From 0cca68d062deb57f7f2b7b0112a8617f47cb9c8d Mon Sep 17 00:00:00 2001 From: Anton Date: Sat, 26 Oct 2024 13:38:50 +0400 Subject: [PATCH 1/4] lab 1 is done --- README.md | 1 + lab1/lab1.ipynb | 86 ++++++++++++++++++++++++++++++++++++++++ lab1/requirements.txt | Bin 0 -> 1142 bytes lab1/Сваггер.png | Bin 0 -> 65729 bytes 4 files changed, 87 insertions(+) create mode 100644 lab1/lab1.ipynb create mode 100644 lab1/requirements.txt create mode 100644 lab1/Сваггер.png diff --git a/README.md b/README.md index f7dff98..675eb9c 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,3 @@ # AIM-PIbd-32-Smirnov-A-A +ПИбд-32, Смирнов Антон Андреевич, вариант 21 Cсылка на dataset: https://www.kaggle.com/datasets/imakash3011/customer-personality-analysis \ No newline at end of file diff --git a/lab1/lab1.ipynb b/lab1/lab1.ipynb new file mode 100644 index 0000000..32e3608 --- /dev/null +++ b/lab1/lab1.ipynb @@ -0,0 +1,86 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Начало лабораторной \n", + "\n", + "Выгрузка данных из csv файла в датафрейм" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['ID', 'Year_Birth', 'Education', 'Marital_Status', 'Income', 'Kidhome',\n", + " 'Teenhome', 'Dt_Customer', 'Recency', 'MntWines', 'MntFruits',\n", + " 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n", + " 'MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases',\n", + " 'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth',\n", + " 'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'AcceptedCmp1',\n", + " 'AcceptedCmp2', 'Complain', 'Z_CostContact', 'Z_Revenue', 'Response'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import numpy as np\n", + "\n", + "df = pd.read_csv(\"..//..//static//csv//marketing_campaign.csv\", sep=\"\\t\")\n", + "\n", + "print (df.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Эта гистограмма в диапазоне с " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Out " + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "aimenv", + "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": "3.12.7" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/lab1/requirements.txt b/lab1/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..382accda07d54c50ee5c10fade35f8bf85c8d65a GIT binary patch literal 1142 zcmZXTYf=J1421LBDvyH2E2xwb-&5OL 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На оси X указаны годы