hugolpz / Sparql2Data

Given SPARQL queries, save responses into corresponding persistent files, daily. Served via github page, accessible quickly via xhr.
https://hugolpz.github.io/Sparql2Data/
MIT License
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Visualize growth trend with historic SPARQL queries #22

Open hugolpz opened 9 months ago

hugolpz commented 9 months ago

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 commented 8 months ago

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.