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Maxim Ya. Most Criminal Election 2019

Maxim Ya. Most Criminal Election 2019
EG
/ Categories: Articles by geography, Russia, Bashkortostan (Rep. of), Volgograd Oblast, Zabaykalsky Krai, Kalmykia (Republic of), Unimodality, Dependence of results on the turnout, Integer percentages, Observation, Strings of Gabdulvaleev, Geographical Anomalies, Investigations of this type, Investigations of this type, Investigations of this type, Investigations of this type, Investigations of this type, Investigations of this type, Investigations of this type, Events, StatContest 2019. The Criminal Top Three, Verdict of Electoral.Graphics

Maxim Ya. Most Criminal Election 2019

Homework from Maxim Y. for the course "Visualizing Democracy"

 
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Elections in the article

Russia, Unified Voting Day 2019

Details
Official title:

The single day of voting is 8 September 2019

Wikipedia article:

Unified day of voting 8 September 2019

Lab Note:

.

This dataset includes the 16 2019 gubernatorial elections:

  • Election of the Head of the Lipetsk Region Administration
  • Election of the Head of the Altai Republic
  • Election of the Head of the Republic of Bashkortostan
  • Election of the Head of the Republic of Kalmykia
  • Election of the Governor of the Astrakhan Oblast
  • Election of the Governor of the Volgograd Region
  • Election of the Governor of the Vologda Oblast
  • Election of the Governor of the Kurgan region
  • Election of the Governor of Kursk region
  • Election of the Governor of the Murmansk region
  • Election of the Governor of the Orenburg region
  • Election of the Governor of St. Petersburg
  • Election of the Governor of the Stavropol Territory
  • Elections of the Governor of the Chelyabinsk region
  • Election of the Governor of the Zabaikalsky Krai
  • Election of the Governor of the Sakhalin Region

All of them have been uploaded to the Lab and are available for your analysis.

Full dataset for the 2019 EDG elections is available on the Golos Movement website at Elections Calendar section.  

The polling station with a turnout of 117% is an error of the Bashkortostan election commission in the data of digital polling station #9011 (see CEC website)

 

For you, researchers:

Electoral data is available for download and independent analysis.

Data report

Original data source:The CEC of RF
URL of the source:izbirkom.ru/region/izbirkom
ParsingGolos
Dataset:RussiaGovernors2019.zip
Verification of the dataset with the source:

Results of verification:

not applicable.

in the Lab
Electoral Dossier

In the dossier

  • Assignment: find the top three most criminal elections of EDG 2019
  • Dmitry V. The most criminal elections 2019
  • Stats 2019. "Correct Answers". The most criminal EDG elections of 2019 according to EG
  • Maxim Ya. Most Criminal Election 2019
  • Natalia Z. The most suspicious elections 2019

On the same topic

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 graphical visualization and turnout counting based on video recordings from polling stations"

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" Azat Gabdulvaleev "Graphical visualization of open data as a simple way to detect anomalies in voting results"

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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