рождения, разбитые на 100 интервалов, чтобы отобразить каждый год с большей детализацией. На оси Y показано количество записей (частота) для каждого года. Анализируя гистограмму по столбцу \"Year_Birth\", можно сделать выводы о возрастной структуре клиентов. Например, можно увидеть, что большинство клиентов родились между 1950 и 1980 годами, а количество рождений до 1940 года и после 1980 года значительно ниже." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data.plot.hist(column=[\"Year_Birth\"], bins=100)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Данная гистограмма отображает распределение доходов среди клиентов. На оси X указаны значения доходов, разбитые на 50 интервалов, что позволяет увидеть, как доходы распределены по разным уровням. На оси Y указано количество записей (частота) в каждом интервале дохода. Анализируя гистограмму \"Income\", можно сделать вывод о том, как варьируются доходы. Например, мы можем увидеть, что большинство клиентов имеют доход в пределах определенного диапазона, и только небольшая часть имеет более высокий доход." + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "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=(10, 6))\n", + "data[\"Income\"].plot.hist(bins=50, color='skyblue', edgecolor='black')\n", + "plt.title(\"Распределение доходов среди клиентов\")\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Данная круговая диаграмма отображает распределение клиентов по их семейному положению. На ней представлены различные категории семейного положения, такие как Married, Together, Single, Divorced и Widow, каждая из которых окрашена в отдельный цвет и подписана соответствующим процентом от общего числа клиентов. Анализируя эту диаграмму, можно сделать вывод о том, что наибольшую долю клиентов составляют Married (38.7%) и Together (26.0%), что указывает на преобладание семейных или живущих вместе клиентов. " + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "filtered_data = data[data[\"Marital_Status\"].isin([\"Married\", \"Together\", \"Single\", \"Divorced\", \"Widow\"])]\n", + "\n", + "plt.figure(figsize=(8, 8)) \n", + "filtered_data[\"Marital_Status\"].value_counts().plot(\n", + " kind=\"pie\", \n", + " autopct='%1.1f%%', \n", + " colors=['salmon', 'skyblue', 'lightgreen', 'orange', 'purple'], \n", + ")\n", + "plt.title(\"Распределение клиентов по семейному положению (без YOLO и Absurd)\")\n", + "plt.ylabel(\"\") \n", + "plt.show()\n" ] } ], From a014ef708113e1d5b5d95fd619f8faa1bbfbe2f8 Mon Sep 17 00:00:00 2001 From: Anton Date: Sat, 26 Oct 2024 14:00:22 +0400 Subject: [PATCH 3/4] lab 1 end --- lab1/{Сваггер.png => image.png} | Bin lab1/lab1.ipynb | 33 ++++++++++++------------- lab1/requirements.txt | Bin 1142 -> 0 bytes 3 files changed, 16 insertions(+), 17 deletions(-) rename lab1/{Сваггер.png => image.png} (100%) delete mode 100644 lab1/requirements.txt diff --git a/lab1/Сваггер.png b/lab1/image.png similarity index 100% rename from lab1/Сваггер.png rename to lab1/image.png diff --git a/lab1/lab1.ipynb b/lab1/lab1.ipynb index 06cd5df..40bf4aa 100644 --- a/lab1/lab1.ipynb +++ b/lab1/lab1.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -47,7 +47,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -80,29 +80,19 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Данная гистограмма отображает распределение значений года рождения среди клиентов. На оси X указаны годы рождения, разбитые на 100 интервалов, чтобы отобразить каждый год с большей детализацией. На оси Y показано количество записей (частота) для каждого года. Анализируя гистограмму по столбцу \"Year_Birth\", можно сделать выводы о возрастной структуре клиентов. Например, можно увидеть, что большинство клиентов родились между 1950 и 1980 годами, а количество рождений до 1940 года и после 1980 года значительно ниже." + "Данная столбчатая диаграмма отображает распределение количества клиентов по годам их рождения. На оси X указаны конкретные годы рождения, а на оси Y — количество клиентов, родившихся в соответствующем году. Анализируя диаграмму, можно сделать выводы о возрастной структуре клиентской базы. Видно, что пик рождаемости среди клиентов приходится на период с 1950 по 1980 годы, что может указывать на преобладание клиентов среднего возраста." ] }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { + "image/png": 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", "text/plain": [ - "" - ] - }, - "execution_count": 13, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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dO5SQkNCgtQIAgObBo2d7zZw5U3379tXTTz+tO++8U1988YVWrlyplStXSpJsNptmzJihJ598Up06dVJcXJzmzZun6OhojRgxwpOlAwCAJsqj4eemm27Spk2bNGfOHC1YsEBxcXFKS0vT2LFj7W1mzZql0tJSTZ48WadPn1b//v2VkZGhFi1aeLByAADQVHk0/EjSHXfcoTvuuOOS+202mxYsWKAFCxY0YFUAAKC58vjtLQAAABoS4QcAABiF8AMAAIxC+AEAAEYh/AAAAKMQfgAAgFEIPwAAwCiEHwAAYBTCDwAAMArhBwAAGIXwAwAAjEL4AQAARiH8AAAAozh1V/cjR47o6quvdnUtAGCs2NnvOzw/9kyShyoBmj+nZn46duyoW2+9VX//+99VVlbm6poAAADcxqnws2fPHl1//fVKSUlRZGSkpkyZoi+++MLVtQEAALicU+Hnxhtv1EsvvaT8/HytXr1aBQUF6t+/v+Lj47V48WL98MMPrq4TAADAJa5owbOPj49GjRqlDRs2aNGiRTp06JAeeeQRxcTEaNy4cSooKHBVnQAAAC5xReFn165devDBBxUVFaXFixfrkUce0eHDh7Vlyxbl5+dr+PDhrqoTAADAJZw622vx4sVKT09Xbm6ubr/9dq1bt0633367vLwuZKm4uDitWbNGsbGxrqwVAADgijkVfpYtW6b77rtPEyZMUFRUVJ1twsPD9dprr11RcQAAAK7mVPg5ePDgb7bx8/PT+PHjnekeAFAHrgXUMBjn5s+pNT/p6enasGFDre0bNmzQ2rVrr7goAAAAd3Eq/KSmpuqqq66qtT08PFxPP/30FRcFAADgLk6Fn7y8PMXFxdXa3qFDB+Xl5V1xUQAAAO7i1Jqf8PBwffnll7XO5tq3b5/CwsJcURcANHoXrw2RWB/S2NX1ZwbzODXzM2bMGE2bNk1ZWVmqqqpSVVWVtm7dqunTp+vuu+92dY0AAAAu49TMz8KFC3Xs2DENGjRIPj4Xuqiurta4ceNY8wMAABo1p8KPn5+f3nzzTS1cuFD79u1TQECAunfvrg4dOri6PgAAAJdyKvzUuPbaa3Xttde6qhYAQD00tjVHrKdBU+FU+KmqqtKaNWuUmZmpkydPqrq62mH/1q1bXVIcAACAqzkVfqZPn641a9YoKSlJ8fHxstlsrq4LAADALZwKP+vXr9dbb72l22+/3dX1AAAAuJXTC547duzo6loAoNlpbOtynNVc3gcgOXmdn4cfflgvvfSSLMtydT0AAABu5dTMz6effqqsrCx98MEH6tatm3x9fR32b9y40SXFAQAAuJpT4Sc0NFQjR450dS0AYAR3nhLO6ebAb3Mq/KSnp7u6DgAAgAbh1JofSTp//rw++ugjrVixQmfOnJEk5efn6+zZsy4rDgAAwNWcmvk5fvy4hg4dqry8PJWXl+vf/u3fFBQUpEWLFqm8vFzLly93dZ0AAAAu4dTMz/Tp09W7d2/9/PPPCggIsG8fOXKkMjMzXVYcAACAqzk18/PJJ5/os88+k5+fn8P22NhYff/99y4pDAAAwB2cmvmprq5WVVVVre3fffedgoKCrrgoAAAAd3Eq/AwePFhpaWn25zabTWfPntVjjz3GLS8AAECj5tTPXi+88IKGDBmi6667TmVlZbrnnnt08OBBXXXVVfrHP/7h6hoBAABcxqnw065dO+3bt0/r16/Xl19+qbNnz2rSpEkaO3aswwJoAACAxsap8CNJPj4+uvfee11ZCwAAgNs5FX7WrVv3q/vHjRvnVDEAAADu5lT4mT59usPzyspKnTt3Tn5+fgoMDCT8AACARsups71+/vlnh8fZs2eVm5ur/v37s+AZAAA0ak7f2+tinTp10jPPPFNrVggAAKAxcVn4kS4sgs7Pz3dllwAAAC7l1JqfzZs3Ozy3LEsFBQV65ZVX1K9fP5cUBgBwj9jZ7zs8P/ZMkocqaT4uHlOJcW3MnAo/I0aMcHhus9nUtm1bDRw4UC+88IIr6gIAAHALp8JPdXW1q+sAAABoEC5d8wMAANDYOTXzk5KSctltFy9e7MwhAACNXF3rXICmwKnwk5OTo5ycHFVWVqpz586SpAMHDsjb21s9e/a0t7PZbK6pEgAAwEWcCj/Dhg1TUFCQ1q5dq9atW0u6cOHDiRMn6uabb9bDDz/s0iIBAABcxak1Py+88IJSU1PtwUeSWrdurSeffJKzvQAAQKPm1MxPSUmJfvjhh1rbf/jhB505c+aKiwKAxqgh17iwngZwH6dmfkaOHKmJEydq48aN+u677/Tdd9/p7bff1qRJkzRq1ChX1wgAAOAyTs38LF++XI888ojuueceVVZWXujIx0eTJk3Sc88959ICAQAAXMmp8BMYGKhXX31Vzz33nA4fPixJuuaaa9SyZUuXFgcAAOBqToWfGgUFBSooKNAtt9yigIAAWZbF6e0A0MSwvsg9nLmHGvcIaxhOrfn56aefNGjQIF177bW6/fbbVVBQIEmaNGkSp7kDAIBGzanwM3PmTPn6+iovL0+BgYH27XfddZcyMjJcVhwAAICrOfWz13//93/rww8/VLt27Ry2d+rUScePH3dJYQAAAO7g1MxPaWmpw4xPjVOnTsnf39+pQp555hnZbDbNmDHDvq2srEzJyckKCwtTq1atNHr0aBUVFTnVPwAAgORk+Ln55pu1bt06+3Obzabq6mo9++yzuvXWW+vd386dO7VixQpdf/31Dttnzpypd999Vxs2bND27duVn5/PdYQAAMAVcepnr2effVaDBg3Srl27VFFRoVmzZunrr7/WqVOn9K9//atefZ09e1Zjx47VqlWr9OSTT9q3FxcX67XXXtMbb7yhgQMHSpLS09PVtWtXff755/rDH/7gTOkAAMBwTs38xMfH68CBA+rfv7+GDx+u0tJSjRo1Sjk5Obrmmmvq1VdycrKSkpKUmJjosH337t2qrKx02N6lSxe1b99e2dnZl+yvvLxcJSUlDg8AAIAa9Z75qays1NChQ7V8+XL953/+5xUdfP369dqzZ4927txZa19hYaH8/PwUGhrqsD0iIkKFhYWX7DM1NVVPPPHEFdUFAACar3rP/Pj6+urLL7+84gOfOHFC06dP1+uvv64WLVpccX815syZo+LiYvvjxIkTLusbAAA0fU797HXvvffqtddeu6ID7969WydPnlTPnj3l4+MjHx8fbd++XUuWLJGPj48iIiJUUVGh06dPO7yuqKhIkZGRl+zX399fwcHBDg8AAIAaTi14Pn/+vFavXq2PPvpIvXr1qnVPr8WLF/9mH4MGDdJXX33lsG3ixInq0qWL/vKXvygmJka+vr7KzMzU6NGjJUm5ubnKy8tTQkKCM2UDAADUL/wcOXJEsbGx2r9/v3r27ClJOnDggEOby723V1BQkOLj4x22tWzZUmFhYfbtkyZNUkpKitq0aaPg4GA99NBDSkhI4EwvAECD4d5nzU+9wk+nTp1UUFCgrKwsSRduZ7FkyRJFRES4pbgXX3xRXl5eGj16tMrLyzVkyBC9+uqrbjkWAAAwQ73Cj2VZDs8/+OADlZaWuqyYbdu2OTxv0aKFli5dqqVLl7rsGAAAwGxOLXiucXEYAgAAaOzqNfNjs9lqrem53DU+AACYrK61Q8eeSfJAJaj3z14TJkyw37y0rKxMf/7zn2ud7bVx40bXVQgAAOBC9Qo/48ePd3h+7733urQYAAAAd6tX+ElPT3dXHQAAAA3iihY8AwAANDWEHwAAYBTCDwAAMArhBwAAGIXwAwAAjEL4AQAARiH8AAAAoxB+AACAUep1kUMAwK+r6/5NABoXZn4AAIBRCD8AAMAohB8AAGAUwg8AADAK4QcAABiF8AMAAIxC+AEAAEYh/AAAAKMQfgAAgFEIPwAAwCiEHwAAYBTu7QUAgIdwLzjPYOYHAAAYhfADAACMQvgBAABGIfwAAACjEH4AAIBRCD8AAMAohB8AAGAUrvMDAKp9vZVjzyR5qBKg/vj81g8zPwAAwCiEHwAAYBTCDwAAMAprfgCgDtxzCY0Vn80rx8wPAAAwCuEHAAAYhfADAACMQvgBAABGIfwAAACjEH4AAIBRONUdAIBGjFPbXY+ZHwAAYBTCDwAAMArhBwAAGIXwAwAAjEL4AQAARiH8AAAAoxB+AACAUQg/AADAKIQfAABgFMIPAAAwCuEHAAAYhfADAACMQvgBAABGIfwAAACjEH4AAIBRCD8AAMAohB8AAGAUwg8AADAK4QcAABiF8AMAAIxC+AEAAEYh/AAAAKMQfgAAgFE8Gn5SU1N10003KSgoSOHh4RoxYoRyc3Md2pSVlSk5OVlhYWFq1aqVRo8eraKiIg9VDKA5iJ39fq0HAHN4NPxs375dycnJ+vzzz7VlyxZVVlZq8ODBKi0ttbeZOXOm3n33XW3YsEHbt29Xfn6+Ro0a5cGqAQBAU+bjyYNnZGQ4PF+zZo3Cw8O1e/du3XLLLSouLtZrr72mN954QwMHDpQkpaenq2vXrvr888/1hz/8wRNlAwCAJqxRrfkpLi6WJLVp00aStHv3blVWVioxMdHepkuXLmrfvr2ys7Pr7KO8vFwlJSUODwAAgBqNJvxUV1drxowZ6tevn+Lj4yVJhYWF8vPzU2hoqEPbiIgIFRYW1tlPamqqQkJC7I+YmBh3lw4AAJqQRhN+kpOTtX//fq1fv/6K+pkzZ46Ki4vtjxMnTrioQgAA0Bx4dM1PjalTp+q9997Txx9/rHbt2tm3R0ZGqqKiQqdPn3aY/SkqKlJkZGSdffn7+8vf39/dJQMAgCbKozM/lmVp6tSp2rRpk7Zu3aq4uDiH/b169ZKvr68yMzPt23Jzc5WXl6eEhISGLhcAADQDHp35SU5O1htvvKF//vOfCgoKsq/jCQkJUUBAgEJCQjRp0iSlpKSoTZs2Cg4O1kMPPaSEhATO9AIAAE7xaPhZtmyZJGnAgAEO29PT0zVhwgRJ0osvvigvLy+