尚未偵測到更新。GitHub 發布版本後會顯示在這裡。
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權,自行管理介紹,無需管理員核准。
登入並產生驗證檔案,在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案,即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入,將前往登入頁面。登入後請回到此處,再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify,即可驗證所有權並自行管理介紹。
一分鐘完成驗證正在載入完整 README。 以下為已儲存的摘錄。
A planned public dashboard for exploring provisional National Family Health
Survey (NFHS-6) indicators for Uttar Pradesh and all 75 districts.
The dashboard will provide state summaries, district profiles, comparisons,
indicator rankings, and an interactive district choropleth using a static,
validated representation of the checked-in NFHS compendium.
Active implementation. The Next.js and shadcn/ui foundation is initialized,
and the static NFHS data pipeline and dashboard modules are being built.檢視完整 README ↗A planned public dashboard for exploring provisional National Family Health Survey (NFHS-6) indicators for Uttar Pradesh and all 75 districts.
The dashboard will provide state summaries, district profiles, comparisons, indicator rankings, and an interactive district choropleth using a static, validated representation of the checked-in NFHS compendium.
Active implementation. The Next.js and shadcn/ui foundation is initialized, and the static NFHS data pipeline and dashboard modules are being built.
The source compendium includes:
The application will preserve source annotations:
* means the percentage is not shown because it is based on fewer than 25
unweighted cases;Primary source:
International Institute for Population Sciences (IIPS). 2026. National Family Health Survey (NFHS-6), 2023-24: State and District Fact Sheets, Uttar Pradesh. Mumbai: IIPS.
The compendium is dated August 2026 and identifies NFHS-6 results as provisional.
District boundary geometry is sourced from datta07/INDIAN-SHAPEFILES under the MIT License. Its source describes the data vintage as primarily 2019. See Third-Party Notices.
This portal is an analytical demonstration environment — not an official Government of Uttar Pradesh website. Original information is drawn from NFHS Official data for representation and visualization. For authoritative records and official transactions, refer to NFHS Official and your department's designated channels.
Requirements:
Install dependencies and start the local application:
npm install
npm run dev
Open http://localhost:3000.
Current validation commands:
npm run data:validate
npm run lint
npm run typecheck
npm run build
To regenerate the static NFHS dataset from the checked-in PDF:
npm run data:generate
The project is intended for the public GitHub repository:
https://github.com/Harshmalik017/NFHS
The completed application will be deployable by importing that repository into Vercel with standard Next.js settings and no runtime environment variables.
© 2026 Developer Details (Data Consultant). All Rights Reserved.