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

Russia, Jewish Autonomous Region, Governor 2020

electoral card

Official title:

Election of the Governor of the Jewish Autonomous Region

Winner/leader:

Rostislav Goldstein

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Original data source:The CEC of Russia
URL of the source:www.jewish_aut.vybory.izbirkom.ru/region/region/jewish_aut?action=show&root=1&tvd=2792000423738&vrn=2792000423734®ion=79&global=&sub_region=0&prver=0&pronetvd=null&vibid=2792000423738&type=234
Data validation fileRussia_Jewish_AO_Governor_2020.pdf
ParsingShpilkin
Dataset:Russia_Jewish_AO_Governor_2020.zip
Date of verification9/20/2020
Verification of the dataset with the source:

Divergence: 10 votes.

Digital PECs were not included in Shpilkin's parsings in 2020.

The CEC, by introducing the captcha mechanism on its website, deliberately created obstacles for citizens to familiarize themselves with and analyze the election results. This, in turn, reduced the reliability of capturing published data using the Wayback Machine and similar servers.

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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 15779

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 11245

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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