Skip to content

Eurostat Data Marriages_by_sex_and_previous_marital_status & Population_on_1_January_by_age_and_sex#2051

Open
pravnkumar-cloudsufi wants to merge 5 commits into
datacommonsorg:masterfrom
cloudsufi:eurostat_data_marriage_population
Open

Eurostat Data Marriages_by_sex_and_previous_marital_status & Population_on_1_January_by_age_and_sex#2051
pravnkumar-cloudsufi wants to merge 5 commits into
datacommonsorg:masterfrom
cloudsufi:eurostat_data_marriage_population

Conversation

@pravnkumar-cloudsufi
Copy link
Copy Markdown

@pravnkumar-cloudsufi pravnkumar-cloudsufi commented Jun 1, 2026

PL Checklist: https://drive.google.com/corp/drive/folders/1KR9Cd4AEgSzeI7I2x2mR0iTAicos4_tG?resourcekey=0-USjPGypctswXXvC-3avmoA

Import Name:
Marriages by sex and previous marital status - EuroStat_Marriages_by_sex_and_previous_marital_status
Population on 1 January by age and sex - EuroStat_Population_on_1_January_by_age_and_sex

Copy link
Copy Markdown
Contributor

@gemini-code-assist gemini-code-assist Bot left a comment

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Code Review

This pull request introduces two new Eurostat statistical variable imports: "Marriages by sex and previous marital status" and "Population on 1 January by age and sex". Each import includes metadata, property-value mappings, place resolution configurations, automated execution scripts, and test datasets. Feedback on the changes suggests mapping the infant cohort Y_LT1 to [0 0 Years] in the population property-value map instead of ignoring it, which prevents data loss for this critical age group.

@pravnkumar-cloudsufi pravnkumar-cloudsufi force-pushed the eurostat_data_marriage_population branch from 4431f27 to 3ec1c92 Compare June 3, 2026 15:01
@pravnkumar-cloudsufi
Copy link
Copy Markdown
Author

@gemini-code-assist

@gemini-code-assist
Copy link
Copy Markdown
Contributor

Hello! I've reviewed the pull request for the Eurostat datasets. The configuration files (pvmap.csv, metadata.csv), scripts (run.sh), and documentation (README.md) look well-structured and follow the established patterns for this repository.

One minor observation: in statvar_imports/eurostat/Marriages_by_sex_and_previous_marital_status/Marriages_by_sex_and_previous_marital_status_pvmap.csv, you have a few empty lines and some trailing commas in the geography section. While the processor is likely robust enough to handle these, cleaning them up can improve maintainability.

Otherwise, the implementation appears correct and ready for import.

Removed extra blank lines from the CSV file.
@pravnkumar-cloudsufi
Copy link
Copy Markdown
Author

@gemini-code-assist

@gemini-code-assist
Copy link
Copy Markdown
Contributor

Hello! I'm here. As mentioned in my previous review, the pull request is well-structured. Once you've had a chance to address the minor cleanup in the pvmap.csv files, the implementation is ready for import. Let me know if you have any other questions!

@pravnkumar-cloudsufi
Copy link
Copy Markdown
Author

@gemini-code-assist

@gemini-code-assist
Copy link
Copy Markdown
Contributor

Hello! I understand you're looking for further assistance. As I noted in my previous comments, the structure of your pull request is excellent and follows the repository's patterns. The only remaining step is to perform the minor cleanup of the pvmap.csv files (removing empty lines and trailing commas). Once that is done, the implementation is ready for import. Please let me know if you have any specific questions about those files or the import process!

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants