World Population Data Analysis Python

The analysis identified significant population growth in Asia before 2000, with Europe experiencing a decline, and regional trends were visualized using Seaborn heatmaps and box plots. Grouped correlation results highlighted patterns, revealing Oceania's stability compared to Asia’s rapid growth

BILLIONAIRE DATA ANALYSIS AND VISUALISATION IN EXCEL

Data was cleaned by removing duplicates and correcting inaccuracies, followed by trend analysis using pivot tables to explore billionaire status, income sources, and industries. Visualization with slice and bar charts revealed that individuals aged 60-70 are most likely to become billionaires.

NETFLIX DATA VISUALISATION USING POWER BI

To analyze Netflix data in Power BI, clean and structure the data by handling missing values, profiling columns, and adding calculated or extracted fields like content type. Visualizations are then created to compare TV show vs. movie viewership by country, revealing content trends across different

Lay_offs SQL Data Cleaning

This SQL data cleaning project creates a staging table for safe data handling, removes duplicates with ROW_NUMBER(), and standardizes entries like industry names and dates. Essential null values are retained for analysis, while irrelevant rows and temporary columns are removed for a streamlined data

SQL Data Cleaning FIFA Data

FIFA Data Cleaning using MYSQL Queries