population_by_education.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1582e33f-6a4c-4246-97f0-60436b112821",
   "metadata": {},
   "source": [
    "# Education Levels by Population in Europe"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ce6fd4d-3ab4-4034-8880-228749f43bd5",
   "metadata": {},
   "source": [
    "### European Population by Education Level Attainment, grouped by Sex and Country"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c919670-cdca-4d01-9a7a-1daad32014fd",
   "metadata": {},
   "source": [
    "Description: Data containing education attainment level, also grouped by age group, sex and geotime in Europe. Source is https://ec.europa.eu/eurostat/data/database (official European Data Source). Data is downloaded from the source, documented and uploaded to Kaggle. Dataset was taken from Kaggle and sourced from https://www.kaggle.com/gpreda/population-by-education-level-in-europe"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9742d63e-e272-49e3-8e5d-71e7acdd5e90",
   "metadata": {},
   "source": [
    "### Summary of data attributes"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a35395ef-df3f-4726-9ee1-8adb5053f4c4",
   "metadata": {},
   "source": [
    "Two datasets are provided, one tab seperated (TSV) and one comma separated (CSV). The TSV file contains the raw data. This dataset was used for this exercise in order to show case data cleaning skills. The CSV file has already been cleaned and transformed by the author of the dataset, Gabriel Preda. \n",
    "\n",
    "The TSV file contains 43 columns and 16052 rows. The first 5 columns (unit, sex, age, isced11, geotime) represent social demographic variables, whereas the last 38 columns represent different years (1983 to 2020). These year columns represent temporal information and will need to be pivoted into one column with their asscoiated values in seperate column. \n",
    "\n",
    "Below is a summary of all of the social dempgraphic columns:\n",
    "\n",
    "1. unit: contains only one unique value (THS) and was probably used as an ID column for a larger dataset\n",
    "2. sex: contans three unique values - M, F and T. M is for male, F is for Female and T is the combined total of both. \n",
    "3. age: contains 29 unique values which represent different age groups. For example, Y15-19 represents all people between the ages of 15 and 19. The yongest age is 15 and the oldest age is 69.\n",
    "4. isced11: contains the level of education attained. There are 5 unique values in this column which include ED0-2 (primary to secondary education only), ED3-4 (upper seconday to post secondary or non-tertiary education), ED5-8 (Bachelors to Doctoral education), NRP (No schooling) and TOTAL (total number of people with some form of schooling).\n",
    "5. grography: contains the EU country codes for each individual european country. There are 39 unique values. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "25c2715c-9c54-47fb-9049-e180b75011d1",
   "metadata": {},
   "source": [
    "### Preliminary plan for data exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "facd0184-9d81-425e-94b8-65ceb6cb274d",
   "metadata": {},
   "source": [
    "This dataset contains a large amount of information with many dfferent areas to explore. It has information that can be used to identify similarities or differences between sexes, countries, age groups and years for levels of education attainment. \n",
    "\n",
    "For this project, I will narrow my focus on identifying any differences between countries over time for level of education attainment. I will first examine level of education over most generations from the ages 15 to 74 (represened by Y15-74 in the age column) across different countries. I will then pick a country wich harbours an interesting temporal pattern and look into detail how generations have differed in education level over time. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d04b325-6c10-47f9-9adb-d56cc303631f",
   "metadata": {},
   "source": [
    "### Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c5041115-2c02-4155-a638-73a23fe79dc3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import itertools\n",
    "\n",
    "from matplotlib import pyplot\n",
    "import numpy\n",
    "from scipy.stats import mannwhitneyu"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd9561e9-2449-4bc6-9c63-f3261f865413",
   "metadata": {},
   "source": [
