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

RUElectionData Telegram channel
External Sources Manager

RUElectionData Telegram channel

Open Data on Russian Elections

The RUElectionData telegram channel began functioning on 1 March 2018. 

Unique data quality: the regularity of the CEC website parsing. One of the most striking achievements of the telegram channel: revealing the rewriting of the results of the 2018 gubernatorial election in Primorsky Krai in the second round. 

RUElectionData.
Source of data:

CEC of the Russian Federation

Parsing time:

Regular parsing during the election and a few days after.

Regular parsing during the election and a few days after.

 

Data format:

Delivered in zip archives. Json, csv, tsv data format

Data completeness:

Data may include supporting information on turnout during voting, PEC information, voter movement and others. Data does not include numerical precincts and complex cases of commission hierarchy. 

Remarked shortcomings:

PECs for Distant Electronic Voting are absent (as of 13.09.2020). Rare and complex cases of the hierarchy of election commissions are not reflected. For example, the inclusion of the Nenets Autonomous District in the data of the Arkhangelsk region for the 13.09.2020 gubernatorial election. Verification by total values is recommended.

 

 

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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 16700

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 11935

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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