Unemployment is measured by the unemployment rate which is the number of people who are unemployed as a percentage of the total labour force. We have seen a sharp increase in the unemployment rate during Covid-19, so analyzing the unemployment rate can be a good data science project. The unemployment rate is calculated based on a particular region, so to analyze unemployment I will be using an unemployment dataset of India. The dataset I’m using here contains data on India’s unemployment rate during Covid-19. So let’s start the task of Unemployment analysis

• Importing Required Packages

• Reading the dataset from Kaggle link: https://www.kaggle.com/datasets/gokulrajkmv/unemployment-in-india

• Checking null values and dimensions of the dataset

• Taking and changing the required information from the dataset

• Describing EUR, EE and ELPR and Mean value for the regions

• Plotting the Heatmap

• Exploratory Data Analysis (Plotting)

• Segmenting the states according to impact level

• Visualizing the impact of lockdown on Employment across states