Criteria Poor Competent Proficient
Explanation of Data (15%) Poor description of data, Variables not properly explained Explanation mostly correct, analysis strategy makes sense given this explanation Explanation entirely correct; variables properly discussed, motivation for choosing data set is clear
Correctness of Code and Output (30%) Fundamental flaws in code, errors when executing it OR important parts are missing R-Code is complete and renders mostly correct results R-Code is entirely correct, the output is always correct
Interpretation of Results and Explanation of Approach (30%) Interpretation missing or flawed, approach is not plausible or does not match interpretation Interpretation is mostly sound and makes sense given chosen approach, only small mistakes Interpretation goes beyond describing results, meaningful explanations without missing important aspects
Clarity of Code (15%) Inconsistent or incomprehensible code OR not reproducible! Clear code with only negligble inconsistencies, reproducible with only minor changes Consistent, clear, reproducible code that runs without any adjustments
Layout (10%) Unclear layout, missing elements, no structure Layout is mostly clear and concise, no central elements are missing Layout clean and consistent, only relevant output, but no important elements missing