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- {
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Importing data"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>sepal-length</th>\n",
- " <th>sepal-width</th>\n",
- " <th>petal-length</th>\n",
- " <th>petal-width</th>\n",
- " <th>class</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>5.1</td>\n",
- " <td>3.5</td>\n",
- " <td>1.4</td>\n",
- " <td>0.2</td>\n",
- " <td>Iris-setosa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>4.9</td>\n",
- " <td>3.0</td>\n",
- " <td>1.4</td>\n",
- " <td>0.2</td>\n",
- " <td>Iris-setosa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>4.7</td>\n",
- " <td>3.2</td>\n",
- " <td>1.3</td>\n",
- " <td>0.2</td>\n",
- " <td>Iris-setosa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>4.6</td>\n",
- " <td>3.1</td>\n",
- " <td>1.5</td>\n",
- " <td>0.2</td>\n",
- " <td>Iris-setosa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>5.0</td>\n",
- " <td>3.6</td>\n",
- " <td>1.4</td>\n",
- " <td>0.2</td>\n",
- " <td>Iris-setosa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>5</th>\n",
- " <td>5.4</td>\n",
- " <td>3.9</td>\n",
- " <td>1.7</td>\n",
- " <td>0.4</td>\n",
- " <td>Iris-setosa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>6</th>\n",
- " <td>4.6</td>\n",
- " <td>3.4</td>\n",
- " <td>1.4</td>\n",
- " <td>0.3</td>\n",
- " <td>Iris-setosa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>7</th>\n",
- " <td>5.0</td>\n",
- " <td>3.4</td>\n",
- " <td>1.5</td>\n",
- " <td>0.2</td>\n",
- " <td>Iris-setosa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>8</th>\n",
- " <td>4.4</td>\n",
- " <td>2.9</td>\n",
- " <td>1.4</td>\n",
- " <td>0.2</td>\n",
- " <td>Iris-setosa</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>9</th>\n",
- " <td>4.9</td>\n",
- " <td>3.1</td>\n",
- " <td>1.5</td>\n",
- " <td>0.1</td>\n",
- " <td>Iris-setosa</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " sepal-length sepal-width petal-length petal-width class\n",
- "0 5.1 3.5 1.4 0.2 Iris-setosa\n",
- "1 4.9 3.0 1.4 0.2 Iris-setosa\n",
- "2 4.7 3.2 1.3 0.2 Iris-setosa\n",
- "3 4.6 3.1 1.5 0.2 Iris-setosa\n",
- "4 5.0 3.6 1.4 0.2 Iris-setosa\n",
- "5 5.4 3.9 1.7 0.4 Iris-setosa\n",
- "6 4.6 3.4 1.4 0.3 Iris-setosa\n",
- "7 5.0 3.4 1.5 0.2 Iris-setosa\n",
- "8 4.4 2.9 1.4 0.2 Iris-setosa\n",
- "9 4.9 3.1 1.5 0.1 Iris-setosa"
- ]
- },
- "execution_count": 2,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "from pandas import read_csv\n",
- "url = \"https://raw.githubusercontent.com/jbrownlee/Datasets/master/iris.csv\"\n",
- "names = ['sepal-length', 'sepal-width', 'petal-length', 'petal-width', 'class']\n",
- "dataset = read_csv(url, names=names)\n",
- "dataset.head(10)"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**This is the part of code you have to solve and deliver as a part of your report.**\n",
- "\n",
- "# Statistical Summary\n",
- "For this section you can create your own functions or also you can writte down the code as chunks to compute:\n",
- "- Mean\n",
- "- Number of elements per properti\n",
- "- Standard deviation "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Plots and data visualization\n",
- "Make the next plots for data exploration and visulization:\n",
- "- Box and Whiskers plot\n",
- "- histogram plot\n",
- "- scatter plot for sepal length and width\n",
- "- scatter plot for petal length and width"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.11.4"
- },
- "orig_nbformat": 4
- },
- "nbformat": 4,
- "nbformat_minor": 2
- }
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