% This file is embedded in datatool-user.pdf version 3.4.4 2026-07-31
% Example 68 Row aggregate actions
% Label: "ex:rowaggregates"
% arara: pdflatex
% arara: pdfcrop
\documentclass[12pt]{article}
\pagestyle{empty}
% sample CSV file:
\begin{filecontents}[noheader,overwrite]{studentmarks.csv}
Surname,Forename,StudentNo,Assign1,Assign2,Assign3
"Smith, Jr",John,102689,68,57,72
"Brown",Jane,102647,75,84,80
"Brown",Jane,102646,64,92,79
"Brown",Andy,103569,42,52,54
"Adams",Zoë,105987,52,48,57
"Brady",Roger,106872,68,60,62
"Verdon",Clare,104356,45,50,48
\end{filecontents}


\usepackage{datatool}


% Load data from studentmarks.csv file:
\DTLsetup{store-datum,default-name=marks}
\DTLread{studentmarks.csv} 
\begin{document}
Map data: 

\DTLmapdata[name=marks]{
 \DTLmapget{key=Forename} \DTLmapget{key=Surname} average marks:
 \DTLaction[
  columns={4-},
  options={mean}
  ]{row aggregate}
 \DTLuse{mean}. 

} 

For each: 

\DTLforeach{marks}{\Forename=Forename,\Surname=Surname}{
 \Forename\ \Surname\ 
 average mark:
 \DTLaction[
  columns={4-},
  options={mean}
  ]{current row aggregate}
 \DTLuse{mean}. 

} 

Row selection: 

\dtlgetrowforvalue{marks}{\dtlcolumnindex{marks}{StudentNo}}{105987}
Student 105987 average mark:
\DTLaction[
 columns={4-},
 options={mean}
]{current row aggregate}
\DTLuse{mean}. 
\end{document}
