From 4898cdad000903cedbf0fcc86b844e5bf669275f Mon Sep 17 00:00:00 2001
From: Claudio Maggioni <maggicl@usi.ch>
Date: Mon, 24 May 2021 14:41:16 +0200
Subject: [PATCH] done fig v report

---
 .~lock.status.ods#                            |   2 +-
 report/Claudio_Maggioni_report.pdf            | Bin 1210806 -> 718692 bytes
 report/Claudio_Maggioni_report.tex            |   3 +
 report/figures/figure_5.tex                   |  33 +-
 report/figures/figure_5/figure-5-2011.pgf     | 746 ++++++++++++++++++
 report/figures/figure_5/figure-5-a.pgf        | 498 ++++++------
 report/figures/figure_5/figure-5-all.pgf      | 498 ++++++------
 report/figures/figure_5/figure-5-b.pgf        | 498 ++++++------
 report/figures/figure_5/figure-5-c.pgf        | 498 ++++++------
 report/figures/figure_5/figure-5-d.pgf        | 498 ++++++------
 report/figures/figure_5/figure-5-e.pgf        | 498 ++++++------
 report/figures/figure_5/figure-5-f.pgf        | 498 ++++++------
 report/figures/figure_5/figure-5-g.pgf        | 519 ++++++------
 report/figures/figure_5/figure-5-h.pgf        | 498 ++++++------
 report/figures/figure_5/output_6_1.png        | Bin 32936 -> 0 bytes
 report/figures/figure_5/output_6_2.png        | Bin 74027 -> 0 bytes
 report/figures/figure_5/output_6_3.png        | Bin 139194 -> 0 bytes
 report/figures/figure_5/output_6_4.png        | Bin 80093 -> 0 bytes
 report/figures/figure_5/output_6_5.png        | Bin 52608 -> 0 bytes
 report/figures/figure_5/output_6_6.png        | Bin 43467 -> 0 bytes
 report/figures/figure_5/output_6_7.png        | Bin 84816 -> 0 bytes
 report/figures/figure_5/output_6_8.png        | Bin 30303 -> 0 bytes
 report/usiinfbachelorproject.cls              |   2 +-
 .../spatial_resource_waste.ipynb              |  15 +-
 table_iii/table_iii_iv.ipynb                  | 266 ++++---
 25 files changed, 3119 insertions(+), 2451 deletions(-)
 create mode 100644 report/figures/figure_5/figure-5-2011.pgf
 delete mode 100644 report/figures/figure_5/output_6_1.png
 delete mode 100644 report/figures/figure_5/output_6_2.png
 delete mode 100644 report/figures/figure_5/output_6_3.png
 delete mode 100644 report/figures/figure_5/output_6_4.png
 delete mode 100644 report/figures/figure_5/output_6_5.png
 delete mode 100644 report/figures/figure_5/output_6_6.png
 delete mode 100644 report/figures/figure_5/output_6_7.png
 delete mode 100644 report/figures/figure_5/output_6_8.png

diff --git a/.~lock.status.ods# b/.~lock.status.ods#
index 1d934b24..8f081e01 100644
--- a/.~lock.status.ods#
+++ b/.~lock.status.ods#
@@ -1 +1 @@
-,maggicl,p6060,22.05.2021 14:05,file:///home/claudio/.config/libreoffice/4;
\ No newline at end of file
+,maggicl,Apple2gs.local,24.05.2021 14:04,file:///Users/maggicl/Library/Application%20Support/LibreOffice/4;
\ No newline at end of file
diff --git a/report/Claudio_Maggioni_report.pdf b/report/Claudio_Maggioni_report.pdf
index 1fe4e6334bd8b88db2d35cdabda8fc40c26ed337..c52ee91c47e2f9ea73be96c8931c7d00b8060a7c 100644
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diff --git a/report/Claudio_Maggioni_report.tex b/report/Claudio_Maggioni_report.tex
index 45ba1c0a..014213d2 100644
--- a/report/Claudio_Maggioni_report.tex
+++ b/report/Claudio_Maggioni_report.tex
@@ -17,6 +17,9 @@
 \usepackage{array}
 \newcolumntype{C}[1]{>{\centering\arraybackslash}p{#1}}
 \usepgfplotslibrary{external}
+\usepackage{titlesec}
+
+\newcommand{\sectionbreak}{\clearpage}
 
 \addbibresource{references.bib}
 
diff --git a/report/figures/figure_5.tex b/report/figures/figure_5.tex
index fbfcdf2a..f70f272e 100644
--- a/report/figures/figure_5.tex
+++ b/report/figures/figure_5.tex
@@ -1,21 +1,28 @@
-\newcommand{\figureV}[3][0.49\textwidth]{
+\newcommand{\figureV}[2][0.32\textwidth]{
 	\begin{subfigure}{#1}
 	\vspace{0.5cm}
 	\begin{minipage}[c]{\textwidth}%
-		\includegraphics[width=1\textwidth]{figures/figure_5/#3}
+		\resizebox{\textwidth}{!}{\input{figures/figure_5/figure-5-#2.pgf}}
 	\end{minipage}
-	\caption{#2}
 	\end{subfigure}}
 
