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, Kamchatka Territory, Governor 2020

electoral card

Official title:

Early elections for Governor of Kamchatka Krai

Winner/leader:

Vladimir Solodov

Wikipedia article:

Выборы губернатора Камчатского края (2020)

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Original data source:The CEC of Russia
URL of the source:www.kamchatka_krai.vybory.izbirkom.ru/region/region/kamchatka_krai?action=show&root=1&tvd=2412000526935&vrn=2412000526931®ion=91&global=&sub_region=0&prver=0&pronetvd=null&vibid=2412000526935&type=234
Data validation filescreenshot.zip
ParsingShpilkin
Dataset:Kamchatka Governor 2020.zip
Date of verification10/3/2020
Verification of the dataset with the source:

Reconciliation result: Discrepancy in 21 registered voters, 10 ballots (missing digital PEC due to technical reasons). Reconciliation result: Discrepancy in 21 registered voters, 10 ballots (missing digital PEC due to technical reason).

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

Reliability of fixation by CEC creation of obstacles to data collection and data analysis by captcha.

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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 15982

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 11376

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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