    "### Data Cleaning and Feature Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2a0da173-4cbb-4c08-818f-380c0942a1c3",
   "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>unit</th>\n",
       "      <th>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>isced11</th>\n",
       "      <th>geotime</th>\n",
       "      <th>2020</th>\n",
       "      <th>2019</th>\n",
       "      <th>2018</th>\n",
       "      <th>2017</th>\n",
       "      <th>2016</th>\n",
       "      <th>...</th>\n",
       "      <th>1992</th>\n",
       "      <th>1991</th>\n",
       "      <th>1990</th>\n",
       "      <th>1989</th>\n",
       "      <th>1988</th>\n",
       "      <th>1987</th>\n",
       "      <th>1986</th>\n",
       "      <th>1985</th>\n",
       "      <th>1984</th>\n",
       "      <th>1983</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>THS</td>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>AT</td>\n",
       "      <td>149.8</td>\n",
       "      <td>149.6</td>\n",
       "      <td>149.2</td>\n",
       "      <td>151.2</td>\n",
       "      <td>155.0</td>\n",
       "      <td>...</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>THS</td>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>BE</td>\n",
       "      <td>247.9</td>\n",
       "      <td>243.4</td>\n",
       "      <td>243.7</td>\n",
       "      <td>238.6 b</td>\n",
       "      <td>224.1</td>\n",
       "      <td>...</td>\n",
       "      <td>213.8 b</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>THS</td>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>BG</td>\n",
       "      <td>128.4</td>\n",
       "      <td>124.2</td>\n",
       "      <td>120.6</td>\n",
       "      <td>127.4</td>\n",
       "      <td>126.3</td>\n",
       "      <td>...</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>THS</td>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>CH</td>\n",
       "      <td>168.2</td>\n",
       "      <td>166.3</td>\n",
       "      <td>174.6</td>\n",
       "      <td>172.7</td>\n",
       "      <td>174.3</td>\n",
       "      <td>...</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>THS</td>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>CY</td>\n",
       "      <td>16.8</td>\n",
       "      <td>17.5</td>\n",
       "      <td>16.9</td>\n",
       "      <td>17.3</td>\n",
       "      <td>17.5</td>\n",
       "      <td>...</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  unit sex     age isced11 geotime    2020    2019    2018     2017    2016  \\\n",
       "0  THS   F  Y15-19   ED0-2      AT  149.8   149.6   149.2    151.2   155.0    \n",
       "1  THS   F  Y15-19   ED0-2      BE  247.9   243.4   243.7   238.6 b  224.1    \n",
       "2  THS   F  Y15-19   ED0-2      BG  128.4   124.2   120.6    127.4   126.3    \n",
       "3  THS   F  Y15-19   ED0-2      CH  168.2   166.3   174.6    172.7   174.3    \n",
       "4  THS   F  Y15-19   ED0-2      CY   16.8    17.5    16.9     17.3    17.5    \n",
       "\n",
       "   ...     1992 1991 1990 1989 1988 1987 1986 1985 1984 1983  \n",
       "0  ...       :    :    :    :    :    :    :    :    :     :  \n",
       "1  ...  213.8 b   :    :    :    :    :    :    :    :     :  \n",
       "2  ...       :    :    :    :    :    :    :    :    :     :  \n",
       "3  ...       :    :    :    :    :    :    :    :    :     :  \n",
       "4  ...       :    :    :    :    :    :    :    :    :     :  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# read in data as tab and comma seperated values\n",
    "df = pd.read_csv('lfsa_pgaed.tsv', sep='\\t|,', engine='python')\n",
    "\n",
    "# adjust problematic variable names harboring escape characters and spaces\n",
    "df.columns = df.columns.str.replace('\\\\', '', regex=True).str.strip()\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa93ffe1-ec14-4d5c-8d75-3f1437f5fba8",
   "metadata": {},
   "source": [
    "There are 16052 rows × 43 columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2d80806c-d8cf-427f-9514-9fa268652ad2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "unit        1\n",
       "sex         3\n",
       "age        29\n",
       "isced11     5\n",
       "geotime    39\n",
       "dtype: int64"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get number of unique values for first 5 columns\n",
    "df.apply(lambda col: col.nunique()).head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d1423c3b-8d36-45f0-ab8b-67a7ce3b3e78",
   "metadata": {},
   "source": [
