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Roman Udot "Referendum in Armenia 2015 in Numbers and Diagrams"

Roman Udot "Referendum in Armenia 2015 in Numbers and Diagrams"

Roman Udot "Referendum in Armenia 2015 in Numbers and Diagrams"

Presentation at the II Round Table of Mathematicians

 
Previous Article II Round Table of Mathematicians. Boris Ovchinnikov.
Next Article Mateusz Bajek "The era of new opportunities: video observation and statistics combined (Russian Presidential elections 2018)"
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Elections in the article

Armenia Referendum 2015

Summary of the Referendum Election Armenia in 2015
Wikipedia article.

For you, researchers:

Electoral data is available for download and independent analysis.

Data report

Original data source:CEC of the Republic of Armenia
URL of the source:res.elections.am
Data validation file06.12.15n.pdf
Dataset:Preliminary results at 4-391.xlsx
Verification of the dataset with the source:

There is no need for verification because official data and the dataset are of a single source.

in the Lab

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On the same topic

Mateusz Bajek "The era of new opportunities: video observation and statistics combined (Russian Presidential elections 2018)"

Mateusz Bajek "The Age of New Opportunities: Video Surveillance and Statistics Together" (Russian Presidential Elections 2018)

Mateusz Bajek "The Age of New Opportunities: Video Surveillance and Statistics Together" (Russian Presidential Elections 2018)

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"

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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