From 6a486b37825b27ba0d6c65f05fc5a09c0bab65a2 Mon Sep 17 00:00:00 2001 From: Allllen4a Date: Mon, 14 Oct 2024 21:52:28 +0400 Subject: [PATCH] lab_2 --- lab_2/lab2.ipynb | 1449 ++++++++++++++++++++++++++++++++++++++++++++-- 1 file changed, 1407 insertions(+), 42 deletions(-) diff --git a/lab_2/lab2.ipynb b/lab_2/lab2.ipynb index c000aa5..43d53f9 100644 --- a/lab_2/lab2.ipynb +++ b/lab_2/lab2.ipynb @@ -4,28 +4,110 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Выгрузка в датафрейм первый набор (оценки студентов на экзаменах)\n", + "## Выгрузка в датафрейм первого набора (Объекты вокруг земли)\n", "\n", - "https://www.kaggle.com/datasets/spscientist/students-performance-in-exams. " + "https://www.kaggle.com/datasets/sameepvani/nasa-nearest-earth-objects" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "Этот набор данных состоит из оценок, полученных студентами по различным предметам." + "В космическом пространстве существует бесконечное количество объектов. Некоторые из них находятся ближе, чем мы думаем. Хотя нам может казаться, что расстояние в 70 000 км не может причинить нам вред, в астрономическом масштабе это очень маленькое расстояние, которое может нарушить многие природные явления. Таким образом, эти объекты/астероиды могут причинить вред. Поэтому разумно знать, что нас окружает и что может причинить нам вред. Таким образом, этот набор данных содержит список сертифицированных НАСА астероидов, которые классифицируются как ближайшие к Земле объекты.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Проблемная область: угроза космических объектов\n", + "\n", + "Объект наблюдения: астероиды и другие малые тела Солнечной системы\n", + "\n", + "\n", + "Бизнес-цели: \n", + "1. Мониторинг и предупреждение о космических угрозах\n", + "Разработка платформы для регулярного мониторинга потенциально опасных космических объектов с использованием данных из вашего датасета. Это может включать:\n", + "\n", + "Система раннего предупреждения: Создание алгоритмов и моделей, которые бы заранее сообщали о приближении объектов (например, астероидов) к орбите Земли.\n", + "Информационные каналы: Предоставление информации о пространственном расположении и траекториях объектов для правительственных организаций и агентств.\n", + "\n", + "2. Консультационные услуги для правительств и бизнеса\n", + "Предоставление специализированных услуг по анализу угроз космических объектов, которые могут включать:\n", + "\n", + "Оценка рисков: Анализ угроз и оценка вероятности столкновения для государственных структур, научных организаций и приватного сектора.\n", + "Разработка стратегий защиты: Консультирование по вопросам разработки мер защиты и методов нейтрализации потенциальных угроз.\n", + "\n", + "3. Привлечение инвестиций в космическую отрасль\n", + "Использование данных для привлечение инвестиций в проекты, связанные с изучением космических объектов и их безопасностью:\n", + "\n", + "Создание стартапов: Поддержка идеи создания стартапов, занимающихся космическими технологиями и защитой Земли от космических угроз.\n", + "Привлечение финансирования: Разработка бизнес-стратегий для получения грантов и финансирования от организаций, заинтересованных в космической безопасности.\n", + "\n", + "\n", + "Актуальность: \n", + "Изучение космических объектов и их взаимодействие с Землей представляет значительный научный интерес. Это также является основой для международного сотрудничества, где государства, организации и научные институты объединяют усилия для наблюдений, исследований и разработки совместных планов по предотвращению угроз." ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 6, "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['id', 'name', 'est_diameter_min', 'est_diameter_max',\n", + " 'relative_velocity', 'miss_distance', 'orbiting_body', 'sentry_object',\n", + " 'absolute_magnitude', 'hazardous'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# вывод всех столбцов\n", + "df = pd.read_csv(\".//static//csv//neo.csv\")\n", + "print(df.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Атрибуты: имя объекта, минимальный и максимальный оценочные диаметры, относительная скорость, расстояние промаха, орбитальное тело, объекты программы \"Сентри\", абсолютная звездная величина, опасность" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Проверяем на выбросы" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Количество выбросов в столбце 'relative_velocity': 1574\n", + "Количество выбросов в столбце 'miss_distance': 0\n", + "Количество выбросов в столбце 'absolute_magnitude': 101\n" + ] + }, { "data": { - "image/png": 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", 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" ] }, "metadata": {}, @@ -37,49 +119,423 @@ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", - "# Ваши данные\n", - "df = pd.read_csv('.//static//csv//StudentsPerformance.csv') # Загрузите свои данные\n", + "# Выбираем столбцы для анализа\n", + "columns_to_check = ['relative_velocity', 'miss_distance', 'absolute_magnitude']\n", "\n", - "# Преобразуем столбцы 'gender' и 'parental level of education' в категориальные\n", - "df['gender'] = df['gender'].astype('category')\n", - "df['parental level of education'] = df['parental level of education'].astype('category')\n", + "# Функция для подсчета выбросов\n", + "def count_outliers(df, columns):\n", + " outliers_count = {}\n", + " for col in columns:\n", + " Q1 = df[col].quantile(0.25)\n", + " Q3 = df[col].quantile(0.75)\n", + " IQR = Q3 - Q1\n", + " lower_bound = Q1 - 1.5 * IQR\n", + " upper_bound = Q3 + 1.5 * IQR\n", + " \n", + " # Считаем количество выбросов\n", + " outliers = df[(df[col] < lower_bound) | (df[col] > upper_bound)]\n", + " outliers_count[col] = len(outliers)\n", + " \n", + " return outliers_count\n", "\n", - "# Визуализация оценок по математике, чтению и письму по полу\n", - "plt.figure(figsize=(18, 6))\n", + "# Подсчитываем выбросы\n", + "outliers_count = count_outliers(df, columns_to_check)\n", "\n", - "# Точечная диаграмма оценок по математике с цветами по полу\n", - "plt.subplot(1, 3, 1)\n", - "sns.scatterplot(x='gender', y='math score', hue='gender', style='gender', data=df, s=100)\n", - "plt.title('Math Score by Gender')\n", - "plt.ylabel('Math Score')\n", - "plt.ylim(0, 100)\n", - "\n", - "# Точечная диаграмма оценок по чтению с цветами по полу\n", - "plt.subplot(1, 3, 2)\n", - "sns.scatterplot(x='gender', y='reading score', hue='gender', style='gender', data=df, s=100)\n", - "plt.title('Reading Score by Gender')\n", - "plt.ylabel('Reading Score')\n", - "plt.ylim(0, 100)\n", - "\n", - "# Точечная диаграмма оценок по письму с цветами по полу\n", - "plt.subplot(1, 3, 3)\n", - "sns.scatterplot(x='gender', y='writing score', hue='gender', style='gender', data=df, s=100)\n", - "plt.title('Writing Score by Gender')\n", - "plt.ylabel('Writing Score')\n", - "plt.ylim(0, 100)\n", + "# Выводим количество выбросов для каждого столбца\n", + "for col, count in outliers_count.items():\n", + " print(f\"Количество выбросов в столбце '{col}': {count}\")\n", "\n", + "# Создаем диаграммы размахов\n", + "plt.figure(figsize=(15, 10))\n", + "for i, col in enumerate(columns_to_check, 1):\n", + " plt.subplot(2, 2, i)\n", + " sns.boxplot(x=df[col])\n", + " plt.title(f'Box Plot of {col}')\n", "plt.tight_layout()\n", "plt.show()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "В столбцах 'relative_velocity'и 'absolute_magnitude' присутствуют выбросы. Очистим их." + ] + }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Количество выбросов в столбце 'relative_velocity': 1574\n", + "Количество выбросов в столбце 'absolute_magnitude': 101\n", + "Количество удаленных строк: 1678\n" + ] + }, + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Выбираем столбцы для анализа\n", + "columns_to_check = ['relative_velocity', 'absolute_magnitude']\n", + "\n", + "# Функция для подсчета выбросов\n", + "def count_outliers(df, columns):\n", + " outliers_count = {}\n", + " for col in columns:\n", + " Q1 = df[col].quantile(0.25)\n", + " Q3 = df[col].quantile(0.75)\n", + " IQR = Q3 - Q1\n", + " lower_bound = Q1 - 1.5 * IQR\n", + " upper_bound = Q3 + 1.5 * IQR\n", + " \n", + " # Считаем количество выбросов\n", + " outliers = df[(df[col] < lower_bound) | (df[col] > upper_bound)]\n", + " outliers_count[col] = len(outliers)\n", + " \n", + " return outliers_count\n", + "\n", + "# Подсчитываем выбросы\n", + "outliers_count = count_outliers(df, columns_to_check)\n", + "\n", + "# Выводим количество выбросов для каждого столбца\n", + "for col, count in outliers_count.items():\n", + " print(f\"Количество выбросов в столбце '{col}': {count}\")\n", + "\n", + "# Выбираем столбцы для очистки\n", + "columns_to_clean = ['relative_velocity', 'absolute_magnitude']\n", + "\n", + "# Функция для удаления выбросов\n", + "def remove_outliers(df, columns):\n", + " for col in columns:\n", + " Q1 = df[col].quantile(0.25)\n", + " Q3 = df[col].quantile(0.75)\n", + " IQR = Q3 - Q1\n", + " lower_bound = Q1 - 1.5 * IQR\n", + " upper_bound = Q3 + 1.5 * IQR\n", + " \n", + " # Удаляем строки, содержащие выбросы\n", + " df = df[(df[col] >= lower_bound) & (df[col] <= upper_bound)]\n", + " \n", + " return df\n", + "\n", + "# Удаляем выбросы\n", + "df_cleaned = remove_outliers(df, columns_to_clean)\n", + "\n", + "# Выводим количество удаленных строк\n", + "print(f\"Количество удаленных строк: {len(df) - len(df_cleaned)}\")\n", + "\n", + "# Создаем диаграммы размаха для очищенных данных\n", + "plt.figure(figsize=(15, 6))\n", + "\n", + "# Диаграмма размаха для relative_velocity\n", + "plt.subplot(1, 2, 1)\n", + "sns.boxplot(x=df_cleaned['relative_velocity'])\n", + "plt.title('Box Plot of Relative Velocity (Cleaned)')\n", + "plt.xlabel('Relative Velocity')\n", + "\n", + "# Диаграмма размаха для absolute_magnitude\n", + "plt.subplot(1, 2, 2)\n", + "sns.boxplot(x=df_cleaned['absolute_magnitude'])\n", + "plt.title('Box Plot of Absolute Magnitude (Cleaned)')\n", + "plt.xlabel('Absolute Magnitude')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Сохраняем очищенный датасет\n", + "df_cleaned.to_csv(\".//static//csv//neo.csv\", index=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Выбросов стало меньше." