-CognoRise-Infotech

Data Analysis internship at CognoRise Infotech

➡ First Task ( UNEMPLOYMENT IN INDIA ) :

❗ The problem is :

              have seen a sharp increase in the unemployment rate during Covid-19, 

✅ The analysis Steps:

              ⭐ Explore The Dataset

              ⭐ Clean The Data

              ⭐ Visualizing Trends Across All Features

              ⭐ Analyzing the outliers and found that they could be useful for making predictions

              ⭐ Visualize the average Unemployment Rate by Region

              ⭐ Visualize the relationship between columns

              ⭐ Visualize  Total Unemployment Rate Over Time

              ⭐ Visualize Unemployment Rate by Area

              ⭐ Visualize Labour Participation Rate by Area

➡ Second Task ( EMPLOYEE SALARIES FOR DIFFERENT JOB ROLS ) :

❗ The problem is:

               that HR analyst, or someone interested in understanding salary trends for different AI and Data roles,

✅ The analysis Steps:

               ⭐ Explore The Dataset
              
               ⭐ Clean The Data
              
               ⭐ Visualizing Trends Across All Features 
              
               ⭐ Analyzing the outliers and removing them
              
               ⭐ Updated the job titles to categorize all roles under a general  label
              
               ⭐ Visualize Job Title Distribution
              
               ⭐ Visualize Salaries Distribution
              
               ⭐ Visualize Experience level Distribution
              
               ⭐ Visualize Experience level Trends over the years
              
               ⭐ Visualize Average Salary  spent By location
              
               ⭐ Visualize the type of job (Remote, On-Site, Hybrid)
              
               ⭐ Visualize Expenditure by Currency
              
               ⭐ Visualize the Number of companies by size

➡ Third Task ( BigMart Sales ) :

❗ The problem is that the sales team wants to Discover Trends in The Dataset

✅ The analysis Steps:

         ⭐ Explore The Dataset
        
         ⭐ Clean The Data
        
         ⭐ Visualizing Trends Across All Features
        
         ⭐ Analyzing the outliers and removing it 
        
         ⭐ Visualize Outlet Sales over the Years
        
         ⭐ Visualize Comparison of Distribution Fat Content Categories Across Item MRP
        
         ⭐ Visualize Item Fat Content Count
        
         ⭐ Visualize Distribution of Item Visibility
        
         ⭐ Visualize Outlet Size Count
        
         ⭐ Visualize Outlet Location Type Count
        
         ⭐ Visualize Item Outlet Sales by Location Type
        
         ⭐ Visualize Distribution of Item Visibility and Item_Outlet_Sales