Unisex/ Genderless Scent', 'allure 2022 Best...FragranceWomenPerfume275.030.0
8P472300Capri Eau de Parfum634219-6915423.57147.03.4 oz/ 100 mLSize + Concentration + Formulation3.4 oz/ 100 mL Eau de Parfum SprayNaN['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra...195.0NaNNaN00100['Fresh Scent', 'Layerable Scent', 'Unisex/ Ge...FragranceWomenPerfume275.030.0
9P473667Invisible Post Eau de Parfum Travel Spray634219-6913773.62508.00.25 oz/ 7.5 mLSize + Concentration + Formulation0.25 oz/ 7.5 mLNaN['Alcohol Denat. (SD Alcohol 39C), Parfum (Fra...30.0NaNNaN00100['Unisex/ Genderless Scent', 'allure 2022 Best...FragranceWomenRollerballs & Travel Size0NaNNaN
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "df" } }, "metadata": {}, "execution_count": 7 } ], "source": [ "# Load the product_info.csv uploaded through the Files option on the left side.\n", "df = pd.read_csv(\"/content/product_info.csv\")\n", "\n", "# Check the first 10 rows on the dataset\n", "df.head(10)\n" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "id": "HihxGlpzUt9S", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "70610c6b-7988-4b53-ca2f-bc80d1b19a25" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "(8494, 27)" ] }, "metadata": {}, "execution_count": 8 } ], "source": [ "# Number of rows and columns on the dataset\n", "df.shape" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "id": "5ND3V38ouw0M" }, "outputs": [], "source": [ "# Keep only skincare products\n", "skincare = df[df[\"primary_category\"] == \"Skincare\"].copy()\n" ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "id": "15ODxFYJu1-E" }, "outputs": [], "source": [ "# Select the columns used in this project\n", "columns = [\n", " \"product_id\",\n", " \"product_name\",\n", " \"brand_name\",\n", " \"secondary_category\",\n", " \"price_usd\",\n", " \"rating\",\n", " \"reviews\",\n", " \"loves_count\",\n", " \"limited_edition\",\n", " \"sephora_exclusive\",\n", " \"online_only\"\n", "]\n", "\n", "skincare = skincare[columns]\n", "\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "id": "RUt48Xlwu5AE", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "b97cd7e7-c2d8-4601-eb68-21586cebb833" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "(2420, 11)" ] }, "metadata": {}, "execution_count": 11 } ], "source": [ "skincare.shape" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "id": "UhiXD-VdvRTi", "colab": { "base_uri": "https://localhost:8080/", "height": 753 }, "outputId": "73af9664-cbd2-4143-e7a6-6751f25db7ac" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " product_id product_name brand_name \\\n", "89 P439055 GENIUS Sleeping Collagen Moisturizer Algenist \n", "90 P421277 GENIUS Liquid Collagen Serum Algenist \n", "91 P467602 Triple Algae Eye Renewal Balm Eye Cream Algenist \n", "92 P432045 GENIUS Liquid Collagen Lip Treatment Algenist \n", "93 P311143 SUBLIME DEFENSE Ultra Lightweight UV Defense F... Algenist \n", "94 P384537 GENIUS Ultimate Anti-Aging Cream Algenist \n", "95 P388200 GENIUS Ultimate Anti-Aging Melting Cleanser Algenist \n", "96 P296413 Gentle Rejuvenating Cleanser Algenist \n", "97 P500716 10 Day Results Kit Algenist \n", "98 P379907 Advanced Anti-Aging Repairing Oil Algenist \n", "\n", " secondary_category price_usd rating reviews loves_count \\\n", "89 Moisturizers 98.0 4.5413 1321.0 33910 \n", "90 Treatments 115.0 4.0259 1159.0 67870 \n", "91 Eye Care 68.0 4.5306 1142.0 17890 \n", "92 Lip Balms & Treatments 29.0 3.8721 649.0 44448 \n", "93 Sunscreen 28.0 4.4134 508.0 27278 \n", "94 Moisturizers 112.0 4.2525 503.0 19733 \n", "95 Cleansers 38.0 4.0569 334.0 9314 \n", "96 Cleansers 28.0 4.2689 264.0 7681 \n", "97 Value & Gift Sets 88.0 4.8023 258.0 3206 \n", "98 Moisturizers 82.0 4.4531 245.0 10676 \n", "\n", " limited_edition sephora_exclusive online_only \n", "89 0 1 0 \n", "90 0 1 0 \n", "91 0 1 0 \n", "92 0 1 0 \n", "93 0 0 0 \n", "94 0 0 0 \n", "95 0 0 0 \n", "96 0 0 0 \n", "97 0 1 0 \n", "98 0 0 0 " ], "text/html": [ "\n", "
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89P439055GENIUS Sleeping Collagen MoisturizerAlgenistMoisturizers98.04.54131321.033910010
90P421277GENIUS Liquid Collagen SerumAlgenistTreatments115.04.02591159.067870010
91P467602Triple Algae Eye Renewal Balm Eye CreamAlgenistEye Care68.04.53061142.017890010
92P432045GENIUS Liquid Collagen Lip TreatmentAlgenistLip Balms & Treatments29.03.8721649.044448010
93P311143SUBLIME DEFENSE Ultra Lightweight UV Defense F...AlgenistSunscreen28.04.4134508.027278000
94P384537GENIUS Ultimate Anti-Aging CreamAlgenistMoisturizers112.04.2525503.019733000
95P388200GENIUS Ultimate Anti-Aging Melting CleanserAlgenistCleansers38.04.0569334.09314000
96P296413Gentle Rejuvenating CleanserAlgenistCleansers28.04.2689264.07681000
97P50071610 Day Results KitAlgenistValue & Gift Sets88.04.8023258.03206010
98P379907Advanced Anti-Aging Repairing OilAlgenistMoisturizers82.04.4531245.010676000
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "skincare", "summary": "{\n \"name\": \"skincare\",\n \"rows\": 2420,\n \"fields\": [\n {\n \"column\": \"product_id\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 2420,\n \"samples\": [\n \"P505139\",\n \"P435975\",\n \"P412025\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"product_name\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 2401,\n \"samples\": [\n \"Brumisateur Natural Mineral Water Facial Spray Travel Duo\",\n \"The POREfessional Smooth Sip Lightweight Gel-Cream Moisturizer\",\n \"NuFACE Effective Lip & Eye Attachment\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"brand_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 143,\n \"samples\": [\n \"Slip\",\n \"COOLA\",\n \"MACRENE actives\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"secondary_category\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 13,\n \"samples\": [\n \"Self Tanners\",\n \"Wellness\",\n \"Moisturizers\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"price_usd\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 69.74969313616985,\n \"min\": 3.0,\n \"max\": 1900.0,\n \"num_unique_values\": 224,\n \"samples\": [\n 94.0,\n 26.5,\n 310.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"rating\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.4718396272385193,\n \"min\": 1.0,\n \"max\": 5.0,\n \"num_unique_values\": 1672,\n \"samples\": [\n 4.1395,\n 3.5143,\n 4.0647\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"reviews\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 888.5602439419742,\n \"min\": 1.0,\n \"max\": 16118.0,\n \"num_unique_values\": 877,\n \"samples\": [\n 599.0,\n 355.0,\n 428.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"loves_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 56564,\n \"min\": 0,\n \"max\": 1081315,\n \"num_unique_values\": 2315,\n \"samples\": [\n 11380,\n 4569,\n 101158\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"limited_edition\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sephora_exclusive\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 0,\n 1\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"online_only\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 0,\n \"max\": 1,\n \"num_unique_values\": 2,\n \"samples\": [\n 1,\n 0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 12 } ], "source": [ "skincare.head(10)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "id": "s0Cs95A8veZz", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "49cc4891-4013-4cd9-ddad-39ce08f26cee" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\n", "Index: 2420 entries, 89 to 8428\n", "Data columns (total 11 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 product_id 2420 non-null object \n", " 1 product_name 2420 non-null object \n", " 2 brand_name 2420 non-null object \n", " 3 secondary_category 2420 non-null object \n", " 4 price_usd 2420 non-null float64\n", " 5 rating 2351 non-null float64\n", " 6 reviews 2351 non-null float64\n", " 7 loves_count 2420 non-null int64 \n", " 8 limited_edition 2420 non-null int64 \n", " 9 sephora_exclusive 2420 non-null int64 \n", " 10 online_only 2420 non-null int64 \n", "dtypes: float64(3), int64(4), object(4)\n", "memory usage: 226.9+ KB\n" ] } ], "source": [ "# Check column names, data types, and non-missing values\n", "skincare.info()" ] }, { "cell_type": "markdown", "metadata": { "id": "41N495gKddeQ" }, "source": [ "### **Dataset Overview**\n", "We use the product_info.csv file from the Sephora Products and Skincare Reviews dataset on Kaggle.