Data Processing

The Open Pit of the Udachnaya Diamond Mine, ©Stapanov Alexander

Data analysts spend 80% of their time on data processing, even though computers can perform these task much faster, with far less errors, and they can document the process automatically. Data processing can be shared: an analyst in a company and an analyst in an NGO does not have to reprocess the very same data twice*

See our blogpost How We Add Value to Public Data With Imputation and Forecasting?.

Daniel Antal
Daniel Antal
Data Scientist & Founder of the Digital Music Observatory

My research interests include reproducible social science, economics and finance.