From dc26a751ae988112247cd8be10d790621eb788f9 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?=D0=9D=D0=B8=D0=BA=D0=B8=D1=82=D0=B0=20=D0=9F=D0=BE=D1=82?= =?UTF-8?q?=D0=B0=D0=BF=D0=BE=D0=B2?= Date: Sat, 23 Nov 2024 21:26:48 +0400 Subject: [PATCH] =?UTF-8?q?=D0=A0=D0=B0=D0=B1=D0=BE=D1=82=D0=B0=20=D0=BD?= =?UTF-8?q?=D0=B0=D0=B4=20=D0=BE=D0=BF=D0=B8=D1=81=D0=B0=D0=BD=D0=B8=D0=B5?= =?UTF-8?q?=D0=BC=20=D0=B2=D1=82=D0=BE=D1=80=D0=BE=D0=B3=D0=BE=20=D0=B4?= =?UTF-8?q?=D0=B0=D1=82=D0=B0=D1=81=D0=B5=D1=82=D0=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_2/lab2.ipynb | 268 ++++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 240 insertions(+), 28 deletions(-) diff --git a/lab_2/lab2.ipynb b/lab_2/lab2.ipynb index bc3aece..61b95a6 100644 --- a/lab_2/lab2.ipynb +++ b/lab_2/lab2.ipynb @@ -102,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 146, "metadata": {}, "outputs": [], "source": [ @@ -126,7 +126,7 @@ }, { "cell_type": "code", - "execution_count": 83, + "execution_count": 147, "metadata": {}, "outputs": [ { @@ -247,7 +247,7 @@ "remote_ratio 0.0 100.0 100.0 " ] }, - "execution_count": 83, + "execution_count": 147, "metadata": {}, "output_type": "execute_result" } @@ -267,7 +267,7 @@ }, { "cell_type": "code", - "execution_count": 84, + "execution_count": 148, "metadata": {}, "outputs": [], "source": [ @@ -296,7 +296,7 @@ }, { "cell_type": "code", - "execution_count": 85, + "execution_count": 149, "metadata": {}, "outputs": [ { @@ -344,7 +344,7 @@ }, { "cell_type": "code", - "execution_count": 86, + "execution_count": 150, "metadata": {}, "outputs": [], "source": [ @@ -366,7 +366,7 @@ }, { "cell_type": "code", - "execution_count": 87, + "execution_count": 151, "metadata": {}, "outputs": [], "source": [ @@ -405,7 +405,7 @@ }, { "cell_type": "code", - "execution_count": 88, + "execution_count": 152, "metadata": {}, "outputs": [], "source": [ @@ -432,7 +432,7 @@ }, { "cell_type": "code", - "execution_count": 89, + "execution_count": 153, "metadata": {}, "outputs": [ { @@ -487,7 +487,7 @@ }, { "cell_type": "code", - "execution_count": 90, + "execution_count": 154, "metadata": {}, "outputs": [ { @@ -514,7 +514,7 @@ }, { "cell_type": "code", - "execution_count": 91, + "execution_count": 155, "metadata": {}, "outputs": [], "source": [ @@ -542,7 +542,7 @@ }, { "cell_type": "code", - "execution_count": 92, + "execution_count": 156, "metadata": {}, "outputs": [ { @@ -569,7 +569,7 @@ }, { "cell_type": "code", - "execution_count": 93, + "execution_count": 157, "metadata": {}, "outputs": [ { @@ -650,7 +650,7 @@ }, { "cell_type": "code", - "execution_count": 94, + "execution_count": 158, "metadata": {}, "outputs": [], "source": [ @@ -706,7 +706,7 @@ }, { "cell_type": "code", - "execution_count": 95, + "execution_count": 159, "metadata": {}, "outputs": [], "source": [ @@ -730,7 +730,7 @@ }, { "cell_type": "code", - "execution_count": 96, + "execution_count": 160, "metadata": {}, "outputs": [], "source": [ @@ -751,7 +751,7 @@ }, { "cell_type": "code", - "execution_count": 105, + "execution_count": 161, "metadata": {}, "outputs": [], "source": [ @@ -785,7 +785,7 @@ }, { "cell_type": "code", - "execution_count": 109, + "execution_count": 162, "metadata": {}, "outputs": [ { @@ -905,7 +905,7 @@ }, { "cell_type": "code", - "execution_count": 111, + "execution_count": 163, "metadata": {}, "outputs": [], "source": [ @@ -922,7 +922,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 164, "metadata": {}, "outputs": [ { @@ -981,7 +981,7 @@ }, { "cell_type": "code", - "execution_count": 116, + "execution_count": 165, "metadata": {}, "outputs": [ { @@ -1154,7 +1154,7 @@ }, { "cell_type": "code", - "execution_count": 62, + "execution_count": 171, "metadata": {}, "outputs": [ { @@ -1282,7 +1282,7 @@ "Store_Sales 58605.0 71872.50 116320.0 " ] }, - "execution_count": 62, + "execution_count": 171, "metadata": {}, "output_type": "execute_result" } @@ -1293,9 +1293,46 @@ "df.describe().transpose()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Удалим колонку с ID магазинов, она нам вряд ли понадобится" + ] + }, { "cell_type": "code", - "execution_count": 63, + "execution_count": 192, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "RangeIndex: 896 entries, 0 to 895\n", + "Data columns (total 4 columns):\n", + " # Column Non-Null Count Dtype\n", + "--- ------ -------------- -----\n", + " 0 Store_Area 896 non-null int64\n", + " 1 Items_Available 896 non-null int64\n", + " 2 Daily_Customer_Count 896 non-null int64\n", + " 3 Store_Sales 896 non-null int64\n", + "dtypes: int64(4)\n", + "memory usage: 28.1 KB\n" + ] + } + ], + "source": [ + "if \"Store ID \" in df.columns:\n", + " df = df.drop(columns=[\"Store ID \"])\n", + "\n", + "df.info()" + ] + }, + { + "cell_type": "code", + "execution_count": 193, "metadata": {}, "outputs": [ { @@ -1303,7 +1340,6 @@ "output_type": "stream", "text": [ "Присутствуют ли пустые значения признаков в колонке:\n", - "Store ID False\n", "Store_Area False\n", "Items_Available False\n", "Daily_Customer_Count False\n", @@ -1317,6 +1353,182 @@ "check_null_columns(df)" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Проверим на наличие выбросов" + ] + }, + { + "cell_type": "code", + "execution_count": 194, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Колонка Store_Area:\n", + "\tЕсть выбросы: Да\n", + "\tКоличество выбросов: 5\n", + "\tМинимальное значение: 775\n", + "\tМаксимальное значение: 2229\n", + "\t1-й квартиль (Q1): 1316.75\n", + "\t3-й квартиль (Q3): 1653.5\n", + "\n", + "Колонка Items_Available:\n", + "\tЕсть выбросы: Да\n", + "\tКоличество выбросов: 5\n", + "\tМинимальное значение: 932\n", + "\tМаксимальное значение: 2667\n", + "\t1-й квартиль (Q1): 1575.5\n", + "\t3-й квартиль (Q3): 1982.75\n", + "\n", + "Колонка Daily_Customer_Count:\n", + "\tЕсть выбросы: Да\n", + "\tКоличество выбросов: 3\n", + "\tМинимальное значение: 10\n", + "\tМаксимальное значение: 1560\n", + "\t1-й квартиль (Q1): 600.0\n", + "\t3-й