diff --git a/solved_univariate.ipynb b/solved_univariate.ipynb new file mode 100644 index 0000000..6e1271b --- /dev/null +++ b/solved_univariate.ipynb @@ -0,0 +1,945 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 12, + "id": "d7955074", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "19f0837c", + "metadata": {}, + "outputs": [], + "source": [ + "df=pd.read_csv(\"amz_uk_price_prediction_dataset.csv\")" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "1fc67a6a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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uidasintitlestarsreviewspriceisBestSellerboughtInLastMonthcategory
01B09B96TG33Echo Dot (5th generation, 2022 release) | Big ...4.71530821.99False0Hi-Fi Speakers
12B01HTH3C8SAnker Soundcore mini, Super-Portable Bluetooth...4.79809923.99True0Hi-Fi Speakers
23B09B8YWXDFEcho Dot (5th generation, 2022 release) | Big ...4.71530821.99False0Hi-Fi Speakers
34B09B8T5VGVEcho Dot with clock (5th generation, 2022 rele...4.7720531.99False0Hi-Fi Speakers
45B09WX6QD65Introducing Echo Pop | Full sound compact Wi-F...4.6188117.99False0Hi-Fi Speakers
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" + ], + "text/plain": [ + " uid asin title stars \\\n", + "0 1 B09B96TG33 Echo Dot (5th generation, 2022 release) | Big ... 4.7 \n", + "1 2 B01HTH3C8S Anker Soundcore mini, Super-Portable Bluetooth... 4.7 \n", + "2 3 B09B8YWXDF Echo Dot (5th generation, 2022 release) | Big ... 4.7 \n", + "3 4 B09B8T5VGV Echo Dot with clock (5th generation, 2022 rele... 4.7 \n", + "4 5 B09WX6QD65 Introducing Echo Pop | Full sound compact Wi-F... 4.6 \n", + "\n", + " reviews price isBestSeller boughtInLastMonth category \n", + "0 15308 21.99 False 0 Hi-Fi Speakers \n", + "1 98099 23.99 True 0 Hi-Fi Speakers \n", + "2 15308 21.99 False 0 Hi-Fi Speakers \n", + "3 7205 31.99 False 0 Hi-Fi Speakers \n", + "4 1881 17.99 False 0 Hi-Fi Speakers " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.head()" + ] + }, + { + "cell_type": "markdown", + "id": "cf324517", + "metadata": {}, + "source": [ + " **Frequency Tables**:\n", + " - Generate a frequency table for the product `category`.\n", + " - Which are the top 5 most listed product categories?" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "64ff5d3e", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "category\n", + "Sports & Outdoors 836265\n", + "Beauty 19312\n", + "Handmade Clothing, Shoes & Accessories 19229\n", + "Bath & Body 19092\n", + "Birthday Gifts 18978\n", + " ... \n", + "Alexa Built-In Devices 107\n", + "Motorbike Chassis 107\n", + "Plugs 107\n", + "Smart Home Security & Lighting 104\n", + "Smart Speakers 54\n", + "Name: count, Length: 296, dtype: int64" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['category'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "645c2d5b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "category\n", + "Sports & Outdoors 836265\n", + "Beauty 19312\n", + "Handmade Clothing, Shoes & Accessories 19229\n", + "Bath & Body 19092\n", + "Birthday Gifts 18978\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['category'].value_counts().head(5)" + ] + }, + { + "cell_type": "markdown", + "id": "ad9c6886", + "metadata": {}, + "source": [ + "\n", + "2. **Visualizations**:\n", + " - Display the distribution of products across different categories using a bar chart. *If you face problems understanding the chart, do it for a subset of top categories.*\n", + " - For a subset of top categories, visualize their proportions using a pie chart. Does any category dominate the listings?\n" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "9d9a271b", + "metadata": {}, + "outputs": [], + "source": [ + "top_categories = df['category'].value_counts().head(10)\n", + "top_categories_lakhs = top_categories / 100000" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "4280f5ac", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "top_categories = df['category'].value_counts().head(10) / 100000 # in lakhs\n", + "\n", + "plt.figure(figsize=(12,6)) \n", + "\n", + "top_categories.plot(kind='bar')\n", + "\n", + "plt.title('Top 10 Product Categories (in Lakhs)')\n", + "plt.xlabel('Category')\n", + "plt.ylabel('Number of Products (Lakhs)')\n", + "\n", + "plt.xticks(rotation=45, ha='right') \n", + "plt.tight_layout() \n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "c8449d90", + "metadata": {}, + "outputs": [], + "source": [ + "top5 = df['category'].value_counts().head(5)" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "b0a3786b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure()\n", + "\n", + "plt.pie(top5, labels=top5.index, autopct='%1.1f%%')\n", + "\n", + "plt.title('Top 5 Product Categories')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "3ad012f2", + "metadata": {}, + "source": [ + " **Measures of Centrality**:\n", + " - Calculate the mean, median, and mode for the `price` of products.