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Количество пропущенных значений в каждом столбце:\n", + "id 0\n", + "name 0\n", + "est_diameter_min 0\n", + "est_diameter_max 0\n", + "relative_velocity 0\n", + "miss_distance 0\n", + "orbiting_body 0\n", + "sentry_object 0\n", + "absolute_magnitude 0\n", + "hazardous 0\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Проверка на пропущенные значения\n", + "missing_values = df.isnull().sum()\n", + "\n", + "# Вывод результатов\n", + "print(\"Количество пропущенных значений в каждом столбце:\")\n", + "print(missing_values)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Пропущенных значений в датасете нет. Можно перейти к созданию выборок" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " id name est_diameter_min est_diameter_max \\\n", + "0 2162635 162635 (2000 SS164) 1.198271 2.679415 \n", + "1 2277475 277475 (2005 WK4) 0.265800 0.594347 \n", + "2 2512244 512244 (2015 YE18) 0.722030 1.614507 \n", + "3 3596030 (2012 BV13) 0.096506 0.215794 \n", + "4 3667127 (2014 GE35) 0.255009 0.570217 \n", + "\n", + " relative_velocity miss_distance orbiting_body sentry_object \\\n", + "0 13569.249224 5.483974e+07 Earth False \n", + "1 73588.726663 6.143813e+07 Earth False \n", + "2 114258.692129 4.979872e+07 Earth False \n", + "3 24764.303138 2.543497e+07 Earth False \n", + "4 42737.733765 4.627557e+07 Earth False \n", + "\n", + " absolute_magnitude hazardous \n", + "0 16.73 False \n", + "1 20.00 True \n", + "2 17.83 False \n", + "3 22.20 False \n", + "4 20.09 True \n", + "Размер обучающей выборки: (53494, 9)\n", + "Размер контрольной выборки: (17832, 9)\n", + "Размер тестовой выборки: (17832, 9)\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "print(df.head()) # Вывод первых строк DataFrame\n", + "\n", + "# Разделение на признаки (X) и целевую переменную (y)\n", + "# Предположим, что 'hazardous' - это целевая переменная\n", + "X = df.drop('hazardous', axis=1)\n", + "y = df['hazardous']\n", + "\n", + "# Разбиение на обучающую и остальную выборку (контрольную + тестовую)\n", + "X_train, X_rem, y_train, y_rem = train_test_split(X, y, train_size=0.6, random_state=42)\n", + "\n", + "# Разбиение остатка на контрольную и тестовую выборки\n", + "X_val, X_test, y_val, y_test = train_test_split(X_rem, y_rem, test_size=0.5, random_state=42)\n", + "\n", + "# Вывод размеров выборок\n", + "print(\"Размер обучающей выборки:\", X_train.shape)\n", + "print(\"Размер контрольной выборки:\", X_val.shape)\n", + "print(\"Размер тестовой выборки:\", X_test.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Распределение классов в обучающей выборке:\n", + "hazardous\n", + "False 0.905989\n", + "True 0.094011\n", + "Name: proportion, dtype: float64\n", + "\n", + "Распределение классов в контрольной выборке:\n", + "hazardous\n", + "False 0.905956\n", + "True 0.094044\n", + "Name: proportion, dtype: float64\n", + "\n", + "Распределение классов в тестовой выборке:\n", + "hazardous\n", + "False 0.906012\n", + "True 0.093988\n", + "Name: proportion, dtype: float64\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "\n", + "# Разделение на признаки (X) и целевую переменную (y)\n", + "X = df.drop('hazardous', axis=1)\n", + "y = df['hazardous']\n", + "\n", + "# Разбиение на обучающую и остальную выборку (контрольную + тестовую)\n", + "X_train, X_rem, y_train, y_rem = train_test_split(X, y, train_size=0.6, random_state=42, stratify=y)\n", + "\n", + "# Разбиение остатка на контрольную и тестовую выборки\n", + "X_val, X_test, y_val, y_test = train_test_split(X_rem, y_rem, test_size=0.5, random_state=42, stratify=y_rem)\n", + "\n", + "# Функция для анализа сбалансированности\n", + "def analyze_balance(y_train, y_val, y_test):\n", + " print(\"Распределение классов в обучающей выборке:\")\n", + " print(y_train.value_counts(normalize=True))\n", + " \n", + " print(\"\\nРаспределение классов в контрольной выборке:\")\n", + " print(y_val.value_counts(normalize=True))\n", + " \n", + " print(\"\\nРаспределение классов в тестовой выборке:\")\n", + " print(y_test.value_counts(normalize=True))\n", + "\n", + "# Анализ сбалансированности\n", + "analyze_balance(y_train, y_val, y_test)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Выборки сбалансированы." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Выгрузка в датафрейм второго набор (цены на бриллианты)\n", + "\n", + "https://www.kaggle.com/datasets/nancyalaswad90/diamonds-prices" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "В этом документе рассматривается набор данных, содержащий цены и атрибуты примерно для 54 000 бриллиантов круглой огранки.\n", + "В наборе данных 53 940 бриллиантов с 10 характеристиками (карат, огранка, цвет, чистота, глубина, таблица, цена, x, y и z)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Проблемная область: Данные о ценах на бриллианты, включая их характеристики\n", + "\n", + "\n", + "Объект наблюдения: бриллианты\n", + "\n", + "\n", + "Пример бизнес-цели:\n", + "\n", + "Анализ рынка: Исследование ценовых трендов на бриллианты в зависимости от различных факторов, таких как качество, размер, цвет и форма. Это позволит оценить динамику цен на рынке и выявить актуальные тренды.\n", + "\n", + "Оптимизация ценовой политики: На основе анализа данных компании смогут создавать более точные и обоснованные ценовые стратегии. Это поможет установить конкурентоспособные цены и увеличить маржинальность продаж.\n", + "\n", + "Прогнозирование цен: Применение методов машинного обучения для прогнозирования будущих цен на бриллианты. Это поможет бизнесу заранее оценить, когда лучше закупать изделия или проводить распродажи.\n", + "\n", + "Сегментация клиентов: Использование данных для сегментации клиентов по их предпочтениям и покупательскому поведению. Это позволит создать целевые маркетинговые кампании и персонализированные предложения.\n", + "\n", + "\n", + "Актуальность датасета с ценами на бриллианты обусловлена несколькими факторами, влияющими на рынок и потребительские предпочтения. Рассмотрим основные аспекты, подчеркивающие важность такого датасета:\n", + "\n", + "Рынковая динамика: Цены на бриллианты подвержены влиянию различных факторов, таких как экономические условия, изменения в спросе и предложении, а также сезонные колебания. Датасет позволяет отслеживать эти изменения и предсказывать тенденции.\n", + "\n", + "Инвестиционная привлекательность: Бриллианты все чаще рассматриваются как инвестиционный актив. Актуальный датасет помогает инвесторам оценить риски и потенциал доходности, анализируя исторические данные о ценах и их изменениях.\n", + "\n", + "Ценовая прозрачность: Для потребителей доступ к объективным данным о ценах помогает сделать осознанный выбор при покупке. Это актуально в условиях разнообразия предложений и поставщиков на рынке.\n", + "\n", + "Анализ качества: Бриллианты различаются по множеству характеристик (чистота, цвет, огранка и т.д.). Датасет может быть использован для анализа зависимости цен от этих параметров, что поможет покупателям выбрать качественные изделия по выгодным ценам.\n", + "\n", + "Маркетинговые стратегии: Компании могут использовать данные для разработки более целенаправленных и эффективных маркетинговых кампаний, ориентируясь на актуальные тренды и предпочтения аудитории.\n", + "Образование и осведомленность: Датасет может служить полезным ресурсом для обучения как профессионалов, так и потребителей. Правильное понимание рынка помогает избежать мошенничества и недобросовестной практики.\n", + "\n", + "Контекст глобальных изменений: В условиях глобализации и влияния различных политических, экономических и социальных факторов на рынок бриллиантов, актуальный датасет становится важным инструментом для анализа, прогноза и адаптации стратегий бизнеса." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['Unnamed: 0', 'carat', 'cut', 'color', 'clarity', 'depth', 'table',\n", + " 'price', 'x', 'y', 'z'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "df = pd.read_csv(\".//static//csv//Diamonds Prices2022.csv\")\n", + "print(df.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Атрибуты: Unnamed: 0 - Неопределено: 0 (или Неизвестный: 0)\n", + "carat - Караты\n", + "cut - Огранка\n", + "color - Цвет\n", + "clarity - Чистота\n", + "depth - Глубина\n", + "table - Площадь огранки\n", + "price - Цена\n", + "x - Ширина (или X-координата)\n", + "y - Длина (или Y-координата)\n", + "z - Высота (или Z-координата)" + ] + }, + { + "cell_type": "code", + "execution_count": 26, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -89,15 +545,924 @@ } ], "source": [ - "# Группируем данные по уровню образования родителей и рассчитываем средние оценки по математике\n", - "average_math_scores = df.groupby('parental level of education')['math score'].mean().reset_index()\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Загрузка данных\n", + "df = pd.read_csv(\".//static//csv//Diamonds Prices2022.csv\")\n", "\n", - "# Визуализация данных\n", "plt.figure(figsize=(10, 6))\n", - "plt.barh(average_math_scores['parental level of education'], average_math_scores['math score'], color='skyblue')\n", - "plt.xlabel('Средний балл по математике')\n", - "plt.ylabel('Уровень образования родителей')\n", - "plt.title('Средний балл по математике в зависимости от уровня образования родителей')\n", + "plt.scatter(df['price'], df['carat'])\n", + "plt.xlabel('price')\n", + "plt.ylabel('carat')\n", + "plt.title('Scatter Plot of price vs carat')\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Сильнейший выброс был замечен при значении ≈ 17500." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Используем метод метод межквартильного размаха для удаления выбросов." + ] + }, + { + "cell_type": "code", + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Количество строк до удаления выбросов: 53943\n", + "Количество строк после удаления выбросов: 49517\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Загрузка данных\n", + "df = pd.read_csv(\".