EDA ~ Unemployment Rate
Today let’s explore the unemployment rate across different countries of the world. The dataset we will be using today is Unemployment data— World wide Figures present on the Kaggle platform. It includes the unemployment rate for 31 years of each country i.e. from the year 1991–2021 with columns such as Columns of the dataset, Country name, Country code, Years- 1991 to 2021 Note: For quick Pandas revision you can refer to this blog : Tutorial: Pandas Photo by The New York Public Library on Unsplash The unemployment rate formula is the number of unemployed people in the country, divided by the total number of workers available in the civilian labor force. Source PHOTO:THE BALANCE / MARY MCLAIN 1. Import important libraries import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns import plotly.express as px 2. Reading the CSV file df = pd.read_csv("/content/unemployment analysis.csv") df.head() 3...