квартиль (Q3): 970.0\n", + "\n", + "Колонка Store_Sales:\n", + "\tЕсть выбросы: Да\n", + "\tКоличество выбросов: 1\n", + "\tМинимальное значение: 14920\n", + "\tМаксимальное значение: 116320\n", + "\t1-й квартиль (Q1): 46530.0\n", + "\t3-й квартиль (Q3): 71872.5\n", + "\n" + ] + } + ], + "source": [ + "columns_with_outliers = check_outliers(df)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Визуализируем выбросы" + ] + }, + { + "cell_type": "code", + "execution_count": 195, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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YkozZs2ebZRkZGUaTJk0MT09PIzMz0zAMw8jOzjYyMjKstj1//rzh5eVlDBo0yCxLSkoyJBlPPPGEYW9vbyQnJ5t17du3N5588klDkjFz5sx87XziiSeMLl26mOXHjx83bG1tjSeeeCJfPwp6DJ599lmjYsWKxuXLlwvt75XH69atm1X5c889l+/vVdBxQkNDjXvuueeax1i5cqUhyfj222/NMklGnz59DHt7e6vyiIgI83GJjIw0yy9fvmzk5ORY7TcpKclwdHQ0pk2bZlW+ceNGQ5LxyiuvGEePHjUqVapk9OjRwypm1KhRhiRjx44dZtmff/5pBAQEGP7+/uaxtm7dakgytm7datUWW1tb47nnnrtmv/O8+OKLhiTj7NmzZlmDBg2MNm3a5Is9fPiwIclYtmyZWZb3N8pz6dIlw9bW1nj22Wettg0PDzdcXFyK1abCXLx40ahbt64hyfDz8zMGDhxovPvuu0ZKSkq+2MjISKOgt/G1a9eaj/+V+vTpY9jY2BhHjhwxyyQZtra2xv79+61iIyIijBo1alg9ZoZhGH379jXc3NwKfC5ey/Dhww1fX18jNzfXMAzD2LRpkyHJ+P77763irnz9XenYsWOGnZ2d8eqrr1qV//jjj4a9vb1VeUFti4qKMmxsbIzjx49fV7uBwjCmMqYyppb9MdUwjHyP/Z49e/K97gzDMHJzc417773XCA0NNccqw/jreRIQEGD84x//yNeHIUOGmGXZ2dlGzZo1DRsbG+P11183y8+fP284Ozsb4eHhZln37t3zvU/cqEaNGhn9+vUz11988UWjWrVqRlZWltmvv/3tb0bv3r2ttst7Hl/5vlLc1154eLjh5+dnFSfJeOmll665r/j4eEOS8f7775tlee+PQUFB5nuSYRjGjBkzDEnGJ598Ypa1adPG6nn23//+17C1tbV63huGYSxevNiQZHz99df52oDbj/GS8ZLx8s4cL6/2/PPPWz03ivt6yNv3lWPE1a/1nJwco2bNmsbjjz9utd2cOXMMGxsb4+jRo8Xqww8//GBIMp5//vlixRf0dzaM/3sN573nnD9/Pt9rtiCF/X2v93nXsGFDqzHxiSeeMGxsbIxOnTpZ7Tc4ONhqPL6e78x573uLFy++Zp+ulpqaakgyunfvXqz4xMREQ5LxzDPPWJX/85//NCQZW7ZsMcuufp7k8fPzs/oclff8CQkJsfrMNnr0aMPOzs64cOGCWVbY3+RmMc1LOZJ3yVv16tWve9uFCxfqjz/+KPAXQWdnZ/P/ly9f1tmzZ9WiRQtJuqFfSO3t7fXss8+a6w4ODnr22Wd1+vRpJSQkSJLs7Ozk4OAg6a+zUs6dO6fs7Gzdf//9BR6zWbNmatCggXkG7/Hjx7V169Zr3oRg0KBB2rBhg5KTkyVJy5YtU3BwsP7+97/ni73yMfjzzz919uxZtWrVShcvXtRPP/1UrH5f/av+iBEjJP11k8mCjpOamqqzZ8+qTZs2Onr0qFJTU622v3jxos6ePavExES9/fbb8vLyytd2Ly8vhYWFaenSpeY2K1eu1NNPP52vfY6OjuYZHDk5Ofrjjz9UqVIl1a1bN99j3qFDBz377LOaNm2aevXqJScnJ/3nP/+xivn888/14IMPWk3hUalSJQ0ZMkTHjh3Ld8fwvP6eOHFCM2bMUG5urh555JECHsn88s7iKM5cbcU5eyY9PV25ubmqWrVqsY5/PZydnbV7926NGzdO0l9nnERERKhGjRoaMWJEsS5b/vzzz2VnZ6eRI0dalY8dO1aGYeiLL76wKm/Tpo3q169vrhuGoY8//lhdu3aVYRg6e/asuYSGhio1NfW6XtvZ2dn68MMP9fjjj5tnCeVdKhoTE1PgNkOHDrVaX716tXJzc/XYY49Ztcfb21v33nuv1eWEV75O0tPTdfbsWbVs2VKGYej7778vdruBa2FMZUxlTC37Y+r1SExM1OHDh/Xkk0/qjz/+MMeZ9PR0tW/fXtu3b893081nnnnG/L+dnZ3uv/9+GYZhdcaiu7u76tatq6NHj1qV/frrr9qzZ89NtXnv3r368ccf9cQTT5hlTzzxhM6ePauNGzdK+uuS6UcffVSff/650tLSzLgPP/xQf/vb36yeM7fitVfQvrKysvTHH3+oTp06cnd3L/B9ZciQIVZzsQ8bNkz29vZWr9mrrVq1SoGBgapXr57VZ4O853JBUw3g9mO8ZLxkvLw7xsu8s+v//PNPSdf/ergWW1tb9evXT59++qm5f0nmlVYBAQHF2o/FYpGkAqd3uRnOzs5ycHBQXFxcsaYgu9r1Pu+eeuopqzGxefPmMgzDvErmyvKTJ08qOztb0vV9Z5b+er4V9Lq7lut9jPPeS66+ee3YsWMl6abmVh8yZIjVVUitWrVSTk5OgVe53Gok08uR48ePy97e/ro/yKSmpuq1117TmDFjCrwk4ty5c3r++efl5eUlZ2dnVa9e3Xyzu3pwLQ4fH598NxvMG4CvnD9v2bJluu++++Tk5KSqVauqevXqWr9+faHHfPrpp80BOzo6Wi1bttS9995baDuaNGmihg0b6v3335dhGIqOji70jWb//v3q2bOn3Nzc5OrqqurVq5s37ijuY3B1W2rXri1bW1urPn/99dcKCQmRi4uL3N3dVb16dXOajKuPM23aNFWvXl1NmzbVsWPHFBcXV+Ab3tNPP60VK1YoIyNDq1atUpUqVQr8gJCbm6u5c+fq3nvvlaOjo6pVq6bq1atr7969BfZx1qxZ8vDwUGJiot544w15enpa1R8/frzAuc8CAwPN+iv16NFD1atXl5+fn6ZMmaKJEyeqd+/e+bYvyNmzZ1WhQoVi3UzjwoULknTNeeeqVq2qe++9V++88442bdqk06dP6+zZs7dsfk43NzfNmDFDx44d07Fjx/Tuu++qbt26evPNN/Xyyy8Xuf3x48fl4+OT7+9d2GN79YeTM2fO6MKFC1qyZImqV69uteS9Bk6fPl3s/mzatElnzpzRgw8+qCNHjujIkSNKSkpSu3bt9MEHH+RLThTUpsOHD8swDN1777352nTw4EGr9pw4cUIDBw6Uh4eHKlWqpOrVq6tNmzaSbuw9CSgIYypjKmPqnTGmFtfhw4cl/XUJ/dXjzDvvvKOMjIx8f5urLyF3c3OTk5OTqlWrlq/8yi/f48ePV6VKlfTggw/q3nvvVWRkZL552Ytj+fLlcnFx0T333GOOr05OTvL397f6sfrxxx/XpUuX9Omnn0qS0tLS9Pnnn+vRRx+1+hJ6K157eS5duqTJkyeb927Je45fuHChwH1d/ZqtVKmSatSoUegc69Jff7P9+/fn+3vlvcddz2cVlBzGS8ZLxsu7Y7zM+0H2yr/n9b4eruWpp57SpUuXzGk/Dh06pISEBA0YMKDY+8i7v9iVCflbwdHRUdOnT9cXX3whLy8vtW7dWjNmzDB/9CrK9T7vCvp8IUm+vr75ynNzc83H+3q+M0vS3/72N/MHkeK63sf4+PHjsrW1VZ06dazKvb295e7uflOJ76sfpypVqkjSDf3gcb2YM70cOXTokO655x6rm60Ux/Tp02Vra6tx48blu6GL9Nc8azt37tS4cePUpEkTVapUSbm5uerYsWOBSbJbYfny5Ro4cKB69OihcePGydPTU3Z2doqKijJv4Hi1/v3764UXXtCuXbu0bNkyTZw4scjjDBo0SG+99ZYefPBBJScn67HHHst3E6kLFy6oTZs2cnV11bRp01S7dm05OTnpu+++0/jx42/4Mbh6nr9ffvlF7du3V7169TRnzhz5+vrKwcFBn3/+uebOnVvg2VLt27fXr7/+qrlz56p3797auXOn+UacJywsTA4ODlq7dq2WLl2q8PDwAm8Q9Nprr2nSpEkaNGiQXn75ZXl4eMjW1lajRo0qsI/ff/+9+WZ99VlTN2LWrFlq3LixsrKytGfPHr3yyiuyt7cv1vxpx44dU61atQqdc/NKeQOit7f3NeM+/PBD9evXT6GhoVblV38Iv1l+fn4aNGiQevbsqXvuuUcxMTF65ZVXbukxrjzbRJL59+zfv7/Cw8ML3Oa+++4r9v7zvtA/9thjBdZv27ZN7dq1K7JNNjY2+uKLL8y5Xa+U98EzJydH//jHP3Tu3DmNHz9e9erVk4uLi3777TcNHDiwxN6TUP4wpjKmMqbeeWPqteQ97jNnzix0nterkxwFjUcFlUmyumFdYGCgDh06pHXr1mnDhg36+OOP9dZbb2ny5MmaOnVqsdprGIY++OADpaenW11dluf06dNKS0tTpUqV1KJFC/n7+2vlypV68skn9dlnn+nSpUt6/PHHzfhb/dobMWKEOSdycHCw3NzcZGNjo759+96y97Lc3Fw1atRIc+bMKbD+6qQDSgfjJeMl4+XdMV7u27dPdnZ25o9WN/J6uJb69esrKChIy5cv11NPPaXly5fLwcGh0O+QBalTp47s7e0LvM9CQQr72xR0E99Ro0apa9euWrt2rTZu3KhJkyYpKipKW7ZsUdOmTYvdxuIo7LNEUZ8xivudOc/V37mLw9XVVT4+Ptq3b991bVec10FhCrupcnE+c5UUkunlREZGhhITE61uflIcp06d0vz58xUVFaXKlSvn+yBz/vx5bd68WVOnTrW66UHe2T034tSpU0pPT7caEH7++WdJf92NV5I++ugj3XPPPVq9erXVi/Jag1rVqlXVrVs383K9vEtfrqVfv34aN26cnn/+efXp06fAX9Xj4uL0xx9/aPXq1eaNpSQpKSmpWP3Nc/jwYauzcY8cOaLc3Fyzz5999pkyMjL06aefWv0CV9glrHXq1DF//QsJCVGtWrW0YsUKDRs2zCrO3t5eAwYM0Kuvvqr9+/frvffeK3B/H330kdq1a6d3333XqvzChQv5zsBKT0/X008/rfr166tly5aaMWOGevbsqQceeMCM8fPz06FDh/IdJ++SxLwbceYJCgoy77zcqVMn/fbbb5o+fbomTZpU4AevPNnZ2frhhx/UsWPHQmOudODAAdnY2BR5x/CmTZvq7bffVqtWrTRt2jS1aNFCM2fOvKEzy4qjSpUqql27ttWgVdiA5Ofnpy+//FJ//vmn1XO2sMf2atWrV1flypWVk5OjkJCQm2p3enq6PvnkEz3++OPq06dPvvqRI0cqJiYmXzL9arVr15ZhGAoICCjwMtc8P/74o37++WctW7ZMTz31lFkeGxt7450ArsKYypjKmHrnjqmFjZ21a9eW9NeXxJsd+4rDxcVFjz/+uB5//HFlZmaqV69eevXVVzVhwoRiTQmwbds2/frrr5o2bZp5Zlue8+fPa8iQIVq7dq15lupjjz2m+fPny2Kx6MMPP5S