    "The unit column only has one value and appears redundant. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "12fa6516-71df-4fea-ab36-4d7e00b7eafb",
   "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>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>isced11</th>\n",
       "      <th>geotime</th>\n",
       "      <th>2020</th>\n",
       "      <th>2019</th>\n",
       "      <th>2018</th>\n",
       "      <th>2017</th>\n",
       "      <th>2016</th>\n",
       "      <th>2015</th>\n",
       "      <th>...</th>\n",
       "      <th>1992</th>\n",
       "      <th>1991</th>\n",
       "      <th>1990</th>\n",
       "      <th>1989</th>\n",
       "      <th>1988</th>\n",
       "      <th>1987</th>\n",
       "      <th>1986</th>\n",
       "      <th>1985</th>\n",
       "      <th>1984</th>\n",
       "      <th>1983</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>AT</td>\n",
       "      <td>149.8</td>\n",
       "      <td>149.6</td>\n",
       "      <td>149.2</td>\n",
       "      <td>151.2</td>\n",
       "      <td>155.0</td>\n",
       "      <td>157.1</td>\n",
       "      <td>...</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>BE</td>\n",
       "      <td>247.9</td>\n",
       "      <td>243.4</td>\n",
       "      <td>243.7</td>\n",
       "      <td>238.6 b</td>\n",
       "      <td>224.1</td>\n",
       "      <td>223.0</td>\n",
       "      <td>...</td>\n",
       "      <td>213.8 b</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>BG</td>\n",
       "      <td>128.4</td>\n",
       "      <td>124.2</td>\n",
       "      <td>120.6</td>\n",
       "      <td>127.4</td>\n",
       "      <td>126.3</td>\n",
       "      <td>126.8</td>\n",
       "      <td>...</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>CH</td>\n",
       "      <td>168.2</td>\n",
       "      <td>166.3</td>\n",
       "      <td>174.6</td>\n",
       "      <td>172.7</td>\n",
       "      <td>174.3</td>\n",
       "      <td>174.8</td>\n",
       "      <td>...</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>CY</td>\n",
       "      <td>16.8</td>\n",
       "      <td>17.5</td>\n",
       "      <td>16.9</td>\n",
       "      <td>17.3</td>\n",
       "      <td>17.5</td>\n",
       "      <td>18.8</td>\n",
       "      <td>...</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "      <td>:</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 42 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  sex     age isced11 geotime    2020    2019    2018     2017    2016  \\\n",
       "0   F  Y15-19   ED0-2      AT  149.8   149.6   149.2    151.2   155.0    \n",
       "1   F  Y15-19   ED0-2      BE  247.9   243.4   243.7   238.6 b  224.1    \n",
       "2   F  Y15-19   ED0-2      BG  128.4   124.2   120.6    127.4   126.3    \n",
       "3   F  Y15-19   ED0-2      CH  168.2   166.3   174.6    172.7   174.3    \n",
       "4   F  Y15-19   ED0-2      CY   16.8    17.5    16.9     17.3    17.5    \n",
       "\n",
       "     2015  ...     1992 1991 1990 1989 1988 1987 1986 1985 1984 1983  \n",
       "0  157.1   ...       :    :    :    :    :    :    :    :    :     :  \n",
       "1  223.0   ...  213.8 b   :    :    :    :    :    :    :    :     :  \n",
       "2  126.8   ...       :    :    :    :    :    :    :    :    :     :  \n",
       "3  174.8   ...       :    :    :    :    :    :    :    :    :     :  \n",
       "4   18.8   ...       :    :    :    :    :    :    :    :    :     :  \n",
       "\n",
       "[5 rows x 42 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Remove unit as it is redundant having only 1 value for all rows\n",
    "df = df.iloc[:,1:]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f9ff1e3b-c5a5-4063-80eb-560ece480490",
   "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>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>isced11</th>\n",
       "      <th>geotime</th>\n",
       "      <th>year</th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>AT</td>\n",
       "      <td>2020</td>\n",
       "      <td>149.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>BE</td>\n",
       "      <td>2020</td>\n",
       "      <td>247.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>BG</td>\n",
       "      <td>2020</td>\n",
       "      <td>128.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>CH</td>\n",
       "      <td>2020</td>\n",
       "      <td>168.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>ED0-2</td>\n",