//static//csv//Diamonds Prices2022.csv\")\n", + "\n", + "# Выбор столбцов для анализа\n", + "column1 = 'carat'\n", + "column2 = 'price'\n", + "\n", + "\n", + "# Функция для удаления выбросов\n", + "def remove_outliers(df, column):\n", + " Q1 = df[column].quantile(0.25)\n", + " Q3 = df[column].quantile(0.75)\n", + " IQR = Q3 - Q1\n", + " lower_bound = Q1 - 1.5 * IQR\n", + " upper_bound = Q3 + 1.5 * IQR\n", + " return df[(df[column] >= lower_bound) & (df[column] <= upper_bound)]\n", + "\n", + "# Удаление выбросов для каждого столбца\n", + "df_cleaned = df.copy()\n", + "for column in [column1, column2]:\n", + " df_cleaned = remove_outliers(df_cleaned, column)\n", + "\n", + "# Построение точечной диаграммы после удаления выбросов\n", + "plt.figure(figsize=(10, 6))\n", + "plt.scatter(df_cleaned[column1], df_cleaned[column2], alpha=0.5)\n", + "plt.xlabel(column1)\n", + "plt.ylabel(column2)\n", + "plt.title(f'Scatter Plot of {column1} vs {column2} (After Removing Outliers)')\n", + "plt.show()\n", + "\n", + "# Вывод количества строк до и после удаления выбросов\n", + "print(f\"Количество строк до удаления выбросов: {len(df)}\")\n", + "print(f\"Количество строк после удаления выбросов: {len(df_cleaned)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Количество пропущенных значений в каждом столбце:\n", + "Unnamed: 0 0\n", + "carat 0\n", + "cut 0\n", + "color 0\n", + "clarity 0\n", + "depth 0\n", + "table 0\n", + "price 0\n", + "x 0\n", + "y 0\n", + "z 0\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Проверка на пропущенные значения\n", + "missing_values = df.isnull().sum()\n", + "\n", + "# Вывод результатов\n", + "print(\"Количество пропущенных значений в каждом столбце:\")\n", + "print(missing_values)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Пустые строки не обнаружены." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Создадим выборки." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Размер обучающей выборки: 32365\n", + "Размер контрольной выборки: 10789\n", + "Размер тестовой выборки: 10789\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Загрузка данных\n", + "df = pd.read_csv(\".//static//csv//Diamonds Prices2022.csv\")\n", + "\n", + "# Выбор признаков и целевой переменной\n", + "X = df.drop('price', axis=1) # Признаки (все столбцы, кроме 'Price')\n", + "y = df['price'] # Целевая переменная ('Price')\n", + "\n", + "# Разбиение данных на обучающую и оставшуюся часть (контрольную + тестовую)\n", + "X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=42)\n", + "\n", + "# Разбиение оставшейся части на контрольную и тестовую выборки\n", + "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)\n", + "\n", + "# Вывод размеров выборок\n", + "print(f\"Размер обучающей выборки: {X_train.shape[0]}\")\n", + "print(f\"Размер контрольной выборки: {X_val.shape[0]}\")\n", + "print(f\"Размер тестовой выборки: {X_test.shape[0]}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Проанализируем сбалансированность выборок" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Распределение Price в обучающей выборке:\n", + "price\n", + "327 1\n", + "334 1\n", + "336 1\n", + "337 1\n", + "338 1\n", + " ..\n", + "18791 1\n", + "18795 2\n", + "18797 1\n", + "18804 1\n", + "18806 1\n", + "Name: count, Length: 9476, dtype: int64\n", + "Процент положительных значений: 100.00%\n", + "Процент отрицательных значений: 0.00%\n", + "\n", + "Необходима аугментация данных для балансировки классов.\n", + "\n", + "Распределение Price в контрольной выборке:\n", + "price\n", + "326 2\n", + "340 1\n", + "344 1\n", + "354 1\n", + "357 1\n", + " ..\n", + "18781 1\n", + "18784 1\n", + "18791 1\n", + "18803 1\n", + "18823 1\n", + "Name: count, Length: 5389, dtype: int64\n", + "Процент положительных значений: 100.00%\n", + "Процент отрицательных значений: 0.00%\n", + "\n", + "Необходима аугментация данных для балансировки классов.\n", + "\n", + "Распределение Price в тестовой выборке:\n", + "price\n", + "335 1\n", + "336 1\n", + "337 1\n", + "351 1\n", + "353 1\n", + " ..\n", + "18766 1\n", + "18768 1\n", + "18780 1\n", + "18788 1\n", + "18818 1\n", + "Name: count, Length: 5308, dtype: int64\n", + "Процент положительных значений: 100.00%\n", + "Процент отрицательных значений: 0.00%\n", + "\n", + "Необходима аугментация данных для балансировки классов.\n", + "\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Загрузка данных\n", + "df = pd.read_csv(\".//static//csv//Diamonds Prices2022.csv\")\n", + "\n", + "# Выбор признаков и целевой переменной\n", + "X = df.drop('price', axis=1) # Признаки (все столбцы, кроме 'Price')\n", + "y = df['price'] # Целевая переменная ('Price')\n", + "\n", + "# Разбиение данных на обучающую и оставшуюся часть (контрольную + тестовую)\n", + "X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=42)\n", + "\n", + "# Разбиение оставшейся части на контрольную и тестовую выборки\n", + "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)\n", + "\n", + "# Функция для анализа распределения и вывода результатов\n", + "def analyze_distribution(data, title):\n", + " print(f\"Распределение Price в {title}:\")\n", + " distribution = data.value_counts().sort_index()\n", + " print(distribution)\n", + " total = len(data)\n", + " positive_count = (data > 0).sum()\n", + " negative_count = (data < 0).sum()\n", + " positive_percent = (positive_count / total) * 100\n", + " negative_percent = (negative_count / total) * 100\n", + " print(f\"Процент положительных значений: {positive_percent:.2f}%\")\n", + " print(f\"Процент отрицательных значений: {negative_percent:.2f}%\")\n", + " print(\"\\nНеобходима аугментация данных для балансировки классов.\\n\")\n", + "\n", + "# Анализ распределения для каждой выборки\n", + "analyze_distribution(y_train, \"обучающей выборке\")\n", + "analyze_distribution(y_val, \"контрольной выборке\")\n", + "analyze_distribution(y_test, \"тестовой выборке\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Применение методов приращения данных (аугментации)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Распределение Price в обучающей выборке после oversampling:\n", + "price\n", + "327 85\n", + "334 85\n", + "336 85\n", + "337 85\n", + "338 85\n", + " ..\n", + "18791 85\n", + "18795 85\n", + "18797 85\n", + "18804 85\n", + "18806 85\n", + "Name: count, Length: 9476, dtype: int64\n", + "Процент положительных значений: 100.00%\n", + "Процент отрицательных значений: 0.00%\n", + "Распределение Price в контрольной выборке:\n", + "price\n", + "326 2\n", + "340 1\n", + "344 1\n", + "354 1\n", + "357 1\n", + " ..\n", + "18781 1\n", + "18784 1\n", + "18791 1\n", + "18803 1\n", + "18823 1\n", + "Name: count, Length: 5389, dtype: int64\n", + "Процент положительных значений: 100.00%\n", + "Процент отрицательных значений: 0.00%\n", + "Распределение Price в тестовой выборке:\n", + "price\n", + "335 1\n", + "336 1\n", + "337 1\n", + "351 1\n", + "353 1\n", + " ..\n", + "18766 1\n", + "18768 1\n", + "18780 1\n", + "18788 1\n", + "18818 1\n", + "Name: count, Length: 5308, dtype: int64\n", + "Процент положительных значений: 100.00%\n", + "Процент отрицательных значений: 0.00%\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "from imblearn.over_sampling import RandomOverSampler\n", + "\n", + "# Загрузка данных\n", + "df = pd.read_csv(\".//static//csv//Diamonds Prices2022.csv\")\n", + "\n", + "# Выбор признаков и целевой переменной\n", + "X = df.drop('price', axis=1) # Признаки (все столбцы, кроме 'Price')\n", + "y = df['price'] # Целевая переменная ('Price')\n", + "\n", + "# Разбиение данных на обучающую и оставшуюся часть (контрольную + тестовую)\n", + "X_train, X_temp, y_train, y_temp = train_test_split(X, y, test_size=0.4, random_state=42)\n", + "\n", + "# Разбиение оставшейся части на контрольную и тестовую выборки\n", + "X_val, X_test, y_val, y_test = train_test_split(X_temp, y_temp, test_size=0.5, random_state=42)\n", + "\n", + "# Применение oversampling к обучающей выборке\n", + "oversampler = RandomOverSampler(random_state=42)\n", + "X_train_resampled, y_train_resampled = oversampler.fit_resample(X_train, y_train)\n", + "\n", + "# Функция для анализа распределения и вывода результатов\n", + "def analyze_distribution(data, title):\n", + " print(f\"Распределение Price в {title}:\")\n", + " distribution = data.value_counts().sort_index()\n", + " print(distribution)\n", + " total = len(data)\n", + " positive_count = (data > 0).sum()\n", + " negative_count = (data < 0).sum()\n", + " positive_percent = (positive_count / total) * 100\n", + " negative_percent = (negative_count / total) * 100\n", + " print(f\"Процент положительных значений: {positive_percent:.2f}%\")\n", + " print(f\"Процент отрицательных значений: {negative_percent:.2f}%\")\n", + "\n", + "# Анализ распределения для каждой выборки\n", + "analyze_distribution(y_train_resampled, \"обучающей выборке после oversampling\")\n", + "analyze_distribution(y_val, \"контрольной выборке\")\n", + "analyze_distribution(y_test, \"тестовой выборке\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Выгрузка в датафрейм третьего набора (Заработная плата рабочих мест в области Data Science)\n", + "\t\n", + "https://www.kaggle.com/datasets/henryshan/2023-data-scientists-salary" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Для проведения этого анализа был использован набор данных, содержащий релевантную информацию о Data Scientists. Набор данных включает в себя следующие переменные:\n", + "\n", + "work_year:Год выплаты зарплаты.\n", + "\n", + "experience_level: Уровень опыта работы в течение года.\n", + "\n", + "EN > Начальный уровень / Юниор\n", + "MI> Средний уровень / Средний\n", + "SE > Старший уровень / Эксперт\n", + "EX > Исполнительный уровень / Директор\n", + "employment_type: Тип занятости для должности.\n", + "\n", + "PT > Частичная занятость\n", + "FT > Полный рабочий день\n", + "CT > Договор\n", + "FL > Фриланс\n", + "job_title: На эту должность я работал в течение года.\n", + "\n", + "salary: Общая сумма выплаченной заработной платы брутто.\n", + "\n", + "salary_currency: Валюта выплачиваемой заработной платы в виде кода валюты ISO 4217.\n", + "\n", + "salaryinusd: Заработная плата в долларах США.\n", + "\n", + "employee_residence: Основная страна проживания сотрудника в течение рабочего года в виде кода страны по стандарту ISO 3166.\n", + "\n", + "remote_ratio:Общий объем работы, выполненной удаленно.\n", + "\n", + "company_location: Страна местонахождения главного офиса работодателя или филиала по договору.\n", + "\n", + "company_size: Среднее количество людей, которые работали в компании в течение года.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Проблемная область: Данные о зарплатах рабочих мет Data Science\n", + "\n", + "\n", + "Объект наблюдения: зарплаты\n", + "\n", + "\n", + "Пример бизнес-цели:\n", + "\n", + "1. Оптимизация процесса найма\n", + "Цель: Уменьшить время и затраты на рекрутинг, привлекая кандидатов с адекватными ожиданиями по зарплате.