Kaggle hosts a dataset profiling 3,859 candidates who contested the Tamil Nadu Legislative Assembly elections in 2021. It includes information on criminal cases, educational qualifications, and declared assets for each candidate. The data provides a detailed snapshot of candidate backgrounds for a major Indian state election.
Use Cases
- Analyze the correlation between declared assets and criminal_case status across candidates.
- Model the distribution of education levels among candidates with and without criminal records.
- Profile candidate demographics and declared backgrounds by constituency or party using candidate-level features.
Strengths
- Contains profiles for 3,859 individual election candidates.
- Includes multiple specific data points per candidate: criminal cases, education, and assets.
Limitations
- The dataset size of 3,859 rows is relatively small for complex statistical modeling.
- Unknown data collection methodology and potential for self-reported inaccuracies in asset and education fields.
- Limited to a single election year (2021) and one Indian state, restricting temporal and geographic analysis.
Provenance
- Source
- null
- Collection Method
- null
- Time Range
- 2021
- Freshness
- null
- Geography
- Tamil Nadu, India