       "      <td>CY</td>\n",
       "      <td>2020</td>\n",
       "      <td>16.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  sex     age isced11 geotime  year   value\n",
       "0   F  Y15-19   ED0-2      AT  2020  149.8 \n",
       "1   F  Y15-19   ED0-2      BE  2020  247.9 \n",
       "2   F  Y15-19   ED0-2      BG  2020  128.4 \n",
       "3   F  Y15-19   ED0-2      CH  2020  168.2 \n",
       "4   F  Y15-19   ED0-2      CY  2020   16.8 "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Place all years into one column and their values into another column\n",
    "df = df.melt(['sex','age','isced11','geotime'])\n",
    "df.rename(columns={'variable':'year'}, inplace=True)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "412b8f6b-9e0b-44c6-a850-926a9b4a0d03",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sex :  ['F' 'M' 'T'] \n",
      "\n",
      "age :  ['Y15-19' 'Y15-24' 'Y15-39' 'Y15-59' 'Y15-64' 'Y15-74' 'Y20-24' 'Y20-64'\n",
      " 'Y25-29' 'Y25-39' 'Y25-49' 'Y25-54' 'Y25-59' 'Y25-64' 'Y25-74' 'Y30-34'\n",
      " 'Y35-39' 'Y40-44' 'Y40-59' 'Y40-64' 'Y45-49' 'Y50-54' 'Y50-59' 'Y50-64'\n",
      " 'Y50-74' 'Y55-59' 'Y55-64' 'Y60-64' 'Y65-69'] \n",
      "\n",
      "isced11 :  ['ED0-2' 'ED3_4' 'ED5-8' 'NRP' 'TOTAL'] \n",
      "\n",
      "geotime :  ['AT' 'BE' 'BG' 'CH' 'CY' 'CZ' 'DE' 'DK' 'EA19' 'EE' 'EL' 'ES' 'EU15'\n",
      " 'EU27_2020' 'EU28' 'FI' 'FR' 'HR' 'HU' 'IE' 'IS' 'IT' 'LT' 'LU' 'LV' 'ME'\n",
      " 'MK' 'MT' 'NL' 'NO' 'PL' 'PT' 'RO' 'RS' 'SE' 'SI' 'SK' 'TR' 'UK'] \n",
      "\n",
      "year :  ['2020' '2019' '2018' '2017' '2016' '2015' '2014' '2013' '2012' '2011'\n",
      " '2010' '2009' '2008' '2007' '2006' '2005' '2004' '2003' '2002' '2001'\n",
      " '2000' '1999' '1998' '1997' '1996' '1995' '1994' '1993' '1992' '1991'\n",
      " '1990' '1989' '1988' '1987' '1986' '1985' '1984' '1983'] \n",
      "\n"
     ]
    }
   ],
   "source": [
    "# get unique values for first 5 columns\n",
    "for i in range(5):\n",
    "    print(df.columns[i],': ', df.iloc[:,i].unique(), '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "675c341a-e44e-47de-a78a-b1c5e686f750",
   "metadata": {},
   "outputs": [],
   "source": [
    "# There appears to be some strange country codes such as EA19, EU15, EU27_2020 and EU28 which do not correspond to real countries\n",
    "# I will take these rows out \n",
    "for code in [\"EA19\", \"EU15\", \"EU27_2020\", \"EU28\"]:\n",
    "    df = df[df.geotime != code]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f3e3230b-411b-48e4-9b94-8034c53feb92",
   "metadata": {},
   "outputs": [],
   "source": [
    "# subset dataframe to remove NRP and TOTAl catergories\n",
    "df = df[df.isced11 != 'NRP']\n",
    "df = df[df.isced11 != 'TOTAL']\n",
    "\n",
    "# rename education categories to smplify them and make them more intuitive\n",
    "df.isced11 = df.isced11.replace(['ED0-2','ED3_4','ED5-8'], ['Primary School', 'High School', 'University'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c20ea922-14f4-46ca-8d8a-e96177835458",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Lets add a column with the country name that is asscoiated with the country code columns\n",
    "\n",
    "countries = {\"BE\":\"Belgium\", \"EL\":\"Greece\", \"LT\":\"Lithuania\", \"PT\":\"Portugal\", \"BG\":\"Bulgaria\", \"ES\":\"Spain\", \"LU\":\"Luxembourg\", \"RO\":\"Romania\", \n",
    "             \"CZ\":\"Czechia\", \"FR\":\"France\", \"HU\":\"Hungary\", \"SI\":\"Slovenia\", \"DK\":\"Denmark\", \"DE\":\"Germany\", \"HR\":\"Croatia\",\"MT\":\"Malta\", \n",
    "            \"SK\":\"Slovakia\",\"IT\":\"Italy\",\"NL\":\"Netherlands\",\"FI\":\"Finland\",\"EE\":\"Estonia\",\"CY\":\"Cyprus\",\"AT\":\"Austria\",\"SE\":\"Sweden\",\"IE\":\"Ireland\",\n",
    "            \"LV\":\"Latvia\",\"PL\":\"Poland\",\"IS\":\"Iceland\",\"NO\":\"Norway\",\"LI\":\"Lichtenstein\",\"CH\":\"Switserland\",\"UK\":\"United Kingdom\",\"ME\":\"Montenegro\",\n",
    "            \"MK\":\"North Macedonia\",\"AL\":\"Albaia\",\"RS\":\"Serbia\",\"TR\":\"Turkey\",\"BA\":\"Bosnia and Herzegovina\",\"XK\":\"Kosovo\",\"AM\":\"Armenia\",\"BY\":\"Belarus\",\n",
    "            \"GE\":\"Georgia\",\"AZ\":\"Azerbaijan\",\"MD\":\"Moldova\",\"UA\":\"Ukraine\", \"RU\":\"Russia\"}\n",
    "\n",
    "df['country'] = df['geotime'].map(countries)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b1bf9531-9059-47d9-a64e-9b06f46e2f3f",
   "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>sex</th>\n",
