Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Visualize growth trend with historic SPARQL queries #22

Open
hugolpz opened this issue Dec 4, 2023 · 1 comment
Open

Visualize growth trend with historic SPARQL queries #22

hugolpz opened this issue Dec 4, 2023 · 1 comment

Comments

@hugolpz
Copy link
Owner

hugolpz commented Dec 4, 2023

I would like to expand visualization graphs such as shown here in order to increase understanding of trends.

Sources of inspirations on LinguaLibre:Stats/Time

Status Focus Added semantic value Visualization Code pad
Records per months Shows overall recording trend gdoc paws
Active languages per months Shows overall diversity and popularity trend gdoc paws
Active speakers per months Shows overall participants trend gdoc paws
Monthly cumulative Shows overall cumulative evolution - paws
HAL publications HAL Open Archive Publications, yearly - paws
🕐 Records per languages (rows) and per months (columns) Shows when a language starts to be active and how it progresses along time
🕐 Active speakers per languages (rows) and per months (columns) Idem, but with focus on participants.
Ratio women/men per month Shows temporal trends of female
Ratio Indo-European languages per month Shows temporal trends for non-western languages
Ratio macro/medium/minority languages per month Shows temporal trends for non-western languages

Example

Screenshot from 2023-12-04 14-28-27

@hugolpz
Copy link
Owner Author

hugolpz commented Dec 16, 2023

Hello @KazeNoOni, if you know someone willing to investigate gender on Lingualibre, then there is the possibility to hack the Jupyter notebooks Python, mapplotlib, SPARQL cited above to create percent stacked area chart matplotlib. That could enlighten the monthly gender imbalance on the project.

Bonjour @KazeNoOni, si vous connaissez quelqu'un prêt à enquêter sur le genre + Lingualibre, il est possible de hacker les notebooks Jupyter Python, mapplotlib, SPARQL cités ci-dessus pour créer pourcentage de diagramme en aires empilées matplotlib. Cela mettrait en évidence part des enregistrement féminins vs masculins par année ou mois.

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

No branches or pull requests

1 participant