Indian Election Seat Projection Accuracy with Monte Carlo Simulations

Indian election data analyzing the accuracy of seat projections. The dataset reports mean Manhattan Distance and probability of accurate projection, created by Adway Mitra and last updated in March 2026. It is a 5.5 KB Excel file.

Use Cases

• Assessing seat projection accuracy based on reported mean Manhattan Distance
• Comparing modeling approaches based on Monte Carlo sampling mentioned in platform tags
• Analyzing geographical distribution of voting preferences referenced in platform tags

Strengths

• File size is precisely 5.5 KB, indicating a focused dataset
• License is clearly defined as CC-BY-4.0
• Last update timestamp is provided: 2026-03-17 17:40:17

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

Adway Mitra via figshare

Collection Method

Likely contains results from Monte Carlo simulations, as indicated by platform tags.

Time Range

Temporal coverage is not specified in the input.

Freshness

Last updated 2026-03-17 17:40:17; freshness should be verified

Geography

India, as indicated by the title.