       "      <th>age</th>\n",
       "      <th>isced11</th>\n",
       "      <th>geotime</th>\n",
       "      <th>year</th>\n",
       "      <th>value</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>Primary School</td>\n",
       "      <td>AT</td>\n",
       "      <td>2020</td>\n",
       "      <td>149.8</td>\n",
       "      <td>Austria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>Primary School</td>\n",
       "      <td>BE</td>\n",
       "      <td>2020</td>\n",
       "      <td>247.9</td>\n",
       "      <td>Belgium</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>Primary School</td>\n",
       "      <td>BG</td>\n",
       "      <td>2020</td>\n",
       "      <td>128.4</td>\n",
       "      <td>Bulgaria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>Primary School</td>\n",
       "      <td>CH</td>\n",
       "      <td>2020</td>\n",
       "      <td>168.2</td>\n",
       "      <td>Switserland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-01-01</th>\n",
       "      <td>F</td>\n",
       "      <td>Y15-19</td>\n",
       "      <td>Primary School</td>\n",
       "      <td>CY</td>\n",
       "      <td>2020</td>\n",
       "      <td>16.8</td>\n",
       "      <td>Cyprus</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           sex     age         isced11 geotime  year   value      country\n",
       "year                                                                     \n",
       "2020-01-01   F  Y15-19  Primary School      AT  2020  149.8       Austria\n",
       "2020-01-01   F  Y15-19  Primary School      BE  2020  247.9       Belgium\n",
       "2020-01-01   F  Y15-19  Primary School      BG  2020  128.4      Bulgaria\n",
       "2020-01-01   F  Y15-19  Primary School      CH  2020  168.2   Switserland\n",
       "2020-01-01   F  Y15-19  Primary School      CY  2020   16.8        Cyprus"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# change index to yeartime object using the year variable\n",
    "df.index = pd.to_datetime(df['year'])\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7d46f287-68ab-4900-963b-4af7d0278092",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sex        object\n",
       "age        object\n",
       "isced11    object\n",
       "geotime    object\n",
       "year       object\n",
       "value      object\n",
       "country    object\n",
       "dtype: object"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the datatypes if all columns\n",
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "364dfe0c-7304-457b-83d0-07d82c6d3f1f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Change datatypes to catgrorical \n",
    "for col in ['sex', 'isced11', 'geotime', 'year', 'age']: df[col] = df[col].astype('category')\n",
    "    \n",
    "# The value column has some strange letters in there. Remove the letters and convert to numerical\n",
    "df['value'] = df['value'].str.replace(r'\\D', '',regex=True)\n",
    "df['value'] = pd.to_numeric(df['value'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "a6591d7f-299b-43ae-bd53-3d1512a6a759",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sex        category\n",
       "age        category\n",
       "isced11    category\n",
       "geotime    category\n",
       "year       category\n",
       "value       float64\n",
       "country      object\n",
       "dtype: object"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "dafe2dec-3186-4faa-84cd-01f663e3ab2d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sex        False\n",
       "age        False\n",
       "isced11    False\n",
       "geotime    False\n",
       "year       False\n",
       "value       True\n",
       "country    False\n",
       "dtype: bool"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# lets look for null values\n",
    "df.isnull().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d4cc711a-3e43-4d06-8cca-be373edd4dc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "38"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# How percentage of null values in value\n",
    "round((df['value'].isna().sum() / len(df.index))*100)\n",
    "# We have a lot of null values - almost 40%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "4a45ac47-4f82-4aa8-9051-9a8aeacb6c88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# which groups have most of the null values?\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# year might be a good candiyear\n",
