Dossier on the Election in the Lab

Dossier on the election available in the Lab -a collection of election information from our site. All materials where this election is mentioned.

Election Cards

Maxim N. The most rigged election of 2019

Maxim N. The most rigged election of 2019

Homework from Maxim N. for the course "Visualizing Democracy"

Hello.

I am late in sending the assignment.

I came to the conclusion that the election results were most rigged in Kursk region, Kalmykia and Zabaikalsky Krai. I used a scatter diagram (scatter-plotter). The roads of the winners are clearly steeply going upwards, while the competitors are lying in dead layers.

Regards,
Maxim N.

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Laboratory comments:

It is worth noting that Maxim correctly pointed out the problem regions, but as in any diagnosis we need comprehensiveness. Falsification affects many natural laws and upsets the balance of many relationships. Therefore, looking through the eyepieces of various instruments, i.e., studying the various aspects of such an intervention adds reliability to the diagnosis and credibility to the investigation.


 

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RF Unified E-Day 2019

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Articles on the Elections

Azat Gabdulvaleev "Analysis of election results in the city of Grozny using graphical visualization and turnout counting based on video recordings from polling stations"

Presentation at the II Round Table of Mathematicians

Azat Gabdulvaleev 0 16031

Azat Gabdulvaleev "Analysis of election results in the city of Grozny using graphic visualization and turnout counting based on video recordings from polling stations

The subject of the study is the capital of the Chechen Republic - the city of Grozny. It should be said that Chechnya consistently shows superloyal results in elections at any level.

Azat Gabdulvaleev "Graphical visualization of open data as a simple way to detect anomalies in voting results"

Presentation at the II Round Table of Mathematicians

Azat Gabdulvaleev 0 11383

One such method is graphical visualization of open data. There is little or no math involved, but the charts can immediately identify some anomalies and indicate areas that need more detailed investigation.

So you can visualize open data in a graphical way.

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