\n", "The original dataset contains 8,494 products and 27 variables. After selecting skincare products and the columns used in this project, our analysis contains 2,420 products and 11 variables. Each row represents one product.\n", "- Numerical variables: price_usd, rating, reviews, and loves_count.\n", "- Categorical variables: brand_name and secondary_category.\n", "- Binary indicators (0 = no, 1 = yes): limited_edition, sephora_exclusive, and online_only.\n", "- Identifiers: product_id and product_name. These are excluded from the prediction models.\n", "- Target variable: loves_count, the number of product favorites.\n", "The same skincare dataset is used in Python and Databricks.\n", "\n", "Source: https://www.kaggle.com/datasets/nadyinky/sephora-products-and-skincare-reviews" ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "id": "o4YkcTLAvgvR", "colab": { "base_uri": "https://localhost:8080/", "height": 424 }, "outputId": "06021900-5900-4727-c82f-1760af5d08e5" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "product_id 0\n", "product_name 0\n", "brand_name 0\n", "secondary_category 0\n", "price_usd 0\n", "rating 69\n", "reviews 69\n", "loves_count 0\n", "limited_edition 0\n", "sephora_exclusive 0\n", "online_only 0\n", "dtype: int64" ], "text/html": [ "
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" ] }, "metadata": {}, "execution_count": 14 } ], "source": [ "# Check missing values in each column\n", "skincare.isnull().sum()" ] }, { "cell_type": "markdown", "metadata": { "id": "EZycu6VZwTH4" }, "source": [ "We have 69 missing values for rating and review. All other columns are complete." ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "id": "5oxoRoUNvo3k", "colab": { "base_uri": "https://localhost:8080/", "height": 297 }, "outputId": "c5c12f7a-11df-4564-b81a-b3877acebda9" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " price_usd rating reviews loves_count limited_edition \\\n", "count 2420.000000 2351.00000 2351.000000 2.420000e+03 2420.000000 \n", "mean 60.512500 4.22889 463.872395 2.711117e+04 0.043388 \n", "std 69.749693 0.47184 888.560244 5.656452e+04 0.203772 \n", "min 3.000000 1.00000 1.000000 0.000000e+00 0.000000 \n", "25% 28.000000 4.00920 36.000000 4.049250e+03 0.000000 \n", "50% 44.000000 4.31110 162.000000 1.007350e+04 0.000000 \n", "75% 70.000000 4.53880 486.000000 2.636375e+04 0.000000 \n", "max 1900.000000 5.00000 16118.000000 1.081315e+06 1.000000 \n", "\n", " sephora_exclusive online_only \n", "count 2420.000000 2420.000000 \n", "mean 0.299587 0.209504 \n", "std 0.458172 0.407039 \n", "min 0.000000 0.000000 \n", "25% 0.000000 0.000000 \n", "50% 0.000000 0.000000 \n", "75% 1.000000 0.000000 \n", "max 1.000000 1.000000 " ], "text/html": [ "\n", "
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"skincare\",\n \"rows\": 8,\n \"fields\": [\n {\n \"column\": \"price_usd\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 988.7222240556249,\n \"min\": 3.0,\n \"max\": 2420.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 60.5125,\n 44.0,\n 2420.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"rating\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 830.0157974211223,\n \"min\": 0.4718396272385193,\n \"max\": 2351.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 4.228890472139515,\n 4.3111,\n 2351.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"reviews\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 5529.4194536416635,\n \"min\": 1.0,\n \"max\": 16118.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 463.87239472564863,\n 162.0,\n 2351.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"loves_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 376377.1880296785,\n \"min\": 0.0,\n \"max\": 1081315.0,\n \"num_unique_values\": 8,\n \"samples\": [\n 27111.168595041323,\n 10073.5,\n 2420.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"limited_edition\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 855.5362826833233,\n \"min\": 0.0,\n \"max\": 2420.0,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.04338842975206612,\n 1.0,\n 0.20377201032890035\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"sephora_exclusive\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 855.4600186996987,\n \"min\": 0.0,\n \"max\": 2420.0,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.29958677685950413,\n 1.0,\n 0.4581716756007465\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"online_only\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 855.5176273065433,\n \"min\": 0.0,\n \"max\": 2420.0,\n \"num_unique_values\": 5,\n \"samples\": [\n 0.20950413223140496,\n 1.0,\n 0.4070388358289033\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 15 } ], "source": [ "# Summary statistics for numerical columns\n", "skincare.describe()" ] }, { "cell_type": "markdown", "metadata": { "id": "HLvQeUxqwmTx" }, "source": [ "The stats table shows a mean **price** of USD 60.51, with a median of USD 44.00 and max of USD 1,900.\n", "\n", "For the **favorites** the mean is approximately 27,111 and median 10,074, suggesting that some very popular products can influence a higher mean.\n", "\n", "**Rating** values are between 1 and 5, which are the expected results." ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "id": "yob9N3g-yrVj", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "c17a5c0f-2cf0-41aa-8074-50592c8c8db9" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "np.int64(0)" ] }, "metadata": {}, "execution_count": 16 } ], "source": [ "# Check duplocated rows\n", "skincare.duplicated().sum()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "id": "R48sqbsFyylo", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "79ce3960-5efb-49c7-9aec-68441c48d174" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "np.int64(0)" ] }, "metadata": {}, "execution_count": 17 } ], "source": [ "# Count repeated product IDs\n", "skincare[\"product_id\"].duplicated().sum()" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "id": "KExQr3hKy_EV", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "9c1a8423-fb3b-4877-c640-18924c80dfa2" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "np.int64(0)" ] }, "metadata": {}, "execution_count": 18 } ], "source": [ "# Check for prices that are U$0 or negative\n", "(skincare[\"price_usd\"] <= 0).sum()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "id": "N9fDyATkzJ1T", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "21ac39df-a8cb-4aba-c114-019864ea94b8" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "np.int64(0)" ] }, "metadata": {}, "execution_count": 19 } ], "source": [ "# Check for negative favorites\n", "(skincare[\"loves_count\"] < 0).sum()" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "id": "CAMTcfckzOEs", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "a01a143e-36ef-413e-f165-025afd8d0d5d" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "np.int64(0)" ] }, "metadata": {}, "execution_count": 20 } ], "source": [ "# Check for negative review counts\n", "(skincare[\"reviews\"] < 0).sum()" ] }, { "cell_type": "code", "execution_count": 21, "metadata": { "id": "n9JYHGtPzSec", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "d54aea54-5c16-4db3-8f6d-34ba032f2aac" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ "np.int64(0)" ] }, "metadata": {}, "execution_count": 21 } ], "source": [ "# Check for any ratings that are outside the 1-5 range\n", "((skincare[\"rating\"] < 1) | (skincare[\"rating\"] > 5)).sum()\n" ] }, { "cell_type": "markdown", "metadata": { "id": "BbiACsqAzqhe" }, "source": [ "No duplicate records, zero or negative prices, negative favorites, or negative review counts were found. All available ratings were between 1 and 5. However, **missing** ratings and review counts still need to be addressed, and unusually high values will be examined next." ] }, { "cell_type": "code", "execution_count": 22, "metadata": { "id": "gXKHhOF8z_iA", "colab": { "base_uri": "https://localhost:8080/", "height": 204 }, "outputId": "9f97cf94-0800-40e9-af97-d958315a6d2e" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " product_name secondary_category \\\n", "6802 Shani Darden by Déesse PRO LED Light Mask High Tech Tools \n", "5556 NuFACE Trinity+ & Effective Lip and Eye Attach... High Tech Tools \n", "2162 DRx SpectraLite BodyWare Pro High Tech Tools \n", "5551 Trinity Facial Toning Device + Wrinkle Reducer... High Tech Tools \n", "3510 Touch Home Permanent Hair Removal Device High Tech Tools \n", "\n", " price_usd \n", "6802 1900.0 \n", "5556 495.0 \n", "2162 465.0 \n", "5551 449.0 \n", "3510 449.0 " ], "text/html": [ "\n", "
