From 2f0db712939866d36616d31f750d4f203642c4cb Mon Sep 17 00:00:00 2001 From: kaznacheeva Date: Thu, 19 Sep 2024 16:11:49 +0400 Subject: [PATCH 1/3] initial --- .gitignore | 2 ++ README.md | 6 +++++ lab_1/Lab1.ipynb | 56 +++++++++++++++++++++++++++++++++++++++++ lab_1/requirements.txt | Bin 0 -> 1142 bytes 4 files changed, 64 insertions(+) create mode 100644 lab_1/Lab1.ipynb create mode 100644 lab_1/requirements.txt diff --git a/.gitignore b/.gitignore index 207d123..3ac24b3 100644 --- a/.gitignore +++ b/.gitignore @@ -12,3 +12,5 @@ ipython_config.py # Remove previous ipynb_checkpoints # git rm -r .ipynb_checkpoints/ +aimenv/ +static/ \ No newline at end of file diff --git a/README.md b/README.md index 2d27428..22b6d5c 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,8 @@ # AIM-PIbd-32-Kaznacheeva-E-K +## МИИ + +ФИО: Казначеева Елизавета\ +Группа: ПИбд-32\ +Вариант: 8 (Заработная плата рабочих мест в области Data Science)\ +Сслыка на dataset:https://www.kaggle.com/datasets/henryshan/2023-data-scientists-salary \ No newline at end of file diff --git a/lab_1/Lab1.ipynb b/lab_1/Lab1.ipynb new file mode 100644 index 0000000..4b5cb54 --- /dev/null +++ b/lab_1/Lab1.ipynb @@ -0,0 +1,56 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Начало лабораторной\n", + "\n", + "Выгрузка данных из csv файла в датафрейм" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['work_year', 'experience_level', 'employment_type', 'job_title',\n", + " 'salary', 'salary_currency', 'salary_in_usd', 'employee_residence',\n", + " 'remote_ratio', 'company_location', 'company_size'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "df = pd.read_csv(\"..//static//csv//ds_salaries.csv\")\n", + "print(df.columns)" + ] + } + ], + "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/requirements.txt b/lab_1/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..45c05a8a1bc24576ef19bb1e77815aee30aea3e4 GIT binary patch literal 1142 zcmZXTYfi&J421m~iK7%X=>zz|9k@Z&7j2-tKHpbjxXMYCDb){VQVJA$G*ti1JI1EMT44m#wU}v&Rc! zPn=N~7r(frqH)ZKxNuQ_X(w3buq4}{apf4*5T@@u8|POK4TvRrrDaUKv}gWCwLm3X zQ>k)bO*K;EMjE)!ovO>Q6PpBYB!& zmdD9CXV&vh#jkF%8s%vwy4B=* zp1lwij;M;bW3sJsMH?bfS34m;hptflsINDo4GQF{uwoJafD_wObH8_u$tGm%`L?Lq z@LOmhW8b3p8kX3FJY~hB-~d#?>u-59>DZK>JD|DW z))k+2OWZY@HILiei>oiWE4|~Gwl?VKZV$MR{`#F0XS<;5^O_m^+je#!>*SGm8+pd6 z9FuI7=2x0GGTv7Oa)DY^RxHmt;oH<*-_mKi&MMwwOiY`XP^f)SMRDZ*VyBL5l=@qM MSUaNizPP&o2RUe_+W-In literal 0 HcmV?d00001 -- 2.25.1 From 473332ac67fe8affd25896499c665e29c517900f Mon Sep 17 00:00:00 2001 From: kaznacheeva Date: Sat, 12 Oct 2024 09:49:04 +0400 Subject: [PATCH 2/3] lab1 --- lab_1/Lab1.ipynb | 128 +++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 128 insertions(+) diff --git a/lab_1/Lab1.ipynb b/lab_1/Lab1.ipynb index 4b5cb54..514b50f 100644 --- a/lab_1/Lab1.ipynb +++ b/lab_1/Lab1.ipynb @@ -30,6 +30,134 @@ "df = pd.read_csv(\"..//static//csv//ds_salaries.csv\")\n", "print(df.columns)" ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['work_year', 'experience_level', 'employment_type', 'job_title',\n", + " 'salary', 'salary_currency', 'salary_in_usd', 'employee_residence',\n", + " 'remote_ratio', 'company_location', 'company_size'],\n", + " dtype='object')\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "import pandas as pd\n", + "df = pd.read_csv(\"..//static//csv//ds_salaries.csv\")\n", + "print(df.columns)\n", + "\n", + "# Группировка данных по уровню опыта и вычисление средней зарплаты\n", + "avg_salary_by_exp = df.groupby('experience_level')['salary_in_usd'].mean().reset_index()\n", + "\n", + "# Создание столбчатой диаграммы\n", + "plt.figure(figsize=(10, 6))\n", + "sns.barplot(x='experience_level', y='salary_in_usd', data=avg_salary_by_exp)\n", + "plt.title('Средняя зарплата по уровню опыта')\n", + "plt.xlabel('Уровень опыта')\n", + "plt.ylabel('Средняя зарплата (USD)')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "По данной диаграмме можно сделать вывод, что у работников Executive-level зарплата выше всех, а у Entry-level зарплата ниже всех" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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HHnlEzz33nCoqKpSUlKThw4f7ZoUrKirSnXfeKanhXKJLL710n31Nnz5dkZGRys7OliT99a9/Va9evfT000/roYcektRwHtHJJ5+sM888U5L08ccfKygoSDNmzDjoeTl7vfTSS8rKytLLL7+su+++W3a7Xd26ddOECRN0zDHHNPv7ZLFY9Nhjjx10HavVqg8//FBPP/20/vvf/2r69OkKDQ1V9+7dddNNNx30EMb4+HiFhITomWeeUXFxseLj45WVlaU33nhDw4cPl9Qw+cinn36q2267Tffee69iYmI0YcIEjRkzZr/fm5iYGL3++uu64YYb9O9//1uJiYl67rnnfCW5KTZu3KjZs2frvvvuO+A1yfZyOBz65JNPdOONN2rSpEkKDg7W2Wefreuvv16DBg1q8r4BwB9YjCM5/gMA0G7MmTNHJ554oqZNm9bsUZpf27Jli9LT07V58+YDnn/z4IMPasuWLZoyZcoR7w8Hd8IJJ8jlcmnlypVmRwGAdoFzpAAAAACgiTi0DwDQKsLDw3XJJZccdDKIgQMHKjk5uQ1TAQDQMihSAIBWER8frzfffPOg65xzzjltlAYAgJbFOVIAAAAA0EScIwUAAAAATUSRAgAAAIAm4hwpSV6vVzt37lRERMQBr04PAAAAoP0zDEPl5eVKTk6W1XrgcSeKlKSdO3cqNTXV7BgAAAAA/MS2bduUkpJywMcpUpIiIiIkNXyzIiMjTU4DAAAAwCxlZWVKTU31dYQDoUhJvsP5IiMjKVIAAAAADnnKD5NNAAAAAEATUaQAAAAAoIkoUgAAAADQRBQpAAAAAGgiihQAAAAANBFFCgAAAACaiCIFAAAAAE1EkQIAAACAJqJIAQAAAEATUaQAAAAAoIkoUgAAAADQRBQpAAAAAGgiihQAAAAANBFFCgAAAACaiCIFAAAAAE1EkQIAAACAJqJIAQAAAEATUaQAAAAAoInsZgcAgNaSm5srl8vVatuPj49XWlpaq20fAAD4L4oUgHYpNzdXmX36qLqqqtX2ERIaqjU5OZQpAAA6IIoUgHbJ5XKpuqpKl9z5pBLTerT49gtyN+qtx2+Xy+WiSAEA0AFRpAC0a4lpPZSS0c/sGAAAoJ1hsgkAAAAAaCKKFAAAAAA0EUUKAAAAAJqIIgUAAAAATUSRAgAAAIAmokgBAAAAQBNRpAAAAACgiShSAAAAANBEFCkAAAAAaCKKFAAAAAA0EUUKAAAAAJqIIgUAAAAATUSRAgAAAIAmokgBAAAAQBNRpAAAAACgiShSAAAAANBEFCkAAAAAaCKKFAAAAAA0EUUKAAAAAJqIIgUAAAAATUSRAgAAAIAmokgBAAAAQBNRpAAAAACgiShSAAAAANBEflOkHnvsMVksFt18882+ZTU1NZo4caLi4uIUHh6uc889VwUFBY2el5ubq/Hjxys0NFQJCQm6/fbbVV9f38bpAQAAAHQkflGkfv75Z7388ssaOHBgo+W33HKLPvnkE02bNk1z587Vzp07dc455/ge93g8Gj9+vNxut3744Qe9/vrrmjJliu6///62fgkAAAAAOhDTi1RFRYUuueQS/fvf/1ZMTIxveWlpqV599VU99dRTGj16tLKysvTaa6/phx9+0I8//ihJ+vLLL7V69Wq9+eabGjx4sE499VQ98sgjev755+V2u816SQAAAADaOdOL1MSJEzV+/HiNHTu20fJFixaprq6u0fLMzEylpaVp/vz5kqT58+drwIABSkxM9K0zbtw4lZWVadWqVQfcZ21trcrKyhrdAAAAAOBw2c3c+dSpU7V48WL9/PPP+zyWn5+voKAgRUdHN1qemJio/Px83zq/LlF7H9/72IFMmjRJDz300BGmBwAAANBRmTYitW3bNt1000166623FBwc3Kb7vuuuu1RaWuq7bdu2rU33DwAAACCwmVakFi1apMLCQh111FGy2+2y2+2aO3eu/vnPf8putysxMVFut1slJSWNnldQUKCkpCRJUlJS0j6z+O29v3ed/XE6nYqMjGx0AwAAAIDDZVqRGjNmjFasWKGlS5f6bkOHDtUll1zi+9rhcGj27Nm+56xdu1a5ubnKzs6WJGVnZ2vFihUqLCz0rTNr1ixFRkaqb9++bf6aAAAAAHQMpp0jFRERof79+zdaFhYWpri4ON/yq666SrfeeqtiY2MVGRmpG264QdnZ2RoxYoQk6eSTT1bfvn116aWX6oknnlB+fr7uvfdeTZw4UU6ns81fEwAAAICOwdTJJg7l6aefltVq1bnnnqva2lqNGzdOL7zwgu9xm82mTz/9VNddd52ys7MVFhamyy+/XA8//LCJqQEAAAC0d35VpObMmdPofnBwsJ5//nk9//zzB3xO165dNWPGjFZOBgAAAAC/MP06UgAAAAAQaChSAAAAANBEFCkAAAAAaCK/OkcKAJqq3uPV9t3Vqq33qs7TcOuZEG52LAAA0M5RpAAEpGq3R+/8nKt/zduknaU1jR4Ld9o1uqtTtoh4k9IBAID2jiIFIKC467165btNevXbzdpV6ZYkOe1WhTntctqtqvMYclXU6uN19epyzSv62WVRfDePgh02k5MDAID2hCIFIGCU1dTpujcX6fsNuyRJKTEhunZUD52XleIrSl6vobnri/TUZ8u0olDKrZLeW7xdZw/uojAnP/IAAEDL4FMFgICws6RaV7z2s9YWlCssyKaHzuqv3w1Olt3WeM4cq9WiE3snKKoyTtmnX6z0K/5PuyrcmrZou84Z0kWRIQ6TXgEAAGhPmLUPgN9bvbNMZ7/wvdYWlCshwql3rsnWeVkp+5So33LnrdOohDpFBttVWl2naYu2a/eewwEBAACOBEUKgF/bVlylS175UQVlteqVGK7pE49R/y5Rh/38cId0XlaKYkIdqqit1/SlO1Rb52nFxAAAoCOgSAHwWxW19frj6wu1u6pOA7pEadq1I9UlOqTJ24kIdui8rBRFhThUXlOvb9YVtUJaAADQkVCkAPglj9fQzVOX+A7n+/dlQxV1BOc3hQbZNa5foiyS1uaXa21+ecuFBQAAHQ6TTQAwVW5urlwu1z7L31xepq/WVMphlW4bFq6dG1drZxO2m5OTs8+yzlEhOjo9Vgs2F+ubtYVKjg5WRDCTTwAAgKajSAEwTW5urjL79FF1VVWj5aG9RqrT2XdLkvI++ocumjSn2fuoqKhodH9Yt1ht3VWpgrJafbm6QOcM6SKLxdLs7QMAgI6JIgXANC6XS9VVVbrkzieVmNZDklTjkWblOeT2Sr0iPDp34o2SbmzytnMWzNXnr09WTU1No+U2q0Xj+iXp7Z9ytX13tVbuKNOAlMOfvAIAAECiSAHwA4lpPZSS0U+GYejT5XlyeyvVKdypk4emymZt3mhRQe7GAz4WExqkkT3iNG+9Sz9u3qXMzhFyHGIqdQAAgF/jkwMAv5GTX65NrkpZLdLJ/RKbXaIOx8CUaEUG21Xl9mjptpJW2w8AAGifKFIA/EJ5TZ3mrm2YlnxE9zjFhztbdX82q0XZPeIkSQu37lYN15YCAABNQJECYDrDkL7KKZTb41VSZLCy0mLaZL+9EyMUHx4kd71XP28pbpN9AgCA9oEiBcB026usyi2uks1q0cn9EmVtxUP6fs1isWhkj3hJ0rLtpSqvqWuT/QIAgMBHkQJgKktQiJaX2CRJR3eLUUxoUJvuv1tcqLpEh8jjNfTjJkalAADA4aFIATBV9LGXqMZjUVSIo80O6fs1i8WiY3o2nCuVk1/GqBQAADgsFCkAptlSUqeIrDMkSSf27iS7SVOQd44KUUpMiAyj4RA/AACAQ6FIATCF12voX4tLZbHa1CXEq65xYabmGZIaLUlauaNU7nqvqVkAAID/o0gBMMUHS3ZojatOXne1BsbUmx1H6fFhigpxqLbeq5y8MrPjAAAAP0eRAtDmqtz1emLmGklS6Q9TFWo3OZAazpXaOyq1dFuJDMMwNxAAAPBrFCkAbe5f8zapsLxWiWE2lS382Ow4Pn06R8ppt6qkuk6bXZVmxwEAAH6MIgWgTeWX1ujluZskSZcOjJA8/jNLXpDdqv7JUZKkJdtKzA0DAAD8GkUKQJv6x5drVV3nUVbXGGWnBJsdZx+DUqNksUjbd1erqLzW7DgAAMBPUaQAtJmVO0r1/uLtkqR7xveRxWIxOdG+IoIdyugULklavr3E3DAAAMBvUaQAtAnDMPToZzkyDOnMQck6yoSL7x6uASkNh/etK6hQnYep0AEAwL4oUgDaxFc5hZq/aZeC7FbdcUpvs+McVJfoEEWFOOT2eLW+sMLsOAAAwA9RpAC0ujqPV5Nm5EiSrjo2XSkxoSYnOjiLxaK+nSMlSat2lpqcBgAA+COKFIBW99aPW7XJVam4sCD9+YQeZsc5LH07R8oiaWdJjXZXuc2OAwAA/AxFCkCrKq2q0zOz10uSbjmplyKCHSYnOjzhwXZ1jWsYOVu9s8zkNAAAwN9QpAC0que+Wa+SqjplJITroqNTzY7TJP32XFMqJ69MXq9hchoAAOBPKFIAWs3WXZWa8sMWSQ3TndttgfUjJz0+TCEOmyrdHm0prjQ7DgAA8COB9akGQEB57PM1qvMYOi4jXif0TjA7TpPZrBZldo6QxOF9AACgMYoUgFbx85Zifb4yX1ZLw2hUoOq3Z/a+za5KVbnrTU4DAAD8BUUKQIvzeg397bOG6c4vPDpVmUmRJidqvrhwpxIinPIa4ppSAADAhyIFoMV9snynlm0rUViQTbec1MvsOEesd1LD4X1r88tNTgIAAPwFRQpAi6qp8+iJmWslSdeO6qGEiGCTEx25XokNRSqvtEZl1XUmpwEAAP6AIgWgRb32/RbtKKlWUmSw/nhcd7PjtIhwp10pMSGSpLUFjEoBAADJbnYAAP4tNzdXLpfrsNYtrfHo2dlFkqTzM53KWbnsoOvn5OQccb62kpkUoe27q7U2v1xHd4s1Ow4AADAZRQrAAeXm5iqzTx9VV1Ud1vqxJ12riKNOV23+Bv3l3FskHd5FbCsq/H8Sh56dwvXNmiLtqnSrqLzW7DgAAMBkFCkAB+RyuVRdVaVL7nxSiWk9DrpuWZ30VZ5DhqSTBnZVp+ffP+T2cxbM1eevT1ZNTU0LJW49TodN3eJDtbGoUmsLytXN7EAAAMBUFCkAh5SY1kMpGf0Ous7Hy3bKUKW6x4dpyIDkw9puQe7GlojXZnonRWhjUaXWFZSrayez0wAAADMx2QSAI7atuEqbXZWyWqRje8abHafVpMeFKchmVXlNvXbVWsyOAwAATESRAnBEvIahb9c3TEYxoEuUYsKCTE7Ueuw2q3okhEmScqv48QkAQEfGJwEAR2RNXrmKKmoVZLdqeHqc2XFaXe8915TaWWWVLPwIBQCgo+JTAIBmq/N49cOmhtGoYd1iFRJkMzlR60uJCVWww6par0XBaQPMjgMAAExCkQLQbIu37lZlrUeRwXYNSokyO06bsFkt6tkpXJIUmnmcyWkAAIBZKFIAmqWytl6LcndLko7pGS+7reP8OMnYc3hfaO+Rqvce3rWyAABA+9JxPvkAaFHzN+1SncdQUmSwMhLCzY7TplKiQ+S0GrKFRGpFodvsOAAAwAQUKQBNVlReq1U7yyRJx2XEy2LpWFOBW60WdQn1SpK+z602OQ0AADADRQpAkxiGoe82NEwwkZEQruToEJMTmSNlT5H6aUeN3PVek9MAAIC2RpEC0CRbd1Upt7hKNotFx7Tji+8eSrzTUH35LlXWGfpuQ5HZcQAAQBujSAE4bF6voW/3jEYNSo1SVIjD5ETmsVikqrXfS5I+XZZnchoAANDWKFIADtvqvDIVV7oVbLfq6G6xZscxXdWabyVJs1YXqKbOY3IaAADQlihSAA6Lu96r+Zt2SZKGpccq2NH+L757KLU71ig2xKry2nrNW8fhfQAAdCQUKQCHZVHublW5PYoKcWhgSrTZcfyEoWNSGybb+HQ5h/cBANCRUKQAHFJ1vbR4696L78bJZu1Y050fzDGpwZKkr3I4vA8AgI6EIgXgkFaV2lTvNdQ5Klg9O3Wsi+8eSkasQ12iQ1Tl9uibNYVmxwEAAG2EIgXgoByd0rW1suFHxfEZnTrcxXcPxWKx6PSBnSVJn67g8D4AADoKihSAAzIMQzGjr5RkUa+EcCVFBZsdyS+N31Okvs4pVJW73uQ0AACgLVCkABzQkvxahXQbIqsMjezAF989lAFdopQWG6rqOo9m53B4HwAAHQFFCsB+1Xu8en1ZuSSpR4S3Q19891B+fXjfZ8zeBwBAh0CRArBf0xZt17ayenmqy5QZxWx0h7L38L5v1haqopbD+wAAaO8oUgD2UVlbr//7cp0kqfT7qQriJ8Uh9e0cqe7xYaqt92p2ToHZcQAAQCvj4xGAfbzy7Wa5KmqVFG5T+ZIZZscJCBaLxTcq9ckyDu8DAKC9o0gBaKS40q1/f7tJkvT7/hGSl8PUDtfpA5MlSfPWFam0us7kNAAAoDVRpAA08uKcDaqorVffzpEamcp0503ROylCGQnhcnu8+mo1h/cBANCeUaQA+Owsqdbr87dKku44pbesXHy3yfYe3vfp8p0mJwEAAK2JIgXA55+z18td79Ww9FiN6tXJ7DgBae806N+ud6m0isP7AABoryhSACRJG4sq9O7CbZKkO0/pLQujUc3SMyFCmUkRqvca+mJVvtlxAABAK6FIAZAkPTVrnbyGNLZPgrK6xpodJ6DtHZX6hMP7AABotyhSALQmv0yfLW+Ysvu2k3ubnCbwjd8ze98PG3epuNJtchoAANAaKFIANPmr9ZKk8QM6q0/nSJPTBL70+DD1S46Ux2to5koO7wMAoD2iSAEd3OqdZfp8Zb4sFummsRlmx2k39l5T6rMVHN4HAEB7RJECOrjJs9dJahiN6pUYYXKa9mP8gIbzpOZv3KWi8lqT0wAAgJZGkQI6sFU7S/XFqoKG0agxjEa1pLS4UA1KiZLXkGauzDM7DgAAaGEUKaAD23tu1OkDk5XBaFSL23t436fLKVIAALQ3drMDADhyubm5crlcTXrO5t11+nK1SxZJJ3V2a/Hixfusk5OT00IJO6bTBnbWozNytGBLsQrKapQYGWx2JAAA0EIoUkCAy83NVWafPqquqmrS8+LP+qvCMo9Vxeo5Ouvxfxx03YqKiiOJ2GF1iQ7RUWnRWpxbos9X5OkPx6SbHQkAALQQihQQ4Fwul6qrqnTJnU8qMa3HYT2nrE6aleeQJJ01+hhFnTJyv+vlLJirz1+frJqamhbL29GMH5isxbkl+nQ5RQoAgPaEIgW0E4lpPZSS0e+w1v1ydb6kcnWPD1O/fskHXK8gd2MLpeu4xg/orL99tloLt+7WzpJqJUeHmB0JAAC0ACabADqYsuo6rckvlyQd3S3W5DTtX1JUsI7u2vB9nrGCSScAAGgvKFJAB7Mod7cMQ0qNDVFSFJMftIXxAxuuKcXsfQAAtB8UKaADqayt16qdZZLkGyVB6zt1QJIsFmnpthJtK27apCAAAMA/UaSADmTJthJ5vIaSIoOVEsO5Om0lISJYw9M5vA8AgPaEIgV0ELX1Hq3YXipJOrpbjCwWi8mJOpa9F+f9aOlOk5MAAICWQJECOohVO8rk9ngVGxak9Pgws+N0OOMHdFaQzarVeWVatbPU7DgAAOAImVqkXnzxRQ0cOFCRkZGKjIxUdna2Pv/8c9/jNTU1mjhxouLi4hQeHq5zzz1XBQUFjbaRm5ur8ePHKzQ0VAkJCbr99ttVX1/f1i8F8Gser6El20okSUPSohmNMkFMWJDG9k2QJL2/aIfJaQAAwJEytUilpKToscce06JFi7Rw4UKNHj1aZ511llatWiVJuuWWW/TJJ59o2rRpmjt3rnbu3KlzzjnH93yPx6Px48fL7Xbrhx9+0Ouvv64pU6bo/vvvN+slAX5pQ2GFKmrrFeKwKTMxwuw4Hdb5WamSpA+X7pC73mtyGgAAcCRMLVJnnHGGTjvtNGVkZKhXr1569NFHFR4erh9//FGlpaV69dVX9dRTT2n06NHKysrSa6+9ph9++EE//vijJOnLL7/U6tWr9eabb2rw4ME69dRT9cgjj+j555+X2+0+4H5ra2tVVlbW6Aa0V4ZhaHHubknSoJQo2W0c0WuW4zLilRDhVHGlW9+sLTQ7DgAAOAJ+84nK4/Fo6tSpqqysVHZ2thYtWqS6ujqNHTvWt05mZqbS0tI0f/58SdL8+fM1YMAAJSYm+tYZN26cysrKfKNa+zNp0iRFRUX5bqmpqa33wgCT7SypUWF5rWxWiwakRJkdp0Oz26w6+6gukqRpC7ebnAYAABwJ04vUihUrFB4eLqfTqWuvvVbTp09X3759lZ+fr6CgIEVHRzdaPzExUfn5+ZKk/Pz8RiVq7+N7HzuQu+66S6Wlpb7btm3bWvZFAX5k72hUn6QIhQbZTU6D87NSJEnfrC1UUXmtyWkAAEBzmV6kevfuraVLl+qnn37Sddddp8svv1yrV69u1X06nU7fBBd7b0B7tLvKrU2uSknSkLQYk9NAknomRGhwarQ8XkMfLWXSCQAAApXpRSooKEg9e/ZUVlaWJk2apEGDBmny5MlKSkqS2+1WSUlJo/ULCgqUlJQkSUpKStpnFr+99/euA3RkS3JLJEnp8WGKDQsyNwx8ztszKjVt4XYZhmFyGgAA0BymF6nf8nq9qq2tVVZWlhwOh2bPnu17bO3atcrNzVV2drYkKTs7WytWrFBh4S8nbc+aNUuRkZHq27dvm2cH/El1nUc5eQ0TqQxJjTY3DBo5Y2CyguxWrS0o14odXFMKAIBAZOoJE3fddZdOPfVUpaWlqby8XG+//bbmzJmjL774QlFRUbrqqqt06623KjY2VpGRkbrhhhuUnZ2tESNGSJJOPvlk9e3bV5deeqmeeOIJ5efn695779XEiRPldDrNfGmA6VZsL1W911CnCKdSYkLMjoNfiQp16NT+Sfpo6U699WOuBp4XbXYkAADQRKaOSBUWFuqyyy5T7969NWbMGP3888/64osvdNJJJ0mSnn76aZ1++uk699xzdfzxxyspKUkffPCB7/k2m02ffvqpbDabsrOzNWHCBF122WV6+OGHzXpJgF+o93q1bHuJJOkoLsDrly4d0VWS9NGyHSqtqjM5DQAAaCpTR6ReffXVgz4eHBys559/Xs8///wB1+natatmzJjR0tGAgLYuv0JVbo/CnXZlJHABXn+U1TVGmUkRWpNfrvcWb9dVx6abHQkAADSB350jBeDIGIahxdv2XIA3NUo2K6NR/shisejS7IZRqTd/3Cqvl0knAAAIJBQpoJ3JLa7Srgq3HDaLBiRzAV5/9rvBXRTutGuzq1I/bNxldhwAANAEFCmgndk75Xm/zlFyOmzmhsFBhTntOveoLpKkN37cYm4YAADQJBQpoB1xVdRqa3GVLJIGp0WbHQeHYcKeSSdmrS5QXmm1yWkAAMDhokgB7cje0ageCeGKCnGYGwaHJSMxQsPTY+U1pP/9lGt2HAAAcJgoUkA7UeOR1uaXS2qY8hyBY++kE2/9lKuaOo/JaQAAwOGgSAHtxMZymzyGoc5RweocxQV4A8m4fknqEh2iXZVuvbdou9lxAADAYaBIAe2Axe7UpoqG/52HMBoVcBw2q/54XMN1pP797SZ5mAodAAC/R5EC2oGw/qPl9loUGWxXj07hZsdBM1x4dKqiQx3auqtKX6zKNzsOAAA4BIoUEOC8hqHIoWdJkoakxchq4QK8gSg0yK7L9szg99LcjTIMRqUAAPBnFCkgwC3cWStHXIocFkN9O0eaHQdH4PKR3eS0W7V8e6nmb+ICvQAA+DOKFBDgPllXKUlKD/cqyM7/0oEsLtypC4amSpJenrvJ5DQAAOBg+NQFBLAV20u1qsgtw1OvHhFMm90e/PG4dFkt0tx1RVq1s9TsOAAA4AAoUkAA+/e3DaMWlTnzFGo3OQxaRNe4MJ02oLMk6Zmv1pucBgAAHAhFCghQO0uq9dmKPElS2c8fmhsGLermsb1ktUizVhdoSe5us+MAAID9oEgBAWrKD1vk8RrqnxCkukLOp2lPeiaE65yjUiRJ//flOpPTAACA/aFIAQGovKZO//spV5J0Zq8wk9OgNdw0JkMOm0XfbXDph40us+MAAIDf4KwKIAC9u3C7ymvr1b1TmI7q7DQ7ToeWk5PTKtuNj4/XxcPS9N/5W/WPL9bq/eviZOEaYQAA+A2KFBBg6j1evfb9ZknSH4/tLquF0QozlBUXSZImTJjQKtsPCQ3VdwuX692FVi3OLdHXawo1pk9iq+wLAAA0HUUKCDCfrcjT9t3Vig0L0jlHddHqFRQpM1RXlEmSxl9zj3oPzGrRbRfkbtRbj98uVZfq8pHd9PLcTXryi7Ua1auT7DaOyAYAwB9QpIAAYhiGXtpzodY/jOymYIfN5ESIS+6qlIx+rbb9a4/vof/9lKs1+eX638/bdOmIrq22LwAAcPj41SYQQOauK1JOXplCg2y6LJsP1B1BTFiQbju5tyTp/75cq92VbpMTAQAAiSIFBJSX5m6UJF08LE3RoUEmp0FbuWR4mjKTIlRSVaf/m7XW7DgAAEAUKSBgLN1Woh83FctuteiqY9PNjoM2ZLdZ9eCZDYcPvv1TrlbtLDU5EQAAoEgBAeKlOQ2jUWcN7qLk6BCT06Ctjegep9MHdpbXkB76eLUMwzA7EgAAHRpFCggAG4sq9MXqfEnStaO6m5wGZrn7tD4Kcdi0YEuxpi/ZYXYcAAA6NIoUEABenrtRhiGN7ZOgjMQIs+PAJMnRIbp+dE9J0sOfrlZRea3JiQAA6LgoUoCf21ZcpQ8WN4w+XHdCT5PTwGxXH99dfTtHqqSqTg9+vMrsOAAAdFgUKcDPvTBno+q9ho7LiFdW1xiz48BkDptVT5w3UDarRZ+tyNPMlXlmRwIAoEOiSAF+bEdJtd5btE2SdOOYDJPTwF/07xKl60b1kCTd++EqlVRxbSkAANoaRQrwYy/O2aA6j6GRPeJ0dLdYs+PAj9wwpqd6JoTLVVGrhz9ZbXYcAAA6HIoU4KfySqv17s/bJTEahX057TY9ed5AWS3SB0t26PMVHOIHAEBbokgBfurluZvk9ng1LD1WI7rHmR0HfmhIWoyuO6HhEL+/frBCeaXVJicCAKDjoEgBfii/tEZvL8iVJN3EaBQO4uaxvTQwJUql1XW67d1l8nq5UC8AAG2BIgX4ocmz18td79XR3WI0sgejUTgwh82qZy4crBCHTT9s3KVXvttkdiQAADoEu9kBADS22VWpdxc2zNR3xymZslgsJieCWXJycg573T8MCteLC0v1xMw1iq1zqXuM46Drx8fHKy0t7UgjAgDQYVGkAD/zf1+ulcdraHRmAjP1dVBlxUWSpAkTJjTpeZ1+d7dCe4/UTVOXKu/1m2XU1Rxw3ZDQUK3JyaFMAQDQTBQpwI+s3FGqT5fnyWKRbh/X2+w4MEl1RZkkafw196j3wKzDfl6tR5qdb0hxKTr2vnd0dJxnv+sV5G7UW4/fLpfLRZECAKCZKFKAH3nii7WSpLMGJatP50iT08BsccldlZLRr0nPCU6s1vuLtyu30qbMrryPAABoLUw2AfiJ+Rt3ad66ItmtFt16EqNRaJ4uMSG+6fK/WVuo3ZVukxMBANA+UaQAP+D1Gnrs84aJBS4elqa0uFCTEyGQDe0Wo5SYENV5DM1Ymad6j9fsSAAAtDsUKcAPTF+yQ8u2lyrcadcNY3qaHQcBzmqx6JR+SQpx2OSqcOvbDS6zIwEA0O5QpACTVdbW64kv1kiSJp7YUwkRwSYnQnsQ5rTr5H6JkqTl20u1obDC5EQAALQvzZ5sorKyUnPnzlVubq7c7sbH4N94441HHAzoKF6au1EFZbVKiw3Vlcd2MzsO2pFucWHK6hqjRVt366ucAiVEOBUZcvDrSwEAgMPTrCK1ZMkSnXbaaaqqqlJlZaViY2PlcrkUGhqqhIQEihRwmLbvrtK/5m2SJN19WqacdpvJidDeZHeP047d1covq9HMVfk696gUsyMBANAuNOvQvltuuUVnnHGGdu/erZCQEP3444/aunWrsrKy9I9//KOlMwLt1mOfr1FtvVcjusdqXL8ks+OgHbJZLTqlf5KC7Fblldbox027zI4EAEC70KwitXTpUt12222yWq2y2Wyqra1VamqqnnjiCd19990tnRFol37atMt38d37Tu8ri8VidiS0U1EhDo3NTJAkLdy6WwXVvNcAADhSzTq0z+FwyGpt6GAJCQnKzc1Vnz59FBUVpW3btrVoQKA9yM3Nlcv1y8xpdR5Dt81quH9Seqhq8zdqcX7ztp2Tk9MSEdHOZSRGaMDuaq3YUaqfd9llDYs2OxIAAAGtWUVqyJAh+vnnn5WRkaFRo0bp/vvvl8vl0htvvKH+/fu3dEYgoOXm5iqzTx9VV1X5lkWOOF8xoy6Xp7JEr954of5dW3nE+6moYFY2HNzxGfHaWVqtXRVuxZ9+m7yGYXYkAAACVrOK1N///neVl5dLkh599FFddtlluu6665SRkaH//Oc/LRoQCHQul0vVVVW65M4nlZjWQxX10qw8h7yGNCItXGlPvXFE289ZMFefvz5ZNTU1LZQY7ZXdZtVp/Tvr7Z+2KKTbEE1fU6mhWWanAgAgMDWrSA0dOtT3dUJCgmbOnNligYD2KjGth7r07KuPlu2U16hSSkyIsgd1OeJzowpyN7ZQQnQEsWFBGhzj0aJiu/63slwXbCvRoNRos2MBABBwmjXZxOjRo1VSUtLCUYD2b0NRhbbuqpLNYtHo3glMMAFTdA3zqnL1XHkN6bZpy1RT5zE7EgAAAadZRWrOnDn7XIQXwMG5vdLctUWSpKyuMYoJCzI5EToqi0UqnvWiooOt2lBYof/7cq3ZkQAACDjNKlKS+E060ETLd9tU6fYoJtSho7vFmB0HHZy3pkJ/HholSXrlu81asLnY5EQAAASWZp0jJUlnn322goL2/xv1r7/+utmBgPYoOP0oba20SZLG9kmU3dbs32EALWZocrAuGJqidxdu11+mLdPnNx2nMGez/1kAAKBDafa/mNnZ2QoPD2/JLEC7VFXnVdwpN0iSBqdGKzk6xOREwC/uO72vvt+wS7nFVXp85ho9fBaXsAAA4HA0q0hZLBbdfvvtSkhIaOk8QLvz32Xlskd2Upjd0MgecWbHARqJCHbo8XMHasKrP+mNH7fqrMFdlNWVQ08BADiUZh1fZHARR+CwfLfepS83NVyINyu2Xg4O6YMfOjYjXucelSLDkO7+YIXqPF6zIwEA4Pea9anugQce4LA+4BBKq+r0l2nLJEnliz9Tp2B+AQH/dc/4PooJdWhtQble+Xaz2XEAAPB7zS5SoaGhKioq0nfffafvvvtORUVFLZ0NCGj3fbRS+WU16hxu0+45/zE7DnBQsWFBumd8X0nS5NnrlLuryuREAAD4t2YVqaqqKl155ZVKTk7W8ccfr+OPP17Jycm66qqrVFXFP77AR0t36ONlO2WzWnTz8GgZdbVmRwIO6dyjuii7e5xq6ry658MVHMYNAMBBNKtI3XLLLZo7d64+/vhjlZSUqKSkRB999JHmzp2r2267raUzAgFlZ0m17vtwpSTphtE9lRHHhXcRGCwWix49u7+C7FZ9u96lz1fmmx0JAAC/1awi9f777+vVV1/VqaeeqsjISEVGRuq0007Tv//9b7333nstnREIGF6vodvfW6aymnoNSo3WxBN7mh0JaJLuncJ17fHdJUl/n5GjmjqPyYkAAPBPzT60LzExcZ/lCQkJHNqHDu21H7bo+w27FOKw6ekLBjFLHwLStSf0UFJksLbvrtar3zHxBAAA+9OsT3nZ2dl64IEHVFNT41tWXV2thx56SNnZ2S0WDggk6wrK9fjMNZIaZkDr3omZLRGYQoPsuvPU3pKk57/ZoMKymkM8AwCAjqdZF+R95plndMoppyglJUWDBg2SJC1btkzBwcH64osvWjQgEAjc9V7dPHWp3PVendC7ky4ZnmZ2JOCInDWoi/47f6uW5JboiS/W6h/nDzI7EgAAfqVZI1IDBgzQ+vXrNWnSJA0ePFiDBw/WY489pvXr16tfv34tnRHwe09/tU6r88oUE+rQE+cOlMViMTsScESsVoseOKPh5/l7i7Zr+fYScwMBAOBnmjUiNW/ePI0cOVJ/+tOfWjoPEHB+3lKsl+ZulCRNOmeAEiKDTU4EtIzBqdE6Z0gXfbBkh/72aY7euWYEvyQAAGCPZo1InXjiiSouLm7pLEDAKa+p0y3vLJVhSOdlpeiU/p3NjgS0qDtOyZTTbtWCLcWau44LrwMAsFezihQXaQQaPPzJam3fXa2UmBA9cEZfs+MALS4pKliXj+wmSXryi7Xyevn5DwCA1MxD+yRp/vz5iomJ2e9jxx9/fLMDAYFi5sp8TVu0XRaL9NQFgxUR7DA7EtAqrh3VQ2//lKtVO8s0c1W+ThvAyCsAAM0uUmefffZ+l1ssFnk8XMAR7VtheY3unr5CknTN8T00LD3W5ERA64kNC9Ifj0vXM1+t1z++XKuT+ybKzjXSAAAdXLP/JczPz5fX693nRolCe2cYhv76/goVV7rVp3Okbj2pl9mRgFZ31bHpigl1aFNRpT5YssPsOAAAmK5ZRYpZm9CRTVu4XV+vKVSQ3apnLhysIDu/mUf7FxHs0J9P6ClJmvzVetXW80szAEDHxmQTQBPsKKnWI5+uliTddlIv9U6KMDkR0HYuze6qxEindpRU692F282OAwCAqZp1jpTX623pHIDfazikb7nKa+t1VFq0/nhcd7MjAUckJyenyc85vYdTry6p1bOzctTb7pLduu8RCvHx8UpLS2uJiAAA+K1mFalJkyYpMTFRV155ZaPl//nPf1RUVKQ777yzRcIB/uTtBbn6dr1LTrtV/zh/kGz7+QAJBIKy4obrQU2YMKHJz7XYg9Tl2ldVqBiN/sMdqlz19T7rhISGak1ODmUKANCuNatIvfzyy3r77bf3Wd6vXz9ddNFFFCm0O9uKq/ToZw2/vb/jlEx17xRuciKg+aoryiRJ46+5R70HZjX5+WtLrVpZKqX/7haddN31+vVpswW5G/XW47fL5XJRpAAA7VqzilR+fr46d973OiKdOnVSXl7eEYcC/InXa+iO95aryu3RsG6xumLPxUmBQBeX3FUpGf2a/LxO9R6t/36Lyuu9qolOU0YC5woCADqeZk02kZqaqu+//36f5d9//72Sk5OPOBTgT974cavmb9qlEIdNT54/UFYO6UMH57TbNCglWpK0cMtuJiACAHRIzRqR+tOf/qSbb75ZdXV1Gj16tCRp9uzZuuOOO3Tbbbe1aEDATFtclXrs8zWSpLtOy1TXuDCTEwH+YXBqtBbn7lZhea22FlepG/9vAAA6mGYVqdtvv127du3Sn//8Z7ndbklScHCw7rzzTt11110tGhAwi8dr6Pb3lqm6zqPs7nGaMLyr2ZEAvxESZNOAlCgtyS3Rz1uKKVIAgA6nWUXKYrHo8ccf13333aecnByFhIQoIyNDTqezpfMBpnnt+836ectuhQXZ9MR5HNIH/NZRaTFatq1EO0tqVFBWo8TIYLMjAQDQZpp1jtRe4eHhOvroo9W/f39KFNqVrbsq9eQXayVJ94zvq9TYUJMTAf4n3GlXr8SGiSaWbCsxNwwAAG2sWSNSkrRw4UK9++67ys3N9R3et9cHH3xwxMEAsxiGoXumr1RtvVfH9IzTxcNSzY4E+K0hqdFak1+u9QXlOrZHvNlxAABoM80akZo6dapGjhypnJwcTZ8+XXV1dVq1apW+/vprRUVFtXRGoE1NX7JD321ouPDuo78bIIuFQ/qAA0mIDFaX6BB5DWnZ9hKz4wAA0GaaNSL197//XU8//bQmTpyoiIgITZ48Wenp6brmmmv2e30pIBDk5uZq045CPTizSJJ0Xp8wFeeuVXHukW03JyenBdIB/mtwarR2lFRr5Y5SdUkyOw0AAG2jWUVq48aNGj9+vCQpKChIlZWVslgsuuWWWzR69Gg99NBDLRoSaG25ubnK7NNHoSdcrfABY+Uu2qK/X3aT/u71tNg+KioqWmxbgD/p3ilMUSEOlVbXKbfyiE69BQAgYDSrSMXExKi8vFyS1KVLF61cuVIDBgxQSUmJqqqqWjQg0BZcLpeM+J4KHzBWkqGT+3dR3LPTWmTbOQvm6vPXJ6umpqZFtgf4G6vFokEpUZq33qX15TZJllYdiY2Pj1daWlqrbR8AgMPRrCJ1/PHHa9asWRowYIDOP/983XTTTfr66681a9YsjRkzpqUzAq2uzmMo9uTrJEkDu0RrUGZCi227IHdji20L8Ff9kqP046ZiVdR7Fdz9KE2YMKHV9hUSGqo1OTmUKQCAqZpVpJ577jnfb9fvueceORwO/fDDDzr33HN17733tmhAoC18tr5SjrhUOa2GRvaIMzsOEHCC7Fb1S47Ukm0lihgyXmNOOkW9B2a1+H4Kcjfqrcdvl8vlokgBAEzVpCJVVlbW8CS7XeHh4b77f/7zn/XnP/+5yTufNGmSPvjgA61Zs0YhISEaOXKkHn/8cfXu3du3Tk1NjW677TZNnTpVtbW1GjdunF544QUlJib61snNzdV1112nb775RuHh4br88ss1adIk2e3Nnt0dHUh+aY3eXd1w/lL/aI+cDpvJiYDANKBLlJZsK1FIj6EKCylSSkY/syMBANBqmnRWcHR0tGJiYg55O1xz587VxIkT9eOPP2rWrFmqq6vTySefrMrKSt86t9xyiz755BNNmzZNc+fO1c6dO3XOOef4Hvd4PBo/frzcbrd++OEHvf7665oyZYruv//+prw0dGCPzshRTb2hmh056hrmNTsOELBiwoIUpUpZLFbl1XMRawBA+9akIZtvvvmm0X3DMHTaaafplVdeUZcuXZq885kzZza6P2XKFCUkJGjRokU6/vjjVVpaqldffVVvv/22Ro8eLUl67bXX1KdPH/34448aMWKEvvzyS61evVpfffWVEhMTNXjwYD3yyCO688479eCDDyooKKjJueCfcnNz5XK5WnSbKwpr9cmyYllkqPjLF2XJ/keLbh/oaDprt0oVprz6UHm8hmxWrsMGAGifmlSkRo0atc8ym82mESNGqHv37kccprS0VJIUGxsrSVq0aJHq6uo0duxY3zqZmZlKS0vT/PnzNWLECM2fP18DBgxodKjfuHHjdN1112nVqlUaMmTIPvupra1VbW2t7/7eQxThv/ZOT17dkrNCWqzqfMWzCurUVWWLP1Nd4SamKAeOUKzKVV++S4qI08aiCvVKjDA7EgAArcJvTiLyer26+eabdcwxx6h///6SpPz8fAUFBSk6OrrRuomJicrPz/et8+sStffxvY/tz6RJk7jWVYBxuVyqrqrSJXc+qcS0Hi2yzY3lVi3dbVeQ1dDQLmH6UmKKcuAIWSVVLP9S0cdcrBXbSylSAIB264iK1LZt21RVVaW4uCOf5WzixIlauXKlvvvuuyPe1qHcdddduvXWW333y8rKlJqa2ur7xZFLTOvRIiew19Z59Nn8LZK8GpmRoHpv0hFvE0CDimVfKPqYi7S9pFrFlW7FhnGINQCg/WlSkfrnP//p+9rlcul///ufRo8eraioqCMKcf311+vTTz/VvHnzlJKS4luelJQkt9utkpKSRqNSBQUFSkpK8q2zYMGCRtsrKCjwPbY/TqdTTqfziDIjsC3YUqyaOq9iQ4M0IDlKS9aanQhoPzzlLsXZarTLE6IV20s1qncnsyMBANDimlSknn76aUmSxWJRfHy8zjjjjCO6bpRhGLrhhhs0ffp0zZkzR+np6Y0ez8rKksPh0OzZs3XuuedKktauXavc3FxlZ2dLkrKzs/Xoo4+qsLBQCQkNF1GdNWuWIiMj1bdv32ZnQ/tVUuXW0m0lkqTjMuJl5WR4oMUl26u0yxOi1fllOqZnnOy2Jk0SCwCA32tSkdq8eXOL7nzixIl6++239dFHHykiIsJ3TlNUVJRCQkIUFRWlq666SrfeeqtiY2MVGRmpG264QdnZ2RoxYoQk6eSTT1bfvn116aWX6oknnlB+fr7uvfdeTZw4kVEn7Nf3G3bJa0hpsaHqGscUzUBriLHWKiLYrvKaem0oqlBmUqTZkQAAaFGm/orwxRdfVGlpqU444QR17tzZd3vnnXd86zz99NM6/fTTde655+r4449XUlKSPvjgA9/jNptNn376qWw2m7KzszVhwgRddtllevjhh814SfBzO3ZXa0NRhSxqGI2yWBiNAlqDxSL17dxQnlbtZGZUAED7Y+qsfYZhHHKd4OBgPf/883r++ecPuE7Xrl01Y8aMloyGdsgwDH23oeE6VP26RCo+nBFLoDX17RypnzYXa/vuapVW1ykqxGF2JAAAWgwHraPD2OSqVH5ZjexWi0akH/lMkwAOLjLEobTYhsNnVzMqBQBoZyhS6BC8hqEfNu6SJA1Ji1aY028uoQa0a3sP71udVybvYRyFAABAoKBIoUNYk1+u4kq3gu1WZXWNMTsO0GH06BQmp92qitp65RZXmR0HAIAWQ5FCu1fv9erHTQ2jUUO7xcppt5mcCOg47DarMpMiJHF4HwCgfaFIod1bsb1U5TX1CnPaNCjlyC4eDaDp+iU3/H+3sahC1W6PyWkAAGgZFCm0a+56r37esluSNCKdi4ICZugU4VRChFNeQ1qTz6gUAKB94FMl2rVl20tUXedRdIjDd9I7gLa39/+/NfnlJicBAKBlUKTQbrnrvVqc2zAaNTw9VlYrF98FzNIrMUJWi1RYXqtdFbVmxwEA4IhRpNBuLdteopo6r6JDHeqVGGF2HKBDCwmyqVtcmCRGpQAA7QNFCu1So9GoboxGAf5g7+x9a/LLZXBNKQBAgKNIoV1iNArwP+nxv1xTavvuarPjAABwRChSaHcYjQL8k91mVUZCuCQph9n7AAABjiKFdofRKMB/Ze6ZvW9DYYXqPF6T0wAA0HwUKbQrdR6vluSWSJKGMRoF+J3kqGBFBttV5zG0sajC7DgAADQbRQrtyuqdZaqu8ygy2K7ejEYBfsdisfhGpdbkMXsfACBwUaTQbni8hhbtOTfqqK4xjEYBfqrPntn7courVFlbb3IaAACahyKFdmNdQbnKa+oV4rCp357feAPwP9GhQeocFSxD0lquKQUACFAUKbQLhmFo4daG0aghadGy23hrA/5s7zWlmL0PABCo+LSJdmGzq1LFlW4F2awamBJldhwAh9ArMUI2i0WuCreKymvNjgMAQJNRpBDwDMPQz1saRqMGpkTJabeZnAjAoQQ7bOoWHypJWsOoFAAgAFGkEPB2ltQov6xGNqtFg1OjzY4D4DD12XMu49qCcnkNw+Q0AAA0DUUKAW/vTH19O0cqzGk3OQ2Aw9UtLkzBdqsqaz3aVlxldhwAAJqEIoWAtrvSrc2uSkkNk0wACBw2q0W99lzvbQ2z9wEAAgxFCgFtybYSSVL3+DDFhAaZGwZAk2V2bihSGwor5K73mpwGAIDDR5FCwKp2e7Q6r+EkdUajgMCUFBms6BCH6r2GNhZVmB0HAIDDRpFCwFq+o0Qer6GECKe6RIeYHQdAM1gsFt+oFNeUAgAEEooUAlK9x6tl20olSUelxchisZicCEBzZSY1zN63rbhaFTX1JqcBAODwUKQQkNYUlKu6zqNwp109E8LNjgPgCESFOJQcHSxJWlPAqBQAIDBQpBBwDMPQ0twSSdLg1GjZrIxGAYGuz55RqTV55TK4phQAIABQpBBwtu+u1q5Ktxw2i/onR5odB0ALyEgIl81q0a5Kt1wVbrPjAABwSBQpBJxl20skNfwG2+mwmRsGQItwOmzqHh8mScrJ4/A+AID/o0ghoFTWS5uKGi7AOyg12twwAFpUZlLD7H1rC8rl9XJ4HwDAv1GkEFA2lttkSEqLDVVsGBfgBdqTrnFhCnHYVOX2KHd3ldlxAAA4KIoUAobF4dSWioa37KDUKJPTAGhpNqtFvRIbZuHk8D4AgL+jSCFghPU9UXWGRVEhDqXHhZkdB0AryOzcMIHMpqJKueu9JqcBAODAKFIICIZhKCLrDEnSoJQoLsALtFOJEU7FhDpU7zW0obDC7DgAABwQRQoBYWWhW0GduspmMdSXKc+BdstisfhGpXLyObwPAOC/KFIICJ9vbDjxvGuYV047U54D7VlmYsPsfdt3V6u8ps7kNAAA7B9FCn4vv7RGC3bUSJK6h3POBNDeRYY41CU6RJK0Jr/c5DQAAOwfRQp+b+rPufIaUs22lYoK4toyQEfQp3PDqNSa/HIZBv/fAwD8D0UKfq3O49X/FuRKksqXzDA5DYC20jMhXDarRcWVbhWW15odBwCAfVCk4Ne+Wl2ggrJaRTmtqlr7g9lxALQRp92mHvENlzng8D4AgD+iSMGvvfnTVknS2O4hkrfe5DQA2tLe2fvW5pfL4+XwPgCAf6FIwW9tKKzQ9xt2yWqRTuoeanYcAG0sLTZUIQ6bqus8yi2uMjsOAACNUKTgt97aMxo1OjNRCWF2k9MAaGs2q0W9kxomncjJ45pSAAD/QpGCX6py1+u9RdslSRNGpJmcBoBZ+u45vG9TUaWq6zwmpwEA4BcUKfilT5btVHlNvdJiQ3V8Riez4wAwSacIpxIinPIYhtYwKgUA8CMUKfgdwzD0xo8Nh/VdMjxNVqvF5EQAzNQ3uWFUalVembikFADAX1Ck4HeWbS/Vyh1lCrJbdf7QVLPjADBZZmKEbFaLdlW4tdvNL1YAAP6BIgW/88b8htGo0wd2VmxYkMlpAJjN6bCpZ0K4JGlLJf9sAQD8A/8iwa/srnTrk+U7JUkTRnQ1OQ0Af9Fvz6QT2yqtstidJqcBAIAiBT/z3qLtctd71S85UkNSo82OA8BPpMSEKCrEoXrDotDex5gdBwAAihT8h9dr6M09146aMKKrLBbOhQDQwGKx+KZCDx94kslpAACgSMGPfLvBpa27qhThtOuswclmxwHgZ/p0jpBkKDhtgHaU1ZsdBwDQwVGk4Dfe3DPl+blZKQoNspucBoC/iQh2KCm4Yf7zLzZWmZwGANDRUaTgF3aUVGt2ToEkJpkAcGA9IjySpK+3VKnKzagUAMA8FCn4hf/9lCuvIY3sEeeb5hgAfisx2FDd7p2qqjP08dKdZscBAHRgFCmYzl3v1dSfcyUxGgXg4CwWqXzJ55Kk/87fKsMwTE4EAOioKFIw3cxV+XJVuJUQ4dRJfRPNjgPAz1WumKUgm7Q6r0yLc3ebHQcA0EFRpGC6N+c3TDJx8bA0OWy8JQEcnLemQsemhkiS3tjz8wMAgLbGp1aYam1+uRZsKZbNatHFw9LMjgMgQJzSM1SSNGNFvlwVtSanAQB0RBQpmGrvlOcn901UUlSwyWkABIqesUEalBott8erd37eZnYcAEAHRJGCaSpq6/XB4u2SpEuZZAJAE1225+fGf+dvkbvea3IaAEBHQ5GCaaYv2aFKt0fdO4Upu0ec2XEABJjTB3VWQoRTBWW1+mjpDrPjAAA6GIoUTGEYhm+SiUtHdJXFYjE5EYBA47TbdOWx6ZKkf3+7ianQAQBtiiIFU/y8ZbfWFpQrxGHTOUelmB0HQID6/fA0hTvtWldQoTlri8yOAwDoQChSMMUbeyaZOGtwsqJCHCanARCoIoMdunhYqiTp5XkbTU4DAOhIKFJoc0XltZq5Mk+SNIFJJgAcoSuPTZfdatGPm4q1bFuJ2XEAAB0ERQpt7t2F21TnMTQkLVr9u0SZHQdAgOscFaIzBydLkv41b5PJaQAAHQVFCm3K4zX01o+/TDIBAC3h6uO7S5I+X5mnLa5Kk9MAADoCihTa1NdrCrWztEYxoQ6dNqCz2XEAtBOZSZE6sXcneQ3pn7PXmx0HANABUKTQpqb8sFmSdMHRqQp22ExOA6A9ufWk3pKk6Ut3aH1BuclpAADtnd3sAGhfcnNz5XK59vvY1tI6fb9hl6wWaUh4uRYvXnzY283JyWmpiADaqQEpURrXL1FfrCrQ01+t0wuXZJkdCQDQjlGk0GJyc3OV2aePqquq9vt47LjrFTH4FJWv+V6nPjapWfuoqKg4kogA2rlbT+qtL1cXaMaKfK3cUcqENgCAVkORQotxuVyqrqrSJXc+qcS0Ho0eq/VIM3Y65DWk044bpviTPmjStnMWzNXnr09WTU1NS0YG0M70TorQmYOS9dHSnXp61jq9+oejzY4EAGinKFJocYlpPZSS0a/Rsp+3FMtr7FKnCKcG9e8pi8XSpG0W5HKhTQCH5+axvfTp8jzNXlOoxbm7dVRajNmRAADtEJNNoNV5vIaWby+VJA1JjW5yiQKApkiPD9N5R6VIkh7/fI0MwzA5EQCgPaJIodVtLKpQRW29QoNsykgMNzsOgA7gxrEZctqt+mlzsT5bkWd2HABAO0SRQqtbuq1EkjSgS5TsVt5yAFpfl+gQ/fmEnpKkv32ao8raepMTAQDaGz7VolXtLKlWXmmNrJaGIgUAbeWaUd2VGhui/LIaPffNBrPjAADaGYoUWtXi3N2SpMykSIU5mdsEQNsJdtj0wOkNE9+88u0mbSri8gkAgJZDkUKrKa50a2NRpSQpqyuzZgFoe2P6JOjE3p1U5zH04CermXgCANBiKFJoNXtHo7rHhyk2LMjkNAA6IovFovvP6Kcgm1Xz1hXpk+VMPAEAaBkUKbSKytp6rckrl8RoFABzpceH6boTGi4Sft+HK5VfyoW9AQBHjiKFVrFkW4k8hqHOUcFKjg4xOw6ADu760T01oEuUSqvrdPt7y+T1cogfAODIUKTQ4uq80oo9F+AdymgUAD/gsFn19IWDFeyw6tv1Lv13/hazIwEAAhxFCi1uU4VVbo9XMaEOpceHmR0HACRJPRPCdfdpfSRJkz5fo/UF5SYnAgAEMooUWpTF4dT6MpukhnOjLBaLyYkA4BeXjuiq43t1Um29Vzf8b4mq3FyoFwDQPBQptKjwwaep1mtRZLBdmUmRZscBgEYsFouePG+g4sKCtCa/XLe+w/lSAIDm4QqpaDE19V5FDT9HkjQsPVY2K6NRAFpHTk7OET3/1uERemDOLs1cla8735yni/tHSJLi4+OVlpbWEhEBAO0cRQot5ouNVbKFxSjUZjAaBaBVlBUXSZImTJhwxNsK6z9G8eNv0bTVFXph0n2qWvOtQkJDtSYnhzIFADgkU4vUvHnz9OSTT2rRokXKy8vT9OnT9bvf/c73uGEYeuCBB/Tvf/9bJSUlOuaYY/Tiiy8qIyPDt05xcbFuuOEGffLJJ7JarTr33HM1efJkhYeHm/CKOq4qd70+XFMpSeoT5WE0CkCrqK4okySNv+Ye9R6YdcTbW77bo/XlNiX+7g71Ny7UJ49fL5fLRZECABySqUWqsrJSgwYN0pVXXqlzzjlnn8efeOIJ/fOf/9Trr7+u9PR03XfffRo3bpxWr16t4OBgSdIll1yivLw8zZo1S3V1dbriiit09dVX6+23327rl9OhvfVjrkprvaoryVdaaqzZcQC0c3HJXZWS0e+It5NsGKpfnqfNrkqttnSVs0tmC6QDAHQEpk42ceqpp+pvf/ubzj777H0eMwxDzzzzjO69916dddZZGjhwoP773/9q586d+vDDDyU1HCM/c+ZMvfLKKxo+fLiOPfZYPfvss5o6dap27tzZxq+m46py1+vleRslSaU/vCMGowAECqvFolP7JyklJkT1hkUJ5z+sNS632bEAAAHAb2ft27x5s/Lz8zV27FjfsqioKA0fPlzz58+XJM2fP1/R0dEaOnSob52xY8fKarXqp59+OuC2a2trVVZW1uiG5vv3vM1yVbiVGGZT5aqvzY4DAE3isFl15qBkdXJ6ZXWG6uF5xVq0tdjsWAAAP+e3RSo/P1+SlJiY2Gh5YmKi77H8/HwlJCQ0etxutys2Nta3zv5MmjRJUVFRvltqamoLp+84CstrfKNREwZGSF6PyYkAoOkcNqtGdqpXzdZlqqk3dMkrP+mz5XlmxwIA+DG/LVKt6a677lJpaanvtm3bNrMjBaxnvlqvKrdHg1OjNTIl2Ow4ANBsdqtU+N7DOirJqZo6rya+vVhPz1rHdaYAAPvlt0UqKSlJklRQUNBoeUFBge+xpKQkFRYWNnq8vr5excXFvnX2x+l0KjIystENTbehsFzv/NxQQu8Z30cWCydHAQhsRn2t7jo2Rn88Nl2SNHn2ek18e7Eqa+tNTgYA8Dd+W6TS09OVlJSk2bNn+5aVlZXpp59