🖧 Technology & Internet

Public Dataset Format Shift

Tracking dataset format changes

Observations
4
Tracking since
Last updated

Percentage of CSV Datasets

The proportion of discovered dataset entries associated with CSV format

2 observations · measured in %

4.0%
100
▬ 0.0% vs previous
01 Aug 2026 17:30
Percentage of CSV Datasets (%) — summary, all time.
0.0%1.0%2.0%3.0%4.0%17:2217:2617:30100: 4.0% — 01 Aug 2026 17:22100: 4.0% — 01 Aug 2026 17:30
Percentage of CSV Datasets (%) — line, all time.
0.0%1.0%2.0%3.0%4.0%17:2217:2617:30100: 4.0% — 01 Aug 2026 17:22100: 4.0% — 01 Aug 2026 17:30
Percentage of CSV Datasets (%) — area, all time.
  • 1004.0%
Percentage of CSV Datasets (%) — bar, all time.
  • 1004.0%
Percentage of CSV Datasets (%) — dot plot, all time.
Percentage of CSV Datasets observations
WhenPercentage of CSV Datasets
4.0%
4.0%
Percentage of CSV Datasets (%) — table, all time.

Percentage of JSON Datasets

The proportion of discovered dataset entries associated with JSON format

2 observations · measured in %

1.0%
100
▬ 0.0% vs previous
01 Aug 2026 17:30
Percentage of JSON Datasets (%) — summary, all time.
0.0%0.2%0.4%0.6%0.8%1.0%17:2217:2617:30100: 1.0% — 01 Aug 2026 17:22100: 1.0% — 01 Aug 2026 17:30
Percentage of JSON Datasets (%) — line, all time.
0.0%0.2%0.4%0.6%0.8%1.0%17:2217:2617:30100: 1.0% — 01 Aug 2026 17:22100: 1.0% — 01 Aug 2026 17:30
Percentage of JSON Datasets (%) — area, all time.
  • 1001.0%
Percentage of JSON Datasets (%) — bar, all time.
  • 1001.0%
Percentage of JSON Datasets (%) — dot plot, all time.
Percentage of JSON Datasets observations
WhenPercentage of JSON Datasets
1.0%
1.0%
Percentage of JSON Datasets (%) — table, all time.

About this data

This page tracks the percentage of public datasets in CSV and JSON formats. The numbers are based on an analysis of available datasets. Tracking changes in dataset formats is important because it indicates data accessibility and usability for various applications and users. The data is regularly updated to reflect the latest trends and shifts in dataset formats. By monitoring these changes, users can better understand the evolving landscape of public data and make informed decisions about data usage and integration. The insights gained from this data can also inform decisions about investing in tools and infrastructure to support specific dataset formats.

Sources

Every figure on this page was read from these pages.

Why this isn't published anywhere else

While there are existing resources that discuss dataset shift and provide access to public datasets, none of them specifically track changes in public dataset formats to indicate data accessibility, leaving a gap for a dedicated tracker.

Uniqueness score 0.80 — assessed against live web search results when this subject was created.