208 lines
124 KiB
Plaintext
208 lines
124 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Лабораторная работа 1\n",
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"\n",
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"Выгрузка данных из csv файла в датафрейм"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Index(['ID', 'Year_Birth', 'Education', 'Marital_Status', 'Income', 'Kidhome',\n",
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" 'Teenhome', 'Dt_Customer', 'Recency', 'MntWines', 'MntFruits',\n",
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" 'MntMeatProducts', 'MntFishProducts', 'MntSweetProducts',\n",
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" 'MntGoldProds', 'NumDealsPurchases', 'NumWebPurchases',\n",
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" 'NumCatalogPurchases', 'NumStorePurchases', 'NumWebVisitsMonth',\n",
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" 'AcceptedCmp3', 'AcceptedCmp4', 'AcceptedCmp5', 'AcceptedCmp1',\n",
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" 'AcceptedCmp2', 'Complain', 'Z_CostContact', 'Z_Revenue', 'Response'],\n",
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" dtype='object')\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"import numpy as np\n",
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"\n",
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"df = pd.read_csv(\"..//..//static//csv//marketing_campaign.csv\", sep=\"\\t\")\n",
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"\n",
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"print (df.columns)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Эта вывод датасета по столбцам \"Year_Birth\", \"Marital_Status\", \"Income\"."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" Year_Birth Marital_Status Income\n",
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"0 1957 Single 58138.0\n",
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"1 1954 Single 46344.0\n",
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"2 1965 Together 71613.0\n",
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"3 1984 Together 26646.0\n",
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"4 1981 Married 58293.0\n",
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"... ... ... ...\n",
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"2235 1967 Married 61223.0\n",
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"2236 1946 Together 64014.0\n",
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"2237 1981 Divorced 56981.0\n",
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"2238 1956 Together 69245.0\n",
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"2239 1954 Married 52869.0\n",
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"\n",
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"[2240 rows x 3 columns]\n"
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]
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}
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],
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"source": [
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"data = df[[\"Year_Birth\", \"Marital_Status\", \"Income\"]].copy()\n",
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"print(data)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"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."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"metadata": {},
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"outputs": [
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{
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"data": {
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",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"year_counts = data[\"Year_Birth\"].value_counts().sort_index()\n",
|
||
"\n",
|
||
" \n",
|
||
"plt.figure(figsize=(12, 6))\n",
|
||
"year_counts.plot(kind=\"bar\", color=\"yellow\", edgecolor=\"black\")\n",
|
||
"plt.title(\"Количество клиентов по годам рождения\")\n",
|
||
"plt.xlabel(\"Год рождения\")\n",
|
||
"plt.ylabel(\"Количество клиентов\")\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"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": 31,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"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='yellow', 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": 32,
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 800x800 with 1 Axes>"
|
||
]
|
||
},
|
||
"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"
|
||
]
|
||
}
|
||
],
|
||
"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
|
||
}
|