GoPie for Public Data
Public data, ready for answers
Government tables arrive with stray spaces, cryptic headers and a dozen spellings of the same state. GoPie cleans them on the way in, standardises them against predefined codebooks, and makes them AI-ready, with the official reports that explain them sitting right alongside.
FROM MESSY UPLOAD TO AI-READY PROJECT, AUTOMATICALLY
01 · Clean on upload
The cleaning you always do, done for you.
Enable data cleaning on a project and every upload is trimmed, retyped and renamed before anyone asks it a question. No more find-and-replace mornings.
| St_Name | YIELD(2024 ) |
|---|---|
| " Iowa " | 204 |
| Nebraska | NA |
| Kansas | 138 |
Auto-applied · you review & tweak any step
| state_name | state_code | yield_2024 |
|---|---|---|
| Iowa | IA | 204 |
| Nebraska | NE | null |
| Kansas | KS | 138 |
STATE_CODE ADDED FROM STANDARD DICTIONARY
02 · Codebooks
One name for every state, district and scheme.
Public data spells the same place ten ways. GoPie standardises values against predefined codebooks, like state codes and LGD district codes, and adds the standard code as its own column.
Every dataset in the project ends up speaking the same language, so answers can join census, budget and survey data without anyone reconciling spellings first.
| level | as uploaded | standardised | code |
|---|---|---|---|
| STATE | " Andhra pradesh " | Andhra Pradesh | AP |
| STATE | TamilNadu | Tamil Nadu | TN |
| DISTRICT | Ananthapuram | Anantapur | LGD 553 |
| DISTRICT | Vizag | Visakhapatnam | LGD 561 |
| economy | growth | year |
|---|---|---|
| India | +7.8% | 2024 |
| Vietnam | +6.4% | 2024 |
| Indonesia | +5.1% | 2024 |
India grew fastest at 7.8%, with emerging Asia leading the pack. The IMF outlook ties the surge to strong domestic demand and easing inflation across the region.
03 · Data + reports
Not just the numbers. The reports behind them.
Add official reports, methodology notes and scheme guidelines to the same project as context documents. Answers draw on both, and cite both.
Auto-generated dataset and column descriptions make retrieval precise, so a question about groundwater finds the right table and the right paragraph of the right PDF.
04 · Who it's for
Built for the people who work public data.
M&E teams
Track programme indicators across regions and years, with the methodology sitting right beside the numbers.
Researchers
Join census, budget and survey data and interrogate it in plain language, without weeks of wrangling.
Administrative data
Make departmental records consistent and queryable across every district and reporting cycle.
Policy & think tanks
Test a hypothesis against official data and cite the source document in the same answer.
Journalists
Ask hard questions of public datasets and get answers that always show their working.
Development sector
Turn scattered scheme data into dashboards and reports for funders and field teams.
Working with public data?
Tell us about your datasets. We'll show you what AI-ready looks like.