    "year = df.value.isnull().groupby([df['year']]).sum().astype(int).reset_index(name='count')\n",
    "plt.figure(figsize=(20, 7))\n",
    "plt.plot(year['year'], year['count']);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "187949f0-86a9-4e5d-afab-e981723e72ba",
   "metadata": {},
   "outputs": [],
   "source": [
    "# lets subset data so that we only have data for everything after the year 2000\n",
    "mask = df.index > '1999-12-31'\n",
    "df = df.loc[mask]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "d174ed9b-7e0e-42ad-a0f7-b64d9b2c2506",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "country = df.value.isnull().groupby([df['country']]).sum().astype(int).reset_index(name='count')\n",
    "plt.figure(figsize=(20, 7))\n",
    "plt.bar(country['country'], country['count'])\n",
    "plt.xticks(rotation=90);\n",
    "\n",
    "# looks like there are a lot of NaNs for Croatia, Montenegro, North Macedonia, Serbia, Turkey and United Kingdom"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f12f6d8d-6d3b-494d-a331-cd5daa20c270",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# what are the percentage of NaNs now\n",
    "round((df['value'].isna().sum() / len(df.index))*100)\n",
    "# We have reduce NaNs by a lot now!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d34f6aa-12f4-4b09-a348-10a6332e5063",
   "metadata": {},
   "source": [
    "### Data Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "bd0dd49c-bbb4-4a78-b1ef-cfa18133770e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1080x1224 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot multiple plots for each country. Sex will include both males and females\n",
    "\n",
    "# lets look at the entire population \n",
    "df2 = df[df.age == 'Y15-74']\n",
    "\n",
    "edu_list = df2.isced11.unique()\n",
    "countries = df2.country.unique()\n",
    "\n",
    "fig, ax = plt.subplots(3, figsize=(15, 17))\n",
    "\n",
    "# create a larger colormap and line styles to distinguish all of the countries\n",
    "markers = ['-','--','-.',':']\n",
    "colors = ['gray','rosybrown','maroon','salmon','sienna','tan','olive','darkolivegreen','darkseagreen','darkslategray']\n",
    "mc_list = list(itertools.product(markers, colors))\n",
    "\n",
    "for x in range(len(edu_list)):\n",
    "    education = df2[df2.isced11 == edu_list[x]]\n",
    "    for i in range(len(countries)):\n",
    "        data = education[education.country == countries[i]]\n",
    "        mkr, col = mc_list[i]\n",
    "        ax[x].plot(data[data.sex == 'T'].year, data[data.sex == 'T'].value, label=countries[i], color=col, linestyle=mkr, linewidth=3)\n",
    "        ax[x].set_title(edu_list[x])\n",
    "\n",
    "# Add in a nice legend\n",
    "ax[0].legend(title='Countries', bbox_to_anchor=(1.05, 1), loc='upper left', fontsize='small');"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "821a5d29-b7a5-4899-9067-ecb316c09e06",
   "metadata": {},
   "source": [
    "### Lets Explore Turkey"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "00458982-610f-47d5-ae9b-5edf827e8a6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# subset dataframe to show only Turkey\n",
    "df_TR = df[df['geotime'] == 'TR'].reset_index(drop=True)\n",
    "\n",
    "# subset dataframe so that we only have years from 2006 onwards (there is no data earlier than that for Turkey), age groups Y15-24, 25-49, 50-74 and only M and F\n",
    "df_TR = df_TR[pd.to_numeric(df_TR['year']) > 2005] # get correct years\n",
    "df_TR = df_TR[df_TR['age'].isin(['Y15-24','Y25-49','Y50-74'])] # get only 3 main age groups\n",
    "df_TR = df_TR[df_TR['sex'].isin(['F','M'])] # get only male and female entries\n",
    "\n",
    "# remove unused categories\n",
    "df_TR.year = df_TR.year.cat.remove_unused_categories()\n",
    "df_TR.age = df_TR.age.cat.remove_unused_categories()\n",
    "df_TR.sex = df_TR.sex.cat.remove_unused_categories()\n",
    "\n",
    "# Group all of the variables \n",
    "df_TR = df_TR.groupby(['year','age','isced11','sex'])['value'].sum().reset_index()\n",
    "\n",
    "# lets reset the index\n",
    "df_TR = df_TR.reset_index(drop=True).copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "df18713a-d070-4571-a1e0-c40e4955acac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# bar chart 1: look at univeristy\n",
    "import seaborn as sns\n",
    "from matplotlib.pyplot import figure\n",
    "uni = df_TR[df_TR['isced11'] == 'University']\n",
