2024-09-20 23:43:00 +04:00
{
"cells": [
{
"cell_type": "code",
2024-11-15 22:35:48 +04:00
"execution_count": null,
2024-09-20 23:43:00 +04:00
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Index(['Rank ', 'Name', 'Networth', 'Age', 'Country', 'Source', 'Industry'], dtype='object')\n"
]
}
],
"source": [
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"df = pd.read_csv(\"C://Users//annal//aim//static//csv//Forbes_Billionaires.csv\")\n",
"print(df.columns)\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Диаграмма №1 - круговая\n",
"## Эта диаграмма показывает, в каких областях достигли успеха миллиардеры. Благодаря этой диаграмме, можно выяснить, в какой области больше всего(или меньше всего) миллиардеров. По этой диаграмме видно, что в сфере финансов и инвестиций наибольший процент миллиардеров, в то время как наименьшего успеха люди достигли в сфере азартных игр и казино"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 1.0, 'Распределение миллиардеров по областям')"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 1600x1600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"ind_counts = df['Industry'].value_counts()\n",
"plt.figure(figsize=(16, 16))\n",
"plt.pie(ind_counts, labels=ind_counts.index, autopct='%1.1f%%', startangle=140, colors=plt.cm.Paired.colors)\n",
"plt.title('Распределение миллиардеров по областям')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"\n",
"# Диаграмма №2 - Столбчатая диаграмма\n",
"## Эта диаграмма показывает топ-20 стран с самыми богатыми миллиардерами, а так же количеством миллиардеров в каждой стране.Эта диаграмма позволяет определить лидера среди стран по количеству богатейших людей мира. Итак, диаграмма показывает, что в США наибольшее число миллиардеров среди 20 лучших стран."
]
},
{
"cell_type": "code",
"execution_count": 26,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"Text(0.5, 0, 'Страна')"
]
},
"execution_count": 26,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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
"text/plain": [
"<Figure size 640x480 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"country_counts = df['Country'].value_counts()\n",
"top50 = country_counts.head(20)\n",
"country_bars = top50.plot(kind='bar', color = 'green')\n",
"country_bars.set_ylabel('Колисчество миллиардеров')\n",
"country_bars.set_title('Топ-20 стран с богатейшими из миллиардеров')\n",
"country_bars.set_xlabel('Страна')\n"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Диаграмма №3 - Диаграмма рассеяния\n",
"## Данная диаграмма предназначена для поиска закономерности между возрастом и суммой состояния миллиардеров. Н а данной диаграмме видно, что сумма состояния увеличивается с возрастом, однако существуют единичные случаи, выбивающиеся из общей тенденции."
]
},
{
"cell_type": "code",
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"execution_count": 37,
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"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
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"Text(0, 0.5, 'Сумма состояния')"
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]
},
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"execution_count": 37,
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"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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"image/png": "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"text/plain": [
"<Figure size 1100x1100 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.figure(figsize=(11,11))\n",
"plt.scatter(df['Age'], df['Networth'])\n",
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"plt.title('Зависимость суммы состояния от возраста')\n",
"plt.xlabel('Возраст')\n",
"plt.ylabel('Сумма состояния')"
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]
}
],
"metadata": {
"kernelspec": {
"display_name": "aimlenv",
"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": "3.12.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}