\n", + "Применение: Использовать данные о заработной плате для определения конкурентоспособных предложений о работе, что позволит привлекать высококвалифицированные таланты без чрезмерных затрат.\n", + "\n", + "2. Систематизация карьерного роста\n", + "\n", + "Цель: Разработка структурированных карьерных треков и программ повышения квалификации.\n", + "Применение: Анализируя данные о зарплатах на разных уровнях должностей, создать систему повышений и соответствующих компенсаций, мотивируя сотрудников для роста внутри компании.\n", + "\n", + "3. Планирование бюджета и прогнозирование кадровых расходов\n", + "Цель: Более точное планирование бюджетов на оплату труда в отделах Data Science.\n", + "Применение: Использовать анализ рынка для прогнозирования будущих расходов на зарплату, что позволит компании закладывать соответствующие суммы в бюджет.\n", + "\n", + "\n", + "Актуальность датасета о заработной плате в области Data Science играет ключевую роль для бизнеса и специалистов по работе с данными. Рассмотрим несколько аспектов, подчеркивающих его значимость.\n", + "\n", + "1. Актуальные рыночные тренды\n", + "Изменения в спросе и предложении: Данные о зарплатах могут отражать текущие тенденции на рынке труда, такие как повышение спроса на определённые навыки. Это особенно важно в такой динамичной области, как Data Science, где технологии и инструменты быстро развиваются.\n", + "Географические различия: Заработные платы могут варьироваться в зависимости от региона (например, наличие IT-центров в крупных городах). Датасет позволяет анализировать, какие регионы предлагают лучшие условия для специалистов.\n", + "\n", + "2. Оценка конкурентоспособности\n", + "Сравнение с конкурентами: Знание о текущих зарплатах позволяет компаниям позиционировать себя на рынке труда. Это поможет избежать проблем с удержанием талантов и привлечением новых сотрудников.\n", + "Формирование предложений: Данная информация поможет создать программные предложения о работе, которые будут привлекательными для нужной аудитории.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "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": [ + "df3 = pd.read_csv(\".//static//csv//ds_salaries.csv\")\n", + "\n", + "print(df3.columns)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Атрибуты: \n", + "work_year - Год работы\n", + "experience_level - Уровень опыта\n", + "employment_type - Тип занятости\n", + "job_title - Должность\n", + "salary - Зарплата\n", + "salary_currency - Валюта зарплаты\n", + "salary_in_usd - Зарплата в долларах США\n", + "employee_residence - Местонахождение сотрудника\n", + "remote_ratio - Доля удаленной работы\n", + "company_location - Местоположение компании\n", + "company_size - Размер компании" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Проверка на выбросы." + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Количество выбросов в столбце 'work_year': 76\n", + "Количество выбросов в столбце 'salary': 113\n", + "Количество выбросов в столбце 'salary_in_usd': 63\n" + ] + }, + { + "data": { + "image/png": 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1116LDh06RMSvd6gvW7YsHnzwwZg5c2YceOCB66xl+fLlMWXKlCLVUqNGjXjppZeifPnycfDBB6/1Ladrc8opp8Tnn38e77zzTjz44IPRunXrQr+MFXzwUq1ataJLly6rfXXq1CkiIubMmRMvv/xyXHrppXHllVfGUUcdFV27di101w4AABvPHH/zzfEjIurWrRt9+/aNJ598MqZMmRLVq1ePa6+9NiIiPvzww/j888/j5ptvjksuuSSOOOKI6NKlS9SrV2+d/T7zzDOxbNmyePrpp6NPnz7Ro0eP6NKlS5FvLClbtmyceOKJ8eijj8acOXPiySefjF69em3QB8MCFAchOlCirFixIl544YXIzs7OvJWzR48ekZeXF7fddluhtrfccktkZWVF9+7dM9v27t076tWrF0OGDInhw4fHzJkz44ILLths9datWzdatWoV9913X8ydOzez/KOPPooXXnghevTokVlWMNFeuV2afffdN2rVqhV33nlnLFu2LLN81KhRMXny5OjZs+cG19yhQ4d46623YvTo0ZkQveBtrTfccEOmTYEuXbpEdnZ2/OMf/8g8wzAi4l//+lfMmzevyLXUr18/XnrppViyZEl07do1fvrppyIfQ/fu3aNGjRpxww03xKuvvlroLvSIX+90ycnJieuuuy5WrFix2vY//vhjRERm0r7ycUVE/P3vfy9yTQAArJk5/q82xxw/Ly9vtT8o1KpVK+rVq5fZx5rmvEmSxJAhQ9bZ/5q2nTdvXgwbNqzItZ588skxZ86c6NOnTyxcuHC1OTxASeZxLkCxGjVqVOZuk1mzZsV//vOf+OKLL+LSSy/NPLf6sMMOi86dO8eAAQNi6tSp0bJly3jhhRfiqaeeiv79+2fuOr7mmmti4sSJ8fLLL0fVqlWjRYsWMXDgwLjiiivi2GOPLTTZ3ZRuvPHG6N69e7Rt2zbOOOOMWLJkSdx6661RrVq1GDx4cKbdPvvsExERAwYMiN/97ndRvnz5OOyww9b4LMXy5cvHDTfcEKeddlp07NgxevXqFTNnzowhQ4ZEo0aNNuqXhg4dOsS1114b3377baGw/MADD4y77rorGjVqFPXr188sr1mzZlx22WVx5ZVXxm9/+9s4/PDD47PPPovbb7892rRps0GT31133TVeeOGF6NSpU3Tr1i1eeeWVQs8pX5fy5cvH7373u7jtttuibNmy0atXr0Lrc3Jy4o477oiTTz459t577/jd734XNWvWjGnTpsXIkSOjffv2cdttt0VOTk4ceOCB8de//jVWrFgRO+64Y7zwwgsxZcqUIh8TAAC/MsffcnP8BQsWRP369ePYY4+Nli1bRpUqVeKll16Kd955J26++eaI+PV567vssktcdNFF8f3330dOTk489thjqz0bfU0OOeSQyM7OjsMOOywTfv/zn/+MWrVqxQ8//FCkWlu3bh177rlnjBgxIvbYY4/Ye++9i3y8AMUmASgGw4YNSyKi0FfFihWTVq1aJXfccUeSn59fqP2CBQuSCy64IKlXr15Svnz5ZLfddktuvPHGTLv33nsvKVeuXPKHP/yh0Ha//PJL0qZNm6RevXrJnDlzUusZPXp0EhHJiBEj1lr3lClTkohIhg0bVmj5Sy+9lLRv3z6pVKlSkpOTkxx22GHJJ598str2V199dbLjjjsmZcqUSSIimTJlylr398gjjyStW7dOKlSokOywww7J73//++S7774r1KbgXL7zzjtr7avA/Pnzk7JlyyZVq1ZNfvnll8zyBx54IImI5OSTT17jdrfddlvStGnTpHz58knt2rWTc889d7Vz2rFjx6R58+Zr3L5hw4ZJz549Cy176623kqpVqyYHHnhgsnjx4vWqv8Dbb7+dRERyyCGHpLYZPXp00q1bt6RatWpJxYoVk1122SXp3bt38u6772bafPfdd8lRRx2V5ObmJtWqVUuOO+64ZPr06UlEJIMGDcq0GzRoUBIRyY8//likOgEAthXm+Ft+jr9s2bLk4osvTlq2bJlUrVo1qVy5ctKyZcvk9ttvL9Tuk08+Sbp06ZJUqVIlqVGjRnLWWWclH3zwwWrHXTDnXdnTTz+dtGjRIqlYsWLSqFGj5IYbbkjuvffe1Y51TfP9Vf31r39NIiK57rrr1toOoKTJSpJV3sMOAKXABx98EK1atYp///vfcfLJJxd3OQAAwDoMGTIkLrjggpg6dWrstNNOxV0OwHoTogNQKvXr1y/uu+++mDFjxhrfLgsAAJQcSZJEy5Yto3r16jF69OjiLgegSDwTHYAS4eeff47ly5enri9btmzUrFkznnnmmfjkk0/i7rvvjn79+gnQAQCgBFu0aFE8/fTTMXr06Pjwww/jqaeeKu6SAIrMnegAlAidOnWKV199NXV9w4YNY+rUqdGoUaOYOXNmdOvWLe6///6oWrXqFqwSAAAoiqlTp0bjxo0jNzc3+vbtG9dee21xlwRQZEJ0AEqE9957L+bMmZO6vlKlStG+ffstWBEAAACAEB0AAAAAAFKVKe4CAAAAAACgpNrgDxbNz8+P6dOnR9WqVSMrK2tT1gQAAFutJEliwYIFUa9evShTZuPvaTEvBwCADbO+c/MNDtGnT58eDRo02NDNAQBgm/btt99G/fr1N7of83IAANg465qbb3CIXrVq1cwOcnJyNrQbAADYpsyfPz8aNGiQmU9vLPNyAADYMOs7N9/gEL3graI5OTkm6wAAUESb6tEr5uUAALBx1jU398GiAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAApyhV3AQDA/5k5c2bMmzevuMuArV61atWidu3axV3GVqng55hzDADA1kKIDgAlxKeffhp9+54X+fl5xV0KbPXKZ1eIB+7/t5B3E5s5c2b8/qST45cVy6Nc+ex48IH7nWMAAEo9IToAlBDffvtt5OfnxdId9468avWLuxzYapVZOi/i61dj3rx5At5NbN68efHLiuUREfHLiuXOMQAAWwUhOgCUMEl2lcivXKO4ywAAAADCB4sCAAAAAEAqIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKID67R06dL4/PPPY+nSpcVdCgBsvPxfIiJi2bJlxVzI1qNgrrCmc2oeAQBAaSdEB9Zp2rRpcfbZZ8e0adOKuxQA2Ghlli2MiIgZM2YUcyVbj4K5wprOqXkEAAClnRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIEW54i5gQ11++eUxbty4zPft2rWL6667rhgrAgAAVjZp0qS47bbbIiLi7LPPziyvUqVKHHPMMdGsWbOYNGlSzJw5M5IkiaysrKhZs2bk5uZGlSpV4vXXX49p06bF4sWLo06dOtGoUaOYMWNGzJo1K/Lz82Px4sWxZMmSqFixYuy4446x6667RkTEokWLYtasWVGzZs2oUqVKlC1bNnbcccc44ogjIjs7O/Ly8mLSpEnx888/R25ubuTn58ekSZMiImLPPfeMqVOnxvTp02P27NlRvXr1aNCgQWbbiCi0/Q477BC77bZb3HPPPfHdd99F/fr1o0+fPlGpUqWNPn/Lly+Pp556KqZPnx716tWLQw89ND799NPMflu0aBF5eXmF2qxc58oKap49e3bMnTs3cnNzo0aNGtGiRYsoW7bsRte66jlZn37Xtc2qx592bBu6/811XKVBUc4tAGwOpe0aWypD9E6dOq22bNy4cdGpU6cYM2bMFq8HAABYXUGAvqqFCxfGfffdV6S+5syZE5MnT17juuXLl8f8+fNT1xe4884744ADDoivvvoqZsyYUaT933nnnXHcccdFs2bN4vbbb0/d/t13340nn3wy2rdvH9dee22R9rHq/kaMGBF5eXmZZUOHDi3UZrvttoulS5dGfn7+anWec845mWVjx45NrblOnTrRt2/fOPDAAze41jX1v65+17XNmo5/Tce2ofvfXMdVGhTl3ALA5lAar7Gl7nEuawrQi7IeAAAoecqXL7/Z91GuXLl44403okyZMnHWWWdllletWjXz76ysrMy/W7ZsGdWqVcts+/DDD8fAgQNj5513jqFDh8YBBxxQaJs//vGPceKJJ0b58uXjjTfeiAEDBmxQnXfeeWc8/PDDkZOTExdddFFcfPHFEfF/5+iYY46JLl26xOLFiyM/Pz8OP/zweOyxx+Kiiy6KnJycePjhh+POO++MiF9/SR00aFDmOPbff/+46KKLYv/994+srKyoVq1aDBo0KMaOHbtBtRb0X3BOnn322Rg6dGjsvPPOqf2ua5sBAwYUOv60Y9vQ/W+u4yoNVv2/tbZzCwCbQ2m9xpaqEP3yyy/P/PuYY46JMWPGZL6OOeaYNbYDAACKX8WKFeOmm25KXb/DDjtETk7OasvLlNm4X1n222+/TB/Lly+P8uXLx8yZM+Opp56KChUqRNu2beORRx6JiF/D8KysrChfvnxkZ2fHzJkz47///W9sv/32sWLFikxYXhCkv/nmm1G+fPkYNWpUtGvXLv773//GGWecESNHjswE6UuWLClSvcuXL48RI0bE9ttvHyNGjIju3bvH/fffH+3atYuRI0fG9ttvH0888US88sorsf3228cBBxwQ77zzTuTm5sahhx5aaNslS5bE7bffHgcccEDMnTs32rVrF9dff30ceuihcf3110fbtm1j/vz5ccABB8Qdd9xR6M7k9ZGXlxe33357tG3bNq655ppo3rx5bLfddtG8efO45pprom3btqv1u65t9t9//3jjjTcyx3DooYdG9erVVzu25cuXb9D+N9dxlQar/t9a27kFgM2hNF9j1/txLsuWLYtly5Zlvp8/f/5mKWhtVn4G+h/+8IdC6/7whz/EY489tlo7YNP55ptvirsE2Kr98MMPxV0CUAqUhHl5mrX9HDvuuOPW+pzLmTNnRsuWLeODDz4otHzlR5UURf369eO7776LBg0axNtvvx0REUmSRIcOHeKVV16JWbNmRUTESSedFCNHjsysT5IkTjjhhHjooYdixowZ8cknn8Tpp58eN998c6bvZ555Jr7//vvMcVWsWDF+//vfx3nnnReTJk2K1q1bx7HHHhsPPfRQ3HXXXdG/f//1rvupp56KvLy8OOOMM6JcuXIxYcKEmDFjRvz5z3+O7OzsQrWcccYZ0bhx40L7LVeuXKbNXXfdFTNmzIgTTjghxo8fHwMHDsz8QaFMmTKZmo8//vgYP358po/1NWnSpExtq/6xY+X+V+53XdvsuOOOERHRtWvXKFeu8K+rKx/bU089FbvuumuR97+5jqs0WPX/1spWPbfHHXdcMVUJwNasNF9j1ztEv/766+PKK6/cnLUAJdzGPNcTANg0SvK8/N57701d16JFi/j555/Xun2SJJusloJHtKz8B4eIiKZNm8Yrr7yS+b5x48bx0ksvFWrTo0ePeOihhyIi4ueff462bdsWWj99+vT47rvvMm0L+ilov3IfBe3W1/Tp0yMiMvss6K+g/5Vradu2beYDTFc+twVtCvZdsWLFQn0UKPi+QoUKq/WxPlatbVWrnpP12aZgvArC9FUVHNv06dNjhx12KPL+18eGHFdpsOr/rVWtfG4BYHMozdfY9Q7RL7vssvjTn/6U+X7+/PnRoEGDzVIUUDINGDAgGjZsWNxlwFbrzTffXGsABRBRsuflp59+eurPsUmTJsXee++91u1Xfh75xlqwYEFE/F9AXODTTz8t9P2UKVOiXr16hZY9++yzmX/vsMMOMX78+ELr69WrF0mSxLvvvhvPPvtsnH322TFlypRM+5X7qF+/fpHqLqhl/Pjxceihh2b6mzJlSjRv3rxQLePHj8/8slnQrmB5wb7ffffdWLp0aaE+Vj72iP8LrlfuY32sWtuqVj0n67NNwXgV3Om/qoJjq1ev3gbtf31srn6L26r/t1a18rkFgM2hNF9j1ztEr1ChwmoT0C2tXbt2mUe13HrrrYUe6XLrrbcWagdseg0bNozdd9+9uMuArZZHJgHroyTMy9PUrVs3dd2IESOiZcuWqetr166d+cVpZWXKlNmgR7oU3IX97bffZvrIysqK1157LcqWLRvVq1ePefPmxQMPPBB//vOfY+jQoZlnoj/66KORnZ0dO+ywQzRr1iyuuuqqKFOmTOZxL4cddlgkSRJPPvlkjBgxIk455ZR48MEHo27dutGiRYtYvnx5PProoxER0adPnyLVfcQRR8Sdd94Z//rXv+K3v/1ttGjRIurUqRMPPvhgDB48OO69997M25//9a9/RZMmTTL7jYj45Zdf4t57742yZctGnz594s0334y33347ateuHQ8++GBcc801mfNRUPPbb79dqI/1tXJtBf0WWLn/lftd1zYF4fmLL74YZ599dqHHjqx8bEcccUSULVu2yPvfXMdVGqz6f2tt5xYANofSfI0tVR8set1112X+/dhjj0WnTp0yXwXPQ1+1HQAAUPyWLl0aF110Uer6n3/+eY3Pd9/QZ6IXePvttzN9ZGdnx4oVK6J27dpx+OGHx7Jly2L8+PFxwgknRMT/PRN9xYoVsXz58qhVq1Ycf/zxMWfOnChfvnzmcTNXXXVVfP3113HAAQfEihUronv37jFu3Lg47rjj4p577omePXvGihUron379pnHrayv7OzsOO6442LOnDlx3HHHxbPPPhsnnXRSjBs3Lnr27Blz5syJo446Kjp37hxz5syJN998M9q0aRNz5syJZ555ptC2lSpVir59+8abb74Zubm5MW7cuLjsssvimWeeicsuuyzGjx8fOTk58eabb8a555671mfWr0nZsmWjb9++MX78+Ljiiivi448/jsWLF8fHH38cV1xxRYwfP361fte1zVtvvRXt27fPHMMzzzwTs2fPXu3YsrOzN2j/m+u4SoNV/2+t7dwCwOZQmq+xWckGPnhw/vz5Ua1atZg3b17k5ORs6rrWqlOnTqnrxowZs8XqgG3F559/HmeffXbcfffd7kSHzejFF1+Ma6+9NpY0PjB+qbFrcZcDW61ys7+MSlPGxoABA6Jr165bfP+beh5dnPPyAgVzhQEDBpToz1ApW7ZsHHDAAfHVV1/FjBkzirztcccdF82aNYvbb799ndu3b99+o87FnXfeGSNGjIi8vLzUNpUrV44lS5YU+kNDQZ3nnHNOZtnYsWNTa65bt26ce+65ceCBB25wrWvqf139rmubNR3/mo5tQ/e/uY6rNCjKuQWAzaEkXWPXdy5dKkP0