diff --git a/.gitignore b/.gitignore
index 207d123..76f3604 100644
--- a/.gitignore
+++ b/.gitignore
@@ -9,6 +9,9 @@
 profile_default/
 ipython_config.py
 
+static/
+aimenv/
+
 # Remove previous ipynb_checkpoints
 #   git rm -r .ipynb_checkpoints/
 
diff --git a/README.md b/README.md
index 6805d45..d5fd842 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,7 @@
 # AIM-PIbd-32-Bulatova-K-R
 
+ПИбд-32
+Булатова Карина Раилевна
+Вариант 5
+Прогнозирование стоимости страховки
+https://www.kaggle.com/datasets/harishkumardatalab/medical-insurance-price-prediction
diff --git a/lab_1/lab_1.ipynb b/lab_1/lab_1.ipynb
new file mode 100644
index 0000000..2c84157
--- /dev/null
+++ b/lab_1/lab_1.ipynb
@@ -0,0 +1,179 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Начало лабораторной работы\n",
+    "\n",
+    "Выгрузка данных из csv файла в датафрейм"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Index(['age', 'sex', 'bmi', 'children', 'smoker', 'region', 'charges'], dtype='object')\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "df = pd.read_csv(\"..//static//csv//Medical_insurance.csv\")\n",
+    "print(df.columns)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd \n",
+    "df = pd.read_csv(\"..//static//csv//Medical_insurance.csv\")\n",
+    "\n",
+    "labels = 'Мужчины', 'Женщины'\n",
+    "sizes = [df[df[\"sex\"] == \"male\"].shape[0],df[df[\"sex\"] == \"female\"].shape[0]]\n",
+    "\n",
+    "print(len([df[df[\"sex\"] == \"male\"].count(),df[df[\"sex\"] == \"female\"].count()]))\n",
+    "\n",
+    "plt.pie(sizes, labels=labels)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Данная круговая диаграмма показывает соотношение мужчин и женщин. Из диаграмм мы видим, что мужчин больше."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "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",
+    "import pandas as pd\n",
+    "\n",
+    "df = pd.read_csv(\"..//static//csv//Medical_insurance.csv\")\n",
+    "\n",
+    "df_first_30 = df.head(30)\n",
+    "\n",
+    "region_charges = df_first_30.groupby('region')['charges'].mean().reset_index()\n",
+    "\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "plt.bar(region_charges['region'], region_charges['charges'], color=['blue', 'green', 'red', 'purple'], alpha=0.7)\n",
+    "plt.title('Средняя стоимость страховки по регионам (первые 30 строк)')\n",
+    "plt.xlabel('Регион')\n",
+    "plt.ylabel('Средняя стоимость страховки')\n",
+    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Данная столбчатая диаграмма показывает распределение стоимости страховки (charges) по регионам (region) для первых 30 строк данных. Это поможет нам увидеть, как стоимость страховки распределяется по регионам в выбранной выборке."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "\n",
+    "df = pd.read_csv(\"..//static//csv//Medical_insurance.csv\")\n",
+    "\n",
+    "age_groups = df.groupby('age')['charges'].mean().reset_index()\n",
+    "\n",
+    "plt.figure(figsize=(12, 6))\n",
+    "plt.bar(age_groups['age'], age_groups['charges'], color='green', alpha=0.7)\n",
+    "plt.title('Средняя стоимость страховки по возрастным группам')\n",
+    "plt.xlabel('Возраст')\n",
+    "plt.ylabel('Средняя стоимость страховки')\n",
+    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Данная гистограмма показывает распределение стоимости страховки (charges) по возрастным группам. Это поможет нам увидеть, как стоимость страховки меняется в зависимости от возраста."
+   ]
+  }
+ ],
+ "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": "3.12.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/lab_1/lab_1.jpg b/lab_1/lab_1.jpg
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diff --git a/lab_1/requirements.txt b/lab_1/requirements.txt
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