\n", + " - What's the average price point of products listed? How does this compare with the most common price point (mode)?\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "256ade42", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "count 2.443651e+06\n", + "mean 8.924381e+01\n", + "std 3.456089e+02\n", + "min 0.000000e+00\n", + "25% 9.990000e+00\n", + "50% 1.909000e+01\n", + "75% 4.599000e+01\n", + "max 1.000000e+05\n", + "Name: price, dtype: float64" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['price'].describe()" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "ffe251bc", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.float64(89.24380943923661)" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['price'].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "546ca9b9", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "19.09" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['price'].median()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "834559b5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 9.99\n", + "Name: price, dtype: float64" + ] + }, + "execution_count": 25, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['price'].mode()" + ] + }, + { + "cell_type": "markdown", + "id": "73b3bbb7", + "metadata": {}, + "source": [ + "Average price is much higher as compared to most frequent price(mode). Some productds are high priced." + ] + }, + { + "cell_type": "markdown", + "id": "25afda2c", + "metadata": {}, + "source": [ + "2. **Measures of Dispersion**:\n", + " - Determine the variance, standard deviation, range, and interquartile range for product `price`.\n", + " - How varied are the product prices? Are there any indicators of a significant spread in prices?" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "3326c63a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "119445.48532256528" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['price'].var()" + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "aeb28fed", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "345.60886175352226" + ] + }, + "execution_count": 27, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['price'].std()" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "eab1214e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "100000.0\n" + ] + } + ], + "source": [ + "price_range = df['price'].max() - df['price'].min()\n", + "print(price_range)" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "683c9f0d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "IQR 36.0\n" + ] + } + ], + "source": [ + "Q1 = df['price'].quantile(0.25)\n", + "Q3 = df['price'].quantile(0.75)\n", + "IQR = Q3 - Q1\n", + "print('IQR',IQR)" + ] + }, + { + "cell_type": "markdown", + "id": "477355dc", + "metadata": {}, + "source": [ + "Price range is highly varied. Variation suggests highly spread product prices." + ] + }, + { + "cell_type": "markdown", + "id": "aedfc233", + "metadata": {}, + "source": [ + " **Visualizations**:\n", + " - Is there a specific price range where most products fall? Plot a histogram to visualize the distribution of product prices. *If its hard to read these diagrams, think why this is, and explain how it could be solved.*.\n", + " - Are there products that are priced significantly higher than the rest? Use a box plot to showcase the spread and potential outliers in product pricing. " + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "7d120394", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(8,5))\n", + "\n", + "plt.hist(df['price'], bins=50)\n", + "\n", + "plt.title('Distribution of Product Prices')\n", + "plt.xlabel('Price')\n", + "plt.ylabel('Number of Products')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "e53ec984", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.figure(figsize=(6,4))\n", + "\n", + "plt.boxplot(df['price'])\n", + "\n", + "plt.title('Box Plot of Product Prices')\n", + "plt.ylabel('Price')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "ea93eb90", + "metadata": {}, + "source": [ + "Histogram not useful as many products are in lower price range. Box plot shows presence of outliers showing some products are expensive as compared to others." + ] + }, + { + "cell_type": "markdown", + "id": "7f0566e7", + "metadata": {}, + "source": [ + " - Calculate the mean, median, and mode for the `rating` of products.\n", + " - How do customers generally rate products? Is there a common trend?" