Fraud Detection for Political Science

Detect fraud patterns on election datasets
#fraud-detection

What problem does it solve?

This Recipe can extract information regarding Political areas. Moreover, if a party has a doubt regarding the validity or reliability of the outcome of elections, then this tool will help them to identify the trustiness of the results.

Who is it for?

-Journalists
-Politicians
-Researchers
-Political scientists
-Political analysts

What kind of data do you need to upload?

You need to upload a column that has all the number of votes from each voting center. Ideally you need votes from at least 100 voting centers.
The data that are valid for this recipe could be one attribute with continuous values at least 100 in length and must cover several orders of magnitude.
Click here to see an example.

Meet the author

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Elena Chatziapostolou

Bio

Thorough and meticulous Statistician passionate in helping business succeed.
Very knowledgeable in using Statistical tools and methods, a broad understanding of solid Statistical theory as I succeed in Ministry of Finance competition as a tax officer.
Experienced Private Tutor with a demonstrated history of working in the primary/secondary education industry.

Skilled in Mathematical Modeling, MySQL, Data Analysis, Statistics, and SPSS, Python for Data Science.
Strong education professional with a Master in Science - MS focused on Statistics and modeling from the Aristotle University of Thessaloniki (AUTH).

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A + Ω platform gave me the opportunity to sell and market my analysis. It took only a few hours for the team to integrate my code and start promoting my recipe.

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Elena Chatziapostolou
Data Scientist

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