life_expectancy_gdp.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Life Expectancy & GDP Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following data was acquired from Codeacademy's Data Analysis course*.   \n",
    "The data includes 5 countries alongside their GDP and population's life expectancy from 2000 to 2015. \n",
    "\n",
    "Our goal is to determine if there is a correlation between GDP and life expectancy for each country. \n",
    "Along the way we will also be answering the following questions:\n",
    "- What is the average life expectancy per country?\n",
    "- What is the distribution for life expectancy and country?\n",
    "- Has life expectancy and GDP increased over time? \n",
    "- is there a correlation between GDP and life expectancy?\n",
    "\n",
    "\n",
    "*They gathered this data from the World Health Organization and World Bank."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Preparation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Importing Necessary Libraries & Reading the Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from scipy.stats import pearsonr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Year</th>\n",
       "      <th>Life expectancy at birth (years)</th>\n",
       "      <th>GDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chile</td>\n",
       "      <td>2000</td>\n",
       "      <td>77.3</td>\n",
       "      <td>7.786093e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Chile</td>\n",
       "      <td>2001</td>\n",
       "      <td>77.3</td>\n",
       "      <td>7.097992e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Chile</td>\n",
       "      <td>2002</td>\n",
       "      <td>77.8</td>\n",
       "      <td>6.973681e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Chile</td>\n",
       "      <td>2003</td>\n",
       "      <td>77.9</td>\n",
       "      <td>7.564346e+10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Chile</td>\n",
       "      <td>2004</td>\n",
       "      <td>78.0</td>\n",
       "      <td>9.921039e+10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Country  Year  Life expectancy at birth (years)           GDP\n",
       "0   Chile  2000                              77.3  7.786093e+10\n",
       "1   Chile  2001                              77.3  7.097992e+10\n",
       "2   Chile  2002                              77.8  6.973681e+10\n",
       "3   Chile  2003                              77.9  7.564346e+10\n",
       "4   Chile  2004                              78.0  9.921039e+10"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('all_data.csv')\n",
    "data.head() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Chile', 'China', 'Germany', 'Mexico', 'United States of America',\n",
       "       'Zimbabwe'], dtype=object)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Country'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010,\n",
       "       2011, 2012, 2013, 2014, 2015])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['Year'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cleanse/Format/Blend "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 96 entries, 0 to 95\n",
      "Data columns (total 4 columns):\n",
      " #   Column                            Non-Null Count  Dtype  \n",
      "---  ------                            --------------  -----  \n",
      " 0   Country                           96 non-null     object \n",
      " 1   Year                              96 non-null     int64  \n",
      " 2   Life expectancy at birth (years)  96 non-null     float64\n",
      " 3   GDP                               96 non-null     float64\n",
      "dtypes: float64(2), int64(1), object(1)\n",
      "memory usage: 3.1+ KB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Country                             0\n",
       "Year                                0\n",
       "Life expectancy at birth (years)    0\n",
       "GDP                                 0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#checking the dytypes are correct so I can properly use the data for analysis (as well as any null values)\n",
    "data.info()\n",
    "\n",
    "#another way to check null values\n",
    "data.isna().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Descriptive Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Life expectancy at birth (years)</th>\n",
       "      <th>GDP</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Chile</td>\n",
       "      <td>78.94375</td>\n",
       "      <td>1.697888e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>China</td>\n",
       "      <td>74.26250</td>\n",
       "      <td>4.957714e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Germany</td>\n",
       "      <td>79.65625</td>\n",
       "      <td>3.094776e+12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Mexico</td>\n",
       "      <td>75.71875</td>\n",
       "      <td>9.766506e+11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>United States of America</td>\n",
       "      <td>78.06250</td>\n",
       "      <td>1.407500e+13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Zimbabwe</td>\n",
       "      <td>50.09375</td>\n",
       "      <td>9.062580e+09</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    Country  Life expectancy at birth (years)           GDP\n",
       "0                     Chile                          78.94375  1.697888e+11\n",
       "1                     China                          74.26250  4.957714e+12\n",
       "2                   Germany                          79.65625  3.094776e+12\n",
       "3                    Mexico                          75.71875  9.766506e+11\n",
       "4  United States of America                          78.06250  1.407500e+13\n",