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "2ce8cf9b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "stars\n", + "0.0 1225641\n", + "4.5 151577\n", + "4.6 136995\n", + "4.4 136165\n", + "5.0 128492\n", + "4.3 112564\n", + "4.7 94566\n", + "4.2 86871\n", + "4.0 66089\n", + "4.1 65115\n", + "4.8 41858\n", + "3.9 36555\n", + "3.8 27876\n", + "3.7 21137\n", + "3.6 16219\n", + "3.5 14673\n", + "3.0 12819\n", + "4.9 11081\n", + "3.4 10355\n", + "1.0 8484\n", + "3.3 8269\n", + "3.2 5771\n", + "3.1 4679\n", + "2.0 3901\n", + "2.9 3341\n", + "2.8 2306\n", + "2.7 2104\n", + "2.5 2103\n", + "2.6 1579\n", + "2.4 1060\n", + "2.3 734\n", + "2.2 602\n", + "2.1 540\n", + "1.5 404\n", + "1.9 300\n", + "1.8 249\n", + "1.7 177\n", + "1.4 149\n", + "1.6 147\n", + "1.3 78\n", + "1.2 23\n", + "1.1 3\n", + "Name: count, dtype: int64" + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['stars'].value_counts()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "9c40f91f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "np.float64(2.152836472966066)" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['stars'].mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "dadbd951", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0.0" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['stars'].median()" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "5bd7203b", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "0 0.0\n", + "Name: stars, dtype: float64" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['stars'].mode()" + ] + }, + { + "cell_type": "markdown", + "id": "a051fe39", + "metadata": {}, + "source": [ + "Median and mode are coming out to be zero. Value counts also suggest that 0 rating are majority which means customers generally dont rate products." + ] + }, + { + "cell_type": "markdown", + "id": "7201be71", + "metadata": {}, + "source": [ + ". **Measures of Dispersion**:\n", + " - Determine the variance, standard deviation, and interquartile range for product `rating`.\n", + " - Are the ratings consistent, or is there a wide variation in customer feedback?" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "067ee57a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "4.81743402976196" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['stars'].var()" + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "c0034295", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "2.1948653785054697" + ] + }, + "execution_count": 39, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df['stars'].std()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "9709bf9f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "IQR 36.0\n" + ] + } + ], + "source": [ + "Q1 = df['price'].quantile(0.25)\n", + "Q3 = df['price'].quantile(0.75)\n", + "IQR = Q3 - Q1\n", + "print('IQR',IQR)" + ] + }, + { + "cell_type": "markdown", + "id": "e54d9320", + "metadata": {}, + "source": [ + "It is somewaht varied. But not extreme." + ] + }, + { + "cell_type": "markdown", + "id": "1da9911a", + "metadata": {}, + "source": [ + "**Shape of the Distribution**:\n", + " - Calculate the skewness and kurtosis for the `rating` column. \n", + " - Are the ratings normally distributed, or do they lean towards higher or lower values?" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "a4538ced", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Skewness: 0.08120735761080881\n", + "Kurtosis: -1.9260061280432994\n" + ] + } + ], + "source": [ + "\n", + "skewness = df['stars'].skew()\n", + "kurtosis = df['stars'].kurt()\n", + "\n", + "print(\"Skewness:\", skewness)\n", + "print(\"Kurtosis:\", kurtosis)" + ] + }, + { + "cell_type": "markdown", + "id": "653e6ff1", + "metadata": {}, + "source": [ + "Skewness zero means normal distribution.\n", + "The kurtosis value is negative, which shows that the distribution is flatter than a normal distribution and has fewer extreme values" + ] + }, + { + "cell_type": "markdown", + "id": "9a9b4f45", + "metadata": {}, + "source": [ + "**Visualizations**:\n", + " - Plot a histogram to visualize the distribution of product ratings. Is there a specific rating that is more common?\n" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "609fef9d", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(8,5))\n", + "\n", + "plt.hist(df['stars'], bins=10)\n", + "\n", + "plt.title('Distribution of Product Ratings')\n", + "plt.xlabel('Rating (Stars)')\n", + "plt.ylabel('Number of Products')\n", + "\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "396034f1", + "metadata": {}, + "source": [ + "Most customers have not provided rating. Among those who have provided most common are between 4 and 5" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "base", + "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": "3.13.9" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}