/v785JYZ06157eT766COFh4dbJQAvX75snn15tcOHD1t9FkhLS9Pvv/+uzp07F3qM2rVr64cfflD79u1v6ks6Sg7jJeMl4+WdO15e6cSJE9q2bZuCg4PN5+ONvB6K8tRTT2nMmDH6/ffftWLFCoWFhZlnGxdHxYoV9cgjj2jLli06efJkkT+q5u376rGpsLOla9eurbFjx2rs2LE6fPiwmjRpotmzZ2v58uWSrv39/HqedzequN+Zb1aXLl20ZMkSxcfHKzg4+Jqxfn5+ys3N1eHDh60+r6SkpOjChQtWfa9SpUq+v0VmZqZ+//33G25rSX0+YJqXciLvEqr27dtf13ZTp06Vl5dXvvmL8+T9EnT1Lz/z5s27oXZKfw08V85tlpmZqf/85z+qXr26goKCCj3u7t27FR8ff819Dxo0SHv37tWjjz56zUuo8nh4eKh79+7au3dvvvmp8hTUlszMTL311ltF7v9KCxcutFpfsGCBpL8G7cKOk5qaal42eC15H9gKuwRs0KBB+vHHH9W6dWvdc889BcbY2dnl+zuvWrVKv/32W77Y8ePH68SJE1q2bJnmzJkjf39/hYeHWx2/c+fO+uabb6z+Zunp6VqyZIn8/f0LPMvqSpcuXVJ2drY5P1hhNm3apNTUVHXv3v2acdJfz72PP/5YDz74YJHPD4vFogEDBqhbt26aOHGiQkJCVKNGjSKPUZQffvihwA/Yx48f14EDB6w+YOV92L96wOncubNycnL05ptvWpXPnTtXNjY25nOqMHZ2durdu7c+/vjjAn9xPnPmTHG7ozVr1ig9PV2RkZHq06dPvqVLly76+OOPi7w8sVevXrKzs9PUqVPzPQ8NwzC/ZBX0OjEMQ/Pnzy92m4GiMKb+hTGVMfVaysKYWpDCxs6goCDVrl1bs2bNsppbPM/1jH1FuTox6ODgoPr168swDGVlZRVrH3lTvIwbNy7f2Dp48GDde++9+aZ6ycjI0LJly7Rhw4Z8Z/rdqtfelfu7+jm+YMGCQs8uW7JkiVXfFy1apOzs7Gt+Znnsscf022+/6e23385Xd+nSJaWnp99Q23HrMF7+hfGS8fJayup4mefcuXN64oknlJOTo3//+99m+Y2+Hq7liSeekI2NjZ5//nkdPXrU/EH4erz00ksyDEMDBgwocDxPSEjQsmXLJP2V6LWzs9P27dutYq5+HV28eNGcAz9P7dq1VblyZavnl4uLS4E/Gt/s8664ivud+Wa98MILcnFx0TPPPKOUlJR89b/88ov5/TvvR/Gr35/zrioLCwszy2rXrp3vb7FkyZJCPzsUR2F/k5vFmel3ufT0dC1YsEDTpk0zB6K8X83ypKSkKC0tTcuXL9c//vEPqznpNm3apJiYmELnUXJ1dTXni8rKytLf/vY3bdq06YbPYpH+mq9u+vTpOnbsmP7+97/rww8/VGJiopYsWWLehKFLly5avXq1evbsqbCwMCUlJWnx4sWqX79+gW+YeTp27KgzZ84U60NMnujoaC1cuDDfL995WrZsqSpVqig8PFwjR46UjY2N/vvf/173pSVJSUnq1q2bOnbsqPj4eC1fvlxPPvmkGjduLOmvG6o4ODioa9euevbZZ5WWlqa3335bnp6eVr/Uff7553rnnXfUsmVLeXh46OjRo3r77bfl4uKinj17FnjswMBAnT179pqX+XTp0kXTpk3T008/rZYtW+rHH39UTExMvg8+W7Zs0VtvvaWXXnpJzZo1kyQtXbpUbdu21aRJkzRjxgxJ0r/+9S998MEH6tSpk0aOHCkPDw8tW7ZMSUlJ+vjjj/P90h8bG6tff/3VvMQuJiZG3bp1u+YcXx9++KH++c9/ytHRUZcuXbJ67qempionJ0dr165Vjx499OWXX2rSpEnau3evPvvss0L3mScyMlKXLl3SO++8U2Ts9YiNjdVLL72kbt26qUWLFqpUqZKOHj2q9957TxkZGZoyZYoZm/fBfuTIkQoNDZWdnZ369u2rrl27ql27dvr3v/+tY8eOqXHjxtq0aZM++eQTjRo1yjz77lpef/11bd26Vc2bN9fgwYNVv359nTt3Tt99952+/PJLnTt3rlj9iYmJUdWqVdWyZcsC67t166a3335b69evV69evQrdT+3atfXKK69owoQJOnbsmHr06KHKlSsrKSlJa9as0ZAhQ/TPf/5T9erVU+3atfXPf/5Tv/32m1xdXfXxxx/flnnTcPdjTLXGmMqYmqesjqkFqV27ttzd3bV48WJVrlxZLi4uat68uQICAvTOO++oU6dOatCggZ5++mn97W9/02+//aatW7fK1dW1WH0pjg4dOsjb21sPPfSQvLy8dPDgQb355psKCwsr1g29MjIy9PHHH+sf//hHoWexd+vWTfPnz9fp06fl6empZs2aqU6dOvr3v/+tjIwMqylepFv32svTpUsX/fe//5Wbm5vq16+v+Ph4ffnll4XeOC8zM1Pt27fXY489pkOHDumtt97Sww8/rG7duhV6jAEDBmjlypUaOnSotm7dqoceekg5OTn66aeftHLlSm3cuFH333//DbUfN4fx0hrjJeNlnrI+Xv78889avny5DMOQxWLRDz/8oFWrViktLU1z5syxOtP+Rl8P11K9enV17NhRq1atkru7u1WitbhatmyphQsX6rnnnlO9evU0YMAA3Xvvvfrzzz8VFxenTz/91Jw21c3NTY8++qgWLFggGxsb1a5dW+vWrcs3t/jPP/9sjlH169eXvb291qxZo5SUFPXt29eMCwoK0qJFi/TKK6+oTp068vT01COPPHLdz7sbVdzvzLfiOCtWrNDjjz+uwMBAPfXUU2rYsKEyMzO1c+dOrVq1yrzRcuPGjRUeHq4lS5aY01N98803WrZsmXr06GF1VdozzzyjoUOHqnfv3vrHP/6hH374QRs3biz0fbA4Cvub3DQDd7WkpCRDUrGXrVu3GoZhGEuXLjUkGU