{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Case 01 ##\n", "\n", "Group of countries according to cultures.\n", "\n", "The Hofstede model allows characterizing the culture supported on studies on national values.\n", "\n", "Those values are:\n", "\n", "* PDI - Power distance\n", "* IDV - Individualism\n", "* MAS - Motivation - Aspiration\n", "* UAI - Uncertainty avoidance\n", "* LTOWVS - Long Term Orientation\n", "* IVR - Indulgencs vs. Restraing\n", "\n", "This study identifies the value of a specific country. Is it possible identifying groups of countries with similar cultures?\n" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "from sklearn.cluster import KMeans\n" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [], "source": [ "file='https://raw.githubusercontent.com/masterfloss/data/main/culture2015.csv'\n", "df=pd.read_csv(file, sep=\";\")" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "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": "3.7.0" } }, "nbformat": 4, "nbformat_minor": 2 }