world_dev.ipynb

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     "data": {
      "text/plain": [
       "       country  year  population      cont  life_exp       gdp_cap\n",
       "1  Afghanistan  2007  31889923.0      Asia    43.828    974.580338\n",
       "2      Albania  2007   3600523.0    Europe    76.423   5937.029526\n",
       "3      Algeria  2007  33333216.0    Africa    72.301   6223.367465\n",
       "4       Angola  2007  12420476.0    Africa    42.731   4797.231267\n",
       "5    Argentina  2007  40301927.0  Americas    75.320  12779.379640"
      ],
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     },
     "metadata": {},
     "execution_count": 2
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt \n",
    "import pandas as pd \n",
    "import numpy as np\n",
    "\n",
    "# load the gapminder dataset and display the first 5 countries\n",
    "df = pd.read_csv(\"data_holder/gapminder.csv\", usecols=[1, 2, 3, 4, 5, 6])\n",
    "df.index = np.array(list(df.index)) + 1\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdp_cap = df.gdp_cap\n",
    "life_exp = df.life_exp\n",
    "\n",
    "# x label for the scatter plot\n",
    "# y label for the scatter plot\n",
    "x_lab = \"GDP per Capital [in USD]\"\n",
    "y_lab = \"Life Expectancy [in years]\"\n",
    "title = \"World Development in 2007\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# increasing the marker size of the scatter plot\n",
    "# by the population of the country.\n",
    "pop = df.population\n",
    "np_pop = np.array(pop) / 1000000"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create list of colours by the continent\n",
    "continent_list = df.cont\n",
    "\n",
    "\n",
    "col_dict = {\n",
    "    'Asia':'red',\n",
    "    'Europe':'green',\n",
    "    'Africa':'blue',\n",
    "    'Americas':'yellow',\n",
    "    'Oceania':'black'\n",
    "}\n",
    "\n",
    "col = [col_dict[cont] for cont in continent_list if cont in col_dict]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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\n"
     },
     "metadata": {}
    }
   ],
   "source": [
    "# Plot the scatter plot of gdp against the life expectancy\n",
    "# set the marker size s to np_pop\n",
    "# set the colors of the plot, c, based on the continent to col\n",
    "plt.style.use('seaborn-darkgrid')\n",
    "plt.scatter(gdp_cap, life_exp, s= np_pop, c=col, alpha=0.8)\n",
    "plt.xlabel(x_lab)\n",
    "plt.ylabel(y_lab)\n",
    "plt.xscale('log')\n",
    "plt.xticks([1000, 10000, 100000],['1k', '10k', '100k'])\n",
    "\n",
    "plt.text(2000, 64, \"India\")\n",
    "plt.text(4000, 73, \"China\")\n",
    "plt.grid(True)\n",
    "\n",
    "plt.title(title, fontsize= 30)\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "\n",
    "# Interpretation\n",
    "\n",
    "Most African countries (in blue) have low life expectancy and a low GDP per capital while other continents have both life expectancy and GDP per capital increasing simultaneously with a few outliers like China and India. This means that there is a positive correlation between the GDP per capital and life expectancy variable."
   ],
   "cell_type": "markdown",
   "metadata": {}
  }
 ]
}