iIjLL78882iXiF8f4eIOdNg8hOiwZQjRYcsQom96aSF6v3794rbbblutfZUqVeKYY46JZs2axaRJk2LmzJmRJElkZWVFzZo1Izc3N6pUqRKvv/56TJs2LRYvXhx16tSJRo0axYwZM2LWrFmRn58fixcvjiVLlkTFihVjxx13jF13/fVn56JFi2LWrFlRs2bNqFKlSpQtWzZ23HHHOOKIIyI7Ozvy8vJi0qRJ8fPPP0dubm7k5+fHpEmTIiJizz33jKlTp8b06dNj9uzZUb169WjQoEFm24gotP0OO+wQu+22W9xzzz3x3XffRf369aNPnz5FvgN9TZYvXx5PPfVUTJ8+PerVqxeHHnpofPrpp5n9tmjRIvLy8gq1WbnOlRXUPHv27Jg7d27k5uZGjRo1okWLFpvkbq9Vz8n69LuubVY9/rRj29D9b67jKg2Kcm4BYHMoKdfY9Z1Lr/cz0UsagTkAAJRsLVq0iLvvvnutf4zff//9U7fv2bPnZqmrbNmy0bp160LL2rRps141pW3fv3//TVZfgYLHb6xs1f0W3EG8LmuqeVPakP7Xtc2ajn9T7r84+y1uRTm3ALA5lLZrbKl6JjoAAAAAAGxJQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFOWKuwCg5Ntpp53i7rvvjp122qm4SwGAjZZfoUpERNSpU6eYK9l6FMwVli1blrrOPAIAgNLKnejAOlWsWDF23333qFixYnGXAgAbr8yv95FUqFChmAvZehTMFdZ0Ts0jAAAo7YToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKYToAAAAAACQQogOAAAAAAAphOgAAAAAAJBCiA4AAAAAACmE6AAAAAAAkEKIDgAAAAAAKcoVdwEAQGFZyxdGmUWzi7sM2GqVWTqvuEsAAABKESE6AJQQDRo0iDJlykbF79+P+P794i4HtmrlsytEtWrViruMrU61atWiXPns+GXF8ihXPts5BgBgqyBEB4ASomnTpvHQQ/+JefPcJQubW7Vq1aJ27drFXcZWp3bt2vHgA/fHvHnznGMAALYaQnQAKEFq164tdAJKNT/HAADY2vhgUQAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASFFuQzdMkiQiIubPn7/JigEAgK1dwfy5YD69sczLAQBgw6zv3HyDQ/QFCxZERESDBg02tAsAANhmLViwIKpVq7ZJ+okwLwcAgA21rrl5VrKBt8Dk5+fH9OnTo2rVqpGVlbXBBW6M+fPnR4MGDeLbb7+NnJycYqmBojFmpZNxK32MWelk3EofY1Y6Ffe4JUkSCxYsiHr16kWZMhv/dEXzcorKeJUuxqt0MV6li/EqXYxX6VMaxmx95+YbfCd6mTJlon79+hu6+SaVk5NTYgeCNTNmpZNxK32MWelk3EofY1Y6Fee4bYo70AuYl7OhjFfpYrxKF+NVuhiv0sV4lT4lfczWZ27ug0UBAAAAACCFEB0AAAAAAFKU6hC9QoUKMWjQoKhQoUJxl8J6Mmalk3ErfYxZ6WTcSh9jVjoZt03POS1djFfpYrxKF+NVuhiv0sV4lT5b05ht8AeLAgAAAADA1q5U34kOAAAAAACbkxAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFJskRD9+uuvjzZt2kTVqlWjVq1aceSRR8Znn31WqM3SpUvjvPPOi+rVq0eVKlXimGOOiZkzZ2bWf/DBB9GrV69o0KBBVKpUKfbYY48YMmTIavsaM2ZM7L333lGhQoXYddddY/jw4eusb9KkSdGhQ4eoWLFiNGjQIP76179u9DGXdiV5zKZOnRpZWVmrfb355pub5NhLsy01bj/88EOceOKJsfvuu0eZMmWif//+61XftGnTomfPnrHddttFrVq14uKLL45ffvllo4+7NCvpY7am19rDDz+80cdd2m2pcXv88ceja9euUbNmzcjJyYm2bdvG888/v876XNdWV5LHzHUt3ZYat9dffz3at28f1atXj0qVKkXTpk3jlltuWWd929prbejQodGoUaOoWLFi7L///vH222+vtf2IESOiadOmUbFixdhrr73i2Wef3UKVElG08Ro+fPhqP4MqVqy4Bavdto0dOzYOO+ywqFevXmRlZcWTTz65zm025PdeNo2ijteYMWPWeJ2fMWPGlil4G7Y+84g1cf0qPhsyZq5hxeeOO+6IFi1aRE5OTuZ3n1GjRq11m9L8+toiIfqrr74a5513Xrz55pvx4osvxooVK+KQQw6JRYsWZdpccMEF8cwzz8SIESPi1VdfjenTp8fRRx+dWf/ee+9FrVq14oEHHoiPP/44BgwYEJdddlncdtttmTZTpkyJnj17RufOnWPixInRv3//OPPMM9f6y+v8+fPjkEMOiYYNG8Z7770XN954YwwePDjuvvvuzXMySomSPGYFXnrppfjhhx8yX/vss8+mPQml0JYat2XLlkXNmjXjiiuuiJYtW65XbXl5edGzZ89Yvnx5jBs3Lu67774YPnx4DBw4cNOdgFKoJI9ZgWHDhhV6rR155JEbfdyl3ZYat7Fjx0bXrl3j2Wefjffeey86d+4chx12WEyYMCG1Nte1NSvJY1bAdW11W2rcKleuHP369YuxY8fG5MmT44orrogrrrhira+bbe219sgjj8Sf/vSnGDRoULz//vvRsmXL6NatW8yaNWuN7ceNGxe9evWKM844IyZMmBBHHnlkHHnkkfHRRx9t4cq3TUUdr4iInJycQj+Dvvnmmy1Y8bZt0aJF0bJlyxg6dOh6td+Y36HYeEUdrwKfffZZoddYrVq1NlOFFFifecSqXL+K14aMWYRrWHGpX79+/OUvf4n33nsv3n333TjooIPiiCOOiI8//niN7Uv96yspBrNmzUoiInn11VeTJEmSuXPnJuXLl09GjBiRaTN58uQkIpLx48en9tO3b9+kc+fOme//3//7f0nz5s0LtTnhhBOSbt26pfZx++23J9tvv32ybNmyzLJLLrkkadKkSZGPa2tWksZsypQpSUQkEyZM2MCj2XZsrnFbWceOHZM//vGP66zl2WefTcqUKZPMmDEjs+yOO+5IcnJyCr3+tnUlacySJEkiInniiSfWu/5t1ZYYtwLNmjVLrrzyytT1rmvrpySNmeva+tuS43bUUUclJ510Uur6be21tt9++yXnnXde5vu8vLykXr16yfXXX7/G9scff3zSs2fPQsv233//pE+fPpu1Tn5V1PEaNmxYUq1atS1UHWuzPnOvDfkdis1jfcZr9OjRSUQkc+bM2SI1kW7VecSauH6VLOszZq5hJcv222+f3HPPPWtcV9pfX8XyTPR58+ZFRMQOO+wQEb/eIbRixYro0qVLpk3Tpk1jp512ivHjx6+1n4I+IiLGjx9fqI+IiG7duq21j/Hjx8eBBx4Y2dnZhbb57LPPYs6cOUU7sK1YSRqzAocffnjUqlUrfvOb38TTTz9dpOPZVmyucdsQ48ePj7322itq166dWdatW7eYP39+6l8pt0UlacwKnHfeeVGjRo3Yb7/94t57740kSTZJv1uTLTVu+fn5sWDBgrW2cV1bPyVpzAq4rq3blhq3CRMmxLhx46Jjx46pbbal19ry5cvjvffeK3Sey5QpE126dEk9zxszx2PjbMh4RUQsXLgwGjZsGA0aNFjrXWQUP6+v0qlVq1ZRt27d6Nq1a7zxxhvFXc42adV5xJp4fZUs6zNmEa5hJUFeXl48/PDDsWjRomjbtu0a25T211e5Lb3D/Pz86N+/f7Rv3z723HPPiIiYMWNGZGdnR25ubqG2tWvXTn1O2Lhx4+KRRx6JkSNHZpbNmDGjUEBX0Mf8+fNjyZIlUalSpdX6mTFjRjRu3Hi1bQrWbb/99kU+xq1NSRuzKlWqxM033xzt27ePMmXKxGOPPRZHHnlkPPnkk3H44Ydv5NFuPTbnuG2ItLEuWEfJG7OIiKuuuioOOuig2G677eKFF16Ivn37xsKFC+P888/f6L63Flty3G666aZYuHBhHH/88altXNfWraSNmeva+tkS41a/fv348ccf45dffonBgwfHmWeemVrPtvRamz17duTl5a3xOv7pp5+ucZu0675r/ua3IePVpEmTuPfee6NFixYxb968uOmmm6Jdu3bx8ccfR/369bdE2RTBhvwORfGpW7du3HnnnbHvvvvGsmXL4p577olOnTrFW2+9FXvvvXdxl7fNWNM8Yk1cv0qO9R0z17Di9eGHH0bbtm1j6dKlUaVKlXjiiSeiWbNma2xb2l9fWzxEP++88+Kjjz6K119/fYP7+Oijj+KII46IQYMGxSGHHLIJq2NNStqY1ahRI/70pz9lvm/Tpk1Mnz49brzxRmHDSkrauLFuJXHM/vznP2f+3bp161i0aFHceOONQvSVbKlx+89//hNXXnllPPXUU56huZFK2pi5rq2fLTFur732WixcuDDefPPNuPTSS2PXXXeNXr16bUzZUCq0bdu20F1j7dq1iz322CPuuuuuuPrqq4uxMij9mjRpEk2aNMl8365du/jqq6/illtuifvvv78YK9u2bIp5BFvW+o6Za1jxatKkSUycODHmzZsXjz76aJx66qnx6quvpgbppdkWfZxLv3794n//+1+MHj260F+D6tSpE8uXL4+5c+cWaj9z5syoU6dOoWWffPJJHHzwwXH22WfHFVdcUWhdnTp1YubMmav1kZOTk/rX+LRtCtZt60rimK3J/vvvH19++eV6t9/abe5x2xBea2tXEsdsTfbff//47rvvYtmyZZul/9JmS43bww8/HGeeeWb897//Xe3tb6vyWlu7kjhma+K6VtiWGrfGjRvHXnvtFWeddVZccMEFMXjw4NSatqXXWo0aNaJs2bJrPN60Y007P1vbuSmJNmS8VlW+fPlo3bq1n0Ml1Kb6HYris99++3l9bUFp84g1cf0qGYoyZqtyDduysrOzY9ddd4199tknrr/++mjZsmUMGTJkjW1L++tri4ToSZJEv3794oknnohXXnlltbe+7rPPPlG+fPl4+eWXM8s+++yzmDZtWqG/Jn388cfRuXPnOPXUU+Paa69dbT9t27Yt1EdExIsvvpj6LJ6CbcaOHRsrVqwotE2TJk22qrfhFlVJHrM1mThxYtStW7dI22yNttS4bYi2bdvGhx9+GLNmzcose/HFFyMnJ2er/Avl+irJY7YmEydOjO233z4qVKiw2fZRGmzJcXvooYfitNNOi4ceeih69uy5ztpc19asJI/Zmriu/ao4f0bm5+ev9Q+G29JrLTs7O/bZZ59C5zk/Pz9efvnl1DnbpprjUXQbMl6rysvLiw8//NDPoRLK66v0c53fMtY1j1gTr6/itSFjtirXsOK1tjl0qX99bYlPLz333HOTatWqJWPGjEl++OGHzNfixYszbc4555xkp512Sl555ZXk3XffTdq2bZu0bds2s/7DDz9MatasmZx00kmF+pg1a1amzddff51st912ycUXX5xMnjw5GTp0aFK2bNnkueeey7S59dZbk4MOOijz/dy5c5PatWsnJ598cvLRRx8lDz/8cLLddtsld91112Y+KyVbSR6z4cOHJ//5z3+SyZMnJ5MnT06uvfbapEyZMsm99967mc9Kybelxi1JkmTChAnJhAkTkn322Sc58cQTkwkTJiQff/xxZv3jjz+eNGnSJPP9L7/8kuy5557JIYcckkycODF57rnnkpo1ayaXXXbZZjwjJV9JHrOnn346+ec//5l8+OGHyRdffJHcfvvtyXbbbZcMHDhwM56R0mFLjduDDz6YlCtXLhk6dGihNnPnzs20cV1bPyV5zFzX0m2pcbvtttuSp59+Ovn888+Tzz//PLnnnnuSqlWrJgMGDMi02dZfaw8//HBSoUKFZPjw4cknn3ySnH322Ulubm4yY8aMJEmS5OSTT04uvfTSTPs33ngjKVeuXHLTTTclkydPTgYNGpSUL18++fDDD4vrELYpRR2vK6+8Mnn++eeTr776KnnvvfeS3/3ud0nFihULzRPYfBYsWJCZp0VE8re//S2ZMGFC8s033yRJkiSXXnppcvLJJ2far8/vUGw+RR2vW265JXnyySeTL774Ivnwww+TP/7xj0mZMmWSl156qbgOYZuxPvMI16+SZUPGzDWs+Fx66aXJq6++mkyZMiWZNGlScumllyZZWVnJCy+8kCTJ1vf62iIhekSs8WvYsGGZNkuWLEn69u2bbL/99sl2222XHHXUUckPP/yQWT9o0KA19tGwYcNC+xo9enTSqlWrJDs7O9l5550L7aOgn1W3+eCDD5Lf/OY3SYUKFZIdd9wx+ctf/rKJz0DpU5LHbPjw4ckee+yRbLfddklOTk6y3377JSNGjNgMZ6H02ZLjtq42w4YNS1b9O93UqVOT7t27J5UqVUpq1KiRXHjhhcmKFSs2x6koNUrymI0aNSpp1apVUqVKlaRy5cpJy5YtkzvvvDPJy8vbXKej1NhS49axY8c1tjn11FML9eO6tm4lecxc19JtqXH7xz/+kTRv3jwzBq1bt05uv/32Qj/vvNZ+/UPCTjvtlGRnZyf77bdf8uabb2bWdezYsdD/8yRJkv/+97/J7rvvnmRnZyfNmzdPRo4cuYUr3rYVZbz69++faVu7du2kR48eyfvvv18MVW+bRo8evdZrx6mnnpp07NhxtW3W9jsUm09Rx+uGG25Idtlll6RixYrJDjvskHTq1Cl55ZVXiqf4bcz6zCNcv0qWDRkz17Dic/rppycNGzZMsrOzk5o1ayYHH3xwJkBPkq3v9ZWVJEkSAAAAAADAarboB4sCAAAAAEBpIkQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAA2ESysrLiySefLO4yALYKY8eOjcMOOyzq1au3QT9fBw8eHFlZWat9Va5cuUj9CNEBSpmpU6dGVlZWTJw4sbhLAQAAANhsFi1aFC1btoyhQ4du0PYXXXRR/PDDD4W+mjVrFscdd1yR+hGiAwAAAJQQy5cvL+4SAEqM7t27xzXXXBNHHXXUGtcvW7YsLrroothxxx2jcuXKsf/++8eYMWMy66tUqRJ16tTJfM2cOTM++eSTOOOMM4pUhxAdoBQprRPq0lo3AADbpkcffTT22muvqFSpUlSvXj26dOkSixYtinfeeSe6du0aNWrUiGrVqkXHjh3j/fffX2tfl1xySey+++6x3Xbbxc477xx//vOfY8WKFZn1gwcPjlatWsU999wTjRs3jooVK8a///3vqF69eixbtqxQX0ceeWScfPLJm+WYAUqjfv36xfjx4+Phhx+OSZMmxXHHHRe//e1v44svvlhj+3vuuSd233336NChQ5H2I0QH2IT+97//RW5ubuTl5UVExMSJEyMrKysuvfTSTJszzzwzTjrppIiIeOyxx6J58+ZRoUKFaNSoUdx8882F+mvUqFFcffXVccopp0ROTk6cffbZq+0zLy8vTj/99GjatGlMmzZtrfWdfvrpceihhxZatmLFiqhVq1b861//ioiI/Pz8uP7666Nx48ZRqVKlaNmyZTz66KOF9nfGGWdk1jdp0iSGDBlSqM/evXvHkUceGddee23Uq1cvmjRpsq5TBwAAJcIPP/wQvXr1itNPPz0mT54cY8aMiaOPPjqSJIkFCxbEqaeeGq+//nq8+eabsdtuu0WPHj1iwYIFqf1VrVo1hg8fHp988kkMGTIk/vnPf8Ytt9xSqM2XX34Zjz32WDz++OMxceLEOO644yIvLy+efvrpTJtZs2bFyJEj4/TTT99sxw5QmkybNi2GDRsWI0aMiA4dOsQuu+wSF110UfzmN7+JYcOGrdZ+6dKl8eCDDxb5LvSIiHKbomAAftWhQ4dYsGBBTJgwIfbdd9949dVXo0aNGoXeSvTqq6/GJZdcEu+9914cf/zxMXjw4DjhhBNi3Lhx0bdv36hevXr07t070/6mm26KgQMHxqBBg1bb37Jly6JXr14xderUeO2116JmzZprre/MM8+MAw88MH744YeoW7duRPwa/C9evDhOOOGEiIi4/vrr44EHHog777wzdttttxg7dmycdNJJUbNmzejYsWPk5+dH/fr1Y8SIEVG9evUYN25cnH322VG3bt04/vjjM/t6+eWXIycnJ1588cWNOKMAALBl/fDDD/HLL7/E0UcfHQ0bNoyIiL322isiIg466KBCbe++++7Izc2NV199dbWbVQpcccUVmX83atQoLrroonj44Yfj//2//5dZvnz58vj3v/9daD5/4oknxrBhwzLP7X3ggQdip512ik6dOm2S4wQo7T788MPIy8uL3XffvdDyZcuWRfXq1Vdr/8QTT2T+GFpUQnSATahatWrRqlWrGDNmTOy7774xZsyYuOCCC+LKK6+MhQsXxrx58+LLL7+Mjh07xuDBg+Pggw+OP//5zxERsfvuu8cnn3wSN954Y6EQ/aCDDooLL7ww8/3UqVMjImLhwoXRs2fPWLZsWYwePTqqVau2zvratWsXTZo0ifvvvz8zaS+YmFepUiWWLVsW1113Xbz00kvRtm3biIjYeeed4/XXX4+77rorOnbsGOXLl48rr7wy02fjxo1j/Pjx8d///rdQiF65cuW45557Ijs7e4PPJwAAbGktW7aMgw8+OPbaa6/o1q1bHHLIIXHsscfG9ttvHzNnzowrrrgixowZE7NmzYq8vLxYvHjxWt8R+sgjj8Q//vGP+Oqrr2LhwoXxyy+/RE5OTqE2DRs2XO2GmLPOOivatGkT33//fey4444xfPjw6N27d2RlZW2W4wYobRYuXBhly5aN9957L8qWLVtoXZUqVVZrf88998Shhx4atWvXLvK+PM4FYBPr2LFjjBkzJpIkiddeey2OPvro2GOPPeL111+PV199NerVqxe77bZbTJ48Odq3b19o2/bt28cXX3yReRxMRMS+++67xv306tUrFi1aFC+88MJ6BegFzjzzzMzbmmbOnBmjRo3KvCX0yy+/jMWLF0fXrl2jSpUqma9///vf8dVXX2X6GDp0aOyzzz5Rs2bNqFKlStx9992r/eKw1157CdABACh1ypYtGy+++GKMGjUqmjVrFrfeems0adIkpkyZEqeeempMnDgxhgwZEuPGjYuJEydG9erVUz8DaPz48fH73/8+evToEf/73/9iwoQJMWDAgNXaV65cebVtW7duHS1btox///vf8d5778XHH39c6GYbgG1d69atIy8vL2bNmhW77rproa86deoUajtlypQYPXr0Bj3KJcKd6ACbXKdOneLee++NDz74IMqXLx9NmzaNTp06xZgxY2LOnDnRsWPHIvW3pgl1RESPHj3igQceiPHjx6/2ttK1OeWUU+LSSy+N8ePHx7hx46Jx48aZD9RYuHBhRESMHDkydtxxx0LbVahQISIiHn744bjooovi5ptvjrZt20bVqlXjxhtvjLfeemu96gYAgJIuKysr2rdvH+3bt4+BAwdGw4YN44knnog33ngjbr/99ujRo0dERHz77bcxe/bs1H7GjRsXDRs2jAEDBmSWffPNN+tdx5lnnhl///vf4/vvv48uXbpEgwYNNvygAEqhhQsXxpdffpn5fsqUKTFx4sTYYYcdYvfdd4/f//73ccopp8TNN98crVu3jh9//DFefvnlaNGiRfTs2TOz3b333ht169aN7t27b1AdQnSATazguei33HJLJjDv1KlT/OUvf4k5c+ZkHs2yxx57xBtvvFFo2zfeeCN233331d6GtCbnnntu7LnnnnH44YfHyJEj1zucr169ehx55JExbNiwGD9+fJx22mmZdc2aNYsKFSrEtGnTUvt74403ol27dtG3b9/MspXvUgcAgNLsrbfeipdffjkOOeSQqFWrVrz11lvx448/xh577BG77bZb3H///bHvvvvG/Pnz4+KLL45KlSql9rXbbrvFtGnT4uGHH442bdrEyJEj44knnljvWk488cS46KKL4p///Gf8+9//3hSHB1CqvPvuu9G5c+fM93/6058iIuLUU0+N4cOHx7Bhw+Kaa66JCy+8ML7//vuoUaNGHHDAAYU+pyI/Pz/zSKz1yVvWRIgOsIltv/320aJFi3jwwQfjtttui4iIAw88MI4//vhYsWJFJpy+8MILo02bNnH11VfHCSecEOPHj4/bbrstbr/99vXe1x/+8IfIy8uLQw89NEaNGhW/+c1v1mu7M888Mw499NDIy8sr9IEaVatWjYsuuiguuOCCyM/Pj9/85jcxb968eOONNyInJydOPfXU2G233eLf//53PP/889G4ceO4//7745133onGjRsX4SwBAEDJlJOTE2PHjo2///3vMX/+/GjYsGHcfPPN0b1796hTp06cffbZsffee0eDBg3iuuuui4suuii1r8MPPzwuuOCC6NevXyxbtix69uwZf/7zn2Pw4MHrVUu1atXimGOOiZEjR8aRRx65aQ4QoBTp1KlTJEmSur7gc9tW/uy2VZUpUya+/fbbjaojK1lbFQBskP79+8eQIUNi8uTJ0bRp04iIaNWqVcycOTN++OGHTLvHHnssBg4cGF988UXUrVs3/vCHPxSahDdq1Cj69+8f/fv3zyybOnVqNG7cOCZMmBCtWrWKiIi//e1vMXjw4HjuueeiXbt266wvSZJo3LhxNG/ePEaOHLnaun/84x9xxx13xNdffx25ubmx9957x+WXXx4HHnhgLFu2LM4555x44oknIisrK3r16hXVqlWLUaNGxcSJEyMionfv3jF37tx48sknN+wEAgAAERFx8MEHR/PmzeMf//hHcZcCsM0SogNsgxYuXBg77rhjDBs2LI4++ujiLgcAAFjFnDlzYsyYMXHsscfGJ598Ek2aNCnukgC2WR7nArANyc/Pj9mzZ8fNN98cubm5cfjhhxd3SQAAwBq0bt065syZEzfccIMAHaCYCdEBtiIPPvhg9OnTZ43rGjZsGCNHjozGjRtH/fr1Y/jw4VGunMsAAACURFOnTi3uEgD4/3mcC8BWZMGCBTFz5sw1ritfvnw0bNhwC1cEAAAAULoJ0QEAAAAAIEWZ4i4AAAAAAABKKiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6sM2aOnVqZGVlxfDhw4u7lEKee+65aNWqVVSsWDGysrJi7ty5m32fgwcPjqysrM2+nw3Vu3fvaNSoUXGXsVGysrJi8ODBxV0GAAAAUERCdGCjDR8+PLKysgp91apVKzp37hyjRo3a4vWMGTOmUC3ly5ePnXfeOU455ZT4+uuvN8k+xo0bF4MHD97kAfdPP/0Uxx9/fFSqVCmGDh0a999/f1SuXHmT7gMAAACA9VeuuAsAth5XXXVVNG7cOJIkiZkzZ8bw4cOjR48e8cwzz8Shhx66xes5//zzo02bNrFixYp4//334+67746RI0fGhx9+GPXq1duovseNGxdXXnll9O7dO3JzczdNwRHxzjvvxIIFC+Lqq6+OLl26bLJ+S7t//vOfkZ+fX9xlAAAAANsgITqwyXTv3j323XffzPdnnHFG1K5dOx566KFiCdE7dOgQxx57bEREnHbaabH77rvH+eefH/fdd19cdtllW7ye9TFr1qyIiE0azG9pSZLE0qVLo1KlSpusz/Lly2+yvgAAAACKwuNcgM0mNzc3KlWqFOXKFf573aJFi+LCCy+MBg0aRIUKFaJJkyZx0003RZIkERGxZMmSaNq0aTRt2jSWLFmS2e7nn3+OunXrRrt27SIvL6/I9Rx00EERETFlypS1tnvllVeiQ4cOUbly5cjNzY0jjjgiJk+enFk/ePDguPjiiyMionHjxpnHxkydOnWt/Y4YMSL22WefqFSpUtSoUSNOOumk+P777zPrO3XqFKeeempERLRp0yaysrKid+/eqf0tWLAg+vfvH40aNYoKFSpErVq1omvXrvH+++9n2rz22mtx3HHHxU477RQVKlSIBg0axAUXXFDovKYZNmxYHHTQQVGrVq2oUKFCNGvWLO64447V2jVq1CgOPfTQeP7552PfffeNSpUqxV133RUdO3aMli1brrHvJk2aRLdu3dZZQ4FVn4le8Dz7m266Ke6+++7YZZddokKFCtGmTZt455131rvfiP97HNGq41fwWKAxY8Zkln3xxRdxzDHHRJ06daJixYpRv379+N3vfhfz5s3LtFm2bFlccMEFUbNmzahatWocfvjh8d133xWpJgAAAKDkcCc6sMnMmzcvZs+eHUmSxKxZs+LWW2+NhQsXxkknnZRpkyRJHH744TF69Og444wzolWrVvH888/HxRdfHN9//33ccsstUalSpbjvvvuiffv2MWDAgPjb3/4WERHnnXdezJs3L4YPHx5ly5Ytcn1fffVVRERUr149tc1LL70U3bt3j5133jkGDx4cS5YsiVtvvTXat28f77//fjRq1CiOPvro+Pzzz+Ohhx6KW265JWrUqBERETVr1kztd/jw4XHaaadFmzZt4vrrr4+ZM2fGkCFD4o033ogJEyZEbm5uDBgwIJo0aRJ333135tE4u+yyS2qf55xzTjz66KPRr1+/aNasWfz000/x+uuvx+TJk2PvvfeOiF+D+8WLF8e5554b1atXj7fffjtuvfXW+O6772LEiBFrPV933HFHNG/ePA4//PAoV65cPPPMM9G3b9/Iz8+P8847r1Dbzz77LHr16hV9+vSJs846K5o0aRJVqlSJs846Kz766KPYc889M23feeed+Pzzz+OKK65Y6/7Xx3/+859YsGBB9OnTJ7KysuKvf/1rHH300fH1119v8rvXly9fHt26dYtly5bFH/7wh6hTp058//338b///S/mzp0b1apVi4iIM888Mx544IE48cQTo127dvHKK69Ez549N2ktAAAAwBaUAGykYcOGJRGx2leFChWS4cOHF2r75JNPJhGRXHPNNYWWH3vssUlWVlby5ZdfZpZddtllSZkyZZKxY8cmI0aMSCIi+fvf/77OekaPHp1ERHLvvfcmP/74YzJ9+vRk5MiRSaNGjZKsrKzknXfeSZIkSaZMmZJERDJs2LDMtq1atUpq1aqV/PTTT5llH3zwQVKmTJnklFNOySy78cYbk4hIpkyZss56li9fntSqVSvZc889kyVLlmSW/+9//0siIhk4cGBmWcG5LKhxbapVq5acd955a22zePHi1ZZdf/31SVZWVvLNN99klg0aNChZ9ZKwpm27deuW7LzzzoWWNWzYMImI5Lnnniu0fO7cuUnFihWTSy65pNDy888/P6lcuXKycOHCtda+slNPPTVp2LBh5vuCsatevXry888/Z5Y/9dRTSUQkzzzzzHr3XXDOVx3Lgv9Ho0ePTpIkSSZMmJBERDJixIjUviZOnJhERNK3b99Cy0888cQkIpJBgwatd10AAABAyeBxLsAmM3To0HjxxRfjxRdfjAceeCA6d+4cZ555Zjz++OOZNs8++2yULVs2zj///ELbXnjhhZEkSYwaNSqzbPDgwdG8efM49dRTo2/fvtGxY8fVtlub008/PWrWrBn16tWLnj17xqJFi+K+++4r9Nz2lf3www8xceLE6N27d+ywww6Z5S1atIiuXbvGs88+u977Xtm7774bs2bNir59+0bFihUzy3v27BlNmzaNkSNHblC/ubm58dZbb8X06dNT26z8XPJFixbF7Nmzo127dpEkSUyYMGGt/a+8bcG7DDp27Bhff/11oceXRPz6WJtVH89SrVq1OOKII+Khhx7KPKonLy8vHnnkkTjyyCOjcuXK632saU444YTYfvvtM9936NAhIiK+/vrrje57VQV3mj///POxePHiNbYp+D+y6v/T/v37b/J6AAAAgC1DiA5sMvvtt1906dIlunTpEr///e9j5MiR0axZs+jXr18sX748IiK++eabqFevXlStWrXQtnvssUdmfYHs7Oy49957Y8qUKbFgwYIYNmxYZGVlrXc9AwcOjBdffDFeeeWVmDRpUkyfPj1OPvnk1PYF+27SpMlq6/bYY4+YPXt2LFq0aL33vz79Nm3atNAxF8Vf//rX+Oijj6JBgwax3377xeDBg1cLj6dNm5b5o0CVKlWiZs2a0bFjx4iI1YLwVb3xxhvRpUuXzLPha9asGZdffvkat23cuPEa+zjllFNi2rRp8dprr0XEr4/LmTlz5lrHoSh22mmnQt8XBOpz5szZJP2vrHHjxvGnP/0p7rnnnqhRo0Z069Ythg4dWuhcfPPNN1GmTJnVHsOzprEHAAAASgchOrDZlClTJjp37hw//PBDfPHFFxvUx/PPPx8REUuXLi1yH3vttVd06dIlOnfuHHvttddqH3Ba2h1//PHx9ddfx6233hr16tWLG2+8MZo3b565mz8vLy+6du0aI0eOjEsuuSSefPLJePHFF2P48OEREZGfn5/a91dffRUHH3xwzJ49O/72t7/FyJEj48UXX4wLLrhgjduufNf6yrp16xa1a9eOBx54ICIiHnjggahTp0506dJlYw8/IiL12fgFd76vj7Q/zKzpw2tvvvnmmDRpUlx++eWxZMmSOP/886N58+Y+OBQAAAC2YkJ0YLP65ZdfIiJi4cKFERHRsGHDmD59eixYsKBQu08//TSzvsCkSZPiqquuitNOOy1at24dZ5555jrvnt4YBfv+7LPPVlv36aefRo0aNTKPICnKHfFr6/ezzz4rdMxFVbdu3ejbt288+eSTMWXKlKhevXpce+21ERHx4Ycfxueffx4333xzXHLJJXHEEUdEly5dol69euvs95lnnolly5bF008/HX369IkePXpEly5dUsPyNGXLlo0TTzwxHn300ZgzZ048+eST0atXrw36YNjNpeDu9blz5xZanvYOgb322iuuuOKKGDt2bLz22mvx/fffx5133hkRv451fn5+5kNsC6xp7AEAAIDSQYgObDYrVqyIF154IbKzszOPa+nRo0fk5eXFbbfdVqjtLbfcEllZWdG9e/fMtr1794569erFkCFDYvjw4TFz5szMndCbQ926daNVq1Zx3333FQpUP/roo3jhhReiR48emWUFYfqqweua7LvvvlGrVq248847Y9myZZnlo0aNismTJ0fPnj2LXGteXt5qf1CoVatW1KtXL7OPgqB65buykySJIUOGrLP/NW07b968GDZsWJFrPfnkk2POnDnRp0+fWLhwYZx00klF7mNzKnj0ytixYzPL8vLy4u677y7Ubv78+Zk/ChXYa6+9okyZMplzXvD/9x//+Eehdn//+983ddkAAADAFrJ1PdsAKFajRo3K3FE+a9as+M9//hNffPFFXHrppZGTkxMREYcddlh07tw5BgwYEFOnTo2WLVvGCy+8EE899VT0798/E2hec801MXHixHj55ZejatWq0aJFixg4cGBcccUVceyxxxYKtDelG2+8Mbp37x5t27aNM844I5YsWRK33nprVKtWLQYPHpxpt88++0RExIABA+J3v/tdlC9fPg477LA1flhm+fLl44YbbojTTjstOnbsGL169YqZM2fGkCFDolGjRhv0h4EFCxZE/fr149hjj42WLVtGlSpV4qWXXop33nknbr755oj49Xnru+yyS1x00UXx/fffR05OTjz22GPr9bzwQw45JLKzs+Owww7LhN///Oc/o1atWvHDDz8UqdbWrVvHnnvuGSNGjIg99tgj9t577yIf7+bUvHnzOOCAA+Kyyy6Ln3/+OXbYYYd4+OGHVwvMX3nllejXr18cd9xxsfvuu8cvv/wS999/f5QtWzaOOeaYiIho1apV9OrVK26//faYN29etGvXLl5++eX48ssvi+PQAAAAgE1AiA5sMgMHDsz8u2LFitG0adO44447ok+fPpnlZcqUiaeffjoGDhwYjzzySAwbNiwaNWoUN954Y1x44YUREfH+++/HddddF/369YvOnTtntr300kvjqaeeirPOOis+/vjjyM3N3eTH0KVLl3juuedi0KBBMXDgwChfvnx07NgxbrjhhkIfntmmTZu4+uqr484774znnnsu8vPzY8qUKWsM0SMievfuHdttt1385S9/iUsuuSQqV64cRx11VNxwww0bdBzbbbdd9O3bN1544YV4/PHHIz8/P3bddde4/fbb49xzz42IX8P7Z555Js4///y4/vrro2LFinHUUUdFv379omXLlmvtv0mTJvHoo4/GFVdcERdddFHUqVMnzj333KhZs2acfvrpRa73lFNOif/3//7fJvtA0U3twQcfjD59+sRf/vKXyM3NjTPOOCM6d+4cXbt2zbRp2bJldOvWLZ555pn4/vvvY7vttouWLVvGqFGj4oADDsi0u/fee6NmzZrx4IMPxpNPPhkHHXRQjBw5Mho0aFAchwYAAABspKykKJ++BgAbYMiQIXHBBRfE1KlTY6eddirucgAAAADWmxAdgM0qSZJo2bJlVK9ePUaPHl3c5QAAAAAUice5ALBZLFq0KJ5++ukYPXp0fPjhh/HUU0+t1ubnn3+O5cuXp/ZRtmzZqFmz5gbtf/ny5fHzzz+vtU21atWiUqVKG9Q/AAAAsG1wJzoAm8XUqVOjcePGkZubG3379o1rr712tTadOnWKV199NbWPhg0bxtSpUzdo/2PGjCn0TP01GTZsWPTu3XuD+gcAAAC2DUJ0AIrNe++9F3PmzEldX6lSpWjfvv0G9T1nzpx477331tqmefPmUbdu3Q3qHwAAANg2CNEBAAAAACBFmeIuAAAAAAAASqoN/mDR/Pz8mD59elStWjWysrI2ZU0AALDVSpIkFixYEPXq1YsyZdzTAgAAJd0Gh+jTp0+PBg0abMpaAABgm/Htt99G/fr1i7sMAABgHTY4RK9atWpE/Dr5z8nJ2WQFAQDA1mz+/PnRoEGDzHwaAAAo2TY4RC94hEtOTo4QHQAAisgjEQEAoHTwEEYAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEghRAcAAAAAgBRCdAAAAAAASCFEBwAAAACAFEJ0AAAAAABIIUQHAAAAAIAUQnQAAAAAAEhRrrgLgE1p5syZMW/evOIug82gWrVqUbt27eIuAwAAAIBtjBCdrcbMmTPjpJNPiRXLlxV3KWwG5bMrxAP3/1uQDgAAAMAWJURnqzFv3rxYsXxZLNm5Y+RXrFbc5WxWZZbMjUpTxsaSxgdGfqXc4i5nsyuzdF7E16/GvHnzhOgAAAAAbFFCdLY6+RWrRX7lGsVdxhaRXyl3mzlWAAAAACgOPlgUAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAghRAdAAAAAABSCNEBAAAAACCFEB0AAAAAAFII0QEAAAAAIIUQHQAAAAAAUgjRAQAAAAAgRakO0ZcuXRqff/55LF26tLhLAYBCXKMAAABg61CqQ/Rp06bF2WefHdOmTSvuUgCgENcoAAAA2DqU6hAdAAAAAAA2JyE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAApBCiAwAAAABACiE6AAAAAACkEKIDAAAAAEAKIToAAAAAAKQQogMAAAAAQAohOgAAAAAA/H/t3Xt0ldWZP/AnCSSBQsJFCWABpaIWBBFvQ63aqYz3AVpFx1KrY8VRcdT601oLynSmVcdWV6uiaK26wEsqtXjXkVERqwEtioIo6hKVpVxqDRcFiZD39wcrZ3JCNgQEE/DzWYsF57z73ft599mchG9e9kkQogMAAAAAQIIQHQAAAAAAEoToAAAAAACQIEQHAAAAAIAEIToAAAAAACQI0QEAAAAAIEGIDgAAAAAACUJ0AAAAAABIEKIDAAAAAECCEB0AAAAAABKE6AAAAAAAkCBEBwAAAACABCE6AAAAAAAkCNEBAAAAACBBiA4AAAAAAAlCdAAAAAAASBCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgAQhOgAAAAAAJAjRAQAAAAAgQYgOAAAAAAAJQnQAAAAAAEgQogMAAAAAQIIQHQAAAAAAEoToAAAAAACQIEQHAAAAAIAEIToAAAAAACQI0QEAAAAAIEGIDgAAAAAACUJ0AAAAAABIEKIDAAAAAECCEB0AAAAAABKE6AAAAAAAkCBEBwAAAACABCE6AAAAAAAkCNEBAAAAACBBiA4AAAAAAAlCdAAAAAAASBCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgAQhOgAAAAAAJAjRAQAAAAAgQYgOAAAAAAAJQnQAAAAAAEgQogMAAAAAQIIQHQAAAAAAEoToAAAAAACQIEQHAAAAAIAEIToAAAAAACS0au4CAOCrYvny5TFmzJhYsmRJdO7cOT799NNYuHBhREQUFhbGrbfeGr17945169bFq6++Gh9//HF06tQpBgwYEEVFRbl+ampqYtKkSTF58uRYu3ZtdO7cOW644YbYeeedY926dTF79uyYPXt2REQMGDAgCgsL46OPPorXX389IiJ22WWXGDZsWBQXF+f6rDvvpZdeiqVLl0aXLl1i0KBBMXDgwNzYm6prYxqeu9dee8XDDz8cH374YXTv3j2OO+64eOONNxrtu6amJh544IFc22HDhkVRUdEW19IUjY1Zf75qampiypQpMWfOnGjTpk0cccQRMWjQoCgqKtrkPH2RedxSmzNmY20jYrPOr78GBw4cmLeOvkhtW0NzzD8AALB9E6IDwJdg5MiR8cEHH+Qe/+1vf8s7XltbG6effnpERHTt2jUWL16cO9a1a9c455xz4tBDD40JEyZEZWVl3rlLliyJESNGRGlpaZSWlsayZcs2Wc+ECRNixIgRcdZZZ8X06dPj2muv3eC8u+66Kzp06BAXXnhhRETceOONybo2Zvr06Ruc29D48ePzHtf1PW/evJg8eXKsW7cud+ymm26K0tLSWLVq1WbX0hQTJkzYYMz68zVhwoS49957o7a2Nnd86tSp0bZt2xg6dGhMmzYtOU+NzcXWrL0xmzNmY207dOgQEZG3PjZ2fsO1NGnSpNw6asp423I+mmP+AQCA7Z/tXABgG6sfoNe/mzll8eLFMX78+Hj00Udj/Pjx0bt37xg3blyMGTMmL0Dv0aNHDB8+PAoKCiIi4rPPPotly5ZF//7947TTTouIiNatW+faH3LIIbH//vtHRERpaWlUVlbGmDFj4vLLL8+Fnv369Yvzzjsv+vbtGxHrg9PLL788Lr/88ujdu3ejdU2fPj15LdOnT49x48blzj3++OPz6ho2bFje4+OPPz7X9+WXXx6VlZVRVlYWF110Udx3330xdOjQqK2tjVWrVsWQIUM2q5amqPshRf0xL7rooigrK4vKyso466yzorKyMmpra+Mb3/hGXHHFFXHeeedF+/btY9WqVVFZWRnl5eWNztOECRPy5mJr196YhvO/sTEbaztq1KhYtmxZLFu2LEaNGtWk8+vW4DXXXBPXXntt9O/fP7eONjXetpyPL3s8AABgx1GQZVm2JSeuWLEiysvLY/ny5VFWVra162qSN998M84888y45ZZbYo899miWGmg56tbDp32HRu3Xdmrucrapwk8/iq/Ne/Arca0R/3e9/q6zPal7T/rtb38bF1xwQURE3HPPPXHyySfn2tx6661xxhlnRMT6u75HjhyZO3bbbbdF7969I2L9Xeo///nPY8aMGbnjDz74YO7r75o1a+LII4/MHbv77rvjwgsvjF133TVmzpwZRUVFUVRUFJ06dYqJEyfGuHHj4p133ok1a9ZEdXV1FBcXR0FBQQwaNCh+9atfRWFhYdTW1saYMWNi1qxZUVNTEyUlJfHwww/nhfK1tbUxduzYWLBgQdx5550bbImxbt26GDlyZPTu3Tt++ctfxtq1a+Poo4+OsrKy+OMf/xjjxo2LF154IQ488MD4xS9+ESeddFKsWLEiHnvssaitrY2jjjoqCgsL47HHHouSkpJcf7vuumvMnz8/17a4uHiTtTRFTU1Nrr7JkydHq1b/9x/21q5dGyeccEIsW7YsCgoK4qCDDoorrrgiCgsLc6/B0UcfHbW1tdGlS5e45557cjXUzWXdtdbNcVPncUs1nP+NjRkRG7StO3+33XaLiIh33303V1/q/Orq6rx1VP/6X3rppejYsWPcddddjY63Ledjc+biy9japSV8Hw0AADRdk7dzWbNmTaxZsyb3eMWKFdukoC3x3nvvNXcJtADWwY7Pa8z2pG69Xn/99RERufC0TuvWrWP33XePAw44IF588cUYM2ZM3vlnnHFGPPXUUxGxfr/0XXbZJXds1113zQve5s2bl3fu6NGjo7q6Og4++ODIsixOPPHEuPvuu2PRokUxd+7cGDlyZIwePTq+853vxLRp06KmpiYiIn74wx/mwsXCwsL44Q9/GFVVVRGx/vuAuXPnxr777psbp7CwMNfXq6++mncsYv0e2osXL47LLrssCgsL44EHHoh169bFj3/84yguLo4DDzwwqqqq4sADD4zi4uI4/fTT45prrokHHngg10dtbW3Mmzcv9t1337z+3nnnnVzbESNGbLKWpqhfX/0APSKiVatWMXDgwJg2bVpkWRannHJKXhA7b9683PYuS5cuzauhsLAw71rrn9eUedxSDed/Y2NGxAZt658fEXn1pc6PyF9HdWPVraXFixcnx9uW87E5c7G15h8AANhxNDlEv/LKK+MXv/jFtqxli9UPJYAdl7/rbI8+/vjjiIj40Y9+lPd19JRTTsn9/uKLL8bf//73vPPq77cdEXk/yD7zzDMbHaPOJ598EhGRC8ePOeaYuPvuu3NtBw8eHBHrt3Spr+6O49TjhuPUb9PYsbrn6tp8+OGHERG58UtKSvLqqHu+rl3Dfur3V1FRsUHbjdXSFA3ra6j+fG1qbho+rrvWut8b+qK1N6bh/DdlzPptGzu/sbYNa25svE310ZTavogtmQsAAIA6TQ7RL7300twHi0WsvxO9R48e26SozTVmzJjo1atXc5dBM3vvvfeErDs4f9fZntS9J3Xq1Cmqq6tj4sSJUVFRkftA0UmTJsWPfvSjmDRpUkREdO7cOVauXJk7v+HdsvXD11tuuSW+9a1v5R536tQpr227du1y27RERDz66KN5bRcsWBAR6/dQr2/BggXRr1+/vMf1NRynfpvGjtU9V9dv9+7dIyKiqqoqjjvuuNwPBurqqLvrva5dw37q9/fOO+9s0HZjtTRFw/oaqj9fDeeq4ZgNH9dda/0fhtT3RWtvTMP5b8qY9dvWP79hnxurubHxNtZHU2v7IrZkLgAAAOo0OUQvKSlJ3j3V3Hr16mWfZPgK8Hed7dG///u/xwUXXBAvvPBC3p7on3/+ebz99tvx4osvRsT6/2lRf0/0W2+9Nffn2tra3AeTRqzfm3rFihW5LV3qPgS0zvjx4+PCCy+MDz74IAoKCuLee++NkpKS6NSpU+y9994xbty46Nq1a7zyyisREbk90e+88868PdHvvPPOKC4uzu2Jvvfee+eNU1tbG3fddVd069YtBgwYsMG1DxgwILp27Rp33XVX/PKXv4xhw4bFhAkT4g9/+EMcccQR8cILL0RRUVG88MILceyxx8Ztt90WRUVFMWzYsKitrY3x48dHYWFh7vrq+ps0aVLMnz8/17YptTRF/fqOOuqoDfZEnz17dkREFBQUxKRJk/L2RO/bt29u3rp06ZJXQ21tbd61Dhs2bIM9ub9o7Y1pOP+bGrNh27rz6/Y8r982dX51dXXeOqpre+edd0ZJSUl07NgxOd62nI/NnQsAAID6CjfdBADYUm3bts3tZ37yySfn7g6PiNyHikZEXoAeEbF69epYtWpVvPbaazF27NiYOXNmHHzwwbnjQ4cOjZEjR8Y111wTRx11VN65V155ZRx55JExY8aMaNWqVaxduzbWrFkT3/jGN+LSSy+N559/PlauXJnbN72mpibWrFkTVVVVce6558Z9990X5557blRVVeW2hFmzZk2MGzcuXnvttby6qqqq4uyzz270wxiLiorinHPOiaqqqhg7dmy89dZbMXz48Kiuro5jjz02qqqq8n6vrq6O4cOHx1tvvRX/+Z//GRHrA85/+Zd/iYceeiiqq6vjgAMOiBkzZkR1dXX84z/+Y6xdu7ZJtTRFcXFxjBgxIqqrq2PEiBHx0EMPxUcffRQPPfRQjBgxIpYtWxZ77bVXZFkWM2bMiDPOOCOee+65uO++++KEE07IbcHTsWPHeOONN/LmacaMGTFixIiYMWNGjB07drPmcUs1nP+NjdlY2zVr1sRxxx0XVVVVef97YGPn19TURFVVVZx//vkxa9asmDVrVpx//vlRVVUVa9asiXPOOSc53racjy97PAAAYMdSkGVZtiUnrlixIsrLy2P58uV5H272ZXrzzTfjzDPPjFtuucXdqeTWw6d9h0bt13Zq7nK2qcJPP4qvzXvwK3GtEf93vf6usz1p+DVq5MiReXeTb0zXrl1zH9IYsf4O4LPPPjsOPfTQmDBhQlRWVjZ6XmlpaZSWlsayZcs2OUZRUVGMGDEizjrrrJg+fXpce+21jZ7XsWPH+MlPfhIRETfeeGOyro2ZPn36BuduSl3f8+bNi8mTJ8e6detyxwoLC6O0tDRWrVq12bU0xYQJEzYYs/58TZgwIe69994N9q1v27ZtDB06NKZNm5acp8bmYmvW3pjNGbOxth07dowsy/LWx8bOb2wtdejQIS688MImjbct56M55r8xLeH7aAAAoOmE6OwwhOg7LiE626PGvkYtX748xowZE0uWLInOnTvHp59+GgsXLoyI9cHwrbfeGr17945169bFq6++Gh9//HF06tQpBgwYkHeHbE1NTUyaNCkmT54ca9eujc6dO8cNN9wQO++8c6xbty5mz56d23pkwIABUVhYGB999FG8/vrrERGxyy67xLBhw/Luiq8776WXXoqlS5dGly5dYtCgQTFw4MDc2Juqa2ManrvXXnvFww8/HB9++GF07949jjvuuHjjjTca7bumpiYeeOCBXNthw4ZFUVHRFtfSFI2NWX++ampqYsqUKTFnzpxo06ZNHHHEETFo0KAoKira5Dx9kXncUpszZmNtI2Kzzq+/BgcOHJi3jr5IbVtDc8x/Qy3h+2gAAKDphOjsMIToOy4hOtsjX6OAlJbwfTQAANB09kQHAAAAAIAEIToAAAAAACQI0QEAAAAAIEGIDgAAAAAACUJ0AAAAAABIEKIDAAAAAECCEB0AAAAAABKE6AAAAAAAkCBEBwAAAACABCE6AAAAAAAkCNEBAAAAACBBiA4AAAAAAAlCdAAAAAAASBCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgAQhOgAAAAAAJAjRAQAAAAAgQYgOAAAAAAAJQnQAAAAAAEgQogMAAAAAQIIQHQAAAAAAEoToAAAAAACQIEQHAAAAAIAEIToAAAAAACQI0QEAAAAAIEGIDgAAAAAACUJ0AAAAAABIEKIDAAAAAECCEB0AAAAAABKE6AAAAAAAkCBEBwAAAACABCE6AAAAAAAkCNEBAAAAACBBiA4AAAAAAAlCdAAAAAAASBCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgAQhOgAAAAAAJAjRAQAAAAAgQYgOAAAAAAAJQnQAAAAAAEgQogMAAAAAQIIQHQAAAAAAEoToAAAAAACQIEQHAAAAAIAEIToAAAAAACQI0QEAAAAAIEGIDgAAAAAACUJ0AAAAAABIEKIDAAAAAECCEB0AAAAAABKE6AAAAAAAkCBEBwAAAACABCE6AAAAAAAkCNEBAAAAACBBiA4AAAAAAAlCdAAAAAAASBCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgAQhOgAAAAAAJAjRAQAAAAAgQYgOAAAAAAAJQnQAAAAAAEgQogMAAAAAQIIQHQAAAAAAEoToAAAAAACQIEQHAAAAAIAEIToAAAAAACQI0QEAAAAAIEGIDgAAAAAACdt1iN6zZ8+45ZZbomfPns1dCgDk8TUKAAAAdgytmruAL6K0tDT22GOP5i4DADbgaxQAAADsGLbrO9EBAAAAAGBbEqIDAAAAAECCEB0AAAAAABKE6AAAAAAAkCBEBwAAAACABCE6AAAAAAAkCNEBAAAAACBBiA4AAAAAAAlCdAAAAAAASBCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgAQhOgAAAAAAJAjRAQAAAAAgQYgOAAAAAAAJQnQAAAAAAEgQogMAAAAAQIIQHQAAAAAAEoToAAAAAACQIEQHAAAAAIAEIToAAAAAACQI0QEAAAAAIEGIDgAAAAAACUJ0AAAAAABIEKIDAAAAAECCEB0AAAAAABKE6AAAAAAAkCBEBwAAAACABCE6AAAAAAAkCNEBAAAAACBBiA4AAAAAAAlCdAAAAAAASBCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgAQhOgAAAAAAJAjRAQAAAAAgQYgOAAAAAAAJQnQAAAAAAEgQogMAAAAAQIIQHQAAAAAAEoToAAAAAACQIEQHAAAAAIAEIToAAAAAACQI0QEAAAAAIEGIDgAAAAAACUJ0AAAAAABIEKIDAAAAAECCEB0AAAAAABKE6AAAAAAAkCBEBwAAAACABCE6AAAAAAAkCNEBAAAAACBBiA4AAAAAAAlCdAAAAAAASBCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgAQhOgAAAAAAJAjRAQAAAAAgQYgOAAAAAAAJQnQAAAAAAEgQogMAAAAAQIIQHQAAAAAAEoToAAAAAACQIEQHAAAAAIAEIToAAAAAACQI0QEAAAAAIEGIDgAAAAAACUJ0AAAAAABIEKIDAAAAAECCEB0AAAAAABKE6AAAAAAAkCBEBwAAAACABCE6AAAAAAAktGruAmBrK/xseXOXsM0Vrl6W9/uO7qvwmgIAAADQMgnR2WGUl5dH6+KSiHeeae5SvjRtFkxv7hK+NK2LS6K8vLy5ywAAAADgK0aIzg6joqIi7pw0MZYvd9fyjqi8vDwqKiqauwwAAAAAvmKE6OxQKioqBK0AAAAAwFbjg0UBAAAAACBBiA4AAAAAAAlCdAAAAAAASBCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgAQhOgAAAAAAJAjRAQAAAAAgQYgOAAAAAAAJQnQAAAAAAEgQogMAAAAAQIIQHQAAAAAAEoToAAAAAACQIEQHAAAAAIAEIToAAAAAACQI0QEAAAAAIEGIDgAAAAAACUJ0AAAAAABIEKIDAAAAAECCEB0AAAAAABKE6AAAAAAAkCBEBwAAAACABCE6AAAAAAAkCNEBAAAAACBBiA4AAAAAAAlCdAAAAAAASBCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgAQhOgAAAAAAJAjRAQAAAAAgQYgOAAAAAAAJQnQAAAAAAEgQogMAAAAAQIIQHQAAAAAAEoToAAAAAACQ0GpLT8yyLCIiVqxYsdWKAQCAHV3d9891308DAAAt2xaH6CtXroyIiB49emy1YgAA4Kti5cqVUV5e3txlAAAAm1CQbeEtMLW1tfHhhx9G+/bto6CgYGvXFRHr79Lp0aNHLFy4MMrKyrbJGHx1WE9sLdYSW5P1xNZkPW0fsiyLlStXRvfu3aOw0O6KAADQ0m3xneiFhYXx9a9/fWvWklRWVuYfgmw11hNbi7XE1mQ9sTVZTy2fO9ABAGD74dYXAAAAAABIEKIDAAAAAEBCiw7RS0pKYty4cVFSUtLcpbADsJ7YWqwltibria3JegIAANj6tviDRQEAAAAAYEfXou9EBwAAAACA5iREBwAAAACABCE6AAAAAAAktOgQffz48bHrrrtGaWlpHHTQQfHCCy80d0lsQ9OnT49//ud/ju7du0dBQUHcf//9ecezLIvLL788unXrFm3atIkhQ4bEW2+9ldfm448/jpEjR0ZZWVl06NAhfvzjH8cnn3yS1+bVV1+NQw45JEpLS6NHjx5x9dVXb1DL5MmTY6+99orS0tLo379/PProo5tdC83nyiuvjAMOOCDat28fXbp0ieHDh8f8+fPz2nz22WcxevTo6Ny5c7Rr1y6OP/74WLJkSV6b999/P4499tho27ZtdOnSJS6++OJYu3ZtXptp06bFoEGDoqSkJHbfffe44447NqhnU+9lTamF5nPTTTfFgAEDoqysLMrKymLw4MHx2GOP5Y5bS2ypq666KgoKCuKCCy7IPWc9AQAAtEBZC1VZWZkVFxdnt912W/baa69lo0aNyjp06JAtWbKkuUtjG3n00UezMWPGZH/+85+ziMimTJmSd/yqq67KysvLs/vvvz975ZVXsqFDh2a77bZbtnr16lybo446Kttnn32yGTNmZM8++2y2++67ZyeffHLu+PLly7OKiops5MiR2dy5c7N77rkna9OmTXbzzTfn2jz33HNZUVFRdvXVV2fz5s3Lxo4dm7Vu3TqbM2fOZtVC8znyyCOz22+/PZs7d242e/bs7Jhjjsl69uyZffLJJ7k2Z511VtajR4/sySefzP76179m//AP/5B961vfyh1fu3Zttvfee2dDhgzJXn755ezRRx/Ndtppp+zSSy/NtXnnnXeytm3bZhdeeGE2b9687Prrr8+Kioqyxx9/PNemKe9lm6qF5vXggw9mjzzySPbmm29m8+fPz37+859nrVu3zubOnZtlmbXElnnhhReyXXfdNRswYEB2/vnn5563ngAAAFqeFhuiH3jggdno0aNzj9etW5d17949u/LKK5uxKr4sDUP02trarGvXrtmvf/3r3HPLli3LSkpKsnvuuSfLsiybN29eFhHZiy++mGvz2GOPZQUFBdkHH3yQZVmW3XjjjVnHjh2zNWvW5Npccskl2Z577pl7fOKJJ2bHHntsXj0HHXRQ9m//9m9NroWWZenSpVlEZM8880yWZetfr9atW2eTJ0/OtXn99deziMiqqqqyLFv/Q53CwsJs8eLFuTY33XRTVlZWlls/P/3pT7N+/frljXXSSSdlRx55ZO7xpt7LmlILLU/Hjh2zW2+91Vpii6xcuTLr06dPNnXq1Oywww7LhejWEwAAQMvUIrdzqampiVmzZsWQIUNyzxUWFsaQIUOiqqqqGSujuSxYsCAWL16ctybKy8vjoIMOyq2Jqqqq6NChQ+y///65NkOGDInCwsKYOXNmrs2hhx4axcXFuTZHHnlkzJ8/P6qrq3Nt6o9T16ZunKbUQsuyfPnyiIjo1KlTRETMmjUrPv/887zXcK+99oqePXvmraf+/ftHRUVFrs2RRx4ZK1asiNdeey3XZmNrpSnvZU2phZZj3bp1UVlZGZ9++mkMHjzYWmKLjB49Oo499tgNXnPrCQAAoGVq1dwFNOajjz6KdevW5f0DMSKioqIi3njjjWaqiua0ePHiiIhG10TdscWLF0eXLl3yjrdq1So6deqU12a33XbboI+6Yx07dozFixdvcpxN1ULLUVtbGxdccEEcfPDBsffee0fE+tewuLg4OnTokNe24evc2Gtcd2xjbVasWBGrV6+O6urqTb6XNaUWmt+cOXNi8ODB8dlnn0W7du1iypQp0bdv35g9e7a1xGaprKyMl156KV588cUNjnlvAgAAaJlaZIgOsLWMHj065s6dG3/5y1+auxS2Y3vuuWfMnj07li9fHn/605/i1FNPjWeeeaa5y2I7s3Dhwjj//PNj6tSpUVpa2tzlAAAA0EQtcjuXnXbaKYqKimLJkiV5zy9ZsiS6du3aTFXRnOpe942tia5du8bSpUvzjq9duzY+/vjjvDaN9VF/jFSb+sc3VQstw7nnnhsPP/xwPP300/H1r38993zXrl2jpqYmli1blte+4eu8pWulrKws2rRp06T3sqbUQvMrLi6O3XffPfbbb7+48sorY5999onf/e531hKbZdasWbF06dIYNGhQtGrVKlq1ahXPPPNMXHfdddGqVauoqKiwngAAAFqgFhmiFxcXx3777RdPPvlk7rna2tp48sknY/Dgwc1YGc1lt912i65du+atiRUrVsTMmTNza2Lw4MGxbNmymDVrVq7NU089FbW1tXHQQQfl2kyfPj0+//zzXJupU6fGnnvuGR07dsy1qT9OXZu6cZpSC80ry7I499xzY8qUKfHUU09tsIXPfvvtF61bt857DefPnx/vv/9+3nqaM2dO3g9mpk6dGmVlZdG3b99cm42tlaa8lzWlFlqe2traWLNmjbXEZjn88MNjzpw5MXv27Nyv/fffP0aOHJn7s/UEAADQAjX3J5umVFZWZiUlJdkdd9yRzZs3LzvzzDOzDh06ZIsXL27u0thGVq5cmb388svZyy+/nEVEdu2112Yvv/xy9t5772VZlmVXXXVV1qFDh+yBBx7IXn311WzYsGHZbrvtlq1evTrXx1FHHZXtu+++2cyZM7O//OUvWZ8+fbKTTz45d3zZsmVZRUVFdsopp2Rz587NKisrs7Zt22Y333xzrs1zzz2XtWrVKvvNb36Tvf7669m4ceOy1q1bZ3PmzMm1aUotNJ+zzz47Ky8vz6ZNm5YtWrQo92vVqlW5NmeddVbWs2fP7Kmnnsr++te/ZoMHD84GDx6cO7527dps7733zo444ohs9uzZ2eOPP57tvPPO2aWXXppr884772Rt27bNLr744uz111/Pxo8fnxUVFWWPP/54rk1T3ss2VQvN62c/+1n2zDPPZAsWLMheffXV7Gc/+1lWUFCQPfHEE1mWWUt8MYcddlh2/vnn5x5bTwAAAC1Piw3RsyzLrr/++qxnz55ZcXFxduCBB2YzZsxo7pLYhp5++uksIjb4deqpp2ZZlmW1tbXZZZddllVUVGQlJSXZ4Ycfns2fPz+vj7///e/ZySefnLVr1y4rKyvL/vVf/zVbuXJlXptXXnkl+/a3v52VlJRku+yyS3bVVVdtUMu9996b7bHHHllxcXHWr1+/7JFHHsk73pRaaD6NraOIyG6//fZcm9WrV2fnnHNO1rFjx6xt27bZ9773vWzRokV5/bz77rvZ0UcfnbVp0ybbaaedsv/3//5f9vnnn+e1efrpp7OBAwdmxcXFWe/evfPGqLOp97Km1ELzOf3007NevXplxcXF2c4775wdfvjhuQA9y6wlvpiGIbr1BAAA0PIUZFmWNc898AAAAAAA0LK1yD3RAQAAAACgJRCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgAQhOgAAAAAAJAjRAQAAAAAgQYgOAAAAAAAJQnSAbaygoCDuv//+Zq3hP/7jP2LgwIHNWsOmtIR5AgAAAGhIiA7wFXDRRRfFk08+2dxlAAAAAGx3WjV3AQBsXE1NTRQXF3+hPtq1axft2rXbShUBAAAAfHW4Ex2gCf70pz9F//79o02bNtG5c+cYMmRIfPrpp/Hiiy/GP/3TP8VOO+0U5eXlcdhhh8VLL7200b4uueSS2GOPPaJt27bRu3fvuOyyy+Lzzz/PHa/beuXWW2+N3XbbLUpLS2PixInRuXPnWLNmTV5fw4cPj1NOOWWT9TfczuW0006L4cOHx29+85vo1q1bdO7cOUaPHp1Xx8Y0tvVKhw4d4o477oiI9cH/ueeeG926dYvS0tLo1atXXHnllbm2b731Vhx66KFRWloaffv2jalTpzZpXAAAAIAvmzvRATZh0aJFcfLJJ8fVV18d3/ve92LlypXx7LPPRpZlsXLlyjj11FPj+uuvjyzL4pprroljjjkm3nrrrWjfvn2j/bVv3z7uuOOO6N69e8yZMydGjRoV7du3j5/+9Ke5Nm+//Xbcd9998ec//zmKioqiT58+cd5558WDDz4YI0aMiIiIpUuXxiOPPBJPPPHEFl3X008/Hd26dYunn3463n777TjppJNi4MCBMWrUqC3qr77rrrsuHnzwwbj33nujZ8+esXDhwli4cGFERNTW1sb3v//9qKioiJkzZ8by5cvjggsu+MJjAgAAAGwLQnSATVi0aFGsXbs2vv/970evXr0iIqJ///4REfHd7343r+0tt9wSHTp0iGeeeSaOO+64RvsbO3Zs7s+77rprXHTRRVFZWZkXotfU1MTEiRNj5513zj33gx/8IG6//fZciH7nnXdGz5494zvf+c4WXVfHjh3jhhtuiKKiothrr73i2GOPjSeffHKrhOjvv/9+9OnTJ7797W9HQUFBbt4iIv73f/833njjjfif//mf6N69e0REXHHFFXH00Ud/4XEBAAAAtjbbuQBswj777BOHH3549O/fP0aMGBG///3vo7q6OiIilixZEqNGjYo+ffpEeXl5lJWVxSeffBLvv/9+sr8//vGPcfDBB0fXrl2jXbt2MXbs2A3a9+rVKy9Aj4gYNWpUPPHEE/HBBx9ERMQdd9wRp512WhQUFGzRdfXr1y+Kiopyj7t16xZLly7dor4aOu2002L27Nmx5557xnnnnZd3t/zrr78ePXr0yAXoERGDBw/eKuMCAAAAbG1CdIBNKCoqiqlTp8Zjjz0Wffv2jeuvvz723HPPWLBgQZx66qkxe/bs+N3vfhfPP/98zJ49Ozp37hw1NTWN9lVVVRUjR46MY445Jh5++OF4+eWXY8yYMRu0/9rXvrbBufvuu2/ss88+MXHixJg1a1a89tprcdppp23xdbVu3TrvcUFBQdTW1jbp3IKCgsiyLO+5+vupDxo0KBYsWBD/9V//FatXr44TTzwxTjjhhC2uFQAAAKC52M4FoAkKCgri4IMPjoMPPjguv/zy6NWrV0yZMiWee+65uPHGG+OYY46JiIiFCxfGRx99lOzn+eefj169esWYMWNyz7333ntNruOMM86I3/72t/HBBx/EkCFDokePHlt+UV/AzjvvHIsWLco9fuutt2LVqlV5bcrKyuKkk06Kk046KU444YQ46qij4uOPP45vfvObsXDhwli0aFF069YtIiJmzJjxpdYPAAAA0FRCdIBNmDlzZjz55JNxxBFHRJcuXWLmzJnxt7/9Lb75zW9Gnz59YtKkSbH//vvHihUr4uKLL442bdok++rTp0+8//77UVlZGQcccEA88sgjMWXKlCbX8oMf/CAuuuii+P3vfx8TJ07cGpe3Rb773e/GDTfcEIMHD45169bFJZdckndn+7XXXhvdunWLfffdNwoLC2Py5MnRtWvX6NChQwwZMiT22GOPOPXUU+PXv/51rFixIu+HCgAAAAAtie1cADahrKwspk+fHsccc0zsscceMXbs2Ljmmmvi6KOPjj/84Q9RXV0dgwYNilNOOSXOO++86NKlS7KvoUOHxk9+8pM499xzY+DAgfH888/HZZdd1uRaysvL4/jjj4927drF8OHDt8LVbZlrrrkmevToEYccckgu2G/btm3uePv27ePqq6+O/fffPw444IB4991349FHH43CwsIoLCyMKVOmxOrVq+PAAw+MM844I371q18127UAAAAAbExB1nBTWwBatMMPPzz69esX1113XXOXAgAAALDDE6IDbCeqq6tj2rRpccIJJ8S8efNizz33bO6SAAAAAHZ49kQH2E7su+++UV1dHf/93/+9QYDer1+/5AeU3nzzzTFy5Mgmj/Pss8/G0UcfnTz+ySefNLkvAAAAgO2dO9EBdgDvvfdefP75540eq6ioiPbt2ze5r9WrV8cHH3yQPL777rtvdn0AAAAA2yshOgAAAAAAJBQ2dwEAAAAAANBSCdEBAAAAACBBiA4AAAAAAAlCdAAAAAAASBCiAwAAAABAghAdAAAAAAAShOgAAAAAAJAgRAcAAAAAgIT/DyJBla7Zxq84AAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Предполагаем, что