diff --git a/exercicios/para-casa/bdsemana13.ipynb b/exercicios/para-casa/bdsemana13.ipynb new file mode 100644 index 0000000..3eda0c1 --- /dev/null +++ b/exercicios/para-casa/bdsemana13.ipynb @@ -0,0 +1,102 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "code", + "source": [ + "import csv\n", + "import sqlite3\n" + ], + "metadata": { + "id": "yWS_Qz5kW7-v" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "for entrada in entradas:\n", + " print(entrada)" + ], + "metadata": { + "id": "tdcfXH55a-95" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "file = open(\"/content/drive/MyDrive/csv/data.csv\", encoding= 'UTF-8')\n", + "\n", + "conteudo = csv.reader(file)\n", + "\n", + "connection = sqlite3.connect(\"/content/drive/MyDrive/csv/data.csv\")\n", + "\n", + "cursor = connection.cursor()\n", + "\n", + "cursor.execute ('''CREATE TABLE IF NOT EXISTS Rank(\n", + "\n", + " Rank INT,\n", + " Time FLOAT,\n", + " Name VARCHAR,\n", + " Country VARCHAR,\n", + " Date of Birth DATE,\n", + " Place INT,\n", + " City VARCHAR,\n", + " Date DATE,\n", + " Gender VARCHAR,\n", + " Event VARCHAR\n", + "\n", + ")''')\n", + "\n", + "inserir_conteudo = \"INSERT INTO Rank (Rank,Time, Name, Country, Date of Birth, Place, City, Date, Gender, Event)VALUES()\"\n", + "\n", + "cursor.executemany(inserir_conteudo, conteudo)\n", + "\n", + "selecionar_tudo = \"SELECT * FROM Rank\"\n", + "entradas = cursor.execute(selecionar_tudo).fetchall()" + ], + "metadata": { + "id": "Ri_9cRFT9jpB" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "connection.commit()\n", + "connection.close()" + ], + "metadata": { + "id": "zyD57b4VbBGT" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "Wcjwpjs_9iUT" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file diff --git a/exercicios/para-casa/semana13dataset.ipynb b/exercicios/para-casa/semana13dataset.ipynb new file mode 100644 index 0000000..79e821e --- /dev/null +++ b/exercicios/para-casa/semana13dataset.ipynb @@ -0,0 +1,193 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "markdown", + "source": [ + "O Atletismo conta a história esportiva da humanidade no Planeta. É chamado de esporte-base, porque sua prática corresponde a movimentos naturais do ser humano: correr, saltar, lançar. A primeira competição esportiva de que se tem notícia foi uma corrida, nos Jogos de 776 A.C., na cidade de Olímpia, na Grécia, que deram origem às Olimpíadas. A prova, chamada pelos gregos de \"stadium\", tinha cerca de 200 metros e o vencedor, Coroebus, éconsiderado o primeiro campeão olímpico da história.\n", + "\n", + "É um esporte com provas de pista (corridas), de campo (saltos e lançamentos), provas combinadas, como decatlo e heptatlo (que reúnem provas de pista e de campo), o pedestrianismo (corridas de rua, como a maratona), corridas em campo (cross country), corridas em montanha, e marcha atlética.\n", + "\n", + "Pensando na grande popularidade do atletismo, o questionamento sobre as provas mais populares surgiu, especialmente nas categorias de pista e pedestrianismo. A partir disso, foi usado um dataset que traz dados dos jogos olímpicos e eventos de meia-maratona.\n", + "\n", + "\n", + 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)\n" + ], + "metadata": { + "id": "x-c3T53B03ye" + } + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt" + ], + "metadata": { + "id": "MEBz9GPeZ3xi" + }, + "execution_count": 56, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "from google.colab import drive\n", + "drive.mount('/content/drive')" + ], + "metadata": { + "id": "W83UCKW3c6Gl", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "6f9e65ee-775c-42b5-adca-92ccf6d7b52d" + }, + "execution_count": 41, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Mounted at /content/drive\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "df = pd.read_csv(\"/content/drive/MyDrive/csv/data.csv\", sep=\",\" , encoding= 'UTF-8')\n" + ], + "metadata": { + "id": "uofFoQmYgjWu" + }, + "execution_count": 44, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "caminho_arquivo =\"/content/drive/MyDrive/csv/data.csv\"\n", + "\n", + "df = pd.read_csv(caminho_arquivo, sep=\",\", encoding='utf-8')\n", + "\n", + "paises_unicos = df['Country'].nunique()\n", + "\n", + "print(f\"O número de países únicos na tabela é: {paises_unicos}\")" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "AA5RDrJOibwH", + "outputId": "ea299be6-346d-4be8-80b8-6b7f2a96f6ef" + }, + "execution_count": 78, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "O número de países únicos na tabela é: 106\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "caminho_arquivo =\"/content/drive/MyDrive/csv/data.csv\"\n", + "\n", + "# Carregar o arquivo CSV\n", + "df = pd.read_csv(\"/content/drive/MyDrive/csv/data.csv\", sep=\",\", encoding='utf-8')" + ], + "metadata": { + "id": "Va2lZ4MPl5bg" + }, + "execution_count": 54, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Caminho do arquivo CSV\n", + "caminho_arquivo = \"/content/drive/MyDrive/csv/data.csv\"\n", + "\n", + "# Carregar o arquivo CSV\n", + "df = pd.read_csv(\"/content/drive/MyDrive/csv/data.csv\", sep=\",\", encoding='utf-8')\n", + "\n", + "# Contar o número de atletas por evento esportivo\n", + "contagem_atletas_por_evento = df['Event'].value_counts().head(5)\n", + "\n", + "# Criar um gráfico de barras\n", + "plt.figure(figsize=(12, 6))\n", + "contagem_atletas_por_evento.plot(kind='bar')\n", + "plt.title(\"As 5 Provas de corrida com Maior Número de Atletas Competindo\")\n", + "plt.xlabel(\"Evento Esportivo\")\n", + "plt.ylabel(\"Número de Atletas\")\n", + "plt.xticks(rotation=45, ha=\"right\")\n", + "plt.show()" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 631 + }, + "id": "UjedzJLZrqwg", + "outputId": "ad7409bf-1eb6-4504-bf88-c7d02ed8be56" + }, + "execution_count": 80, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "markdown", + "source": [ + "As 5 provas com mais atletas participantes 100m, 200m, 400m, meia maratona e 1500m. A presença significativa de atletas nas provas de 100 metros, 200 metros, 400 metros, meia maratona e 1500 metros reflete a diversidade de talentos e interesses no mundo do atletismo.\n", + "\n", + "A análise pode ajudar a orientar a tomada de decisões estratégicas relacionadas ao desenvolvimento esportivo. Isso pode incluir que empresas e patrocinadores em potencial tomem decisões sobre quais esportes promover, quais parcerias buscar e como direcionar esforços de marketing.\n", + "\n", + "Além disso conhecer os esportes mais populares também pode ser útil para envolver a comunidade. Os organizadores de eventos esportivos e programas de base podem usar essas informações para criar atividades que atraiam mais participantes.\n", + "\n" + ], + "metadata": { + "id": "be_hYZ1y5Gmf" + } + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "PcU1SYPe5Z8m" + }, + "execution_count": null, + "outputs": [] + } + ] +} \ No newline at end of file