Field Studies

Checking the Quality of Testing and Analysis Results

One challenge of automated data analysis is that of checking the results. There is potential for errors in testing, and in data analysis which can both be caught quickly when manually analyzing data. This post provides some methods of doing the same error checking with automated processes, and provides example Python code.