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Thursday, May 9, 2024
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Roman Udot "Elections in Figures. Using Open Data to Detect Falsification"

Roman Udot "Elections in Figures. Using Open Data to Detect Falsification"
Roman Udot
/ Categories: Unimodality, Dependence of results on the turnout, Kiesling-Shpilkin method, Strings of Gabdulvaleev, Investigations of this type, Investigations of this type, Investigations of this type, Investigations of this type, Investigations of this type, Investigations of this type, Investigations of this type, II Round Table, Slides and presentations

Roman Udot "Elections in Figures. Using Open Data to Detect Falsification"

Presentation at the II Round Table of Mathematicians

How to explain statistical methods to an eight-year-old child.

An introduction to researchers and their methods. 

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

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

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

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

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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