From 11f9175014e6a40263c8b3d417bbcc287ee1fa1b Mon Sep 17 00:00:00 2001
From: Andreas Kapp Lindquist <andkaplin05@gmail.com>
Date: Tue, 28 Oct 2025 11:34:50 +0100
Subject: report(implementation): Quicksort and Insertionsort plot

---
 report/report.tex | 34 +++++++++++++++++++++-------------
 1 file changed, 21 insertions(+), 13 deletions(-)

(limited to 'report')

diff --git a/report/report.tex b/report/report.tex
index bf293b5..5b252ba 100644
--- a/report/report.tex
+++ b/report/report.tex
@@ -9,6 +9,9 @@
 \usepackage{siunitx}
 \usepackage{algorithm2e}
 \usepackage{float}
+\usepackage{caption}
+\usepackage{subcaption}
+
 \geometry{a4paper}
 
 \begin{document}
@@ -246,19 +249,24 @@ output from the \textit{builtin} function \textit{sort}.
 Given all of the tests pass, we can then run \textit{benchmark.sh}, which times
 how long it takes for out program to run with each test file, and saves the
 result in a \textit{csv} file.
+
 \begin{figure}[H]
     \centering
     \begin{tikzpicture}
+
       \begin{axis}[
           xlabel={size},
           ylabel={seconds},
-          % xmode=log,
-          % ymode=log,
+          ymode=log,
+          width=\textwidth,
           legend pos=north west,
           scatter/classes={
-            random={mark=*,red},
-            reverse={mark=*,green},
-            sorted={mark=*,blue}
+            isort_random={mark=*,red},
+            isort_reverse={mark=*,green},
+            isort_sorted={mark=*,blue},
+            qsort_random={mark=*,cyan},
+            qsort_reverse={mark=*,magenta},
+            qsort_sorted={mark=*,yellow}
           }
         ]
 
@@ -268,20 +276,20 @@ result in a \textit{csv} file.
         ]
         table [x=size, y=real, meta=type, col sep=comma]
         {../test/benchmark_results.csv};
-        \legend{random, reverse, sorted}
+        \legend{isort\_random, isort\_reverse, isort\_sorted, qsort\_random, qsort\_reverse, qsort\_sorted}
 
-        \addplot[domain=100:100000, samples=10, thick, densely dotted, black]{x/250000};
-          \addlegendentry{$\mathcal O(\text{size})$}
+        % \addplot[domain=100:100000, samples=10, thick, densely dotted, black]{x/250000};
+        %   \addlegendentry{$\mathcal O(\text{size})$}
+        %
+        % \addplot[domain=100:100000, samples=10, thick, dashed, black]{(x*x)/4000000000};
+        %   \addlegendentry{$\mathcal O(\text{size}^2)$}
 
-        \addplot[domain=100:100000, samples=10, thick, dashed, black]{(x*x)/4000000000};
-
-          \addlegendentry{$\mathcal O(\text{size}^2)$}
       \end{axis}
     \end{tikzpicture}
-    \caption{Benchmarking of Insertion-sort with random data, reversely sorted
-    data, and sorted data.}
+    \caption{}\label{fig:}
 \end{figure}
 
+
 \section{Conclusion}
     
 \end{document}
-- 
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