Analysis of articles Habrahabr
In 2019, the number of articles increased slightly, but is still decreasing.
Clouds of keywords and individual hubs
Nothing has changed here. The text looks different as I used wordcloud python.
Hub “Mathematics”:
Hub “Programming”:
Hub “Java”:
Open source hub:
Hub “Machine Learning”:
Frequency of occurrence of words
There weren’t enough resources to count all the phrases here. You can see how new terms appear on the example of the word “covid”. In 2013, the term exists because the author supplemented the article in 2020.
Average and total rating by years and months
Average rating over the years:
Overall rating by years:
Average rating by month:
Total rating by months:
Posts with the maximum number
Comments: The fate of the traitor who hijacked the latest MiG-25 to Japan
Rating: Making a private monitor from an old LCD monitor
The number of pluses: Making a private monitor from an old LCD monitor
The number of cons: First post
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