Practical guide · Argentina

CSV data in Argentina: sources and checks

By datafromgov.com · Published 2026-10-28

Source export: 2026-08-30

The counts describe a saved catalogue. Check the source for current files and terms.

The saved catalogue lists 3,359 resource records with a CSV label across 22 publishers.

This guide identifies sources in Argentina and gives a procedure for the format.

The measurements describe the export dated 2026-08-30. They do not establish current download availability.

Open the government source →Inspect the country catalogue

Matching format declarations
3,359
Publishers in this sample
22
Share of listed declarations
50.3%

What the source records show

The selected country export contains 6,679 listed format declarations across 22 publishers.

CSV accounts for 50.3% of that declaration total.

A resource record describes a file or a service. Several records can belong to one dataset.

The export retains up to 20 format labels per publisher. It excludes some small publishers and empty format labels.

Choose a source

The largest matching entry is Subsecretaría de Programación Macroeconómica.

It contributes 666 matching resource records, or 19.8% of this format sample.

The next entry contributes 456 matching records.

A large count indicates more catalogue records. It does not establish accuracy, completeness, or public access.

  1. Open a source record from the examples below.
  2. Confirm the geographic area and observation period on the source page.
  3. Read the licence for the selected dataset.
  4. Select the required file or service from the source page.

Inspect the format

CSV stores table rows as text. A delimiter separates the fields.

  1. Confirm the delimiter and character encoding.
  2. Import identifiers as text to preserve leading zeroes.
  3. Compare the number of fields in each row.
  4. Check decimal symbols and date formats before calculations.
  5. Retain blank cells until the source defines their meaning.

Check the result

A format label does not verify the file contents. A source can change its files after the catalogue export.

A metadata modification date can describe a catalogue edit. It does not necessarily describe the latest observation.

  1. Record the source URL, access date, and dataset title.
  2. Check the units and the definitions of the fields.
  3. Compare a small sample with the source documentation.
  4. Retain an original copy before any conversion.
  5. State any missing periods, regions, or values in the result.

How this comparison works

The calculation sums listed format declarations from the publisher export.

It groups equivalent format labels and retains separate counts for XLS, XLSX, TIFF, and GeoTIFF.

Compound labels can remain outside the selected format group. The source files retain the original labels.

The source records can include several versions of the same data. The totals do not count unique observations.

The examples are selections from stored catalogue samples. They do not list every matching dataset.

Publishers with this format

Dataset examples from the source catalogue

These titles come from stored source records. Some records lack a direct dataset URL.

Sources and method

This article combines catalogue measurements with a reusable technical procedure. The calculations use the dated export above.

Dataset titles remain subject to the source terms. Read the portal source details.

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