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product_namesecondary_categoryprice_usd
6802Shani Darden by Déesse PRO LED Light MaskHigh Tech Tools1900.0
5556NuFACE Trinity+ & Effective Lip and Eye Attach...High Tech Tools495.0
2162DRx SpectraLite BodyWare ProHigh Tech Tools465.0
5551Trinity Facial Toning Device + Wrinkle Reducer...High Tech Tools449.0
3510Touch Home Permanent Hair Removal DeviceHigh Tech Tools449.0
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"product_name\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"NuFACE Trinity+ & Effective Lip and Eye Attachment\",\n \"Touch Home Permanent Hair Removal Device\",\n \"DRx SpectraLite BodyWare Pro\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"secondary_category\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 1,\n \"samples\": [\n \"High Tech Tools\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"price_usd\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 642.2497956402946,\n \"min\": 449.0,\n \"max\": 1900.0,\n \"num_unique_values\": 4,\n \"samples\": [\n 495.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 22 } ], "source": [ "# Show the five most expensive skincare products\n", "skincare.sort_values(\"price_usd\", ascending=False)[\n", " [\"product_name\", \"secondary_category\", \"price_usd\"]\n", "].head(5)" ] }, { "cell_type": "markdown", "metadata": { "id": "6r6al7ry0Nuf" }, "source": [ "The five most expensive products are beauty devices, such as LED masks. This helps explain their high prices. We kept them because a high price does not necessarily mean the data is wrong." ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "id": "r6ZKv1fF0bBf", "colab": { "base_uri": "https://localhost:8080/", "height": 204 }, "outputId": "bce82866-4991-4231-e1fa-7d48c109dafc" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " product_name brand_name \\\n", "4431 Lip Sleeping Mask Intense Hydration with Vitam... LANEIGE \n", "7648 Niacinamide 10% + Zinc 1% Oil Control Serum The Ordinary \n", "7651 Hyaluronic Acid 2% + B5 Hydrating Serum The Ordinary \n", "7653 Glycolic Acid 7% Exfoliating Toning Solution The Ordinary \n", "7652 AHA 30% + BHA 2% Exfoliating Peeling Solution The Ordinary \n", "\n", " loves_count \n", "4431 1081315 \n", "7648 763168 \n", "7651 720504 \n", "7653 542743 \n", "7652 533877 " ], "text/html": [ "\n", "
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4431Lip Sleeping Mask Intense Hydration with Vitam...LANEIGE1081315
7648Niacinamide 10% + Zinc 1% Oil Control SerumThe Ordinary763168
7651Hyaluronic Acid 2% + B5 Hydrating SerumThe Ordinary720504
7653Glycolic Acid 7% Exfoliating Toning SolutionThe Ordinary542743
7652AHA 30% + BHA 2% Exfoliating Peeling SolutionThe Ordinary533877
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"]\",\n \"rows\": 5,\n \"fields\": [\n {\n \"column\": \"product_name\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 5,\n \"samples\": [\n \"Niacinamide 10% + Zinc 1% Oil Control Serum\",\n \"AHA 30% + BHA 2% Exfoliating Peeling Solution\",\n \"Hyaluronic Acid 2% + B5 Hydrating Serum\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"brand_name\",\n \"properties\": {\n \"dtype\": \"category\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"The Ordinary\",\n \"LANEIGE\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"loves_count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 222557,\n \"min\": 533877,\n \"max\": 1081315,\n \"num_unique_values\": 5,\n \"samples\": [\n 763168,\n 533877\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 23 } ], "source": [ "# Show the five most favorited skincare products\n", "skincare.sort_values(\"loves_count\", ascending=False)[\n", " [\"product_name\", \"brand_name\", \"loves_count\"]\n", "].head(5)" ] }, { "cell_type": "markdown", "metadata": { "id": "239-7Ec90i0X" }, "source": [ "The *LANEIGE Lip Sleeping Mask* has the most favorites in this dataset, followed by four products from *The Ordinary*.\n", "We kept these products because a high number of favorites does not necessarily mean the data is wrong.\n", "**Favorites show interest, not actual purchases.**" ] }, { "cell_type": "code", "execution_count": 24, "metadata": { "id": "w-wmce110s5e", "colab": { "base_uri": "https://localhost:8080/", "height": 650 }, "outputId": "2efb1fdb-080b-4163-e21a-c056739d1864" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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2bZoMw9Dvv/+uwYMHq2nTpoqMjNSHH35Y4DXz8vI0ZcoURUZGKjQ0VM8//7x+//13u367d+9W//79dd9996lJkybq3bu3fvrpJ5s++TUdPHhQr7zyipo3b65evXr96XM+cuSI4uLi1KJFCzVp0kRPPPGEvvvuO+v55cuXKzg4WIZh6JNPPlFwcPANb5krrPj4eD355JMKDw9X48aN1a1bN7u9rGJjY9WnTx+7x+bl5alVq1aKi4uztmVlZWny5Mlq3bq1GjZsqIceekjx8fEyDMPmscHBwfrf//1fffPNN+rUqZMaNWqkzZs3W8/lf31nzpypt99+W5LUtm1b63M+evSodayvv/5a3bp1U+PGjdWiRQsNHz7c7uuWmpqqIUOGKDIyUo0aNVJ0dLSGDx+ujIyMW3j1AABAPlY4AQCAYlWzZk116dJFS5cu1YABA0xd5TR8+HAFBgbqlVde0aZNm/TBBx/Iz89Pn3/+ue6//369+uqrWrFihd566y01atRIzZs3t3n8Bx98IIvFogEDBujs2bP66KOP9Mwzz+jrr7+23oKWlJSkAQMGqGHDhnrppZdksVi0fPly9e3bV59++qkaN25sM+bQoUNVp04dDR8+3C50ud6ZM2f05JNPKjs7W3369FGlSpX05ZdfavDgwZoxY4bat2+v5s2b6+2339Zrr71W4G1yN3L58mWdO3fOpq1ChQry8PDQxx9/rDZt2uiRRx5Rbm6uVq5cqaFDh2rOnDl64IEHJEkdO3bUrFmzdPr0aVWrVs06xk8//aRTp04pJiZGkmQYhgYPHqzt27fr8ccfV0hIiDZv3qy3335bJ0+e1KhRo2xq2LZtm1atWqWnnnpKlSpVUo0aNexqb9++vVJTU/Xtt9/q9ddfV6VKlSRJlStXlnTtazZ9+nR17NhRjz/+uM6dO6fFixfrqaee0ldffSUfHx/l5OSof//+ysnJUe/evVW1alWdPHlS3333ndLT01WxYsVCvY4AAOBPGAAAAMVg2bJlRlBQkPHzzz8bv/32m1G/fn3jb3/7m/V87969jU6dOlmPjxw5YgQFBRnLli2zGysoKMiYMWOG9XjGjBlGUFCQMWbMGGvblStXjOjoaCM4ONiYM2eOtT0tLc1o3LixMWLECGvbtm3bjKCgIKNVq1ZGRkaGtT0hIcEICgoyPvroI8MwDCMvL8/o0KGD0a9fPyMvL8/aLzs722jTpo3x7LPP2tX08ssvF+r1+fvf/24EBQUZP/74o7UtMzPTaNOmjfHggw8aV69etXn+EyZMKNS4QUFBBf7Jf12zs7Nt+ufk5BixsbHG008/bW1LTk42goKCjEWLFtn0HT9+vBEaGmodY926dUZQUJDx/vvv2/QbMmSIERwcbBw+fNimrnvvvdc4cOBAgTVf//WdP3++ERQUZBw5csSm39GjR42QkBDjgw8+sGnfv3+/Ub9+fWv73r17jaCgIGPVqlV//mIBAACHcUsdAAAodrVq1VLnzp21dOlSnTp1yrRxH3/8ceu/3d3d1bBhQxmGYdPu4+Mjf39/HTlyxO7xjz76qCpUqGA9fvjhh1WtWjVt2rRJkrRv3z6lpqbqkUce0fnz53Xu3DmdO3dOWVlZioiI0I8//qi8vDybMZ988slC1b5p0yY1btxYzZo1s7aVL19ePXr00LFjx3Tw4MHCvQgFaNu2rRYsWGDzJyoqSpLt5uFpaWnKyMjQfffdp71791rb/f39FRISooSEBGvb1atXtWbNGrVp08Y6RmJiotzd3e1uv+vXr58Mw1BiYqJNe/PmzVWvXj2Hn9e6deuUl5enjh07Wr8W586dU9WqVVWnTh1t375dkqxf0y1btig7O9vh6wEAgBvjljoAAFAivPDCC/rmm280d+5cjR492pQx7777bpvjihUrytPT03r71fXtFy5csHt8nTp1bI4tFovq1KmjY8eOSbq2D5AkjRgx4oY1ZGRkyNfX13pcs2bNQtV+/PhxNWnSxK49ICDAej4oKKhQY/3RnXfeqZYtWxZ4buPGjfrggw+0b98+5eTkWNstFotNv5iYGE2ZMkUnT55U9erV9cMPP+js2bPq2LGjtc+xY8d0xx132IR2khQYGGg9f73CvjY3kpqaKsMw1KFDhwLPlylz7VffWrVq6dlnn9WCBQu0YsUKNWvWTG3atFHnzp25nQ4AAJMQOAEAgBLh+lVOAwcOtDv/x8Aj39WrV284ppub/WJud3f3Avsaf7Kf0o3kP+a1115TSEhIgX3++Cl0JfkT13bs2KHBgwerefPmGjdunKpVq6ayZctq2bJl+vbbb236duzYUe+++65WrVqlZ555RqtWrVLFihUVHR3t8PWvX13liLy8PFksFs2bN6/Ar/P1X4uRI0eqa9eu2rBhg7Zu3ao333xTc+bM0dKlS3XnnXfeUh0AAIDACQAAlCCDBw/WN998U+An1uWvEkpPT7dpP378eJHVc/jwYZtjwzB0+PBh6yfB1apVS9K1W7RutGLIUXfffbdSUlLs2pOTk63nzbZmzRp5enoqPj5eHh4e1vZly5bZ9a1Vq5YaN26sVatWqXfv3lq7dq3atWtn87gaNWooKSlJmZmZNquc8p9DQZuCF8aNwsfatWvLMAzVrFlT/v7+fzlO/ifcvfDCC9q5c6d69uypzz77TMOHD3eoLgAA8H/YwwkAAJQYtWvXVufOnbVkyRKdPn3a5lyFChVUqVIl7dixw6b9008/LbJ6vvrqK2VmZlqPV69erdOnT1tX8TRs2FC1a9fWhx9+qIsXL9o9/o+fBHczWrdurZ9//lm7du2ytmVlZWnp0qWqUaPGLe11dCPu7u6yWCw2q8aOHj2qDRs2FNg/JiZG//73v7Vs2TKdP3/e5nY6SYqOjtbVq1f1ySef2LQvXLhQFovF4dVQXl5ekq7drni9Dh06yN3dXbNmzbJbsWYYhs6fPy9JyszM1JUrV2zOBwUFyc3NzeY2QgAA4DhWOAEAgBLl+eef19dff62UlBTdc889Nue6d++uuXPn6o033lDDhg21Y8eOAlcBmcXX11e9evVSt27ddPbsWX300UeqU6eOnnjiCUnXbtl78803NWDAAMXGxqpbt26qXr26Tp48qe3bt6tChQqaPXu2Q9ceOHCgVq5cqQEDBqhPnz7y9fXVV199paNHj2rmzJkF3i54q1q3bq0FCxboueeeU2xsrM6ePatPP/1UtWvX1v79++36d+zYUW+99Zbeeust+fn52a3yatOmjcLDwzV16lQdO3ZMwcHB2rp1qzZs2KC+ffuqdu3aDtXZoEEDSdLUqVMVExOjsmXL6sEHH1Tt2rU1bNgwvfvuuzp27JjatWun8uXL6+jRo1q/fr2eeOIJ9e/fX9u2bdP//u//6uGHH1bdunV19epVff3113J3d9dDDz3kUE0AAMAWgRMAAChR6tSpo86dO+vLL7+0O/fiiy/q3LlzWrNmjVatWqXo6GjNnz9fERERRVLL888/r/3792vu3Lm6ePGiIiIiNG7cOOsKG0kKDw/XkiVL9P7772vx4sXKyspStWrV1LhxY/Xo0cPha1etWlWff/65/vGPf2jx4sW6fPmygoODNXv2bD3wwAMmPDt7ERER+vvf/6558+Zp4sSJqlmzpl599VUdO3aswMDpzjvvVFhYmHbu3Knu3burbNmyNufd3Nz0wQcfaMaMGUpISNDy5ctVo0YNvfbaa+rXr5/DdTZu3FhDhw7V559/rs2bNysvL08bNmyQt7e3Bg4cqLp162rhwoV67733rHVGRkaqTZs2kq7dShcVFaWNGzfq5MmT8vLyUnBwsObNm6fQ0FCH6wIAAP/HYjiyQyYAAAAAAABwA+zhBAAAAAAAAFMROAEAAAAAAMBUBE4AAAAAAAAwFYETAAAAAAAATEXgBAAAAAAAAFMROAEAAAAAAMBUBE4AAAAAAAAwFYETAAAAAAAATEXgBAAAAAAAAFMROAEAAAAAAMBUBE4AAAAAAAAwFYETAAAAAAAATEXgBAAAAAAAAFP9P4bpVjGqDToqAAAAAElFTkSuQmCC\n" }, "metadata": {} } ], "source": [ "# Show the distribution of product favorites\n", "plt.figure(figsize=(14, 7))\n", "\n", "sns.histplot(\n", " data=skincare,\n", " x=\"loves_count\",\n", " bins=40,\n", " color=\"#B86A87\"\n", ")\n", "\n", "plt.title(\"Distribution of Product Favorites\")\n", "plt.xlabel(\"Number of Favorites\")\n", "plt.ylabel(\"Number of Products\")\n", "plt.ticklabel_format(style=\"plain\", axis=\"x\")\n", "\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "X0jH2UM41SyE" }, "source": [ "Most products have fewer favorites, while a few have many more. These products raise the average. This shows that some products get much more attention than others." ] }, { "cell_type": "code", "execution_count": 25, "metadata": { "id": "KJ2GSrlr1fqq", "colab": { "base_uri": "https://localhost:8080/", "height": 801 }, "outputId": "3e7757a8-791e-46d3-bac8-cc0c6e36bd7c" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# Compare favorites across skincare categories\n", "plt.figure(figsize=(12, 8))\n", "\n", "sns.boxplot(\n", " data=skincare,\n", " x=\"loves_count\",\n", " y=\"secondary_category\",\n", " color=\"#AA8DB5\"\n", ")\n", "\n", "plt.title(\"Product Favorites by Skincare Category\")\n", "plt.xlabel(\"Number of Favorites\")\n", "plt.ylabel(\"Skincare Category\")\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 26, "metadata": { "id": "Tec8UQME1sDh", "colab": { "base_uri": "https://localhost:8080/", "height": 901 }, "outputId": "2991c9f8-3ac3-444c-f5ec-ae52cda6b258" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} } ], "source": [ "# Zoom in to compare the boxes more easily\n", "plt.figure(figsize=(14, 10))\n", "\n", "sns.boxplot(\n", " data=skincare,\n", " x=\"loves_count\",\n", " y=\"secondary_category\",\n", " color=\"#AA8DB5\"\n", ")\n", "\n", "plt.xlim(0, 100000)\n", "\n", "plt.title(\"Product Favorites by Category — Zoom: 0–100,000\", fontsize=16)\n", "plt.xlabel(\"Number of Favorites\", fontsize=13)\n", "plt.ylabel(\"Skincare Category\", fontsize=13)\n", "plt.xticks(fontsize=11)\n", "plt.yticks(fontsize=12)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "xJB5glss18KA" }, "source": [ "Lip Balms & Treatments has the **highest median number of favorites.** This suggests that products in this category tend to attract more consumer interest.\n", "\n", "Favorites also vary within each category, so not every product is equally popular.\n", "\n", "This chart zooms in on 0–100,000 favorites since the first graph was difficult to read. However, products above this range are still included in the calculations." ] }, { "cell_type": "code", "execution_count": 27, "metadata": { "id": "bYYmDS7k2Pck", "colab": { "base_uri": "https://localhost:8080/", "height": 483 }, "outputId": "1afdb29e-f398-431b-8135-f3028ca1d1e6" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " count median\n", "secondary_category \n", "Lip Balms & Treatments 61 26121.0\n", "Eye Care 186 13555.0\n", "Masks 166 13414.5\n", "Mini Size 112 11926.0\n", "Treatments 466 11726.0\n", "Cleansers 361 9931.0\n", "Sunscreen 108 9918.0\n", "Self Tanners 53 9236.0\n", "Moisturizers 551 8788.0\n", "Wellness 79 7684.0\n", "High Tech Tools 80 5768.0\n", "Value & Gift Sets 196 5760.5\n", "Shop by Concern 1 0.0" ], "text/html": [ "\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", " \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", "
countmedian
secondary_category
Lip Balms & Treatments6126121.0
Eye Care18613555.0
Masks16613414.5
Mini Size11211926.0
Treatments46611726.0
Cleansers3619931.0
Sunscreen1089918.0
Self Tanners539236.0
Moisturizers5518788.0
Wellness797684.0
High Tech Tools805768.0
Value & Gift Sets1965760.5
Shop by Concern10.0
\n", "
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\n", "\n", "
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \")\",\n \"rows\": 13,\n \"fields\": [\n {\n \"column\": \"secondary_category\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 13,\n \"samples\": [\n \"Value & Gift Sets\",\n \"Wellness\",\n \"Lip Balms & Treatments\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"count\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 169,\n \"min\": 1,\n \"max\": 551,\n \"num_unique_values\": 13,\n \"samples\": [\n 196,\n 79,\n 61\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"median\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 6007.328820773625,\n \"min\": 0.0,\n \"max\": 26121.0,\n \"num_unique_values\": 13,\n \"samples\": [\n 5760.5,\n 7684.0,\n 26121.0\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 27 } ], "source": [ "# Compare product counts and median favorites by category\n", "skincare.groupby(\"secondary_category\")[\"loves_count\"].agg(\n", " [\"count\", \"median\"]\n", ").sort_values(\"median\", ascending=False)" ] }, { "cell_type": "markdown", "metadata": { "id": "I1ULElwe2WGc" }, "source": [ "Lip Balms & Treatments has the highest median, with 26,121 favorites across 61 products. Eye Care and Masks come next. Shop by Concern has only one product, so it is not enough to draw conclusions about the category." ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "id": "GdblmMys2czN", "colab": { "base_uri": "https://localhost:8080/", "height": 632 }, "outputId": "0a36d099-60c2-456e-d5f4-27a6fef5ac63" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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}, "metadata": {} } ], "source": [ "# Compare product prices and favorites\n", "plt.figure(figsize=(14, 7))\n", "\n", "sns.scatterplot(\n", " data=skincare,\n", " x=\"price_usd\",\n", " y=\"loves_count\",\n", " color=\"#B86A87\",\n", " alpha=0.5\n", ")\n", "\n", "plt.title(\"Are More Expensive Products More Popular?\")\n", "plt.xlabel(\"Price in USD\")\n", "plt.ylabel(\"Number of Favorites\")\n", "plt.ticklabel_format(style=\"plain\", axis=\"both\")\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "l27bbYwE2cG6" }, "source": [ "More expensive products do not necessarily have more favorites. The products with the most favorites have lower prices, but many lower-priced products also have few favorites. Price alone does not explain product popularity.