    "\n",
    "figure(figsize=(20, 10))\n",
    "\n",
    "# create data\n",
    "Y15_f = np.array(uni[(uni['age'] == 'Y15-24') & (uni['sex'] == 'F')].value)\n",
    "Y25_f = np.array(uni[(uni['age'] == 'Y25-49') & (uni['sex'] == 'F')].value)\n",
    "Y50_f = np.array(uni[(uni['age'] == 'Y50-74') & (uni['sex'] == 'F')].value)\n",
    "Y15_m = np.array(uni[(uni['age'] == 'Y15-24') & (uni['sex'] == 'M')].value)\n",
    "Y25_m = np.array(uni[(uni['age'] == 'Y25-49') & (uni['sex'] == 'M')].value)\n",
    "Y50_m = np.array(uni[(uni['age'] == 'Y50-74') & (uni['sex'] == 'M')].value)\n",
    "\n",
    "with sns.axes_style(\"white\"):\n",
    "    sns.set_style(\"ticks\")\n",
    "    sns.set_context(\"talk\")\n",
    "    \n",
    "    # plot details\n",
    "    bar_width = 0.35\n",
    "    epsilon = .015\n",
    "    line_width = 1\n",
    "    opacity = 0.7\n",
    "    pos_bar_positions = np.arange(len(Y15_f))\n",
    "    neg_bar_positions = pos_bar_positions + bar_width\n",
    "\n",
    "    # make bar plots\n",
    "    Y15_f_bar = plt.bar(pos_bar_positions, Y15_f, bar_width,\n",
    "                              color='maroon',\n",
    "                        linewidth=line_width,\n",
    "                        edgecolor='maroon',\n",
    "                              label='Young females')\n",
    "    \n",
    "    Y25_f_bar = plt.bar(pos_bar_positions, Y25_f, bar_width-epsilon,\n",
    "                              bottom=Y15_f,\n",
    "                              alpha=opacity,\n",
    "                              color='indianred',\n",
    "                              edgecolor='indianred',\n",
    "                              linewidth=line_width,\n",
    "                              label='Middle-aged females')\n",
    "    \n",
    "    Y50_f_bar = plt.bar(pos_bar_positions, Y50_f, bar_width-epsilon,\n",
    "                               bottom=Y25_f+Y15_f,\n",
    "                               alpha=opacity,\n",
    "                               color='salmon',\n",
    "                               edgecolor='salmon',\n",
    "                               linewidth=line_width,\n",
    "                               label='Old females')\n",
    "    \n",
    "    Y15_m_bar = plt.bar(neg_bar_positions, Y15_m, bar_width,\n",
    "                              color='navy',\n",
    "                        edgecolor='navy',\n",
    "                        linewidth=line_width,\n",
    "                              label='Young males')\n",
    "    \n",
    "    hpv_neg_cna_bar = plt.bar(neg_bar_positions, Y25_m, bar_width-epsilon,\n",
    "                              bottom=Y15_m,\n",
    "                              color=\"steelblue\",\n",
    "                              edgecolor='steelblue',\n",
    "                              linewidth=line_width,\n",
    "                              label='Middle-aged males')\n",
    "    \n",
    "    hpv_neg_both_bar = plt.bar(neg_bar_positions, Y50_m, bar_width-epsilon,\n",
    "                               bottom=Y25_m+Y15_m,\n",
    "                               color=\"powderblue\",\n",
    "                               edgecolor='powderblue',\n",
    "                               linewidth=line_width,\n",
    "                               label='Old males')\n",
    "    plt.xticks(neg_bar_positions, uni.year.unique(), rotation=90)\n",
    "    plt.ylabel('Number of People')\n",
    "    plt.legend(bbox_to_anchor=(1.1, 1.05))\n",
    "    sns.despine()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cb0ea864-566e-4991-b4eb-af015d2ab13a",
   "metadata": {},
   "source": [
    "### Key Insights"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d7507ee-d244-4506-ac9d-33f610757708",
   "metadata": {},
   "source": [
    "There are several countries that look interesting for further examination.\n",
    "\n",
    "For example, Turkey appears to have a high primary school only educated population, but it's universty educated population is rapidly growing in recent years. Additonally, Women appear to be gaining in the number of universty degrees in Turkey. The younger generation of women have overtaken men in turkey for university degree. It would be interesting to see if this trend is occuring all over Europe. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4db5fcb5-b5a1-421c-b93a-04a402bdbc3c",
   "metadata": {},
   "source": [
    "### Hypothesis Testing"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "179bd304-0d7c-4b09-9dd5-4ae261ff5737",
