wikipedia_abuse_checker VS plotly

The code for the project is available at https://github.com/shijithpk/wikipedia_abuse_checker.

Hi, my name is Shijith, and I'm a freelance data journalist from India (Worked previously at Hindustan Times and IndiaSpend).

Just posting a data story I did recently about wikipedia abuse in India. Such abuse is an old problem, but it's getting more media attention with users distorting facts on pages about the Delhi riots or farmer protests. Sometimes users engage in straight out vandalism where they delete whole sections from a page.

I tried to determine which wikipedia pages faced the most abuse this year, and also introduce a twitter account that allows people to track wikipedia abuse weekly.

This is the twitter account for tracking wikipedia abuse every week: http://twitter.com/abuse_checker

And here's the python code I used for the project: https://github.com/shijithpk/wikipedia_abuse_checker

(Am in the process of re-working the code. Right now it's querying the wikipedia API every week for edit histories of over 150k articles, and the whole run is taking 2 days now. Discovered an API endpoint for recent changes that should make things more efficient.)

Have any questions or feedback, do let me know below!

Github: https://github.com/plotly/plotly.py

First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.

my good dude wake up and smell the plotly. Knowing the ins and outs of matplotlib is helpful but doing interactive stuff with jupyter I always use plotly.

Plotly documentation (https://plotly.com/python/)

I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.

Plotly GitHub repository: https://github.com/plotly/plotly.py

I'm using plotly.py now. This is why I love this community.

Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.