From 51e8757c1e004601f1d510b3097146468763e2c1 Mon Sep 17 00:00:00 2001 From: Aliya Janmohamed Date: Mon, 1 May 2023 14:55:38 +0100 Subject: [PATCH] Lab Done --- your-code/main.ipynb | 944 ++++++++++++++++++++++++++++++++++++++++--- 1 file changed, 884 insertions(+), 60 deletions(-) diff --git a/your-code/main.ipynb b/your-code/main.ipynb index e196ddb..404ec36 100755 --- a/your-code/main.ipynb +++ b/your-code/main.ipynb @@ -11,11 +11,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ - "# your code here" + "# your code here\n", + "import pandas as pd\n", + "import numpy as np" ] }, { @@ -27,11 +29,11 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ - "# your code here" + "# your code here\n" ] }, { @@ -45,11 +47,12 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ - "# your code here" + "# your code here\n", + "data = pd.read_csv('apple_store.csv')" ] }, { @@ -63,11 +66,137 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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idtrack_namesize_bytespricerating_count_totrating_count_veruser_ratinguser_rating_verprime_genre
0281656475PAC-MAN Premium1007882243.9921292264.04.5Games
1281796108Evernote - stay organized1585786880.00161065264.03.5Productivity
2281940292WeatherBug - Local Weather, Radar, Maps, Alerts1005240320.0018858328223.54.5Weather
3282614216eBay: Best App to Buy, Sell, Save! Online Shop...1285120000.002622416494.04.5Shopping
4282935706Bible927744000.0098592053204.55.0Reference
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idsize_bytespricerating_count_totrating_count_veruser_ratinguser_rating_ver
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mean8.631310e+081.991345e+081.7262181.289291e+04460.3739063.5269563.253578
std2.712368e+083.592069e+085.8330067.573941e+043920.4551831.5179481.809363
min2.816565e+085.898240e+050.0000000.000000e+000.0000000.0000000.000000
25%6.000937e+084.692275e+070.0000002.800000e+011.0000003.5000002.500000
50%9.781482e+089.715302e+070.0000003.000000e+0223.0000004.0000004.000000
75%1.082310e+091.819249e+081.9900002.793000e+03140.0000004.5000004.500000
max1.188376e+094.025970e+09299.9900002.974676e+06177050.0000005.0000005.000000
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"# your code here" + "# your code here\n", + "data.describe()" ] }, { @@ -95,11 +367,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "9" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "len(data.columns)" ] }, { @@ -111,11 +395,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Index(['id', 'track_name', 'size_bytes', 'price', 'rating_count_tot',\n", + " 'rating_count_ver', 'user_rating', 'user_rating_ver', 'prime_genre'],\n", + " dtype='object')" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "data.columns" ] }, { @@ -129,11 +427,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "(7197, 9)" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "data.shape" ] }, { @@ -147,11 +457,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0 4.0\n", + "1 4.0\n", + "2 3.5\n", + "3 4.0\n", + "4 4.5\n", + " ... \n", + "7192 4.5\n", + "7193 4.5\n", + "7194 4.5\n", + "7195 4.5\n", + "7196 5.0\n", + "Name: user_rating, Length: 7197, dtype: float64" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "user_rating = data['user_rating']\n", + "user_rating" ] }, { @@ -165,11 +499,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "3.526955675976101" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "user_rating.mean()" ] }, { @@ -185,11 +531,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0 4.0\n", + "1 4.0\n", + "3 4.0\n", + "4 4.5\n", + "5 4.0\n", + " ... \n", + "7192 4.5\n", + "7193 4.5\n", + "7194 4.5\n", + "7195 4.5\n", + "7196 5.0\n", + "Name: user_rating, Length: 4781, dtype: float64" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "user_rating_high = user_rating[user_rating >= 4]\n", + "user_rating_high" ] }, { @@ -201,11 +571,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "4781" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "len(user_rating_high)" ] }, { @@ -219,11 +601,35 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "0 Games\n", + "1 Productivity\n", + "2 Weather\n", + "3 Shopping\n", + "4 Reference\n", + " ... \n", + "7192 Games\n", + "7193 Games\n", + "7194 Utilities\n", + "7195 Games\n", + "7196 Games\n", + "Name: prime_genre, Length: 7197, dtype: object" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "genres = data['prime_genre']\n", + "genres" ] }, { @@ -235,11 +641,23 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 20, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "23" + ] + }, + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "genres.nunique()" ] }, { @@ -260,11 +678,27 