Register 11 / Data
The data, in full
Both datasets behind this site are downloadable in full, 115 monthly records and 225 annual report records, as JSON and CSV, licensed Creative Commons Attribution 4.0 International. The gap lists and the verification metadata are included, not stripped out.
The whole register, openly licensed
| File | Format | Extent | What it contains |
|---|---|---|---|
| dmu-progress-timeseries.json | JSON | 115 records | The monthly series exactly as extracted, including the gap list and the qualitative record. |
| dicdl-annual-report.json | JSON | 225 records | The audited annual report dataset, including its verification block, gaps and caveats. |
| metric-series.csv | CSV | 340 rows | Both datasets in one long table: dataset, metric, date, value, unit, tag, source, page. |
| dmu-readings.csv | CSV | 115 rows | The monthly series as a flat table with every field. |
| dicdl-facts.csv | CSV | 225 rows | The annual report dataset as a flat table with every field. |
The compilation is licensed Creative Commons Attribution 4.0 International, so it can be reused with attribution to this register. The underlying documents are publications of the Government of India and the Government of Gujarat and carry their own terms. Nothing here is behind a form, an email gate or a login.
Licence: Creative Commons Attribution 4.0 International. Attribution: Dholera Progress Record, https://dholera.today/. Compiled by Bhavik Sarkhedi.
Field list, monthly series
Every record in the monthly file carries these 15 fields. Two of them exist so that a reader can see the difference between the value as a number and the value as the document printed it.
metricmetric_verbatim_in_sourcevaluevalue_as_printedunitscopeas_of_dateas_of_date_as_printedsource_filesource_pagesource_sectiontagnotevalue_minvalue_max
Source: field list declared in the monthly dataset file.
Field list, annual reports
The company file carries 28 fields, because a contract record needs more of them than a financial line does. Fields that do not apply to a record are null rather than blank.
fact_namevalueunitfinancial_yeardate_referencesource_filesource_pagesource_page_printedtagextractionverbatimnotedesignationdinsharesdatescontractorcontract_basisaward_dateproject_cost_inr_croreproject_cost_notemanagement_fee_inr_croreproject_management_consultantplot_area_sq_mbuilt_up_area_sq_mconstruction_start_datespecificationstatus
Source: field list declared in the company dataset file.
What you should not do with it
Do not present a TARGET row as an outcome. Do not average two readings that disagree. Do not fill a missing month by interpolation and then attribute the result to this register. Every one of those moves would produce a number that no government document has ever published, which is the failure mode this site exists to avoid.
Editorial rule of this register.