ваш DataFrame df уже загружен\n", + "\n", + "# Выбираем столбцы для анализа\n", + "columns_to_check = ['work_year', 'salary', 'salary_in_usd']\n", + "\n", + "# Функция для подсчета выбросов\n", + "def count_outliers(df, columns):\n", + " outliers_count = {}\n", + " for col in columns:\n", + " # Проверяем, чтобы данные были числовыми\n", + " if not pd.api.types.is_numeric_dtype(df[col]):\n", + " print(f\"Предупреждение: столбец '{col}' не числовой. Пропускаем.\")\n", + " continue\n", + " \n", + " Q1 = df[col].quantile(0.25)\n", + " Q3 = df[col].quantile(0.75)\n", + " IQR = Q3 - Q1\n", + " lower_bound = Q1 - 1.5 * IQR\n", + " upper_bound = Q3 + 1.5 * IQR\n", + " \n", + " # Считаем количество выбросов\n", + " outliers = df[(df[col] < lower_bound) | (df[col] > upper_bound)]\n", + " outliers_count[col] = len(outliers)\n", + " \n", + " return outliers_count\n", + "\n", + "# Подсчитываем выбросы\n", + "outliers_count = count_outliers(df, columns_to_check)\n", + "\n", + "# Выводим количество выбросов для каждого столбца\n", + "for col, count in outliers_count.items():\n", + " print(f\"Количество выбросов в столбце '{col}': {count}\")\n", + "\n", + "# Создаем диаграммы размахов\n", + "plt.figure(figsize=(15, 10))\n", + "for i, col in enumerate(columns_to_check, 1):\n", + " plt.subplot(2, 2, i)\n", + " # Проверяем, чтобы данные были числовыми для построения графика\n", + " if pd.api.types.is_numeric_dtype(df[col]):\n", + " sns.boxplot(x=df[col])\n", + " plt.title(f'Box Plot of {col}')\n", + " else:\n", + " print(f\"Предупреждение: столбец '{col}' не числовой и не может быть представлен на графике.\")\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "В столбцах присутствуют выбросы." + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Количество выбросов в столбце 'work_year': 76\n", + "Количество выбросов в столбце 'salary': 113\n", + "Количество выбросов в столбце 'salary_in_usd': 63\n", + "Количество удаленных строк: 208\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Предполагаем, что ваш DataFrame df уже загружен\n", + "\n", + "# Выбираем столбцы для анализа\n", + "columns_to_check = ['work_year', 'salary', 'salary_in_usd']\n", + "\n", + "# Функция для подсчета выбросов\n", + "def count_outliers(df, columns):\n", + " outliers_count = {}\n", + " for col in columns:\n", + " Q1 = df[col].quantile(0.25)\n", + " Q3 = df[col].quantile(0.75)\n", + " IQR = Q3 - Q1\n", + " lower_bound = Q1 - 1.5 * IQR\n", + " upper_bound = Q3 + 1.5 * IQR\n", + " \n", + " # Считаем количество выбросов\n", + " outliers = df[(df[col] < lower_bound) | (df[col] > upper_bound)]\n", + " outliers_count[col] = len(outliers)\n", + " \n", + " return outliers_count\n", + "\n", + "# Подсчитываем выбросы\n", + "outliers_count = count_outliers(df, columns_to_check)\n", + "\n", + "# Выводим количество выбросов для каждого столбца\n", + "for col, count in outliers_count.items():\n", + " print(f\"Количество выбросов в столбце '{col}': {count}\")\n", + "\n", + "# Выбираем столбцы для очистки\n", + "columns_to_clean = ['work_year', 'salary', 'salary_in_usd']\n", + "\n", + "# Функция для удаления выбросов\n", + "def remove_outliers(df, columns):\n", + " for col in columns:\n", + " Q1 = df[col].quantile(0.25)\n", + " Q3 = df[col].quantile(0.75)\n", + " IQR = Q3 - Q1\n", + " lower_bound = Q1 - 1.5 * IQR\n", + " upper_bound = Q3 + 1.5 * IQR\n", + " \n", + " # Удаляем строки, содержащие выбросы\n", + " df = df[(df[col] >= lower_bound) & (df[col] <= upper_bound)]\n", + " \n", + " return df\n", + "\n", + "# Удаляем выбросы\n", + "df_cleaned = remove_outliers(df, columns_to_clean)\n", + "\n", + "# Выводим количество удаленных строк\n", + "print(f\"Количество удаленных строк: {len(df) - len(df_cleaned)}\")\n", + "\n", + "# Создаем диаграммы размаха для очищенных данных\n", + "plt.figure(figsize=(15, 6))\n", + "\n", + "# Создаем подграфики для каждой переменной\n", + "plt.subplot(1, 3, 1) # Изменено на 1 строку и 3 столбца\n", + "sns.boxplot(x=df_cleaned['work_year'])\n", + "plt.title('Box Plot of Work Year (Cleaned)')\n", + "plt.xlabel('Work Year')\n", + "\n", + "plt.subplot(1, 3, 2) # Изменено на 1 строку и 3 столбца\n", + "sns.boxplot(x=df_cleaned['salary'])\n", + "plt.title('Box Plot of Salary (Cleaned)')\n", + "plt.xlabel('Salary')\n", + "\n", + "plt.subplot(1, 3, 3) # Новая диаграмма для salary_in_usd\n", + "sns.boxplot(x=df_cleaned['salary_in_usd'])\n", + "plt.title('Box Plot of Salary in USD (Cleaned)')\n", + "plt.xlabel('Salary in USD')\n", + "\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "# Сохраняем очищенный датасет\n", + "df_cleaned.to_csv(\".//static//csv//ds_salaries.csv\", index=False)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Выбросов стало меньше.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Количество пропущенных значений в каждом столбце:\n", + "work_year 0\n", + "experience_level 0\n", + "employment_type 0\n", + "job_title 0\n", + "salary 0\n", + "salary_currency 0\n", + "salary_in_usd 0\n", + "employee_residence 0\n", + "remote_ratio 0\n", + "company_location 0\n", + "company_size 0\n", + "dtype: int64\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Проверка на пропущенные значения\n", + "missing_values = df.isnull().sum()\n", + "\n", + "# Вывод результатов\n", + "print(\"Количество пропущенных значений в каждом столбце:\")\n", + "print(missing_values)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Пропущенные значения отсутствуют. Переходим к созданию выборок.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Размер обучающей выборки: (2253, 10) (2253,)\n", + "Размер контрольной выборки: (751, 10) (751,)\n", + "Размер тестовой выборки: (751, 10) (751,)\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Разделение на признаки (X) и целевую переменную (y)\n", + "X = df.drop(columns=['salary_in_usd'])\n", + "y = df['salary_in_usd']\n", + "\n", + "# Разбиение на обучающую и остальную выборку (60% обучающая, 40% остальная)\n", + "X_train, X_rem, y_train, y_rem = train_test_split(X, y, train_size=0.6, random_state=42)\n", + "\n", + "# Разбиение остальной выборки на контрольную и тестовую (50% контрольная, 50% тестовая)\n", + "X_valid, X_test, y_valid, y_test = train_test_split(X_rem, y_rem, test_size=0.5, random_state=42)\n", + "\n", + "# Вывод размеров выборок\n", + "print(\"Размер обучающей выборки:\", X_train.shape, y_train.shape)\n", + "print(\"Размер контрольной выборки:\", X_valid.shape, y_valid.shape)\n", + "print(\"Размер тестовой выборки:\", X_test.shape, y_test.shape)" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Анализ сбалансированности выборки:\n", + "\n", + "Обучающая выборка:\n", + "count 2253.000000\n", + "mean 137387.371505\n", + "std 62741.721382\n", + "min 5132.000000\n", + "25% 95000.000000\n", + "50% 135000.000000\n", + "75% 177000.000000\n", + "max 450000.000000\n", + "Name: salary_in_usd, dtype: float64\n", + "\n", + "Контрольная выборка:\n", + "count 751.000000\n", + "mean 138156.014647\n", + "std 64747.578329\n", + "min 5409.000000\n", + "25% 95000.000000\n", + "50% 132000.000000\n", + "75% 175000.000000\n", + "max 430967.000000\n", + "Name: salary_in_usd, dtype: float64\n", + "\n", + "Тестовая выборка:\n", + "count 751.00000\n", + "mean 137533.82024\n", + "std 62357.85690\n", + "min 5409.00000\n", + "25% 97600.00000\n", + "50% 133300.00000\n", + "75% 174750.00000\n", + "max 423834.00000\n", + "Name: salary_in_usd, dtype: float64\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "from sklearn.model_selection import train_test_split\n", + "\n", + "# Разделение на признаки (X) и целевую переменную (y)\n", + "X = df.drop(columns=['salary_in_usd'])\n", + "y = df['salary_in_usd']\n", + "\n", + "# Разбиение на обучающую и остальную выборку (60% обучающая, 40% остальная)\n", + "X_train, X_rem, y_train, y_rem = train_test_split(X, y, train_size=0.6, random_state=42)\n", + "\n", + "# Разбиение остальной выборки на контрольную и тестовую (50% контрольная, 50% тестовая)\n", + "X_valid, X_test, y_valid, y_test = train_test_split(X_rem, y_rem, test_size=0.5, random_state=42)\n", + "\n", + "# Функция для анализа сбалансированности выборки\n", + "def analyze_balance(y_train, y_valid, y_test):\n", + " print(\"Анализ сбалансированности выборки:\")\n", + " \n", + " # Описание для обучающей выборки\n", + " print(\"\\nОбучающая выборка:\")\n", + " print(y_train.describe())\n", + " \n", + " # Описание для контрольной выборки\n", + " print(\"\\nКонтрольная выборка:\")\n", + " print(y_valid.describe())\n", + " \n", + " # Описание для тестовой выборки\n", + " print(\"\\nТестовая выборка:\")\n", + " print(y_test.describe())\n", + "\n", + "# Анализ сбалансированности выборки\n", + "analyze_balance(y_train, y_valid, y_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 80, + "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", + "# Объедините выборки в один DataFrame для визуализации\n", + "data = pd.concat([y_train, y_valid, y_test], axis=1)\n", + "data.columns = ['train', 'valid', 'test']\n", + "\n", + "# Визуализация\n", + "plt.figure(figsize=(10, 6))\n", + "sns.boxplot(data=data)\n", + "plt.title('Сравнение распределений зарплат')\n", + "plt.ylabel('Salary in USD')\n", + "plt.xticks(ticks=[0, 1, 2], labels=['Обучающая', 'Контрольная', 'Тестовая'])\n", "plt.show()" ] }