       "5                  Zimbabwe                          50.09375  9.062580e+09"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "country_mean = data.drop('Year', axis=1).groupby(data['Country']).mean().reset_index()\n",
    "country_mean"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The table above groups the countries and averages their population's life expectancy at birth and their GDP."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### GDP Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Distribution\n",
    "plt.figure(figsize=(12,8))\n",
    "sns.histplot(data['GDP'],bins=20)\n",
    "plt.title('GDP Distribution')\n",
    "plt.xlabel('GDP in Trillions (USD)')\n",
    "plt.show()\n",
    "plt.clf()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This distribution is right skewed, indicating for many years the countries in our dataset had a GDP in the billions (USD) with very few years in the trillions (USD).\n",
    "It, however, does not tell us which countries fall within this distribution.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(x = country_mean['GDP'], y = country_mean['Country'])\n",
    "plt.title('Average GDP per Country')\n",
    "plt.xlabel('GDP in Trillions (USD)')\n",
    "plt.ylabel('Country')\n",
    "plt.show()\n",
    "plt.clf()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the graph above, we can now compare the average GDP per country for the years 2000 - 2015. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Growth through the years\n",
    "plt.figure(figsize=(12,8))\n",
    "sns.lineplot(data = data, x = 'Year', y = 'GDP', hue = 'Country')\n",
    "plt.title('GDP per country in the last 15 Years')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('GDP in Trillions (USD)')\n",
    "plt.show()\n",
    "plt.clf()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Visualizing the growth of GDP per country through 2000-2015. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Life Expectancy Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Distribution\n",
    "plt.figure(figsize=(12,8))\n",
    "sns.histplot(data['Life expectancy at birth (years)'], bins=20)\n",
    "plt.title('Life Expectancy Distribution')\n",
    "plt.xlabel('Life Expectancy (Year)')\n",
    "plt.show()\n",
    "plt.clf()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As with GDP, we can visualize the overall distribution of the life expectancy of our data set. We can see that our distribution is left skewed because Zimbabwe has a low lif expectancy compared to the other countries. Most countries average between 75-80 (this can be compared to the mean dataframe we did above)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.barplot(x = country_mean['Life expectancy at birth (years)'], y = country_mean['Country'])\n",
    "plt.title('Average Life Expectancy per Country')\n",
    "plt.xlabel('Life Expectancy (Years)')\n",
    "plt.ylabel('Country')\n",
    "plt.show()\n",
    "plt.clf()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The graph above shows us the country and their average life expectancy, after we have visualized the distribution. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.lineplot(data = data, x = 'Year', y = 'Life expectancy at birth (years)', hue = 'Country')\n",
    "plt.title('Life Expectancy per country in the last 15 Years')\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Life Expectancy (Years)')\n",
    "plt.show()\n",
    "plt.clf()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the graph above, we visualize the change in life expectancy from 2000 - 2015. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation Between GDP and Life Expectancy"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "sns.scatterplot(data = data, x = 'Life expectancy at birth (years)', y = 'GDP', hue = 'Country')\n",
    "plt.title('Relationship Between GDP adn Life Expectancy')\n",
    "plt.xlabel('Life Expectancy')\n",
    "plt.ylabel('GDP in Trillions (USD)')\n",
    "plt.show()\n",
    "plt.clf()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.343206748449156"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_gdp_le, p = pearsonr(data['GDP'], data['Life expectancy at birth (years)'])\n",
    "corr_gdp_le"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion      "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the analysis above, we can conclude the following:  \n",
    "\n",
    "- What is the average life expectancy per country?\n",
    "For most countries the average life expectancy is in the mid to top 70s, with the exception of Zimbabwe who has an average life expectancy of 50 years.  \n",
    "\n",
    "- What is the distribution for life expectancy and country?  \n",
    "Although most country's average life expectancy is in the 70s, The distribution of this category is left skewed because Zimbabwe's expectancy is 20 years lower through the 15 years of data. \n",
    "\n",
    "As for the GDP, the distribution is right skewed because most of the countries are within the billion and low trillion range. United States' GDP is larger than everyone else - pulling the distribution further to the right. \n",
    "\n",
    "- Has life expectancy and GDP increased over time?  \n",
    "Overall, both categories have increased throughout the 15 years of data. Out of all the 5 countries, it is worth noting that China's GDP grew the most while Zimbabwe's life expectancy grew the most.\n",
    "\n",
    "- Is there a correlation between GDP and life expectancy?  \n",
    "There is a linear relationship between GDP and life expectancy (pearson's correlation of 0.3), although this does not mean correlation implies causation.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
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