Discover the factors that contribute to national happiness using statistical analysis on a dataset retrieved from Kaggle. Learn how to clean and correlate data using Python.

Factors that contribute to National Happiness

The goal of this analysis is to determine the factors that correlate to national happiness. I retreived this data from Kaggle. I am going to download the data set. Retrieve it, clean it and see if I can find a correlation between various factors -like income for instance- and happiness.

Downloading the Dataset

import seaborn as sns #seaborn the python graphing module for more advanced graphing
import matplotlib #matplotlib the python graphing module for more basic graphing
import matplotlib.pyplot as plt #matplotlib the python graphing module for more basic graphing
import numpy as np #numpy the python module that provide you with math functions and functions for arrays
import statsmodels.api as sm #statsmodels.api the python module that contain functions allowing you to apply statistical models
%matplotlib inline

sns.set_style('darkgrid')
matplotlib.rcParams['font.size'] = 14
matplotlib.rcParams['figure.figsize'] = (12, 5)
matplotlib.rcParams['figure.facecolor'] = '#00000000' #short cuts to customize the look of plots for graphing

!pip install jovian opendatasets --upgrade --quiet

dataset_url = 'https://www.kaggle.com/unsdsn/world-happiness' #the website url I am downloading from