athletes-analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c50f1f9f",
   "metadata": {},
   "source": [
    "Import required modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4f5a6747",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cae0dc64",
   "metadata": {},
   "source": [
    "Create variable to store path to "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3f28e10d",
   "metadata": {},
   "outputs": [],
   "source": [
    "path_to_excel_file = 'Athletes.xlsx'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a472c4d3",
   "metadata": {},
   "source": [
    "Read excel file with pandas:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "37b4a715",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_excel(path_to_excel_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eda76d19",
   "metadata": {},
   "source": [
    "Show first 5 Athletes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "decf1f06",
   "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>Name</th>\n",
       "      <th>NOC</th>\n",
       "      <th>Discipline</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AALERUD Katrine</td>\n",
       "      <td>Norway</td>\n",
       "      <td>Cycling Road</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ABAD Nestor</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Artistic Gymnastics</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ABAGNALE Giovanni</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Rowing</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ABALDE Alberto</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Basketball</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ABALDE Tamara</td>\n",
       "      <td>Spain</td>\n",
       "      <td>Basketball</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                Name     NOC           Discipline\n",
       "0    AALERUD Katrine  Norway         Cycling Road\n",
       "1        ABAD Nestor   Spain  Artistic Gymnastics\n",
       "2  ABAGNALE Giovanni   Italy               Rowing\n",
       "3     ABALDE Alberto   Spain           Basketball\n",
       "4      ABALDE Tamara   Spain           Basketball"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  }
 ],
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   "display_name": "Python 3 (ipykernel)",
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