avantifellows / avantifellows/external_data_sources
dakshana_fact_reported_results: only 2025 + only JEE-Main/NEET (no Advanced, no earlier years)
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- Python
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Description
**Problem.** `dakshana_fact_reported_results` currently holds **only `test_year = 2025`** and **only `exam IN ('JEE Main','NEET')`** (371 rows: 253 JEE-Main across 5 JNV CoEs + 118 NEET at Pune). It has no JEE-**Advanced** results and no 2023/2024 cycles.
**Why it matters.** Dakshana's own published annual reports carry, per JNV CoE, the JEE-Advanced / IIT-seat and NIT-seat splits and multiple prior years — the exact outcome detail analyses need to project centre results. Today that lives only in PDFs, so any per-centre Dakshana outcome analysis has to hand-scrape the ARs.
**Evidence.** AR24/AR23 give e.g. JNV Bengaluru Urban: Class 2024 = 235 took JEE → 206 IIT / 25 NIT; Class 2025 = 76 → 63 IIT / 10 NIT. JNV Pune (NEET): Class 2023/24/25 = 40/50/118. None of the IIT/NIT/MBBS-seat splits or the 2023-24 batches are in the table.
**Open question for the data team.** Can Advanced results and the earlier (2023-24) cycles be ingested into this table (from the same Dakshana source), so it becomes the single machine-readable record instead of the ARs?
Contributor guide
No contributing guide indexed for this repository
Research direction
Start by locating the dakshana_fact_reported_results table and its existing ingestion entry point. Review the AR24 and AR23 Dakshana reports for the JEE-Advanced, IIT/NIT-seat, and earlier-cycle records, then verify that the table contains the requested 2023–2025 results and centre-level outcome splits.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-engineering
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100