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

Dataset Manager

Russia, Unified Voting Day 2020

Election card

Official name:

Unified Voting Day 13 September 2020

Wikipedia article:

2020 Russian regional elections

Dataset Composition

The dataset contains complete election data for more than 1,000 districts.

The archive is divided into the following parts:

  • Data for the gubernatorial elections, for 21 September (file "Governors_results_21_Sep_2020_18_40.zip")
  • Data of byelections to the State Duma, for 21 September (file "byelections_Duma_results_21_Sep_2020_17_39.zip")
  • Data from  elections of regional parliaments, for 21 September (file "Reg_parliamens_results_21_Sep_2020_18_17_17.zip")
  • Election data for regional centres, as of 21 September (file "reg_centres_results_21_Sep_2020_17_24.zip")
  • Data on elections in "umnoe_results_21_Sep_202020_18_54.zip" for 21 September (file "umnoe_results_21_Sep_2020_18_54.zip")
  • Data on the movement (attachment/detachment) of voters, regional parliaments, as of 20 September (file "Reg_parliaments_voter_movement.xlsx")
  • Voter movement (attachment/detachment) data, gubernatorial elections, as of 20 September (file "Governors_voter_movement.xlsx")
Availability in the Lab

The following regional head elections are available for study in the Lab:

  • Bryansk Oblast, Governor
  • Jewish Autonomous Okrug, Governor
  • Irkutsk Oblast, Governor
  • Kaluga Oblast, Governor
  • Kamchatka Territory, Governor
  • Kostroma region, Governor
  • Krasnodar Territory, Governor
  • Leningrad Oblast, Governor
  • Penza Oblast, Governor
  • Permsky Krai, Governor
  • Republic of Komi, Head of the Republic
  • Rostov Oblast, Governor
  • Sevastopol, Governor
  • Smolensk Oblast, Governor
  • Tambov Oblast, Governor
  • Tatarstan, President
  • Chuvash Republic, Head

And also

Elections to the City Council of Magnitogorsk (Chelyabinsk Region)

.

Verifications were carried out only for these elections. The results of the verification can be found in the individual election cards in the Navigator for all elections on the site, datasets in the repository and samples available in the Laboratory

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Original data source:The CEC of Russia
URL of the source:www.vybory.izbirkom.ru/region/izbirkom
ParsingShpilkin
Verification of the dataset with the source:

Conciliation results: 

Since the dataset contains elections for more than a thousand districts, the verification with the original source was carried out only for the elections of regional heads. Minor discrepancies detected are related to the peculiarities of data presentation for digital precincts (for more details: in the cards of elections of regional heads).

These discrepancies were not significant.

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

The CEC, by introducing a captcha mechanism on its website, deliberately created obstacles to citizens reading and analysing election results. This, in turn, reduced the reliability of capturing published data using the Wayback Machine and similar servers due their inability to pass captchas.

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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 15996

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 11378

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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