\n" ] }, { "cell_type": "code", "execution_count": 29, "metadata": { "id": "An9OhW-f23C9", "colab": { "base_uri": "https://localhost:8080/", "height": 632 }, "outputId": "2a31b75d-cfe4-44ac-dfcd-03071fd3dc62" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ], "source": [ "# Zoom in on product prices up to $500\n", "plt.figure(figsize=(14, 7))\n", "\n", "sns.scatterplot(\n", " data=skincare,\n", " x=\"price_usd\",\n", " y=\"loves_count\",\n", " color=\"#B86A87\",\n", " alpha=0.5\n", ")\n", "\n", "plt.xlim(0, 500)\n", "\n", "plt.title(\"Price vs. Favorites — Zoom: Prices up to $500\")\n", "plt.xlabel(\"Price in USD\")\n", "plt.ylabel(\"Number of Favorites\")\n", "plt.ticklabel_format(style=\"plain\", axis=\"both\")\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "-8_QbTAi27Wz" }, "source": [ "This is the same graph but with products from US0 - US500, since the only product above this price is the US1.900 LED Mask. This makes it easier to analyze the graph" ] }, { "cell_type": "code", "execution_count": 30, "metadata": { "id": "6ltGqYcR3sb1" }, "outputs": [], "source": [ "numeric_columns = skincare.select_dtypes(include=['float64', 'int64']).columns\n", "\n", "correlation = skincare[numeric_columns].corr()" ] }, { "cell_type": "code", "execution_count": 31, "metadata": { "id": "icG7edVq3V9Y", "colab": { "base_uri": "https://localhost:8080/", "height": 901 }, "outputId": "931cf950-7846-402e-80eb-322c1eb039e0" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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9TfLnzZtHjZvwDfzLsmPnDh07flwTvh6v+nXrSZLq16uvZq1aaMasmfr6q8RfnL+b/50ePnyoH5YsU44cOSRJxXx81aNPL63bsE5t3mhjVmbOd3OVIUNGlStbTrv37kn+Rr2mtu/aqWMnjuubseNUv46hLxvUq6emrVtq+pxZGjdqTKLlv/t+nh4+DNeKxcuUI7uhL329fdSjX2+t3bBebd9obZLf26uomjW2PJMG/42xL8c80Zd166lpmyT25YK4vlz0RF/6xPXlxvVq28rQlzExMRry+VB55vPUvBlz5ODg8GIb9poJCAlQ1Q9LKCg0UL55i2vV0K1JLtugTFOVLlhOA2Z217Y/N0mSthxZr62jDuj95oM1+LvHsyk+bjtcZ2/8pa6T3jbOmLkfHqaejfpr0a55unT77+Rt2GvotN857dq2X30GdtY7nQzfHDdsWlud2vbTzMkLNGvh+ATLVq1RQVv3V1aGjBm0bNHqpwZo3LO6qkGTWslafzzmd/K0tm/dqQED+6nju+9IMoxp27XpoCmTpmv+ojkJlo0f0y5c8p1xTFulakW1a9NRSxctV9/+vYx5v/pynNKlTauFS+eZfRkJwFyK2SR49erV8vLyUnBwsCTp+vXr8vLy0tq1azV8+HCVLVtWlSpV0vfffy9J2rRpkxo0aKDSpUurX79+xmO0JMMSJy8vL508aZga6+XlJUkaN26cvLy85OXlpcOHD0sybKY0b948NWjQQL6+vqpTp44WLFhgVr+dO3eqYcOGKlasmNq0aaMTJ048cxsjIyM1ceJE1apVS76+vmrUqJE2bNhglm/lypWqXbu2SpQooXfffVdXrlwxy1O7dm198cUXkgzLmNasWaPz588b2/fJJ58YrzVt2tSk7NmzZ9W1a1eVLFlSZcqUUf/+/XXz5k2TPF5eXpo7d66mTp2qypUrq0KFChoyZEiqn42za+cepU2bVm+0bmlMs7e3V4uWzXTihJ9u3074m9ZdO3fLx6eo8Y1Mkjw986lc+bLascPyMXPh4eGKiIhItvojYTt27VSWLFlUt/bjyLqri6sa1KuvPfv2KjIyMtHyO3fvUvVq1YzBGUmqWKGi8ubNq207dpjlv3L1ihYvW6KPBn2otGnTJl9DoB27dyqLaxbVrfWvvqxbX3uT0Jc79sT1ZfbHfVmpQkXl88irbTu3Wyzz4OFDRUVFJU8DYJRoX+5PYl9W/Vdfljfvy4OHf9XfF/5Wr2495ODgoIfhDxUdzZKY5BL1KFJBoYHPVbZBmSYKDAnQ9qObjWl37wdr65ENql2ygWzT2UmSCuQopEI5vbRy/xKT5UzL9yxUmjRp1KAMQdTksHfnL0qbNo1avPH4CyR7ezs1bVFPfifOyP92wv3s6JRZGTJmeKbHi4qK0sOH4c9dXyQsfkzbqnULY1rSx7R75P2vMW0+z3wqV76MyZj28qXLOvjLr+r47jtydnZSRESEHkU9ejENwlNZe1Nga20SnNKkmABNQiZPniwHBwd9++23atiwocaOHatvvvlGixYt0kcffaThw4fr0KFDGj8+4Yj+ihUrJEkdO3bUihUrtGLFCvn4GKZojh49WlOmTFHLli01Z84ctWrVShMmTNDy5cuN5f/66y/1799f+fLl07Rp09SqVSt98MEHTx04/tuAAQO0YsUKde7cWbNnz1a1atX00Ucfad++fcY8e/bs0bBhw1ShQgVNmzZNlSpV0oABAxK9b58+fVSjRg3lyZPH2L4+ffpYzHvr1i116NBBd+/e1fjx4zVy5EidOnVKHTp00P37903yLl26VJcvX9bYsWPVt29fbdiwQTNmzHimNqc0Z8+ck0fePMqUKaNJum/cG9S5s+cslouJidH58xdU1Nt8zwQf36K6fu2G/vnnH5P0Des3q2ql2qpcoabavPG2tmzeZlYWyefM2TMqWqSI0qQxfVn09fFVeHi4LlsIhMbzD/BXcHCwxZlrxXx8debsGbP0cRPGq1zZcqpWtZrZNfw3CfVlMR8fPQwP1+WrifVlgIKDg+VT1LwvfX18debcWbP0md/NVoXqlVWmSgW91am9Dh5iL6HkcuZcAn3pnQx9+cQ05kO/Gb6UsbO1U7tO76h89coqV72SPvrsfwoJCUmm1uB5FM3jq9NXT5oN5k9cPqYM9hnkmc1wPGpRD19Jkt/l4yb5AkL8dSv4przz+L6cCqdy585cVB6PXMqYyTTQUtTXsAT7/NlLloo9lz9+P6G6ldqoXuW2atO4q1YuW//0QkiyhMa0PsYx7XmL5WJiYvT3+Qvy9jY/atjH19tkTHv48BFJkmsWV/Xu8b6qVKilKhVrqX/fQbp541ZyNgdINVLMEqeElCxZUp9+athgqmLFitq+fbuWLFmi3bt3y8XFRZJhRsiqVav05ZdfJngPScqRI4fJ0qerV69qyZIlGjlypNq1aydJqly5ssLDwzV9+nS1a9dOadKk0Zw5c5QjRw5Nnz7d+E24vb29PvvssyS349ChQ9q9e7fmzZunqlUNexlUqVJFgYGBmjp1qmrUqCFJmjlzpsqWLasxYwzTuqtVq6aIiIhEAyPxO0zfvHnzqUu7FixYoEePHmn+/PlydnaWJBUtWlRNmjTRmjVr1LFjR2Ned3d3ffPNN5Kk6tWr6/Tp09q2bZsGDx6c5HanNEFBd+TmlsUs3c3NTZIUGBhksVxISKgiIyPl5p542YwZDW+SJUoUU936dZQrV04FBgZq5YqfNPTTEbp//x+1ffON5GoOnhAYFKQypcuYpbsb+ydQhQsVslg2KCgoLq+72TU3NzeFhIQoMjJSdnaGb3r3/7xfvx46pB9/WJFc1ccTAoOCVKaU+X5ibk/2ZcGE+tLw7W98vz/J/V99mSaNjSpXrKQ6NWspq3tWXb9xQ4uWLVbvAf009ZvJqk7w7T8LDApSmZIvoC+zuCkk9HFfXrl2VZI0+NP/qUqlyur2XhedPX9O8xZ8r9v+/lo093vZ2NgkV7PwDNydsunI+cNm6YH3DN/uZ3XOpnM3ziirk2Gj2cAQ841lA0P8ldXZfCNaPLs7QcHK4u5ilp7FzZAWFHgnWR6nQKF8Kl7KWx55cykkJExb1u/SlPFzFRQYrD4D3kuWx3jdBQUFJTCmNaQlNKYNNY5pzV9bnyybMWNGXbtyTZI0+suv5eNTVGO+/lK3b/tr7uz56tOrv35YuVgO6VlSCjwpxc+gqVLl8UZzadOmVZ48eVSkSBFjcEaS8uXLp9DQULMZCk9z8OBBSVL9+vX16NEj40/lypUVGBioW7cMkd/jx4+rVq1aJssUGjZ8tr1DfvnlFzk7O6tixYpmj/XXX38pOjpa0dHROnXqlOrVq2dStkGDBs/0WIk5cuSIKlSoYAzOSFKBAgVUpEgR/fHHHyZ5K1eubPJ7gQIFdPv27WSry6soPCJCdrZ2Zul29oa0iHDLy5HilylZKmtvoez8hXP0Tvt2qlGzmtq0fUNLly9QgYL5NX3qLIWHM9X3RYiIiLC4ka+dnX3c9YT/7uHG/jUvbx9XPjyufFRUlMZPnKC2bdqoQP4CZvnx30Uk8Dx93BcJLxuMv2Zr6XkeF2CLz5Mjew7NnjpDb7Zuq5rVa6jD2+/oxyU/yMXZReMnT/zP7UBcX9q9gL60N+3Lhw8eSpJ8vL019ovRqle7rvr17KO+vXrr2InjOvS7eYAAL4eDnYMio8z7OeKRIc3eNn3cfw0f8iIfWcgbFSF7OzZjTw4REZGW3yvjnlOREc82ezwhX387TO3fa61qtSqqact6mjZvjMpXLq0VS9YqwN9y4ADPxjDuefYx7ePXVkv/DuxNyj54aHhtzZLFVZOnTlC9BnXU8d139Nnw/+n6tRvausXysmG8IDGxr9YPLErxAZrMmTOb/G5ra2t20lP8C8iz7uVx9+5dxcbGqmLFivLx8TH+dO7cWZKMAZrAwEBlyWIagc6UKZPs416kkvpY9+7dM3kcHx8fDR06VI8ePVJgYKCCg4P16NEjs82S3Sx8O/i8QkNDLd4vS5YsZtO8Lf2dn3VZV0rjYG+vyCjzNsYPSOwdLPd5/L8FS2UjnlJWMvxt273VRmFhYfrrL/MlFki6qKgoBQUFmfxER0fL3t7e4h4ikZFxHwLsE/6Gx8HYv+blI+LKO8SVX7x0ie7eu6c+PXub5cWzSawvLT7XjH2R8HMt/lqUped53OtbYuWdnJzUsllzXb5ymdN/nkGifWnhfeU/92WEaV/Gv0Y3/tfR6E0aGE7SO3bCdNkMXp7wyHDZ2Zr3s326uA+CUQ/j/msIgtuls5DX1l4RkQ9fYC1fH/b2dpbfK+OeU/Ef7pObjY2N2rVvoehH0Tp6xPx4dTw7w7jn2ce0j19bLf07iDApG//aWq9+HZOlqnXr1VbadGl1/Dh9Cfxbil/i9CI5OTnJxsZGy5Ytsxgl9vT0lGRY6nPnjumUzvv37z9TQMjJyUmurq6aM8fyjumurq5Kmzat0qVLZ9woOV788ork4OTkZNYWSbpz547y5cuXbI+TUrm5ZVFAoPkGeMYlLhame0qSk5Oj7OzsLE79fVrZeNmyGaZnh4aEJpoPiTt2/Ji69uxukrZlwya5u7kpMMi8bwON/WO+fCmecbmFhfJBQUFycnKSnZ2dwsLCNGfeXLVr+6bu/3Nf9/8x7Ov04OFDxcbG6sbNG3JwSK8syXRiXWp37MRxdell2pdb18X3pfnrYlCS+tJwzVL5wCf6MjHZs2WXJIWEhih7NpZVJMWxE8fVpfe/+nJtXF/eeQF9eSdITo6P+zL+PllcTb9scXUxPBdDQ8OS2hQks8AQf7k7ZTVLd49bshQQt9QpIMTwX3enrLp91/RgA3enbDp56egLrunrIYubq4ICLIwTg+5KksWl3MklazbDe21oCM/H5ODm5qZAi2NaQ/8mNC51NI5pLb02m5aN/69rFtNxTdq0aeXs5KQwXlsBMwRo4tja2poFVCpVqiRJunfvnmrXrp1g2eL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\n" }, "metadata": {} } ], "source": [ "# Create the heatmap\n", "plt.figure(figsize=(12, 9))\n", "\n", "sns.heatmap(\n", " correlation,\n", " annot=True,\n", " fmt=\".2f\",\n", " cmap=\"PiYG\",\n", " vmin=-1,\n", " vmax=1,\n", " center=0\n", ")\n", "\n", "plt.title(\"Correlations Between Skincare Product Characteristics\")\n", "plt.xticks(rotation=45, ha=\"right\")\n", "plt.yticks(rotation=0)\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "fwm0Gq4b4SBu" }, "source": [ "**Strongest positive correlation:** Reviews and favorites (0.72). Products with more reviews tend to have more favorites.\n", "\n", "**Strongest negative correlation:** Online-only status and favorites (−0.15). Online-only products tend to have fewer favorites, but this relationship is weak.\n", "\n", "**Little or no linear relationship:** Rating and favorites (0.01). A higher rating does not necessarily mean more favorites. **Price also has a weak relationship with favorites (−0.11).**\n", "\n", "Correlation does not imply causation, which means that this does not prove that getting more reviews causes more favorites. Products that have been available for a longer time may have had more time to collect more reviews and favorites." ] }, { "cell_type": "markdown", "metadata": { "id": "6u91UieY6eYQ" }, "source": [ "**Preparing Data for Machine Learning**\n", "\n", "We will use product information, such as price, brand, and reviews, to predict the number of favorites.\n", "\n", "- Predictors (X): Information used to make predictions.