   "metadata": {},
   "source": [
    "Three possible research questions that could be examined include:\n",
    "\n",
    "1) Across Europe, are more women with univeristy degrees in 2020 than in the past, say ten years ago?\n",
    "2) In Euope, are there more women attending univeristy than men in 2020\n",
    "3) Are there more people with univeristy degrees in european countries inside the european union when compared to those outside."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4715136-89fb-47d3-8a67-94fe37f6330c",
   "metadata": {},
   "source": [
    "Hypotheses statements could be:\n",
    "\n",
    "1. There is a significantly larger number of women with univeristy degrees in 2020 than in 2010 in Europe. \n",
    "2. In 2020, there is a significatly higher number of women with university degrees than men across Europe.\n",
    "3. In 2020, Euopean countries inside the European Union have larger number of people with univeristy degrees than european countries outide the EU. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cf4b196d-9ceb-404d-902f-c72f8002ebce",
   "metadata": {},
   "source": [
    "### Performing a signficance test"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10027e90-f23b-454f-8440-e0cc5c660802",
   "metadata": {},
   "source": [
    "Lets test the first research question: Across Europe, are there more women with univeristy degrees in 2020 than in 2010?\n",
    "\n",
    "H1: There is a significantly larger number of women with univeristy degrees in 2020 than in 2010 in Europe. \n",
    "\n",
    "H0: There is no difference in the number of women with univeristy degrees in 2020 than in 2010 in Europe. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ca8b0c38-a128-428d-9b5e-629c72456087",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# montengro and united kingdom have NAs for university females in 2020 and 2010. I will exclude them from the analysis.\n",
    "df2 = df[(df.geotime != 'UK') & (df.geotime != 'ME')]\n",
    "\n",
    "# get datasets\n",
    "df_2020 = df2[(df2['age'] == 'Y15-74') & (df2['sex'] == 'F') & (df2['isced11'] == 'University')  & (df2['year'] == '2020')]\n",
    "df_2010 = df2[(df2['age'] == 'Y15-74') & (df2['sex'] == 'F') & (df2['isced11'] == 'University')  & (df2['year'] == '2010')]\n",
    "\n",
    "# plot histograms \n",
    "pyplot.hist(df_2020.value)\n",
    "pyplot.hist(df_2010.value);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe1e7ae4-a607-4e41-8fa7-fde2e9f8f16f",
   "metadata": {},
   "source": [
    "It looks like my data is heavily skewed. Should use a non-parametric test such as Mann-Whitney U Test."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d3365e38-9199-42d6-9ba4-b233ae589744",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Statistics=653.000, p=0.166\n"
     ]
    }
   ],
   "source": [
    "# lets test whether more women are attending univeristy in 2020 than in 2010 across European countries\n",
    "# we will be using a Mann-Whitney U Test to see whether number of women attending univeristy is signifcantly larger on average in 2020 than in 2010 \n",
    "stat, p = mannwhitneyu(df_2020.value, df_2010.value)\n",
    "print('Statistics=%.3f, p=%.3f' % (stat, p))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7dcb07b-2966-4d8d-9e43-e09d7dffd814",
   "metadata": {},
   "source": [
    "p value is above alpha threshold of 0.05 suggesting that there is no difference between 2020 and 2010 for number of women with a higher degree in Europe. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "119795ca-518c-48a4-b7ac-7ced7ebe1c01",
   "metadata": {},
   "source": [
    "### Sugestions for further analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9923a034-3cb6-4897-a374-eba84c780302",
   "metadata": {},
   "source": [
    "This dataset only shows the total number of people for each year and ach age group. It would be more interesting to look at percentages per populations and to do this, a dataset with population information for each country across several years could be downloaded and incorporated. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e91a18dd-c6d5-4b4f-9ded-0cbbddc62f76",
   "metadata": {},
   "source": [
    "This data did not come with an adequate level of information describing its variables and values. For much of it I had to assume some things."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.10.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}