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This project analyzes 10 years of U.S. domestic airline data (~3GB) using Hadoop (Cloudera) and Hive for data processing. Power BI dashboards visualize key metrics like delays, on-time rates, air time, and diversions. The solution includes Hive queries, DAX measures, HDFS ingestion scripts, and year-wise insights with recommendations.
This project uses Hadoop and Power BI to analyze 600+ loan applications based on income, credit history, employment, and demographics. The project uncovers key approval factors such as credit history and marital status while highlighting disparities by gender and region. Interactive dashboards reveal patterns across loan amounts,applicant profiles.
This repository explores over 180,000 terrorist incidents across 205 countries using Hadoop and Power BI. The project identifies global and regional patterns in terrorism, analyzes the impact on civilians, and highlights high-risk areas. Key insights include attack trends,weapon usage,top terror groups,& country-specific risks like those in India.