\n", "- Target (y): Number of favorites (loves_count)." ] }, { "cell_type": "code", "execution_count": 32, "metadata": { "id": "n1fs9cwA3iZg" }, "outputs": [], "source": [ "# Select the predictors\n", "X = skincare[\n", " [\n", " \"price_usd\",\n", " \"rating\",\n", " \"reviews\",\n", " \"brand_name\",\n", " \"secondary_category\",\n", " \"limited_edition\",\n", " \"sephora_exclusive\",\n", " \"online_only\"\n", " ]\n", "].copy()\n", "\n", "# Select the target\n", "y = skincare[\"loves_count\"].copy()\n", "# I used .copy() to create a copy so we can keep working on it without changing the original table\n", "# Product_id and Product_name where not used because they only identify the products\n" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "id": "7mCeKusK7pDf", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "0d8f507f-ae2c-4b5d-95b1-fbcad0fb7fff" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Training products: 1936\n", "Test products: 484\n" ] } ], "source": [ "# Split the data into training and test sets\n", "#20% test\n", "#80% train\n", "from sklearn.model_selection import train_test_split\n", "\n", "X_train, X_test, y_train, y_test = train_test_split(\n", " X,\n", " y,\n", " test_size=0.20,\n", " random_state=42\n", ")\n", "\n", "print(\"Training products:\", len(X_train))\n", "print(\"Test products:\", len(X_test))" ] }, { "cell_type": "code", "execution_count": 34, "metadata": { "id": "h1q1cRb08Eto", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "e2628731-3746-4518-a840-6ee6d8f6eab3" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Missing training values: 0\n", "Missing test values: 0\n" ] } ], "source": [ "# Create copies to prepare the data\n", "X_train_ready = X_train.copy()\n", "X_test_ready = X_test.copy()\n", "\n", "# Calculate medians using only the training data\n", "rating_median = X_train[\"rating\"].median()\n", "reviews_median = X_train[\"reviews\"].median()\n", "\n", "# Fill missing ratings\n", "X_train_ready[\"rating\"] = X_train_ready[\"rating\"].fillna(rating_median)\n", "X_test_ready[\"rating\"] = X_test_ready[\"rating\"].fillna(rating_median)\n", "\n", "# Fill missing review counts\n", "X_train_ready[\"reviews\"] = X_train_ready[\"reviews\"].fillna(reviews_median)\n", "X_test_ready[\"reviews\"] = X_test_ready[\"reviews\"].fillna(reviews_median)\n", "\n", "# Check for remaining missing values\n", "print(\"Missing training values:\", X_train_ready.isnull().sum().sum())\n", "print(\"Missing test values:\", X_test_ready.isnull().sum().sum())" ] }, { "cell_type": "markdown", "metadata": { "id": "CfjxFRb7eujK" }, "source": [ "Missing ratings and review counts were replaced with the median calculated from the training data. The median is less affected by extreme values than the mean. We applied the same training medians to the test data to avoid using information from the test set during preparation.\n", "\n", "The original skincare table was kept unchanged for exploratory analysis and the Databricks export." ] }, { "cell_type": "markdown", "metadata": { "id": "EICrzbKy9L6k" }, "source": [ "Since the models need numbers instead of text, we used one-hot encoding to turn brand and product category into columns with values of 0 or 1.\n", "\n", "This will allow the models to use these details without treating one brand or category as higher than another." ] }, { "cell_type": "code", "execution_count": 35, "metadata": { "id": "x9Mgz7zi9ZEb", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "1e6b1e2f-ff11-4c45-a781-b787b547b0e7" }, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.13/dist-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [0] during transform. These unknown categories will be encoded as all zeros\n", " warnings.warn(\n" ] } ], "source": [ "# Import the encoder\n", "from sklearn.preprocessing import OneHotEncoder\n", "\n", "# Select categorical columns\n", "categorical_columns = [\"brand_name\", \"secondary_category\"]\n", "\n", "# Set up one-hot encoding\n", "encoder = OneHotEncoder(\n", " drop=\"first\",\n", " handle_unknown=\"ignore\", # allow to handle new categories in the test data without stopping, this categories receive zeros in the corresponding colums\n", " sparse_output=False\n", ")\n", "\n", "# Learn categories from training data and convert them to numbers\n", "train_categories = encoder.fit_transform( #learns the categories from the training data and converts them into numbers\n", " X_train_ready[categorical_columns]\n", ")\n", "\n", "# Apply the same encoding to test data\n", "test_categories = encoder.transform( # applies the same conversion to the test data\n", " X_test_ready[categorical_columns]\n", ")\n" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "id": "GPZBL1A--P94", "colab": { "base_uri": "https://localhost:8080/", "height": 309 }, "outputId": "7ec5ac60-5c48-4133-c6d1-a28faea4c42f" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Training shape: (1936, 155)\n", "Test shape: (484, 155)\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ " price_usd rating reviews limited_edition sephora_exclusive \\\n", "6083 44.0 4.2702 459.0 0 0 \n", "5759 49.0 4.0519 501.0 0 0 \n", "2157 18.0 2.8824 17.0 0 0 \n", "4865 22.0 3.8387 62.0 0 0 \n", "6053 19.0 4.7073 82.0 0 0 \n", "\n", " online_only brand_name_Alpha-H brand_name_Anastasia Beverly Hills \\\n", "6083 0 0.0 0.0 \n", "5759 1 0.0 0.0 \n", "2157 0 0.0 0.0 \n", "4865 0 0.0 0.0 \n", "6053 0 0.0 0.0 \n", "\n", " brand_name_Augustinus Bader brand_name_BeautyBio \\\n", "6083 0.0 0.0 \n", "5759 0.0 0.0 \n", "2157 0.0 0.0 \n", "4865 0.0 0.0 \n", "6053 0.0 0.0 \n", "\n", " brand_name_Benefit 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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe" } }, "metadata": {} } ], "source": [ "# Get the names of the encoded columns\n", "encoded_names = encoder.get_feature_names_out(categorical_columns)\n", "\n", "# Convert the encoded categories into tables\n", "train_encoded = pd.DataFrame(\n", " train_categories,\n", " columns=encoded_names,\n", " index=X_train_ready.index\n", ")\n", "\n", "test_encoded = pd.DataFrame(\n", " test_categories,\n", " columns=encoded_names,\n", " index=X_test_ready.index\n", ")\n", "\n", "# Combine numerical columns and encoded categories\n", "X_train_final = pd.concat(\n", " [X_train_ready.drop(columns=categorical_columns), train_encoded],\n", " axis=1\n", ")\n", "\n", "X_test_final = pd.concat(\n", " [X_test_ready.drop(columns=categorical_columns), test_encoded],\n", " axis=1\n", ")\n", "\n", "# Check the prepared data\n", "print(\"Training shape:\", X_train_final.shape)\n", "print(\"Test shape:\", X_test_final.shape)\n", "\n", "display(X_train_final.head())" ] }, { "cell_type": "markdown", "metadata": { "id": "1DF2CqNX-4VH" }, "source": [ "###**VIF**\n", "\n", "VIF checks whether predictors contain overlapping information. High VIF values can make it harder to understand the individual coefficients in linear regression." ] }, { "cell_type": "code", "execution_count": 37, "metadata": { "id": "_jZGAny2_Eh7", "colab": { "base_uri": "https://localhost:8080/", "height": 359 }, "outputId": "b5a32039-f87d-49b6-bcb2-c4ebc0915bc9" }, "outputs": [ { "output_type": "execute_result", "data": { "text/plain": [ " Feature VIF\n", "149 secondary_category_Self Tanners 4.407081\n", "101 brand_name_SEPHORA COLLECTION 3.695856\n", "15 brand_name_CLINIQUE 3.496581\n", "154 secondary_category_Wellness 3.019977\n", "4 sephora_exclusive 2.923904\n", "0 price_usd 2.882861\n", "107 brand_name_Shiseido 2.739197\n", "51 brand_name_HUM Nutrition 2.662777\n", "112 brand_name_St. Tropez 2.611221\n", "125 brand_name_The Ordinary 2.597796" ], "text/html": [ "\n", "
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107brand_name_Shiseido2.739197
51brand_name_HUM Nutrition2.662777
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"vif_table\",\n \"rows\": 10,\n \"fields\": [\n {\n \"column\": \"Feature\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 10,\n \"samples\": [\n \"brand_name_St. Tropez\",\n \"brand_name_SEPHORA COLLECTION\",\n \"price_usd\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"VIF\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.5885635408375783,\n \"min\": 2.5977955520330585,\n \"max\": 4.407081040971305,\n \"num_unique_values\": 10,\n \"samples\": [\n 2.611220678671619,\n 3.6958556022485434,\n 2.8828606905838727\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {}, "execution_count": 37 } ], "source": [ "# Import tools to calculate VIF\n", "from statsmodels.stats.outliers_influence import variance_inflation_factor\n", "from statsmodels.tools.tools import add_constant\n", "\n", "# Add an intercept for the VIF calculation\n", "X_vif = add_constant(X_train_final.astype(float))\n", "\n", "# Calculate VIF for each predictor, excluding the intercept\n", "vif_table = pd.DataFrame({\n", " \"Feature\": X_vif.columns[1:],\n", " \"VIF\": [\n", " variance_inflation_factor(X_vif.values, i)\n", " for i in range(1, X_vif.shape[1])\n", " ]\n", "})\n", "\n", "# Show the highest VIF values first\n", "vif_table.sort_values(\"VIF\", ascending=False).head(10)" ] }, { "cell_type": "markdown", "metadata": { "id": "pAK5a0kX_SRo" }, "source": [ "Self Tanners had the highest VIF at 4.41. All VIF values were below 5, suggesting that overlapping information is not a major concern. We kept all predictors at this stage." ] }, { "cell_type": "markdown", "metadata": { "id": "cOcJ10F2_a8E" }, "source": [ "###**Machine Learning Models**\n", "\n", "We will compare three models to predict the number of favorites:\n", "\n", "**Linear Regression:** Looks for a linear relationship between product information and favorites.