2aNDFyc3Pz7W/p0qVm2a+//mr07NnTcHd3N9zc3IxHH33UOHXqlCHJeOmll8y4l156yZBknDlzptD2tmnTxmjQoIHx7bffGsHBwYaTk5Ph5+dnvPnmm1Zxubm5xmuvvWb4+fkZjo6ORtOmTY1169YZ4eHhhp+fX772zpw585qPz5X1RbWzoPqvv/7aaNGiheHs7Gz4+PgYL7zwgrFx40arx7Qwefs7cOCA0adPH6Ny5cpGlSpVjOHDhxuXLl2yiv3000+N++67z3BycjL8/f2N6dOnG++9954hyUhKSjIMwzD27dtndOjQwahatarh4OBg+Pr6Gn379jX27t1rtS9JRmRkZKHturr+8uXLxtixY40aNWoYzs7OxkMPPWTEx8cbbdq0Mdq0aWMYhmFYLBbDz8/PaNasmZGVlWW1v9GjRxu2trZGfHy8WfbLL78Yffr0Mdzd3Q0nJyfjwQcfNNatW2e13datW62eo/b29oafn58xcuRI4/z589d8bP38/Ip8zuc9X0aMGGG0bt3a2LBhQ7795P2N8nzwwQeGjY1Nvtjw8HDDxcXlmm0qytGjR43JkycbLVq0MDw9PQ17e3ujevXqRlhYmLFlyxar2OzsbGPEiBFG9erVDRsbG6s2/vnnn8bo0aMNHx8fo0KFCsa9995rzJw50+r1bBjXfh6kpKQYkZGRhq+vr1GhQgXD29vbaN++vbFkyZJi9SUlJcWwt7c3BgwYUGjMxYsXjYoVKxo9e/Y0DKPo19/HH39sPPzww4aLi4vh4uJi1KtXz4iMjDQOHTpkxhw4cMAICQkxKlWqZFSrVs0YPHiw8cMPP+R77wKuF2MqYypj6p01phpGwX+bTz75xKhfv75hb2+f7zX4/fffG7169TKqVq1qODo6Gn5+fsZjjz1mbN68OV8frn5eF9bmvNdinv/85z9G69atzWPUrl3bGDdunJGamlqsPn388ceGJOPdd98tNCYuLs6QZMyfP98s+/e//21IMurUqVPgNsV97V393mAYRr73qPPnzxtPP/20Ua1aNaNSpUpGaGio8dNPPxl+fn5GeHi4GZf3/rht2zZjyJAhRpUqVYxKlSoZ/fr1M/744w+rY1z5+siTmZlpTJ8+3WjQoIHh6OhoVKlSxQgKCjKmTp1a7McTtx7jJeMl4+WdOV7mLba2toa7u7vRtGlT4/nnnzf279+fL764r4e8fV/5usx7rec9f660cuVKQ5IxZMiQm+pPQkKC8eSTT5rfh6tUqWK0b9/eWLZsmZGTk2PGnTlzxujdu7dRsWJFo0qVKsazzz5r7Nu3z+o95+zZs0ZkZKRRr149w8XFxXBzczOaN29urFy50uqYycnJRlhYmFG5cmVDktWYdT3Pu1WrVlmV5z1ee/bssSov7H2jON+Zr/5sciN+/vlnY/DgwYa/v7/h4OBgVK5c2XjooYeMBQsWGJcvXzbjsrKyjKlTpxoBAQFGhQoVDF9fX2PChAlWMYZhGDk5Ocb48eONatWqGRUrVjRCQ0ONI0eOFPrZ4erHI+/xu/L971p/k5thYxi3YWZ2lJpjx44pICBAW7duNef6upm4kta2bVudPXv2um9mcCebMmWKpk6dqjNnztzUL27Iz9/fX1OmTDF/Fb1aXFycBg4caHW3egAoDGNq2ceYWnIYUwEUF+Nl2cd4WXIYL2/OJ598oh49emj79u1q1apVaTcHKBBzpgMAAAAAAAAoVW+//bbuuecePfzww6XdFKBQzJl+l6tUqZL69etnNQfdzcQBd5KePXtec35wLy+vQufwQ9HOnDlzzZuBODg4yMPD4za2CChZjKkozxhTb4+cnJwib3ZaqVKl65p7GbjdGC9RnjFe3pj//e9/2rt3r9avX6/58+fLxsbGqj41NVWXLl265j68vb1Lsol3vbS0tCLnu69evbp589nyjGleUKZwiR2X2OHO4e/vr+PHjxda36ZNG8XFxd2+BgGwwpjKmIo7T960F9fy0ksvWd2QHMDNYbxkvETps7GxUaVKlfT4449r8eLFsre3Pvd34MCBWrZs2TX3QXrz5uS9L1xLUlKS/P39b0+DyjCS6QCAG/L1119f8+yAKlWqKCgo6Da2CACAO9vly5f11VdfXTPmnnvu0T333HObWgQAQOk7cOCATp06dc2YkJCQ29Sau9PRo0d19OjRa8Y8/PDDcnJyuk0tKrtIpgMAAFNUVJRWr16tn376Sc7OzmrZsqWmT5+uunXrSrr2WZMrV67Uo48+Kkn5Ls2UpA8++EB9+/Y11+Pi4jRmzBjt379fvr6+mjhxYqE3awIAAAAAoLSRTL+G3NxcnTp1SpUrVy4wKQAAQFliGIb+/PNP+fj4yNb2xu4x3rFjR/Xt21cPPPCAsrOz9eKLL2rfvn06cOCAXFxcCpzPd8mSJZo5c6Z+//13cx5fGxsbLV26VB07djTj3N3dzTMZkpKS1LBhQw0dOlTPPPOMNm/erFGjRmn9+vUKDQ0tVlsZpwEAd4pbMUbfSRijAQB3iusdo0mmX8Ovv/4qX1/f0m4GAADX5eTJk6pZs+Yt2deZM2fk6empbdu2qXXr1gXGNG3aVM2aNdO7775rltnY2GjNmjXq0aNHgduMHz9e69evt5qftG/fvrpw4YI2bNhQ4DYZGRnKyMgw13/77TfVr1//BnoFAEDpuJVjdFnGd2kAwJ2muGO0fZER5VjlypUl/fVgurq6lnJrAAC4NovFIl9fX3P8uhVSU1MlSR4eHgXWJyQkKDExUQsXLsxXFxkZqWeeeUb33HOPhg4dqqeffto8Oy0+Pj7fvIahoaEaNWpUoW2Jiooq8KY4jNMAgLKuJMbosozv0gCAO8X1jtEk068h7wu/q6srHwAAAHeMW3U5dW5urkaNGqWHHnpIDRs2LDDm3XffVWBgoFq2bGlVPm3aND3yyCOqWLGiNm3apOeee05paWkaOXKkJCk5OVleXl5W23h5eclisejSpUtydnbOd6wJEyZozJgx5nrehx7GaQDAnaK8THnCd2kAwJ2muGM0yXQAAFCgyMhI7du3T1999VWB9ZcuXdKKFSs0adKkfHVXljVt2lTp6emaOXOmmUy/EY6OjnJ0dLzh7QEAAAAAuBl3/51PAADAdRs+fLjWrVunrVu3Fjpv3EcffaSLFy/qqaeeKnJ/zZs316+//mrOee7t7a2UlBSrmJSUFLm6uhZ4VjoAAAAAAKWNZDoAADAZhqHhw4drzZo12rJliwICAgqNfffdd9WtWzdVr169yP0mJiaqSpUq5pnlwcHB2rx5s1VMbGysgoODb64DAAAAAACUEJLpAADAFBkZqeXLl2vFihWqXLmykpOTlZycrEuXLlnFHTlyRNu3b9czzzyTbx+fffaZ3nnnHe3bt09HjhzRokWL9Nprr2nEiBFmzNChQ3X06FG98MIL+umnn/TWW29p5cqVGj16dIn3EQCAO9H27dvVtWtX+fj4yMbGRmvXrs0Xc/DgQXXr1k1ubm5ycXHRAw88oBMnTpj1ly9fVmRkpKpWrapKlSqpd+/e+a4UO3HihMLCwlSxYkV5enpq3Lhxys7OLunuAQBwRyCZDgAATIsWLVJqaqratm2rGjVqmMuHH35oFffee++pZs2a6tChQ759VKhQQQsXLlRwcLCaNGmi//znP5ozZ45eeuklMyYgIEDr169XbGysGjdurNmzZ+udd95RaGhoifcRAIA7UXp6uho3bqyFCxcWWP/LL7/o4YcfVr169RQXF6e9e/dq0qRJcnJyMmNGjx6tzz77TKtWrdK2bdt06tQp9erVy6zPyclRWFiYMjMztXPnTi1btkzR0dGaPHlyifcPAIA7gY1hGEZpN6KsslgscnNzU2pqKncgBwCUeeVt3Cpv/QUA3Llu9ZhlY2OjNWvWqEePHmZZ3759VaFCBf33v/8tcJvU1FRVr15dK1asUJ8+fSRJP/30kwIDAxUfH68WLVroiy++UJcuXXTq1Cl5eXlJkhYvXqzx48frzJkzcnBwKHDfGRkZ5n1R8vrr6+vLGA0AKPOud4zmzHQAAAAAAO5gubm5Wr9+vf7+978rNDRUnp6eat68udVUMAkJCcrKylJISIhZVq9ePdWqVUvx8fGSpPj4eDVq1MhMpEtSaGioLBaL9u/fX+jxo6Ki5ObmZi6+vr63vpMAAJQBJNMBAAAAALiDnT59WmlpaXr99dfVsWNHbdq0ST179lSvXr20bds2SVJycrIcHBzk7u5uta2Xl5eSk5PNmCsT6Xn1eXWFmTBhglJTU83l5MmTt7B3AACUHfal3QAAAAAAAHDjcnNzJUndu3c3b+bdpEkT7dy5U4sXL1abNm1K9PiOjo5ydHQs0WMAAFAWcGY6AAAAAAB3sGrVqsne3l7169e3Kg8MDNSJEyckSd7e3srMzNSFCxesYlJSUuTt7W3GpKSk5KvPqwMAoLwjmQ4AAAAAwB3MwcFBDzzwgA4dOmRV/vPPP8vPz0+SFBQUpAoVKmjz5s1m/aFDh3TixAkFBwdLkoKDg/Xjjz/q9OnTZkxsbKxcXV3zJeoBACiPmOYFwG2Vk5OjHTt26Pfff1eNGjXUqlUr2dnZlXazAAAo9xijgbItLS1NR44cMdeTkpKUmJgoDw8P1apVS+PGjdPjjz+u1q1bq127dtqwYYM+++wzxcXFSZLc3NwUERGhMWPGyMPDQ66urhoxYoSCg4PVokULSVKHDh1Uv359DRgwQDNmzFBycrImTpyoyMhIpnEBShFjNFB2kEwHcNusXr1aY8eO1bFjx8wyf39/zZ49W7169Sq9hgEAUM4xRgNl37fffqt27dqZ62PGjJEkhYeHKzo6Wj179tTixYsVFRWlkSNHqm7duvr444/18MMPm9vMnTtXtra26t27tzIyMhQaGqq33nrLrLezs9O6des0bNgwBQcHy8XFReHh4Zo2bdrt6ygAK4zRQNnCNC8AbovVq1erT58+atSokeLj4/Xnn38qPj5ejRo1Up8+fbR69erSbiIAAOUSYzRwZ2jbtq0Mw8i3REdHmzGDBg3S4cOHdenSJSUmJqp79+5W+3ByctLChQt17tw5paena/Xq1fnmQvfz89Pnn3+uixcv6syZM5o1a5bs7TkPDygNjNFA2WNjGIZR2o0oqywWi9zc3JSamipXV9fSbg5wx8rJyVGdOnXUqFEjrV27Vra2//c7Xm5urnr06KF9+/bp8OHDXKoG3ITyNm6Vt/4CJYExGrg9ytuYVd76C5QExmjg9rjeMYsz0wGUuB07dujYsWN68cUXZRiG4uLi9MEHHyguLk6GYWjChAlKSkrSjh07SrupAACUK4zRAACUTVeO0Vcm0iXJ1taWMRooJVyrBaDE/f7775KkX375RU888US+ud5eeeUVqzgAAHB7MEYDAFA25Y29DRs2LLA+r5wxGri9ODMdQImrUaOGJGnAgAEFzvU2YMAAqzgAAHB7MEYDAFA25Y29+/btK7A+r5wxGri9mDP9GpjnDbg1MjMz5eLioqpVq+rXX3+1uoFRdna2atasqT/++EPp6elycHAoxZYCd7byNm6Vt/4CJYExGrg9ytuYVd76C5SEK+dM//jjj/X111/r999/V40aNfTQQw+pd+/ezJkO3ALMmQ6gzNm5c6eys7OVkpKiXr16WZ311qtXL6WkpCg7O1s7d+4s7aYCAFCuMEYDAFA22dnZafbs2Vq3bp3c3NzUrl07Pfnkk2rXrp3c3Ny0bt06zZo1i0Q6cJuVSjI9KipKDzzwgCpXrixPT0/16NFDhw4dMuvPnTunESNGqG7dunJ2dlatWrU0cuRIpaamWu3nxIkTCgsLU8WKFeXp6alx48YpOzvbKiYuLk7NmjWTo6Oj6tSpo+jo6NvRRQBXyJvDbfny5frxxx/VsmVLubq6qmXLltq3b5+WL19uFQcAAG4PxmgAAMq2giaUsLGxKbAcQMkrlWT6tm3bFBkZqV27dik2NlZZWVnq0KGD0tPTJUmnTp3SqVOnNGvWLO3bt0/R0dHasGGDIiIizH3k5OQoLCxMmZmZ2rlzp5YtW6bo6GhNnjzZjElKSlJYWJjatWunxMREjRo1Ss8884w2btx42/sMlGd5c7jVrl1bR44c0datW7VixQpt3bpVhw8f1j333GMVBwAAbg/GaAAAyqacnByNHTtWXbt2VWpqqtUYfeHCBXXt2lX//Oc/lZOTU9pNBcqVMjFn+pkzZ+Tp6alt27apdevWBcasWrVK/fv3V3p6uuzt7fXFF1+oS5cuOnXqlLy8vCRJixcv1vjx43XmzBk5ODho/PjxWr9+vdXNGvr27asLFy5ow4YNRbaLed6AW+PKud7Wrl0rW9v/+x0vNzdXPXr0YK434BYob+NWeesvUBKYjxW4PcrbmFXe+guUhLi4OLVr107x8fFq0aJFvvr4+Hi1bNlSW7duVdu2bW9/A4G7xPWOWfZFRtwGedO3eHh4XDPG1dXVvClSfHy8GjVqZCbSJSk0NFTDhg3T/v371bRpU8XHxyskJMRqP6GhoRo1alSBx8jIyFBGRoa5brFYbrRLAK6QN9dbnz591KNHD02YMEENGzbUvn37FBUVpXXr1umjjz7iSzoAALfZlWO0m5ubLl26ZNY5Ozvr8uXLjNEAAJSCvCn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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "visualize_outliers(df)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Устраняем выбросы, если они имеются" + ] + }, + { + "cell_type": "code", + "execution_count": 196, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Колонки с выбросами:\n", + "Store_Area\n", + "Items_Available\n", + "Daily_Customer_Count\n", + "Store_Sales\n" + ] + } + ], + "source": [ + "df = remove_outliers(df, columns_with_outliers)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Проверим наличие выбросов и визуализируем" + ] + }, + { + "cell_type": "code", + "execution_count": 197, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Колонка Store_Area:\n", + "\tЕсть выбросы: Нет\n", + "\tКоличество выбросов: 0\n", + "\tМинимальное значение: 811.625\n", + "\tМаксимальное значение: 2158.625\n", + "\t1-й квартиль (Q1): 1316.75\n", + "\t3-й квартиль (Q3): 1653.5\n", + "\n", + "Колонка Items_Available:\n", + "\tЕсть выбросы: Нет\n", + "\tКоличество выбросов: 0\n", + "\tМинимальное значение: 964.625\n", + "\tМаксимальное значение: 2593.625\n", + "\t1-й квартиль (Q1): 1575.5\n", + "\t3-й квартиль (Q3): 1982.75\n", + "\n", + "Колонка Daily_Customer_Count:\n", + "\tЕсть выбросы: Нет\n", + "\tКоличество выбросов: 0\n", + "\tМинимальное значение: 45.0\n", + "\tМаксимальное значение: 1525.0\n", + "\t1-й квартиль (Q1): 600.0\n", + "\t3-й квартиль (Q3): 970.0\n", + "\n", + "Колонка Store_Sales:\n", + "\tЕсть выбросы: Нет\n", + "\tКоличество выбросов: 0\n", + "\tМинимальное значение: 14920.0\n", + "\tМаксимальное значение: 109886.25\n", + "\t1-й квартиль (Q1): 46530.0\n", + "\t3-й квартиль (Q3): 71872.5\n", + "\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "check_outliers(df)\n", + "visualize_outliers(df)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1393,7 +1605,7 @@ }, { "cell_type": "code", - "execution_count": 64, + "execution_count": 168, "metadata": {}, "outputs": [ { @@ -1510,7 +1722,7 @@ "charges 16577.7795 63770.42801 " ] }, - "execution_count": 64, + "execution_count": 168, "metadata": {}, "output_type": "execute_result" } @@ -1523,7 +1735,7 @@ }, { "cell_type": "code", - "execution_count": 65, + "execution_count": 169, "metadata": {}, "outputs": [ {