diff --git a/Aigrind/Analisys.ipynb b/Aigrind/Analisys.ipynb
new file mode 100644
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+++ b/Aigrind/Analisys.ipynb
@@ -0,0 +1,541 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "c6bb3ab6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from tqdm import tqdm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d7cfc02e",
+   "metadata": {},
+   "source": [
+    "# Данные"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "67c32cdd",
+   "metadata": {},
+   "source": [
+    "## Payments"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "038a62d8",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>payment_date</th>\n",
+       "      <th>Payment_types</th>\n",
+       "      <th>real_cost</th>\n",
+       "      <th>account_id</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2021-01-01 00:00:56</td>\n",
+       "      <td>Payment_system_5</td>\n",
+       "      <td>9.650000</td>\n",
+       "      <td>2907221</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2021-01-01 00:01:48</td>\n",
+       "      <td>Payment_system_5</td>\n",
+       "      <td>0.955872</td>\n",
+       "      <td>3228373</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2021-01-01 00:03:42</td>\n",
+       "      <td>Payment_system_5</td>\n",
+       "      <td>3.026930</td>\n",
+       "      <td>318552</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2021-01-01 00:04:27</td>\n",
+       "      <td>Payment_system_2</td>\n",
+       "      <td>99.990000</td>\n",
+       "      <td>3832817</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2021-01-01 00:06:41</td>\n",
+       "      <td>Payment_system_5</td>\n",
+       "      <td>1.432550</td>\n",
+       "      <td>7229767</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          payment_date     Payment_types  real_cost  account_id\n",
+       "0  2021-01-01 00:00:56  Payment_system_5   9.650000     2907221\n",
+       "1  2021-01-01 00:01:48  Payment_system_5   0.955872     3228373\n",
+       "2  2021-01-01 00:03:42  Payment_system_5   3.026930      318552\n",
+       "3  2021-01-01 00:04:27  Payment_system_2  99.990000     3832817\n",
+       "4  2021-01-01 00:06:41  Payment_system_5   1.432550     7229767"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "payments = pd.read_csv(\"data/payments.csv\")\n",
+    "payments.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "68048c5a",
+   "metadata": {},
+   "source": [
+    "## Persents"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "a4b72e40",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Payment_types</th>\n",
+       "      <th>Share, %</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Payment_system_1</td>\n",
+       "      <td>20.7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Payment_system_2</td>\n",
+       "      <td>15.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Payment_system_3</td>\n",
+       "      <td>58.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Payment_system_4</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Payment_system_5</td>\n",
+       "      <td>24.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Payment_types  Share, %\n",
+       "0  Payment_system_1      20.7\n",
+       "1  Payment_system_2      15.0\n",
+       "2  Payment_system_3      58.5\n",
+       "3  Payment_system_4       0.0\n",
+       "4  Payment_system_5      24.0"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "persents = pd.read_csv(\"data/persents.csv\", index_col=0)\n",
+    "persents.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9a2ba6d3",
+   "metadata": {},
+   "source": [
+    "## Registrations"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "a0f238ba",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>account_id</th>\n",
+       "      <th>created_date</th>\n",
+       "      <th>campaign</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>3842380.0</td>\n",
+       "      <td>2021-01-01</td>\n",
+       "      <td>BRA_MS1_install</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>3842381.0</td>\n",
+       "      <td>2021-01-01</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3842382.0</td>\n",
+       "      <td>2021-01-01</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3842383.0</td>\n",
+       "      <td>2021-01-01</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>3842384.0</td>\n",
+       "      <td>2021-01-01</td>\n",
+       "      <td>BRA_MS1_install</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   account_id created_date         campaign\n",
+       "0   3842380.0   2021-01-01  BRA_MS1_install\n",
+       "1   3842381.0   2021-01-01              NaN\n",
+       "2   3842382.0   2021-01-01              NaN\n",
+       "3   3842383.0   2021-01-01              NaN\n",
+       "4   3842384.0   2021-01-01  BRA_MS1_install"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "registrations = pd.read_csv(\"data/registrations.csv\", index_col=0)\n",
+    "registrations.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f52e9466",
+   "metadata": {},
+   "source": [