NHj1a5eXlGjJkiF599dUGrhQAADQXHg0/lmX9ZpsWLVpo6dKlWrp0aQNUBAAAmrtGc7YXAABAQ2gUZ3sBAADXqet+dceeSfJAJY0TMz8AAMAohB8AAGAUwg8AADAK4QcAABiF8AMAAIxC+AEAAEYh/AAAAKNwnR8AzUpd1zcBgP+LmR8AAGAUwg8AADAK4QcAABiFNT8AABjg4vVwJt/ri5kfAABgFMIPAAAwCuEHAAAYhfADAACMQvgBAABGIfwAAACjEH4AAIBRuM4PAAAGqus+eKZc+4eZHwAAYBTCDwAAMArhBwAAGIXwAwAAjEL4AQAARiH8AAAAoxB+AACAUQg/AADAKIQfAABgFMIPAAAwCuEHAAAYhfADAACMQvgBAABGIfwAAACjEH4AAIBRCD8AAMAohB8AAGAUwg8AADAK4QcAABjFx9MFAMCViJ39vqdLANDEMPMDAACMQvgBAABGIfwAAACjsOYHQKPFeh6g8bn47+WxZ5I8VInzmPkBAABGIfwAAACjEH4AAIBRCD8AAMAohB8AAGAUwg8AADAK4QcAABiF6/wAAABJzeMaPpeDmR8AAGAUwg8AADAK4QcAABiF8AMAAIxC+AEAAEYh/AAAAKNwqjsAAKjTxae+NxfM/AAAAKMQfgAAgFEIPwAAwCiEHwAAYBTCDwAAMArhBwAAGIXwAwAAjNIkrvOzdOlSPffccyosLNQNN9ygl19+Wb///e89XVad1z849kyS2/p217EAd+PzDKAxafQzP2+++aZSUlL02GOPac+ePbrhhhs0ZMgQnTx50tOlAQCAJqjRh5/Fixfr/vvv18SJE3Xddddp+fLlCgwM1OrVqz1dGgAAaIIa9c9eFRUV2r17t+bMmWPf5uXlpcTERGVnZ9f5mvLycpWXl9ufFxcXS5JKSkpcXl91+bla21x1nLr6dtexAHdz9vN8Oa8D4Fnu+i6q6deyLJf33ajDz48//qiqqipFREQ4bI+IiND//M//1Pma1NRUPfHEE7W2x8TEuKXGi4WkNchhGvxYgLvxeQaaJnf/3T1z5oxCQkJc2mejDj/OmDNnjlJSUuzPq6urderUKYWFhclms3mwMtcpKSlRTEyMTpw4oeDgYE+X0+wwvu7D2LoX4+s+jK171TW+lmXpzJkzio6OdvnxGnX4ueqqq+Tt7a2ioiKH7UVFRYqMjKzzNf7+/vL393fYFhoa6q4SPSo4OJi/hG7E+LoPY+tejK/7MLbudfH4unrGp0ajXvDs5+enXr16KTMz076turpamZmZSkhI8GBlAACgqWrUMz+SlJKSovHjx6t37976/e9/r7S0NJWWlmrixImeLg0AADRBjT783HXXXfrhhx80f/58FRYW6sYbb1RGRkatRdAm8ff312OPPVbr5z24BuPrPoytezG+7sPYuldDj6/Ncsc5ZAAAAI1Uo17zAwAA4GqEHwAAYBTCDwAAMArhBwAAGIXw4yEff/yxhg0bpujoaNlsNr3zzjsO+4uKijRhwgRFR0crMDBQQ4cO1cGDBx3alJWVKTk5WWFhYWrVqpVGjx5d64KQeXl5SkpKUmBgoMLDw/Xoo4/q/Pnz7n57Hnel43vq1Ck99NBD6ty5swICAtS+fXtNmzbNfq+4GiaOrys+uzUsy9Jtt91WZz8mjq3kuvHNzs7WwIED1bJlSwUHB+uWW27RL7/8Yt9/6tQpjR07VsHBwQoNDdWkSZN09uxZd789j3LF2BYWFupPf/qTIiMj1bJlS/Xs2VNvv/22QxsTxzY1NVU33XSTgoKCFB4erhEjRig3N9ehjau+s7Zt26aePXvK399fHTt21Jo1a+pdL+HHQ0pLS3XDDTdo6dKltfZZlqURI0boyJEj+uc//6mcnBx16NBBiYmJKi0ttbebOXOm3n33XW3YsEHbt29Xfn6+Ro0aZd9fVVWlpKQkVVRU6LPPPtPatWu1Zs0azZ8/v0Heoydd6fjm5+crPz9fzz//vPbv3681a9YoIyNDkyZNsvdj6vi64rNbIy0trc7bzpg6tpJrxjc7O1tDhw7V4MGD9cUXX2jnzp2aOnWqvLz+95/8sWPH6uuvv9aWLVv03nvv6eOPP9bkyZMb5D16iivGdty4ccrNzdXmzZv11VdfadSoUbrzzjuVk5Njb2Pi2G7fvl3Jycn6/PPPtWXLFlVWVmrw4MEu/846evSokpKSdOutt2rv3r2aMWOG/uM//kMffvhh/Qq24HGSrE2bNtmf5+bmWpKs/fv327dVVVVZbdu2tVatWmVZlmWdPn3a8vX1tTZs2GBv8+2331qSrOzsbMuyLOu//uu/LC8vL6uwsNDeZtmyZVZwcLBVXl7u5nfVeDgzvnV56623LD8/P6uystKyLMbXsq5sbHNycqzf/e53VkFBQa1+GNsLnB3fPn36WHPnzr1kv998840lydq5c6d92wcffGDZbDbr+++/d+2baKScHduWLVta69atc+irTZs29jaM7QUnT560JFnbt2+3LMt131mzZs2yunXr5nCsu+66yxoyZEi96mPmpxEqLy+XJLVo0cK+zcvLS/7+/vr0008lSbt371ZlZaUSExPtbbp06aL27dsrOztb0oX/++vevbvDBSGHDBmikpISff311w3xVhqlyxnfuhQXFys4OFg+PheuDcr41na5Y3vu3Dndc889Wrp0aZ336WNs63Y543vy5Ent2LFD4eHh6tu3ryIiIvTHP/7RYfyzs7MVGhqq3r1727clJibKy8tLO3bsaKB307hc7me3b9++evPNN3Xq1ClVV1dr/fr1Kisr04ABAyQxtjVqlgi0adNGkuu+s7Kzsx36qGlT08flIvw0QjUfiDlz5ujnn39WRUWFFi1apO+++04FBQWSLvzu7OfnV+umrRERESosLLS3ufhK2DXPa9qY6HLG92I//vijFi5c6DB1zfjWdrljO3PmTPXt21fDhw+vsx/Gtm6XM75HjhyRJD3++OO6//77lZGRoZ49e2rQoEH29SuFhYUKDw936NvHx0dt2rQxdnwv97P71ltvqbKyUmFhYfL399eUKVO0adMmdezYURJjK124B+eMGTPUr18/xcfHS3Ldd9al2pSUlDisafsthJ9GyNfXVxs3btSBAwfUpk0bBQYGKisrS7fddpvDb/ZwTn3Ht6SkRElJSbruuuv0+OOPN3zBTcjljO3mzZu1detWpaWlebbYJuhyxre6ulqSNGXKFE2cOFE9evTQiy++qM6dO2v16tWeLL9Ru9x/F+bNm6fTp0/ro48+0q5du5SSkqI777xTX331lQerb1ySk5O1f/9+rV+/3tOlXBLfpI1Ur169tHfvXp0+fVoFBQXKyMjQTz/9pKuvvlqSFBkZqYqKCp0+fdrhdUVFRfafESIjI2utpK95XtdPDSb5rfGtcebMGQ0dOlRBQUHatGmTfH197fsY37r91thu3bpVhw8fVmhoqHx8fOw/I44ePdr+0wFje2m/Nb5RUVGSpOuuu87hdV27dlVeXp6kC2N48uRJh/3nz5/XqVOnjB7f3xrbw4cP65VXXtHq1as1aNAg3XDDDXrsscfUu3dv+yJq08d26tSpeu+995SVlaV27drZt7vqO+tSbYKDgxUQEHDZdRJ+GrmQkBC1bdtWBw8e1K5du+w/E/Tq1Uu+vr7KzMy0t83NzVVeXp4SEhIkSQkJCfrqq68c/iJu2bJFwcHBtf5hNNWlxle6MOMzePBg+fn5afPmzQ5rASTG97dcamxnz56tL7/8Unv37rU/JOnFF19Uenq6JMb2clxqfGNjYxUdHV3rNOMDBw6oQ4cOki6M7+nTp7V79277/q1bt6q6ulp9+vRpuDfRSF1qbM+dOydJtWaIvb297TNupo6tZVmaOnWqNm3apK1btyouLs5hv6u+sxISEhz6qGlT00d9CoYHnDlzxsrJybFycnIsSdbixYutnJwc6/jx45ZlXTizKCsryzp8+LD1zjvvWB06dLBGjRrl0Mef//xnq3379tbWrVutXbt2WQkJCVZCQoJ9//nz5634+Hhr8ODB1t69e62MjAyrbdu21pw5cxr0vXrClY5vcXGx1adPH6t79+7WoUOHrIKCAvvj/PnzlmWZO76u+OxeTBedeWPq2FqWa8b3xRdftIKDg60NGzZYBw8etObOnWu1aNHCOnTokL3N0KFDrR49elg7duywPv30U6tTp07WmDFjGvS9NrQrHduKigqrY8eO1s0332zt2LHDOnTokPX8889bNpvNev/99+3tTBzbBx54wAoJCbG2bdvm8O/luXPn7G1c8Z115MgRKzAw0Hr00Uetb7/91lq6dKnl7e1tZWRk1Ktewo+HZGVlWZJqPcaPH29ZlmW99NJLVrt27SxfX1+rffv21ty5c2ud4vvLL79YDz74oNW6dWsrMDDQGjlypFVQUODQ5tixY9Ztt91mBQQEWFdddZX18MMP20/Vbs6udHwv9XpJ1tGjR+3tTBxfV3x2L3Zx+LEsM8fWslw3vqmpqVa7du2swMBAKyEhwfrkk08c9v/000/WmDFjrFatWlnBwcHWxIkTrTNnzjTEW/QYV4ztgQMHrFGjRlnh4eFWYGCgdf3119c69d3Esb3Uv5fp6en2Nq76zsrKyrJuvPFGy8/Pz7r66qsdjnG5bP+/aAAAACOw5gcAABiF8AMAAIxC+AEAAEYh/AAAAKMQfgAAgFEIPwAAwCiEHwAAYBTCDwAAMArhBwAAGIXwAwAAjEL4AQAARiH8AAAAo/w/f4A7jFY2l3QAAAAASUVORK5CYII=", 