\n", "\n", "**Decision Tree:** Uses a series of rules to make predictions.\n", "\n", "**Random Forest:** Combines predictions from many decision trees." ] }, { "cell_type": "code", "execution_count": 38, "metadata": { "id": "kiHyfsCW_pep", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "4cef6341-4a63-42f7-e279-9d47ed70d52e" }, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "All three models have been trained.\n" ] } ], "source": [ "# Import the three models\n", "from sklearn.linear_model import LinearRegression\n", "from sklearn.tree import DecisionTreeRegressor\n", "from sklearn.ensemble import RandomForestRegressor\n", "\n", "# Create the models\n", "linear_model = LinearRegression()\n", "\n", "tree_model = DecisionTreeRegressor(\n", " max_depth=6,\n", " min_samples_leaf=10,\n", " random_state=42\n", ")\n", "\n", "forest_model = RandomForestRegressor(\n", " n_estimators=200,\n", " min_samples_leaf=5,\n", " random_state=42,\n", " n_jobs=-1\n", ")\n", "\n", "# Train each model\n", "linear_model.fit(X_train_final, y_train)\n", "tree_model.fit(X_train_final, y_train)\n", "forest_model.fit(X_train_final, y_train)\n", "\n", "print(\"All three models have been trained.\")" ] }, { "cell_type": "markdown", "metadata": { "id": "Q8qvs27-ARCC" }, "source": [ "### ***Model Evaluation***\n", "We compare predictions with the actual number of favorites in the test data.\n", "- R²: Higher values indicate better performance. A value of 1 means perfect predictions (values can also be negative).\n", "- RMSE: Measures prediction errors and gives more weight to large mistakes. Lower is better.\n", "- MAE: Shows the average absolute prediction error in number of favorites. Lower is better." ] }, { "cell_type": "code", "execution_count": 39, "metadata": { "id": "GNvU0RBeANMx" }, "outputs": [], "source": [ "# Make predictions for the test products\n", "linear_predictions = linear_model.predict(X_test_final)\n", "tree_predictions = tree_model.predict(X_test_final)\n", "forest_predictions = forest_model.predict(X_test_final)" ] }, { "cell_type": "code", "execution_count": 40, "metadata": { "id": "3oONcmzOAbv-", "colab": { "base_uri": "https://localhost:8080/", "height": 142 }, "outputId": "45eb1510-c5a2-42d8-9763-ffecf89823ae" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Model R² RMSE MAE\n", "2 Random Forest 0.62 24300.15 12464.28\n", "0 Linear Regression 0.56 25927.99 16110.75\n", "1 Decision Tree 0.53 26721.83 14473.96" ], "text/html": [ "\n", "
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ModelR²RMSEMAE
2Random Forest0.6224300.1512464.28
0Linear Regression0.5625927.9916110.75
1Decision Tree0.5326721.8314473.96
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(results_table\",\n \"rows\": 3,\n \"fields\": [\n {\n \"column\": \"Model\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 3,\n \"samples\": [\n \"Random Forest\",\n \"Linear Regression\",\n \"Decision Tree\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"R\\u00b2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.045825756949558386,\n \"min\": 0.53,\n \"max\": 0.62,\n \"num_unique_values\": 3,\n \"samples\": [\n 0.62,\n 0.56,\n 0.53\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1234.5430351348632,\n \"min\": 24300.15,\n \"max\": 26721.83,\n \"num_unique_values\": 3,\n \"samples\": [\n 24300.15,\n 25927.99,\n 26721.83\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 1826.4098968285657,\n \"min\": 12464.28,\n \"max\": 16110.75,\n \"num_unique_values\": 3,\n \"samples\": [\n 12464.28,\n 16110.75,\n 14473.96\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ], "source": [ "# Import evaluation tools\n", "import numpy as np\n", "from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error\n", "\n", "# Collect predictions from each model\n", "predictions = {\n", " \"Linear Regression\": linear_predictions,\n", " \"Decision Tree\": tree_predictions,\n", " \"Random Forest\": forest_predictions\n", "}\n", "\n", "results = []\n", "\n", "# Calculate the same metrics for every model\n", "for name, predicted in predictions.items():\n", " results.append({\n", " \"Model\": name,\n", " \"R²\": r2_score(y_test, predicted),\n", " \"RMSE\": np.sqrt(mean_squared_error(y_test, predicted)),\n", " \"MAE\": mean_absolute_error(y_test, predicted)\n", " })\n", "\n", "# Show models from lowest to highest RMSE\n", "results_table = pd.DataFrame(results)\n", "results_table = results_table.sort_values(\"RMSE\")\n", "\n", "display(results_table.round(2))" ] }, { "cell_type": "markdown", "metadata": { "id": "AKbPYphKA7rr" }, "source": [ "Random Forest performed best, with the highest R² (0.62) and the lowest RMSE and MAE. Its predictions were off by about 12,464 favorites on average.\n", "\n", "Combining many trees can help capture complex patterns, which may explain its better performance. **We recommend Random Forest** among the three models tested, but its predictions should be *used as estimates* because some errors are still large." ] }, { "cell_type": "markdown", "metadata": { "id": "em6ti-RbBOcw" }, "source": [ "###**Feature Selection**\n", "\n", "We selected **limited_edition** as a candidate for removal because it had a weak correlation with favorites (−0.06). This alone does not prove that the feature is unhelpful, so we compare Random Forest Performance with and without it.\n", "\n", "We use the same training and test sets and the same model settings to examine if removing this predictor would simplify the model and maintain similar performance." ] }, { "cell_type": "code", "execution_count": 41, "metadata": { "id": "gIihIjK9BWbt" }, "outputs": [], "source": [ "# Remove one predictor from training and test data\n", "X_train_reduced = X_train_final.drop(columns=[\"limited_edition\"])\n", "X_test_reduced = X_test_final.drop(columns=[\"limited_edition\"])\n", "\n", "# Use the same Random Forest settings\n", "forest_reduced = RandomForestRegressor(\n", " n_estimators=200,\n", " min_samples_leaf=5,\n", " random_state=42,\n", " n_jobs=-1\n", ")\n", "\n", "# Train the model and make predictions\n", "forest_reduced.fit(X_train_reduced, y_train)\n", "reduced_predictions = forest_reduced.predict(X_test_reduced)" ] }, { "cell_type": "code", "execution_count": 42, "metadata": { "id": "HzPIS8MeBZ9p", "colab": { "base_uri": "https://localhost:8080/", "height": 111 }, "outputId": "29ee910d-6f04-4861-ce9c-6aa89f0d5048" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ " Version Columns R² RMSE MAE\n", "0 Before: all predictors 155 0.615 24300.145 12464.281\n", "1 After: without limited_edition 154 0.615 24305.822 12468.488" ], "text/html": [ "\n", "
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VersionColumnsR²RMSEMAE
0Before: all predictors1550.61524300.14512464.281
1After: without limited_edition1540.61524305.82212468.488