+UnZ2tiQpOztbJSUlWrRokW+dr7/+Wl6vV8OHD2/zzB3NY5+vkcdr6OS+iTq6GzP1AWgfbFaL7j29r544b6AcNos+X5mvUyd/qwWbOW8KAPALU6c/r6io0IYNG3z3N2/erKVLlyo2NlZpaWm6+eab9be//U0ZGRm+6c+Tk5N915rq06ePTjnlFP3pT3/SSy+9pLq6Ol1//fW66KKLlJycbNKr6hjmb9ylr3IKZbNadOepTBcMoP25YGiqenQK043/W6rc4ipd+K/5+tNx3XXrSb0U7LCZHQ8AYDJTR6QWLlyoIUOGaMiQIZKkW2+9VUOGDNH9998vSbrjjjt0ww036Oqrr9bRRx+tiooKzZw503cNKUl66623lJmZqTFjxui0007Tscceq3/961+mvJ6Oot7j1cOfrpYk/X5Ymnp04uLHANqnrK6x+vzm43R+VooMQ/rXvE0a/89vNW9dkdnRAAAmM3VE6oQTTpBhHPgkXovFoocfflgPP/zwAdeJjY3l4rttbMoPW5STV6boUIduHpthdhwAaFWRwQ49ef4gjeuXpL9+sEIbiyp12X8WaGyfRN13eh91jQszOyIAwASmFikEnrzSaj09a50k6a+nZCou3GlyIgBoG2P7Jmp2eqwmf7Ver8/foq9yCjRvXZEuy+6qP5/YU7FhQYfcRm5urlwuV6vki4+PV1paWqtsGwCwL4oUmuThT1ar0u3RUWnRumAo198C0LFEhTh0/xl9dfGwVD386Wp9u96lV77brKk/b9PVx3fXVcemK8y5/39ac3Nzldmnj6qrqlolW0hoqNbk5FCmAKCNUKRw2L5ZU6jPV+bLZrXo0bMHyGplunMAHVNGYoT+e+UwzVlXpCdnrtXqvDI9NWudXv9hi64f3VO/H54mp73xhBQul0vVVVW65M4nlZjWo0XzFORu1FuP3y6Xy0WRAoA2QpHCYal2e3T/xyslSVce0019OnPtLQAdm8Vi0Ym9EzQqo5M+XZGnp75cqy27qvTQJ6v1yrebdctJvXT2kC6y/eaXTolpPZSS0c+k1ACAluK315GCf3l85hptK65W56hg3Ty2l9lxAMBvWK0WnTkoWbNuHaW/nz1AiZFO7Sip1l+mLdMpz8zTF6vyDzqxEgAgMDEihUP6foNLU37YIkl67NyBBzz+HwA6MofNqt8PT9PZQ7ro9flb9OKcjVpfWKFr3likwanROqcHv7sEgPaET8Q4qLKaOt0+bZkk6ZLhaRrVq5PJiQDAv4UE2XTtqB66eFia/jVvo/7z3RYt3VaipdukuPG3qtZjdkIAQEvg12M4qIc+Xq2dpTXqGhequ0/rY3YcAAgYUSEO3T4uU3PvOEETRqTJIim8/2h9mefQmrwyDvcDgABHkcIBfbEqX+8v3i6rRfq/8wdxSB8ANENCRLD+9rsBmjQmTu7CzXJ7LfpidYE+XZ6nmjqGpwAgUFGksF87Sqp15/vLJUlXH99DQ7vFmpwIAAJbr7gg5b1+s/pF1ctmsWiTq1L/W5CrwrIas6MBAJqBIQbsw13v1cS3Fqukqk6DUqJ0y0kZZkcCgDaTk5PTetv1epQZ5dWAXimasSJPZTX1enfRdo3q1UkDukS1yn4BAK2DIoV9PPb5Gi3dVqLIYLue+/1R+1xUEgDao7LiIknShAkTWnU/FRUVyswI1sXD0vTl6gJtdlXq6zWFKqly69ie8bJYuNg5AAQCihQa+XxFnv7z/WZJ0lMXDFZqbKjJiQCgbVRXlEmSxl9zj3oPzGrx7ecsmKvPX5+smpqGQ/mCHTadMbCzft6yW/M37dLi3BLV1Hk1JjNBVitlCgD8HUUKPpuKKnTHew3nRV0zqrvG9k00OREAtL245K5KyejX4tstyN24zzKLxaJh6bEKc9o0O6dQq/PKVFPn0an9k2S3cRozAPgzfkpDklRaVaerXl+o8tp6Hd0tRn85ubfZkQCgw+iXHKXxAzvLZm2YhOLj5TtV7/WaHQsAcBAUKajO49Wf316kza5KdYkO0YsTsuTgN6EA0KZ6dArX7wYny2GzaFtxtWauzJfXy7WmAMBf8Wm5gzMMQw9+vErfb9ilsCCbXrl8qOLDnWbHAoAOKSUmVGcMTJbNYtHGokp9vbaQC/cCgJ+iSHVw/52/VW/9lCuLRZp80RD16RxpdiQA6NBSY0N1Sv8kWSSt2lmm7zfuMjsSAGA/KFId2Lx1RXrok1WSpL+eksnkEgDgJ3omhGtMnwRJ0qKtu7VsW4m5gQAA+6BIdVAbCss18e3F8hrSeVkpuvr47mZHAgD8Sr/kKI3sESdJmre+SNt3V5mcCADwa0x/7odyc3PlcrlaZdvx8fGKiEtqmKGvpmGGvkfP7s8FIAHADw3tGiNXRa3WFVRoxop8XXR0qiJDHGbHAgCIIuV3cnNzldmnj6qrWuc3jyHhERr36MfauqtKKTEhemlClpx2W6vsCwBwZCwWi8b2SdTuqjoVldfq0xV5Oj8rhZlVAcAPUKT8jMvlUnVVlS6580klpvVo0W3n527UzKVbtWRnpULsFt02LExb163S1hbafk5OTgttCQCwl8Nm1ekDO2vqgm0qKq/VVzkFOqVfEkcSAIDJKFJ+KjGth1Iy+rXoNlfkVylicB8ZXo+2/O8RnfPowhbd/l4VFRWtsl0A6Kgigx0aP6CzPliyXesKKpQaU6b+XaLMjgUAHRpFqoPY7KrUOnfDP7qda7fpvNvubvF95CyYq89fn6yampoW3zYAdHRdYkKU3SNO32/YpTnritQ5KlhxXPcPAExDkeoAdlXUaubKfEkWlS/7QsePGNDio12SVJC7scW3CQD4RVZajLYXV2trcZVmrGyYfILzpQDAHPz0beeq3PX6eNlOuT1eRapSxV++KA6rB4DAZLFYdHK/RIUG2VRc6da8dUVmRwKADosi1Y7Ve736bHmeymrqFRXiUB/tkLz1ZscCAByB0CC7xvVLkiSt3Fmm9QXlJicCgI6JItVOGYahb9YUaWdpjYJsVp05KFkOecyOBQBoAWmxoTq6W4wkafaaQlXzOzIAaHMUqXZqcW6JVueVySLptAFJig0LMjsSAKAFDU+PU0KEU7X1Xi0s5pRnAGhrFKl2aLOrUt9tcEmSju/VSV3jwkxOBABoaTarReP6JclmtaiwxqrwIePNjgQAHQpFqp0pra7TF6vyJUn9kyM1KIXrjABAexUbFqRje8ZLkmJOvEI7yjjGDwDaCkWqHan3eDVjRZ5q671KigzWqN6dZGGKPgBo1walRCkh2CurI1iTF5SozuM1OxIAdAgUqXZk7roiFZbXKthh1WkDkmS38tcLAO2dxWLR0Nh6earLtaG4Ts99vcHsSADQIfBJu51YvbNMK3eWSZJO6ZekiGCHyYkAAG0lxC4Vf/mCJOm5bzZoSe5ukxMBQPtHkWoHdlXU6pu1hZKk7O5xTC4BAB1Q1ZpvdVxasDxeQ7e+u0xVbs6XAoDWRJEKcPUer2auyle912h0XREAQMfzp6OilBQZrM2uSv19Ro7ZcQCgXaNIBbjvN+ySq8KtEIdNJ/dNZHIJAOjAwoOs+sf5gyRJb/6Y6ztaAQDQ8ihSAWyzq1JLt5dIkk7qm6gwJxdkBICO7tiMeF1xTDdJ0h3vLdfuSre5gQCgnaJIBajK2nrNWl0gSRqcGq30eM6LAgA0uPOUTPVMCFdRea3unr5ChmGYHQkA2h2KVAAyDEOzcgpUXedRfHiQjukZZ3YkAIAfCXbY9MyFg2W3WvT5ynxNX7LD7EgA0O5QpALQqrwybd1VJZvVolP6cb0oAMC++neJ0s1jMyRJD3y0SjtKqk1OBADtC5/AA0xZdZ3mrSuSJI3sHqe4cKfJiQAA/uraUT10VFq0ymvrddu7S+XxcogfALQUilQA2XtIX53HUHJUsAanRZsdCQDgx+w2q56+cLBCg2z6cVOxXvhmg9mRAKDdoEgFkGXbS7V9d7XsVotO6psoK1OdAwAOoWtcmB45q78k6emv1unHTbtMTgQA7QNFKkCUVLn1/QaXJOm4jHhFhwaZnAgAECjOzUrRuUelyGtIN01dol0VtWZHAoCAR5EKAIZhaPaaQtV7DaXEhGhAlyizIwEAAswjv+unHp3CVFBWq9umLZOX86UA4IhQpALA6rwy3yF9Y/skysIhfQCAJgoNsuv5S46S027VnLVFenHuRrMjAUBAo0j5ucraen27vuGQvuzucYoKcZicCAAQqDKTIvXQmf0kSf/4cq1m5xSYnAgAAhdFys/NWVek2nqvEiKcGpwabXYcAECAu2hYmn4/PE2GId00dak2FJabHQkAAhJFyo9tLKrQhsIKWSzS2D6Jslo5pA8AcOQePKOfhnWLVUVtvf74+kKVVtWZHQkAAg5Fyk+5vdI3awolSVlpMeoUwYV3AQAtI8hu1QsTjlKX6BBt2VWl6/+3WHUer9mxACCgUKT81MoSmyrdHkWHOjQ8PdbsOACAdiY+3Kl/XZalEIdN36536Y73ljOTHwA0AUXKDzlT+2tzhU2SNDYzUXYbf00AgJbXLzlKz/1+iGxWi6Yv2aFHPlstw6BMAcDh4BO6n6mtNxR3yo2SpP5dItUlJsTkRACA9mxMn0T94/yBkqTXvt+iZ7/eYHIiAAgMFCk/M211uRyxyQq2GTq2Z7zZcQAAHcDZQ1L0wBl9JUlPzVqnV7/bbHIiAPB/FCk/snJHqT5cWylJGhJTL6fdZnIiAEBHccUx6bpxTIYk6ZFPV+uZr9ZxmB8AHARFyo8EO2zqEeNQ5ZpvlRzKP14AgLZ1y9gM3TK2lyTpma/W68GPVzEBBQAcAEXKj/RMCNffR8dp1+f/NDsKAKADslgsumlshh46s58k6fX5W3XLu0tVU+cxORkA+B+KlJ+xWS0y3NVmxwAAdGCXj+ymyRcNlt1q0UdLd+r8l+ZrW3GV2bEAwK/YzQ4AAAD8z1mDuyg2LEg3/m+JVuwo1enPfqenLxyk0ZmJLb6v3NxcuVyuFt/uXvHx8UpLS2u17QPomChSAABgv47L6KRPbzxOE99arKXbSnTllIX647HpuvXkXgoNapmPELm5ucrs00fVVa034hUSGqo1OTmUKQAtiiIFAAAOqEt0iN69JluPfrZar8/fqle+26zPV+br4bP6aUyfIx+dcrlcqq6q0iV3PqnEtB4tkLixgtyNeuvx2+VyuShSAFoURQoAgHYiJyen1bZ91ZB4ndD7aN374UrtKKnWVa8v1Lh+ibp9XKZ6JoQf8fYT03ooJaNfCyQFgLZBkQIAIMCVFRdJkiZMmNBq+9h7eNysW4/X5Nnr9cq3m/XFqgJ9ubpA4wd01g2jM9Q7KaLV9g8A/oYiBQBAgKuuKJMkjb/mHvUemNXi2//t4XF3ndpHZw/poqe+XKcvVxfo0+V5+nR5nk7s3UnnD03VmD4JXFQeQLtHkQIAoJ2IS+7aqofH/fbQwWv7WzUuJV7vra7Qj9tr9M3aIn2ztkjhQRYdlxaio5OD1bdTkIJslsPeJgAECooUAAA4qMM5dNAek6zwAWMV1n+0KiLi9fmGKn2+oUreuhrV5q5UTe4KufPXq7Zgo4zayn2eX1FR0Wr5AaA1UKQAAMBBNeXQQcOQCmrqtKPKqoIaq6oVrJAeQxXSY6hvnTC7oQi7oXCHoYod67X8y3dVWOlRcnWdQoNsstusrfp6AKAlUKQAAMBhOdxDB1MlDZVkGIZ2VbqVu6tKeWU1KiyrUVlNvSrrLaqst0g1kiIzlXDe/VpSKy35YYskKchuVWiQbc/N3vCnY8/XTptCHA2PhTntclC6AJiEIgUAAFqFxWJRfLhT8eFO37LqOo9c5bUqqa5TaVWdNufmKi8vT5HJ3VUvhzyGIXe9V+56r0qq6g65j9Agm6JCHIoKcSg2LEid9uwvzGmTxXLgc7MA4EhRpAAAQJsJcdiUGhuq1L33c3/Qkv/erpMf+pcGjThetfVeVbk9qnLX7/mz4etq39e/PFbvNXzL8kpr9tlPcnSwQuusCurcSx6v0fYvFkC7RpECAAB+wWKxKNhhU7DDptiwoEOuX1PnUWl1nUqr61RSXaddFbVyVbi1u8qt6jqPNhZVSrKr82VP6YqPCzR6/RKNzkzQqF6dFHMY2weAg6FIAQCAgLS3dCVGBjdaXu/xqqiiVjtKqrVxe5F2lFSpQuH6eNlOfbxsp2xWi47pGa8zBnbWuP5Jigx2mPQKAAQyihQAAGhX7DarOkeFqHNUiJLceXrq4d/rzZnfa4c3Wl+vKdSa/HLNW1ekeeuKdM+HK3VSn0T9fniasrvHyWrlvCoAh4ciBQAA2jfDqz7xQbrkqEzdcUqmNrsq9cme0akNhRX6bEWePluRp/T4MF08LFXnZaUe1qGFADo2ihQAAOhQ0uPDdOOYDN0wuqdW7SzT1J9z9eGSndrsqtTfZ6zRP75Yp1MHJOmS4V11dLcYZv8DsF8UKQAA0CFZLBb17xKlv3UZoLtO7aOPl+3U2z/lasWOUn20dKc+WrpTvRLDdfnIbjp7SBeFBvGxCcAvuIodAADo8MKcdl08LE2f3HCsPr7+GF10dKpCg2xaV1Che6av1Ii/z9bfPl2t3F1VZkcF4Cf41QoAAMCvDEyJ1sCUaN09vo/eW7hdr8/foq27qvTKd5v16vebNSYzQX8Yma5jesZx2B/QgVGkAAAA9iMy2KErj03XH0Z205x1hZryw1bNW1ekr3IK9VVOoTISwnXZyG46Z0gXhTn5SAV0NPxfDwAA2r2cnJwjen60pJsH23V+906asaFS32yp1vrCCt334Uo9MXONLhiaqt8PT1OPTuEtkheA/6NIAQCAdqusuEiSNGHChBbdriUoROEDxipy6Jkqj+6sV7/brFe/26xh6bG66OhUnTags4IdthbdJwD/QpECAADtVnVFmSRp/DX3qPfArBbddkHuRr31+NX696ff6Ycih+asLdSCzcVasLlYD3y0SqcOSNLvhnTRiHQu9Au0RxQpAADQ7sUld1VKRr9W2LKhozoH64/jj1JeabWmLdyud37eph0l1Xp34Xa9u3C7kiKDdUr/JJ3SP0lHd4uVjVIFtAsUKQAAgBbQOSpEN47J0PUn9tSCLcX6aOkOfbY8T/llNZrywxZN+WGLYsOCNDozQcf36qRjesQpLtxpdmwAzUSRAgAAaEFWq0UjusdpRPc4PXhmP81dW6QvVhVo9poCFVe69d6i7Xpv0XZJUv8ukRqeHqesrjHK6hqjxMhgk9MDOFwUKQAAgCNwqBkB4yVd0lO6sHuccorcWpRXq2UFtdpaWq+VO8q0ckeZXv1uc8O6oVZ1i3KoW7RDXaPt6p/WSSP69VBIEBNXAP6GIgUAANAMRzojoDUsWiFdB8vZJVPOLn3k6NRNrirJVVWrhXm1DSvNL5G0XkmRwUqLDVVCpFOdIvbcwn/5Oj7cqXCnXaFBNi4SDLQRihQAAEAztPSMgHVej0rcXpXWWVTqtmhXpVslNR7ZgsOVX1aj/LKaQ27DYpHCguwKc9oU5rT7vg532hvuO+0KddgU7LAp2GGV077nz73L7Hu+tlv3rNN4vWCHTU67lbIGiCIFAABwRFprRsDt61fpqYnn619T3lJEcncVVnq0u8arkhqPSmq8jb4uq/XKa0iGIVXU1quitl5SbYtn2stp/6VUBTtsCrJbZVFDkbOooWTV1dXJ46nX3s716+plqCGrJHmNXy8zDviYRZLDZpHDKoU4HQoPDZHTblWQzargIJsig+2KDHYoItiuiGCHIkPsinA23I8M+WV5hNPOdPRoEe2mSD3//PN68sknlZ+fr0GDBunZZ5/VsGHDzI4FAADQLHsPHbz6D5cc1voWh1OWoBBZHSENf+65WX77pyNYFnuQ7M4QjRpzkmxBwXJ7DLk9hur2/On2GKr1qNFyj/HLvmrrvaqt97bGyz5M9ZKqm/VMi6RQh0XhQVbfn2EOq8KCLApzWNUpOlxdO8crItiuEIdtzwjdLyNyewuk1WJpKI57ymPDn3vSeQ25671ye7xy13tVt+fPX+7vfdyjunpDtXsf33vzeH71dcP3+tfbqfv1X8av1NTUqK7OLbvVIrtVclgtctgsslsbCmhDEW14zG61yGmzKMhuUbB9z9e2X752/uZPu1Xq1KmT0tLSmvV9b4/aRZF65513dOutt+qll17S8OHD9cwzz2jcuHFau3atEhISzI4HAADQZK15MeFNKxfqwxf/rvdmTD78J1msDWXNHrTn5pTF7mj40+aQ9o5G/eqwv2PO/oOSUrppfx/7LXv+Y/n1/QM8tpfHkHZuXq/5M99v2Ldtz80RLKszVFZnmCzOUFmDwxvuB4XJGhy257FwWewOGZIq6wxV1nkO8EIrJRUc/velgzC8Hhn1mxQfnaPw4CCFOGwKCbL98uferx02hQY1FM7QPct9Xzsar++0N4xmOmwWOW0Ny4LsVrNf6mFrF0Xqqaee0p/+9CddccUVkqSXXnpJn332mf7zn//or3/9q8npAAAAmq81Dh0syN0oqXVKmiTlLJirz1+frC4xYRo8sG+Lbtso3KDqDT81I7shj+FWnVdye6U6r2XP1w1/1nmlktJSrVm2UCOOO1G24HDV/mqEzv2rETq3x/CVQ8PQPkXRapFv5Mdh+2UESF6Ptm3dLG9drQxP/Z5bnVRfJ8Pzq9ue+/LU+db5ZXm95Klr/MqMXxIMPeV8xSelyGM0HBrp1Z4/Dcs+yzyG5DEsqvfu/Vqq37Pe3mXGnjprsdpkCQpVcVW9iqvqm/rXdlhuH9dbE0/s2Srbbg0BX6TcbrcWLVqku+66y7fMarVq7Nixmj9//n6fU1tbq9raX44bLi0tlSSVlZW1btjDUFFRIanhuOja6qoW3fbeH5r5W9ZpY1hoi267tbdPdnO2T3Zztk92c7ZPdnO2T3Zztr9323Xu2hb/vLF3u5J/ZrdIcu65SZKse26StriWq3jms5ox89kWSHpg2WdOUFJKt18tsf42VZPlrluhRV99pOARR6tzl+gjC/grewvXlnUrNXvaa7LYg2VxBMnqcO4ZoWy4WR17Rin3LLfandKv7zucsticjZ9rc0hWe8PoosUqV/4OlZWZfzTZ3k7w64K6PxbjUGv4uZ07d6pLly764YcflJ2d7Vt+xx13aO7cufrpp5/2ec6DDz6ohx56qC1jAgAAAAgg27ZtU0pKygEfD/gRqea46667dOutt/rue71eFRcXKy4urtWn8ywrK1Nqaqq2bdumyMjIVt0XsBfvO5iB9x3MwnsPZuB9134YhqHy8nIlJycfdL2AL1Lx8fGy2WwqKGh8UmBBQYGSkpL2+xyn0ymns/HQaXR0dGtF3K/IyEj+J0Ob430HM/C+g1l478EMvO/ah6ioqEOuEzjTYhxAUFCQsrKyNHv2bN8yr9er2bNnNzrUDwAAAABaSsCPSEnSrbfeqssvv1xDhw7VsGHD9Mwzz6iystI3ix8AAAAAtKR2UaQuvPBCFRUV6f7771d+fr4GDx6smTNnKjEx0exo+3A6nXrggQf2ObQQaE2872AG3ncwC+89mIH3XccT8LP2AQAAAEBbC/hzpAAAAACgrVGkAAAAAKCJKFIAAAAA0EQUKQAAAABoIopUG3r++efVrVs3BQcHa/jw4VqwYIHZkeAn5s2bpzPOOEPJycmyWCz68MMPGz1uGIbuv/9+de7cWSEhIRo7dqzWr1/faJ3i4mJdcsklioyMVHR0tK666ipVVFQ0Wmf58uU67rjjFBwcrNTUVD3xxBP7ZJk2bZoyMzMVHBysAQMGaMaMGU3OgsAwadIkHX300YqIiFBCQoJ+97vfae3atY3Wqamp0cSJExUXF6fw8HCde+65+1wAPTc3V+PHj1doaKgSEhJ0++23q76+vtE6c+bM0VFHHSWn06mePXtqypQp++Q51M/Iw8mCwPDiiy9q4MCBvguXZmdn6/PPP/c9zvsObeGxxx6TxWLRzTff7FvGew9NYqBNTJ061QgKCjL+85//GKtWrTL+9Kc/GdHR0UZBQYHZ0eAHZsyYYdxzzz3GBx98YEgypk+f3ujxxx57zIiKijI+/PBDY9myZcaZZ55ppKenG9XV1b51TjnlFGPQoEHGjz/+aHz77bdGz549jYsvvtj3eGlpqZGYmGhccsklxsqVK43//e9/RkhIiPHyyy/71vn+++8Nm81mPPHEE8bq1auNe++913A4HMaKFSualAWBYdy4ccZrr71mrFy50li6dKlx2mmnGWlpaUZFRYVvnWuvvdZITU01Zs+ebSxcuNAYMWKEMXLkSN/j9fX1Rv/+/Y2xY8caS5YsMWbMmGHEx8cbd911l2+dTZs2GaGhocatt95qrF692nj22WcNm81mzJw507fO4fyMPFQWBI6PP/7Y+Oyzz4x169YZa9euNe6++27D4XAYK1euNAyD9x1a34IFC4xu3boZAwcONG666Sbfct57aAqKVBsZNmyYMXHiRN99j8djJCcnG5MmTTIxFfzRb4uU1+s1kpKSjCeffNK3rKSkxHA6ncb//vc/wzAMY/Xq1YYk4+eff/at8/nnnxsWi8XYsWOHYRiG8cILLxgxMTFGbW2tb50777zT6N27t+/+BRdcYIwfP75RnuHDhxvXXHPNYWdB4CosLDQkGXPnzjUMo+Hv1uFwGNOmTfOtk5OTY0gy5s+fbxhGwy8BrFarkZ+f71vnxRdfNCIjI33vtTvuuMPo169fo31deOGFxrhx43z3D/Uz8nCyILDFxMQYr7zyCu87tLry8nIjIyPDmDVrljFq1ChfkeK9h6bi0L424Ha7tWjRIo0dO9a3zGq1auzYsZo/f76JyRAINm/erPz8/Ebvn6ioKA0fPtz3/pk/f76io6M1dOhQ3zpjx46V1WrVTz/95Fvn+OOPV1BQkG+dcePGae3atdq9e7dvnV/vZ+86e/dzOFkQuEpLSyVJsbGxkqRFixaprq6u0d93Zmam0tLSGr33BgwY0OgC6OPGjVNZWZlWrVrlW+dg76vD+Rl5OFkQmDwej6ZOnarKykplZ2fzvkOrmzhxosaPH7/P+4P3HprKbnaAjsDlcsnj8TT6n06SEhMTtWbNGpNSIVDk5+dL0n7fP3sfy8/PV0JCQqPH7Xa7YmNjG62Tnp6+zzb2PhYTE6P8/PxD7udQWRCYvF6vbr75Zh1zzDHq37+/pIa/76CgIEVHRzda97fvif29H/Y+drB1ysrKVF1drd27dx/yZ+ThZEFgWbFihbKzs1VTU6Pw8HBNnz5dffv21dKlS3nfodVMnTpVixcv1s8//7zPY/zMQ1NRpAAAmjhxolauXKnvvvvO7CjoIHr37q2lS5eqtLRU7733ni6//HLNnTvX7Fhox7Zt26abbrpJs2bNUnBwsNlx0A5waF8biI+Pl81m22emlYKCAiUlJZmUCoFi73vkYO+fpKQkFRYWNnq8vr5excXFjdbZ3zZ+vY8DrfPrxw+VBYHn+uuv16effqpvvvlGKSkpvuVJSUlyu90qKSlptP5v3xPNfV9FRkYqJCTksH5GHk4WBJagoCD17NlTWVlZmjRpkgYNGqTJkyfzvkOrWbRokQoLC3XUUUfJbrfLbrdr7ty5+uc//ym73a7ExETee2gSilQbCAoKUlZWlmbPnu1b5vV6NXv2bGVnZ5uYDIEgPT1dSUlJjd4/ZWVl+umnn3zvn+zsbJWUlGjRokW+db7++mt5vV4NHz7ct868efNUV1fnW2fWrFnq3bu3YmJifOv8ej9719m7n8PJgsBhGIauv/56TZ8+XV9//fU+h35mZWXJ4XA0+vteu3atcnNzG733VqxY0ajIz5o1S5GRkerbt69vnYO9rw7nZ+ThZEFg83q9qq2t5X2HVjNmzBitWLFCS5cu9d2GDh2qSy65xPc17z00idmzXXQUU6dONZxOpzFlyhRj9erVxtVXX21ER0c3mvUFHVd5ebmxZMkSY8mSJYYk46mnnjKWLFlibN261TCMhinHo6OjjY8++shYvny5cdZZZ+13+vMhQ4YYP/30k/Hdd98ZGRkZjaY/LykpMRITE41LL73UWLlypTF16lQjNDR0n+nP7Xa78Y9//MPIyckxHnjggf1Of36oLAgM1113nREVFWXMmTPHyMvL892qqqp861x77bVGWlqa8fXXXxsLFy40srOzjezsbN/je6cCPvnkk42lS5caM2fONDp16rTfqYBvv/12Iycnx3j++ef3OxXwoX5GHioLAsdf//pXY+7cucbmzZuN5cuXG3/9618Ni8VifPnll4Zh8L5D2/n1rH2GwXsPTUORakPPPvuskZaWZgQFBRnDhg0zfvzxR7MjwU988803hqR9bpdffrlhGA3Tjt93331GYmKi4XQ6jTFjxhhr165ttI1du3YZF198sREeHm5ERkYaV1xxhVFeXt5onWXLlhnHHnus4XQ6jS5duhiPPfbYPlneffddo1evXkZQUJDRr18/47PPPmv0+OFkQWDY33tOkvHaa6/51qmurjb+/Oc/GzExMUZoaKhx9tlnG3l5eY22s2XLFuPUU081QkJCjPj4eOO2224z6urqGq3zzTffGIMHDzaCgoKM7t27N9rHXof6GXk4WRAYrrzySqNr165GUFCQ0alTJ2PMmDG+EmUYvO/Qdn5bpHjvoSkshmEY5oyFAQAAAEBg4hwpAAAAAGgiihQAAAAANBFFCgAAAACaiCIFAAAAAE1EkQIAAACAJqJIAQAAAEATUaQAAAAAoIkoUgAAAADQRBQpAABagdvtVs+ePfXDDz+YmuOll17SGWecYWoGAGiPKFIAgMP2xz/+URkZGQoNDVVMTIyys7P15ptvmh3LL7300ktKT0/XyJEjJUlbtmyRxWLR0qVL91n3hBNO0M033+y7v2zZMp155plKSEhQcHCwunXrpgsvvFCFhYWNtrX3FhERoX79+mnixIlav359o21feeWVWrx4sb799ttWe60A0BFRpAAAhy0uLk6vvPKK1q9frwULFui6667Ttddeq5deesnsaH7FMAw999xzuuqqq5r83KKiIo0ZM0axsbH64osvlJOTo9dee03JycmqrKxstO5XX32lvLw8LVu2TH//+9+Vk5OjQYMGafbs2b51goKC9Pvf/17//Oc/j/h1AQB+QZECABy2xx9/XKNGjVKXLl2UkZGhyy67TCeffLLmzZvnW+eNN97Q0KFDFRERoaSkJP3+97/3jaRI0pw5c2SxWPTZZ59p4MCBCg4O1ogRI7Ry5UrfOlOmTGk04vLr229HdLp167bPOh9++KEkyePx6KqrrlJ6erpCQkLUu3dvTZ482ffcBx988ID7OeGEEyRJP//8s0466STFx8crKipKo0aN0uLFiw/6fVq0aJE2btyo8ePHN/l7/P3336u0tFSvvPKKhgwZovT0dJ144ol6+umnlZ6e3mjduLg4JSUlqXv37jrrrLP01Vdfafjw4brqqqvk8Xh8651xxv+3c28hUa1tHMD/k7vxNM7IjNOImOFh1LJCrUSLCEUpJKMC7UBpWR4wSMixCzuRkikapBGJJJUhiUFKdqBuLEwzB2kqTbGGtC40yKzxGNrMvogWzVZHV+29Y3/f/wcDaz3vYT1r3T28875xuHnzJsbGxkTnQ0RE02MhRUREP8VisaCtrQ3Nzc3YsGGDEJ+YmEBeXh6ePXuGuro69PT0YM+ePVPGZ2dn48yZM9Dr9VCr1YiLi8PExITQLpfL0dfXJ/xaW1tnzCM3N1fo9yOz2QxPT09cv34dL1++xPHjx5GTk4OamhoAgE6nE8ZlZWUhIiJCuL9x4wYAYGhoCElJSXj06BFaWlqg1WoRGxuLoaGhGb9NY2Mj/P394eLiMufv+Z27uzsmJydRW1sLi8Uiauy8efOQmZmJ3t5etLW1CfGVK1dicnIST548EZ0PERFN74/fnQAREf231NXVYdeuXfjy5Qu+fv2KY8eOITExUWhPTk4Wrn18fFBaWopVq1ZheHgYMplMaDtx4gRiYmIAAFeuXIGnpydqa2uRkJAAAJBIJHB3dxf6j4+PT5vPxMQElEqlVd/v5s+fj5MnTwr33t7eePz4MWpqapCQkACZTCbkJJPJIJVKp8wTFRVldV9eXg5XV1c8fPgQGzdunDan3t5eeHh4TNs2m/DwcOTk5GDnzp1IT09HWFgYoqKikJiYCI1GM+v4wMBAAN/2UYWFhQEAnJycoFAo0Nvb+1M5ERHRVFyRIiIiUWJiYmAwGKDX63HhwgWUlJRY7ZFqa2tDXFwcvLy84OLignXr1gEA3r59azVPRESEcK1UKhEQEIDOzk7R+ZhMJjg7O8/Yfv78eaxYsQJqtRoymQzl5eVTcrHl/fv3SElJgVarhUKhgFwux/DwsM05xsbG4ODgIOo9fnTq1Cn09/ejrKwMQUFBKCsrQ2BgIF68eDHr2O+rWBKJxCru6OiI0dHRn86JiIissZAiIiJRnJ2d4efnh+DgYKSlpUGn06G4uBgAMDIygvXr10Mul6Oqqgp6vR61tbUAvh0H/nczmUwYGRmZcfWnuroaOp0O+/btw/3792EwGLB3715RuSQlJcFgMKCkpATNzc0wGAxQqVQ253Bzc8Pg4KBVTC6XAwA+f/48pf+nT5+gUCisYiqVCvHx8SguLkZnZyc8PDyE72zL92L0r/upPn78CLVaPet4IiKaGxZSRET0SywWC8xmMwCgq6sLAwMDKCgowNq1axEYGGh10MSPWlpahOvBwUF0d3dj8eLFop6t1+shkUgQHBw8bXtTUxNWr16NjIwMhISEwM/PD0ajUdQzmpqacPDgQcTGxiIoKAj29vb48OGDzTEhISHo6uqy2uOkVCrh5uZmtXcJ+FYMvn79Gv7+/jPOJ5VK4evrO+XUvr8ym80oLS2Ft7c3QkJChLjRaMT4+LhVjIiIfg33SBER0ZyYTCbs378fqampCAgIwNjYGBobG1FUVISjR48CALy8vCCVSnHu3Dmkp6ejvb0deXl5086Xm5sLlUoFjUaDI0eOwM3NDZs3b55zPg0NDThw4ABiY2OxYMGCaftotVpUVlbi3r178Pb2xtWrV6HX66es1tii1WqFkwhNJhOys7Ph6Ohoc0xkZCSGh4fR0dGBpUuXCvFDhw4hPz8fGo0G4eHhGBgYQF5eHtRqNbZu3QoAuHXrFqqrq7F9+3b4+/vDYrGgvr4ed+7cwaVLl6yeMzAwgP7+foyOjqK9vR1nz55Fa2srbt++DTs7O6FfY2MjfHx84OvrO+f3JiIi21hIERHRnDg4OEClUiErKws9PT2ws7PDsmXLUFFRgfj4eACAWq3G5cuXkZOTg9LSUoSGhqK4uBibNm2aMl9BQQEyMzPx6tUrBAcHo76+HlKpdM75JCcnIzo6GkVFRTP2SUtLw9OnT7Ft2zZIJBLs2LEDGRkZuHv37pyfU1FRgdTUVISGhmLhwoXIz8+HTqezOUalUmHLli2oqqrC6dOnhfjhw4chk8lQWFgIo9EIpVKJNWvWoKGhQSjOlixZAicnJ2RlZeHdu3ewt7eHVqvFxYsXsXv3bqvnREdHA/h2mMSiRYsQGRmJ8vJy+Pn5WfW7du0aUlJS5vzOREQ0O4lF7NmqREREv+DBgweIjIzE4OAgXF1df3c6/5jnz58jJiYGRqPR6rTCf1tHRweioqLQ3d09ZR8WERH9PO6RIiIi+gcsX74chYWFePPmzW/No6+vD5WVlSyiiIj+ZlyRIiKif9X/y4oUERH9b2MhRUREREREJBL/2kdERERERCQSCykiIiIiIiKRWEgRERERERGJxEKKiIiIiIhIJBZSREREREREIrGQIiIiIiIiEomFFBERERERkUgspIiIiIiIiET6E41OExoweQilAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "sns.histplot(df['salary_in_usd'], bins=30, kde=True)\n", + "plt.title('Распределение зарплат')\n", + "plt.xlabel('Зарплата (USD)')\n", + "plt.ylabel('Частота')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Средняя зарплата составляет 150000 USD" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Подсчет количества работников по уровню опыта\n", + "experience_counts = df['experience_level'].value_counts()\n", + "\n", + "# Создание круговой диаграммы\n", + "plt.figure(figsize=(8, 8))\n", + "plt.pie(experience_counts, labels=experience_counts.index, autopct='%1.1f%%', startangle=140)\n", + "\n", + "# Настройка заголовка\n", + "plt.title('Распределение работников по уровню опыта')\n", + "\n", + "# Отображение диаграммы\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "По данной диаграмме можно сделать вывод, что большую часть сотрудников составляют Senior-level" + ] } ], "metadata": { -- 2.25.1 From ea6bea83fa63fe4adce52f6cf0764de0ab79dd65 Mon Sep 17 00:00:00 2001 From: kaznacheeva Date: Sat, 12 Oct 2024 10:11:21 +0400 Subject: [PATCH 3/3] =?UTF-8?q?=D0=B4=D0=BE=D0=BF?= 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