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" ] }, "metadata": {}, @@ -110,7 +100,16 @@ } ], "source": [ - "data.plot.hist(column=[\"Year_Birth\"], bins=100)" + "import matplotlib.pyplot as plt\n", + "\n", + "year_counts = data[\"Year_Birth\"].value_counts().sort_index()\n", + "\n", + "plt.figure(figsize=(12, 6))\n", + "year_counts.plot(kind=\"bar\", color=\"skyblue\", edgecolor=\"black\")\n", + "plt.title(\"Количество клиентов по годам рождения\")\n", + "plt.xlabel(\"Год рождения\")\n", + "plt.ylabel(\"Количество клиентов\")\n", + "plt.show()\n" ] }, { diff --git a/lab1/requirements.txt b/lab1/requirements.txt deleted file mode 100644 index 382accda07d54c50ee5c10fade35f8bf85c8d65a..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 1142 zcmZXTYf=J1421LBDvyH2E2xwb-&5OL z;@jD)Ev(_c2fo^_?3z>ArCr#J=!VnT)V3TUhCSl;gxC_x5#`q&nZx>I@3yqo4j!+F zjX8IxxcJ2_6`f;lhzl3>7xo3q43=aoG%g*Z8o~^nXXX6rp#!l%ue96}ukD_{H)p71 zFH~wAAtiwbo;A61s^m^8&kh}H6sU{jRVFCffRtsw? zvpi1D`D6p{RQ&3usL8(RR+Af$yGK)lnics%$`$E|jv7>NPwr>eVmd9^GbTU9({pFb z?1gA>L{-Eclg&LU+7XGm+6no2?ft7C_4Q1&LxEfsRxIKlabkN~?su*+*@TQ8-v(7H zehV#R?Ay3!-uJsurd&3mB_^LIoDUQPM)}envw6g^B^6_KrL)TQhi@_I*pz`gpt;8m z2B-M6TjFlfta+U09$kISUF{ub&ky$LZjZQ+{)W`mCaC5SU2lD6>~Egro~$pA#M>w{ zR^^yvR$5+Z*~oZb4ahlaRavnz>x6GpcYQ;rsh?H6#h92hCKPHPR8bs%`}<_0)ZZM$ LizBl4Rqy^UQevj& From 45af581f211f3f3ab74167d92cfa1b21ef64715a Mon Sep 17 00:00:00 2001 From: Anton Date: Sat, 26 Oct 2024 14:03:56 +0400 Subject: [PATCH 4/4] lab 1 end!! --- lab1/requirements.txt | Bin 0 -> 1142 bytes 1 file changed, 0 insertions(+), 0 deletions(-) create mode 100644 lab1/requirements.txt diff --git a/lab1/requirements.txt b/lab1/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..382accda07d54c50ee5c10fade35f8bf85c8d65a GIT binary patch literal 1142 zcmZXTYf=J1421LBDvyH2E2xwb-&5OL z;@jD)Ev(_c2fo^_?3z>ArCr#J=!VnT)V3TUhCSl;gxC_x5#`q&nZx>I@3yqo4j!+F zjX8IxxcJ2_6`f;lhzl3>7xo3q43=aoG%g*Z8o~^nXXX6rp#!l%ue96}ukD_{H)p71 zFH~wAAtiwbo;A61s^m^8&kh}H6sU{jRVFCffRtsw? zvpi1D`D6p{RQ&3usL8(RR+Af$yGK)lnics%$`$E|jv7>NPwr>eVmd9^GbTU9({pFb z?1gA>L{-Eclg&LU+7XGm+6no2?ft7C_4Q1&LxEfsRxIKlabkN~?su*+*@TQ8-v(7H zehV#R?Ay3!-uJsurd&3mB_^LIoDUQPM)}envw6g^B^6_KrL)TQhi@_I*pz`gpt;8m z2B-M6TjFlfta+U09$kISUF{ub&ky$LZjZQ+{)W`mCaC5SU2lD6>~Egro~$pA#M>w{ zR^^yvR$5+Z*~oZb4ahlaRavnz>x6GpcYQ;rsh?H6#h92hCKPHPR8bs%`}<_0)ZZM$ LizBl4Rqy^UQevj& literal 0 HcmV?d00001