TBFY

Analysis and visualisation of public spending data


Analysis of financial transactions between public entities and privately held companies.



METHODOLOGY


Anomaly detection and visualisation of detected anomalies in spending data could be done by several methods: Average Deviation Anomaly, Jenks Natural Breaks, Period Margin Points Cumulative, Local Extremes Detection and Time Periods Deviations. You can select different anomaly detection methods. Anomalies are detected in the whole dataset or in different industry sectors only.




CONTACT

Jožef Stefan Institute
Jamova cesta 39
1000 Ljubljana


DATA REPOSITORIES

Slovenian procurement data
 
Slovenian transaction data
CREDITS

TheyBuyForYou has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 780247.

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