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "summary": "{\n \"name\": \"display(feature_comparison\",\n \"rows\": 2,\n \"fields\": [\n {\n \"column\": \"Version\",\n \"properties\": {\n \"dtype\": \"string\",\n \"num_unique_values\": 2,\n \"samples\": [\n \"After: without limited_edition\",\n \"Before: all predictors\"\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"Columns\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0,\n \"min\": 154,\n \"max\": 155,\n \"num_unique_values\": 2,\n \"samples\": [\n 154,\n 155\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"R\\u00b2\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 0.0,\n \"min\": 0.615,\n \"max\": 0.615,\n \"num_unique_values\": 1,\n \"samples\": [\n 0.615\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"RMSE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 4.0142451967958035,\n \"min\": 24300.145,\n \"max\": 24305.822,\n \"num_unique_values\": 2,\n \"samples\": [\n 24305.822\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n },\n {\n \"column\": \"MAE\",\n \"properties\": {\n \"dtype\": \"number\",\n \"std\": 2.974798228450756,\n \"min\": 12464.281,\n \"max\": 12468.488,\n \"num_unique_values\": 2,\n \"samples\": [\n 12468.488\n ],\n \"semantic_type\": \"\",\n \"description\": \"\"\n }\n }\n ]\n}" } }, "metadata": {} } ], "source": [ "# Compare performance before and after removing limited_edition\n", "feature_comparison = pd.DataFrame({\n", " \"Version\": [\"Before: all predictors\", \"After: without limited_edition\"],\n", " \"Columns\": [X_train_final.shape[1], X_train_reduced.shape[1]],\n", " \"R²\": [\n", " r2_score(y_test, forest_predictions),\n", " r2_score(y_test, reduced_predictions)\n", " ],\n", " \"RMSE\": [\n", " np.sqrt(mean_squared_error(y_test, forest_predictions)),\n", " np.sqrt(mean_squared_error(y_test, reduced_predictions))\n", " ],\n", " \"MAE\": [\n", " mean_absolute_error(y_test, forest_predictions),\n", " mean_absolute_error(y_test, reduced_predictions)\n", " ]\n", "})\n", "\n", "display(feature_comparison.round(3))" ] }, { "cell_type": "markdown", "metadata": { "id": "GW6akmu4BWOV" }, "source": [ "Removing limited_edition reduced the number of columns from 155 to 154. R² stayed at 0.615 when rounded, and the prediction errors increased only slightly. This suggests that we can simplify the model a little without a meaningful loss in performance on this test set." ] }, { "cell_type": "markdown", "metadata": { "id": "Ah2fEGpHBrP7" }, "source": [ "### How Important is Each Feature?\n", "\n", "We will examine which predictors the Random Forest used most when making predictions. Importance does not tell us whether a predictor increases or decreases favorites, and it does not prove cause and effect." ] }, { "cell_type": "code", "execution_count": 43, "metadata": { "id": "4beHMvNVB06r", "colab": { "base_uri": "https://localhost:8080/", "height": 601 }, "outputId": "8a29c366-284f-47e7-f3cf-dc754f83dc24" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ], "source": [ "# Get feature importance from the model after feature selection\n", "importance = pd.Series(\n", " forest_reduced.feature_importances_,\n", " index=X_train_reduced.columns\n", ")\n", "\n", "# Group the encoded columns by their original variable\n", "grouped_importance = pd.Series({\n", " \"Reviews\": importance[\"reviews\"],\n", " \"Price\": importance[\"price_usd\"],\n", " \"Rating\": importance[\"rating\"],\n", " \"Sephora Exclusive\": importance[\"sephora_exclusive\"],\n", " \"Online Only\": importance[\"online_only\"],\n", " \"Brand\": importance[\n", " importance.index.str.startswith(\"brand_name_\")\n", " ].sum(),\n", " \"Product Category\": importance[\n", " importance.index.str.startswith(\"secondary_category_\")\n", " ].sum()\n", "})\n", "\n", "# Plot importance from highest to lowest\n", "grouped_importance.sort_values().plot(\n", " kind=\"barh\",\n", " figsize=(10, 6),\n", " color=\"#B86A87\"\n", ")\n", "\n", "plt.title(\"Which Information Does the Random Forest Use Most?\")\n", "plt.xlabel(\"Model Importance\")\n", "plt.ylabel(\"\")\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": { "id": "s6Xh5aiuB9qS" }, "source": [ "The Random Forest relied most on the number of reviews, followed by brand and price. Online-only status had the lowest importance.\n", "\n", "This shows which information helped the model make predictions. It does not prove that increasing reviews will increase favorites.\n", "\n", "Variables with many possible splits or many encoded categories may receive higher importance, so the ranking should be interpreted cautiously." ] }, { "cell_type": "markdown", "metadata": { "id": "AwIuZsQ5CFrf" }, "source": [ "\n", "### **Business Recommendations**\n", "- Test campaigns for lip care products. Lip Balms & Treatments had the highest median number of favorites. This makes the category a reasonable starting point for a small marketing test.\n", "- Do not choose products based only on price or rating. Neither had a strong linear relationship with favorites.\n", "- Consider several product details together. Review count, brand, and price helped the Random Forest make predictions.\n", "- Use predictions as estimates. Random Forest performed best, but its predictions were still off by about 12,464 favorites on average.\n", "- Measure purchases as well as favorites. Favorites show interest, but they do not prove that customers will buy.\n", "These findings can help the marketing team choose products to test. Any increase in sales would need to be measured in an actual campaign." ] }, { "cell_type": "markdown", "metadata": { "id": "4pAI9u1KDxuw" }, "source": [ "### **Conclusion**\n", "\n", "This project explored consumer interest in Sephora skincare products using the number of favorites.\n", "\n", "A few products had many more favorites than the others, and Lip Balms & Treatments had the highest median favorites. Review count was strongly related to favorites, while price and rating had weak linear relationships with them.\n", "\n", "Random Forest performed best among the three models. Removing limited_edition made the model slightly simpler while keeping similar performance.\n", "\n", "For us, the main challenge was the large difference in popularity between products. The analysis showed why it is useful to compare several product details instead of relying on price or rating alone.\n", "\n", "Future improvements could include product launch dates, website visits, and actual sales. These could help explain differences in favorites and support better marketing decisions." ] }, { "cell_type": "markdown", "metadata": { "id": "sltcD2RnEZTg" }, "source": [ "###**DATABRICKS**\n", "\n", "dashboard link:\n", "https://dbc-2369efb7-6d04.cloud.databricks.com/dashboardsv3/01f1c045fcf81b3e8a62fcf96c03cfe0/published?o=7474656054101949\n", "\n" ] }, { "cell_type": "markdown", "metadata": { "id": "6jrNak6dwWs7" }, "source": [ "Python was used for data cleaning, exploration, and machine learning. Databricks was used to query the same dataset with SQL and create dashboard visualizations. Both tools showed the same product counts and category medians." ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "id": "fYSVcSXxEMHu", "colab": { "base_uri": "https://localhost:8080/", "height": 17 }, "outputId": "99a668b6-3cd7-438e-8531-e30d0a3c6365" }, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "\n", " async function download(id, filename, size) {\n", " if (!google.colab.kernel.accessAllowed) {\n", " return;\n", " }\n", " const div = document.createElement('div');\n", " const label = document.createElement('label');\n", " label.textContent = `Downloading \"${filename}\": `;\n", " div.appendChild(label);\n", " const progress = document.createElement('progress');\n", " progress.max = size;\n", " div.appendChild(progress);\n", " document.body.appendChild(div);\n", "\n", " const buffers = [];\n", " let downloaded = 0;\n", "\n", " const channel = await google.colab.kernel.comms.open(id);\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", "\n", " for await (const message of channel.messages) {\n", " // Send a message to notify the kernel that we're ready.\n", " channel.send({})\n", " if (message.buffers) {\n", " for (const buffer of message.buffers) {\n", " buffers.push(buffer);\n", " downloaded += buffer.byteLength;\n", " progress.value = downloaded;\n", " }\n", " }\n", " }\n", " const blob = new Blob(buffers, {type: 'application/binary'});\n", " const a = document.createElement('a');\n", " a.href = window.URL.createObjectURL(blob);\n", " a.download = filename;\n", " div.appendChild(a);\n", " a.click();\n", " div.remove();\n", " }\n", " " ] }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "" ], "application/javascript": [ "download(\"download_e858effc-9287-4228-8eaf-43cf2c069a01\", \"skincare_databricks.csv\", 242850)" ] }, "metadata": {} } ], "source": [ "# Export the skincare dataset for Databricks\n", "skincare.to_csv(\"skincare_databricks.csv\", index=False)\n", "\n", "# Download the file\n", "from google.colab import files\n", "files.download(\"skincare_databricks.csv\")" ] }, { "cell_type": "markdown", "metadata": { "id": "iFi_TxEDL3l6" }, "source": [ "![Median Favorites by Skincare Category-2.png](data:image/png;base64,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