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 22, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Games 3862\n", + "Entertainment 535\n", + "Education 453\n", + "Name: prime_genre, dtype: int64" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "genres_3 = data['prime_genre'].value_counts()\n", + "genres_3.head(3)" ] }, { @@ -305,11 +739,50 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 29, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Games 2257\n", + "Entertainment 334\n", + "Photo & Video 167\n", + "Social Networking 143\n", + "Education 132\n", + "Shopping 121\n", + "Utilities 109\n", + "Lifestyle 94\n", + "Finance 84\n", + "Sports 79\n", + "Health & Fitness 76\n", + "Music 67\n", + "Book 66\n", + "Productivity 62\n", + "News 58\n", + "Travel 56\n", + "Food & Drink 43\n", + "Weather 31\n", + "Business 20\n", + "Reference 20\n", + "Navigation 20\n", + "Catalogs 9\n", + "Medical 8\n", + "Name: prime_genre, dtype: int64" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "free_apps = data[data['price']==0]\n", + "\n", + "free_genre = free_apps['prime_genre'].value_counts()\n", + "\n", + "free_genre" ] }, { @@ -352,11 +825,46 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 61, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "Shopping 0.991803\n", + "Catalogs 0.900000\n", + "Social Networking 0.856287\n", + "Finance 0.807692\n", + "News 0.773333\n", + "Sports 0.692982\n", + "Travel 0.691358\n", + "Food & Drink 0.682540\n", + "Lifestyle 0.652778\n", + "Entertainment 0.624299\n", + "Book 0.589286\n", + "Games 0.584412\n", + "Music 0.485507\n", + "Photo & Video 0.478510\n", + "Utilities 0.439516\n", + "Navigation 0.434783\n", + "Weather 0.430556\n", + "Health & Fitness 0.422222\n", + "Business 0.350877\n", + "Productivity 0.348315\n", + "Medical 0.347826\n", + "Reference 0.312500\n", + "Education 0.291391\n", + "Name: prime_genre, dtype: float64" + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "(free_genre / genres_3).sort_values(ascending=False)" ] }, { @@ -397,11 +905,189 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 62, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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3Education4.028234
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20Travel1.120370
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4Entertainment0.889701
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5Finance0.421154
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" + ], + "text/plain": [ + " prime_genre price\n", + "10 Medical 8.776087\n", + "1 Business 5.116316\n", + "16 Reference 4.836875\n", + "11 Music 4.835435\n", + "15 Productivity 4.330562\n", + "12 Navigation 4.124783\n", + "3 Education 4.028234\n", + "8 Health & Fitness 1.916444\n", + "0 Book 1.790536\n", + "21 Utilities 1.647621\n", + "22 Weather 1.605417\n", + "6 Food & Drink 1.552381\n", + "14 Photo & Video 1.473295\n", + "7 Games 1.432923\n", + "20 Travel 1.120370\n", + "19 Sports 0.953070\n", + "4 Entertainment 0.889701\n", + "9 Lifestyle 0.885417\n", + "2 Catalogs 0.799000\n", + "13 News 0.517733\n", + "5 Finance 0.421154\n", + "18 Social Networking 0.339880\n", + "17 Shopping 0.016311" + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# your code here" + "# your code here\n", + "data.groupby('prime_genre', as_index=False).agg({'price': 'mean'}).sort_values('price', ascending=False)" ] }, { @@ -417,7 +1103,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 63, "metadata": {}, "outputs": [], "source": [ @@ -438,11 +1124,147 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 64, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + " No year month day hour pm2.5 DEWP TEMP PRES cbwd Iws Is Ir\n", + "0 1 2010 1 1 0 NaN -21 -11.0 1021.0 NW 1.79 0 0\n", + "1 2 2010 1 1 1 NaN -21 -12.0 1020.0 NW 4.92 0 0\n", + "2 3 2010 1 1 2 NaN -21 -11.0 1019.0 NW 6.71 0 0\n", + "3 4 2010 1 1 3 NaN -21 -14.0 1019.0 NW 9.84 0 0\n", + "4 5 2010 1 1 4 NaN -20 -12.0 1018.0 NW 12.97 0 0" + ] + }, + "execution_count": 64, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Your code here:" + "# Your code here:\n", + "pm25.head()" ] }, { @@ -454,7 +1276,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 66, "metadata": {}, "outputs": [], "source": [ @@ -469,7 +1291,9 @@ " '''\n", " \n", " # Your code here:\n", - " " + " if type(x)==int:\n", + " hourly_fig=(x/4)\n", + " return hourly_fig" ] }, { @@ -485,7 +1309,7 @@ "metadata": {}, "outputs": [], "source": [ - "# Your code here:" + "# Your code here:\n" ] }, { @@ -519,7 +1343,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -533,7 +1357,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.6.8" + "version": "3.9.13" } }, "nbformat": 4,