This openness element measures whether data are made available in nonproprietary formats. Nonproprietary file formats are important because they allow users to access data without requiring the use of a costly, proprietary software that may prevent some users from accessing the data. Common nonproprietary formats include PDF, HTML, XLSX, DOCX, CSV, and JSON files. Every country, region and year the World Bank publishes for indicator SPI.D2.2.Non.proprietary (Statistical Performance Indicators (SPI)), delivered as a tidy table — country, ISO code, year and value — ready for analysis in Excel, R, Python or the Intigal AI workspace. Original compiler: Open Data Watch.
First 0 rows, exactly as they appear in the file.
0 columns and 0 rows, with the detected type and missing-value count for each column.
| Column | Type | Missing values |
|---|
Version 1: Listed from the publisher's open-data release.
Original source: api.worldbank.org · CC BY 4.0 — free to reuse with attribution to the World Bank