+    "## Budget"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "id": "bf031a83",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>media_source</th>\n",
+       "      <th>Campaign_type</th>\n",
+       "      <th>Target</th>\n",
+       "      <th>Plan, USD</th>\n",
+       "      <th>Installs</th>\n",
+       "      <th>Spend, USD</th>\n",
+       "      <th>Deviation, USD</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Media_source_1</td>\n",
+       "      <td>install</td>\n",
+       "      <td>Brazil</td>\n",
+       "      <td>100</td>\n",
+       "      <td>10460</td>\n",
+       "      <td>99.12</td>\n",
+       "      <td>0.88</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Media_source_1</td>\n",
+       "      <td>purchase</td>\n",
+       "      <td>Brazil</td>\n",
+       "      <td>400</td>\n",
+       "      <td>1081</td>\n",
+       "      <td>398.67</td>\n",
+       "      <td>1.33</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Media_source_1</td>\n",
+       "      <td>install</td>\n",
+       "      <td>Russia</td>\n",
+       "      <td>200</td>\n",
+       "      <td>11894</td>\n",
+       "      <td>246.30</td>\n",
+       "      <td>-46.30</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Media_source_1</td>\n",
+       "      <td>purchase</td>\n",
+       "      <td>Russia</td>\n",
+       "      <td>500</td>\n",
+       "      <td>1441</td>\n",
+       "      <td>616.77</td>\n",
+       "      <td>-116.77</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Media_source_1</td>\n",
+       "      <td>install</td>\n",
+       "      <td>Ukrane</td>\n",
+       "      <td>100</td>\n",
+       "      <td>6424</td>\n",
+       "      <td>99.43</td>\n",
+       "      <td>0.57</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Media_source_1</td>\n",
+       "      <td>purchase</td>\n",
+       "      <td>Ukrane</td>\n",
+       "      <td>500</td>\n",
+       "      <td>242</td>\n",
+       "      <td>348.13</td>\n",
+       "      <td>151.87</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Media_source_2</td>\n",
+       "      <td>install</td>\n",
+       "      <td>Brazil</td>\n",
+       "      <td>100</td>\n",
+       "      <td>152</td>\n",
+       "      <td>81.15</td>\n",
+       "      <td>18.85</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Media_source_2</td>\n",
+       "      <td>install</td>\n",
+       "      <td>English_speaking</td>\n",
+       "      <td>100</td>\n",
+       "      <td>371</td>\n",
+       "      <td>99.95</td>\n",
+       "      <td>0.05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Total</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>2000</td>\n",
+       "      <td>32065</td>\n",
+       "      <td>1989.52</td>\n",
+       "      <td>10.48</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     media_source Campaign_type            Target  Plan, USD  Installs  \\\n",
+       "0  Media_source_1       install            Brazil        100     10460   \n",
+       "1  Media_source_1      purchase            Brazil        400      1081   \n",
+       "2  Media_source_1       install            Russia        200     11894   \n",
+       "3  Media_source_1      purchase            Russia        500      1441   \n",
+       "4  Media_source_1       install            Ukrane        100      6424   \n",
+       "5  Media_source_1      purchase            Ukrane        500       242   \n",
+       "6  Media_source_2       install            Brazil        100       152   \n",
+       "7  Media_source_2       install  English_speaking        100       371   \n",
+       "8           Total           NaN               NaN       2000     32065   \n",
+       "\n",
+       "   Spend, USD  Deviation, USD  \n",
+       "0       99.12            0.88  \n",
+       "1      398.67            1.33  \n",
+       "2      246.30          -46.30  \n",
+       "3      616.77         -116.77  \n",
+       "4       99.43            0.57  \n",
+       "5      348.13          151.87  \n",
+       "6       81.15           18.85  \n",
+       "7       99.95            0.05  \n",
+       "8     1989.52           10.48  "
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "budget = pd.read_excel(\"data/Рекламный бюджет январь 2021.xlsx\")\n",
+    "budget.loc[0:5, 'media_source'] = 'Media_source_1'\n",
+    "budget.loc[6:7, 'media_source'] = 'Media_source_2'\n",
+    "budget"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "561d9fce",
+   "metadata": {},
+   "source": [
+    "# Analisys"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1e9e2cb6",
+   "metadata": {},
+   "source": [
+    "## Оптимальный срок окупаемости"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f5e6e89a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.13.0"
+  },
+  "toc": {
+   "base_numbering": 1,
+   "nav_menu": {},
+   "number_sections": true,
+   "sideBar": true,
+   "skip_h1_title": false,
+   "title_cell": "Table of Contents",
+   "title_sidebar": "Contents",
+   "toc_cell": false,
+   "toc_position": {},
+   "toc_section_display": true,
+   "toc_window_display": true
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}