This file requires updating because: Add Kosovo In doing so, you could add a timestamp to the file. Please notify the uploader with {{subst:update-note|1=File:Most popular edition of Wikipedia by country.svg|2=Add Kosovo}} ~~~~

Резюме

This file may be updated to reflect new information. If you wish to use a specific version of the file without new updates being mirrored, please upload the required version as a separate file.

 

This SVG _?_ includes elements from this _?_:

 Countries with blue on their flags.svg (из RainbowSilver2ndBackup).

ОписаниеMost popular edition of Wikipedia by country.svg	English: Most popular edition of Wikipedia by country in December 2022, based on pageviews data from the Wikimedia API. Code used to generate the data: https://github.com/a455bcd9/wikilangtrends See also May 2015 and July 2016 versions, and previous versions below. Only languages most used in at least four territories are shown:   ar - съвременен стандартен арабски (العربية)   de - немски (Deutsch)   en - английски (English)   es - испански (español)   fr - френски (français)   pt - португалски (português)   ru - руски (русский)   zh - китайски (中文)   Other language or Unknown Greyed-out countries usually have their "national" language as the most popular Wikipedia, although there are exceptions. For instance, Afghanistan where the Farsi Wikipedia is the most popular (there is no Dari Wikipedia). Español: La edición más popular de Wikipedia por país en diciembre de 2022, según los datos de páginas vistas de la API de Wikimedia. Código utilizado para generar los datos: https://github.com/a455bcd9/wikilangtrends Consulte también las versiones de mayo de 2015 y julio de 2016, y las versiones anteriores a continuación.   ar - العربية   de - Deutsch   en - English   es - español   fr - français   pt - português   ru - русский   zh - 中文   Otro idioma Português: A edição mais popular da Wikipédia por país em dezembro de 2022, segundo os dados de visualizações das páginas da API da Wikimedia. Código utilizado para gerar os dados: https://github.com/a455bcd9/wikilangtrends Consulte também as versões de maio de 2015 e julho de 2016, e as versões anteriores.   ar - العربية (Árabe)   de - Deutsch (Alemão)   en - English (Inglês)   es - español (Espanhol)   fr - français (Francês)   pt - português (Português)   ru - русский (Russo)   zh - 中文 (Chinês)   Outro idioma
Източник	Собствена творба
Автор	A455bcd9
SVG развитие InfoField	Кодът на това SVG е валиден.   This map was created with unknown tool.   This map uses translateable embedded text.

Лицензиране

Аз, носителят на авторските права над тази творба, я публикувам тук под следния лиценз:

This file is licensed under the Creative Commons Attribution-Share Alike 4.0 International license.

Можете свободно:

• да споделяте – да копирате, разпространявате и излъчвате произведението
• да ремиксирате – да адаптирате произведението

Съгласно следните условия:

• признание на авторството – Трябва да посочите авторството, да добавите връзка към лиценза и да посочите дали са правени промени. Можете да направите това по всякакъв разумен начин, но не и по начин, оставящ впечатлението, че същият/същите подкрепят вас или използването по някакъв начин на творбата от вас.
• споделяне на споделеното – В случай, че промените, видоизмените или използвайки като основа произведението, го надградите, то полученото производно произведение може да се разпространява само съгласно условията на същия или съвместим лиценз с оригиналния такъв.

https://creativecommons.org/licenses/by-sa/4.0CC BY-SA 4.0 Creative Commons Attribution-Share Alike 4.0 truetrue

How to update

• Using Jupyter Notebook, run this code until "Save to file" for the month of the version of this file. For instance, if this file was last updated in December 2022, set analyze_last_month = False and last_month = date(2022, 12, 1) in "Month to analyze". This will save the data from that month in a text file.
• Then, rerun the code from the beginning but this time with analyze_last_month = True to get the latest data from the previous month. So if you're in February 2023, you'll get data from January 2023. Run the code until "Save to file"
• Then run the "Compare 2 months" part and compare the two files you've just created. In our example it would be month_a = '2022-12' (December 2022 data) and month_b = '2023-01' (January 2023 data). This will output the differences between these two files using the following format: [[[:w:ISO 3166-1 alpha-2|ISO 3166-1 alpha-2 country code]]] [[[:w:ISO 639-1|ISO 639-1 language code of the most popular language in that country during month_a]]] ]ISO 639-1 language code of the most popular language in that country during month_a] [True if the most popular language changed, False otherwise]
• Download the SVG file from the current page
• Open the SVG file with Inkscape for editing (you can use some other svg editor)
• Inside Inkscape, click on a country where the most popular language changed ("Compare 2 months" output) and change its color.
• Save the file and upload to the current page as an update ("Upload a new version of this file" below)