This repository contains an interactive Power BI dashboard project analyzing the Indian Election results.
It provides insights into national, state, and constituency-level performance of political parties and alliances using clean data modeling and DAX measures.
The Indian Election Analysis Dashboard enables stakeholders, researchers, and citizens to explore election results across multiple levels:
- ๐ข National overview of NDA, INDIA, and Others performance
- ๐บ๏ธ State-level political landscape and demographics
- ๐๏ธ Constituency-level drill-downs for candidates and parties
- ๐ Vote share, seat distribution, and winning margins
- ๐ Detailed tabular data for validation and reporting
Acts as the entry point of the project with navigation to all dashboards and a professional introduction.
Provides a high-level summary of the elections:
- Alliance-wise seat distribution (NDA, INDIA, Others)
- National vote share
- KPIs for overall results
Shows state-level demographics and trends:
- Voter distribution by state
- Regional population patterns
- Demographics linked with results
Highlights the state-wise political distribution:
- Party and alliance dominance
- Seat comparisons across states
- Regional performance breakdown
Provides granular analysis at constituency level:
- Candidate performance
- Winning vote margins
- Drill-down by party, alliance, and region
A tabular view of the dataset:
- Constituency, party, alliance, and candidate details
- Cleaned and structured election dataset
- Useful for detailed reporting and verification
The project uses a relational data model connecting the following tables:
constituencywise_detailsconstituencywise_resultspartywise_resultsstatesstatewise_results
constituencywise_resultsโconstituencywise_details(Constituency ID)constituencywise_resultsโpartywise_results(Party ID)statewise_resultsโstates(State ID)constituencywise_resultsโstatewise_results(Parliament Constituency)
- Open the
.pbixfile in Power BI Desktop. - Ensure all datasets are loaded correctly.
- Use filters and slicers to interact with the dashboards.
- Navigate through dashboards using the Landing Page
- Aanshi Gupta
- ๐ง aanshi.gupta2004@gmail.com