-\begin{figure}
-\figureV{Cluster A}{output_6_1.png}
-\figureV{Cluster B}{output_6_2.png}
-\figureV{Cluster C}{output_6_3.png}
-\figureV{Cluster D}{output_6_4.png}
-\figureV{Cluster E}{output_6_5.png}
-\figureV{Cluster F}{output_6_6.png}
-\figureV{Cluster G}{output_6_7.png}
-\figureV{Cluster H}{output_6_8.png}
-\caption{Conditional probability of task success given a number of specific unsuccesful events observed, i.e. eviction, fail, kill or lost.}\label{fig:figureV}
+\begin{figure}[p]
+\figureV[0.49\textwidth]{2011}
+\figureV[0.49\textwidth]{all}
+	\caption{Conditional probability of task success given a number of specific
+	unsuccessful events observed, i.e., EVICT, FAIL and KILL for 2011 and 2019 (all clusters aggregated) traces. For 2011 data the probability was computed for a maximum event count of 30, while in 2019 it was computed for up to 50 events of a specific kind.}\label{fig:figureV}
+\end{figure}
+
+\begin{figure}[p]
+\figureV{a}
+\figureV{b}
+\figureV{c}
+\figureV{d}
+\figureV{e}
+\figureV{f}
+\figureV{g}
+\figureV{h}
+\caption{Conditional probability of task success given a number of specific
+	unsuccessful events observed, i.e., EVICT, FAIL and KILL for each cluster in the 2019 traces.}\label{fig:figureV-csts}
 \end{figure}
 
diff --git a/report/figures/figure_5/figure-5-2011.pgf b/report/figures/figure_5/figure-5-2011.pgf
new file mode 100644
index 00000000..3bc3965f
--- /dev/null
+++ b/report/figures/figure_5/figure-5-2011.pgf
@@ -0,0 +1,746 @@
+%% Creator: Matplotlib, PGF backend
+%%
+%% To include the figure in your LaTeX document, write
+%%   \input{<filename>.pgf}
+%%
+%% Make sure the required packages are loaded in your preamble
+%%   \usepackage{pgf}
+%%
+%% Figures using additional raster images can only be included by \input if
+%% they are in the same directory as the main LaTeX file. For loading figures
+%% from other directories you can use the `import` package
+%%   \usepackage{import}
+%%
+%% and then include the figures with
+%%   \import{<path to file>}{<filename>.pgf}
+%%
+%% Matplotlib used the following preamble
+%%   \usepackage{fontspec}
+%%   \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%
+\begingroup%
+\makeatletter%
+\begin{pgfpicture}%
+\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{4.627287in}{3.851564in}}%
+\pgfusepath{use as bounding box, clip}%
+\begin{pgfscope}%
+\pgfsetbuttcap%
+\pgfsetmiterjoin%
+\pgfsetlinewidth{0.000000pt}%
+\definecolor{currentstroke}{rgb}{1.000000,1.000000,1.000000}%
+\pgfsetstrokecolor{currentstroke}%
+\pgfsetstrokeopacity{0.000000}%
+\pgfsetdash{}{0pt}%
+\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}%
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+\pgfpathlineto{\pgfqpoint{4.627287in}{3.851564in}}%
+\pgfpathlineto{\pgfqpoint{0.000000in}{3.851564in}}%
+\pgfpathclose%
+\pgfusepath{}%
+\end{pgfscope}%
+\begin{pgfscope}%
+\pgfsetbuttcap%
+\pgfsetmiterjoin%
+\definecolor{currentfill}{rgb}{1.000000,1.000000,1.000000}%
+\pgfsetfillcolor{currentfill}%
+\pgfsetlinewidth{0.000000pt}%
+\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}%
+\pgfsetstrokecolor{currentstroke}%
+\pgfsetstrokeopacity{0.000000}%
+\pgfsetdash{}{0pt}%
+\pgfpathmoveto{\pgfqpoint{0.652287in}{0.521603in}}%
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+\pgfpathlineto{\pgfqpoint{0.652287in}{3.541603in}}%
+\pgfpathclose%
+\pgfusepath{fill}%
+\end{pgfscope}%
+\begin{pgfscope}%
+\pgfsetbuttcap%
+\pgfsetroundjoin%
+\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}%
+\pgfsetfillcolor{currentfill}%
+\pgfsetlinewidth{0.803000pt}%
+\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}%
+\pgfsetstrokecolor{currentstroke}%
+\pgfsetdash{}{0pt}%
+\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.048611in}}{\pgfqpoint{0.000000in}{0.000000in}}{%
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+}%
+\begin{pgfscope}%
+\pgfsys@transformshift{0.795805in}{0.521603in}%
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+\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
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diff --git a/report/figures/figure_5/figure-5-a.pgf b/report/figures/figure_5/figure-5-a.pgf
index cc97ce0d..f8d8946f 100644
--- a/report/figures/figure_5/figure-5-a.pgf
+++ b/report/figures/figure_5/figure-5-a.pgf
@@ -16,14 +16,14 @@
 %%
 %% Matplotlib used the following preamble
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-%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
-%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
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@@ -72,7 +72,7 @@
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diff --git a/report/figures/figure_5/figure-5-all.pgf b/report/figures/figure_5/figure-5-all.pgf
index 57e46502..cea0dc67 100644
--- a/report/figures/figure_5/figure-5-all.pgf
+++ b/report/figures/figure_5/figure-5-all.pgf
@@ -16,14 +16,14 @@
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 \pgfsys@useobject{currentmarker}{}%
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@@ -180,7 +180,7 @@
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+\pgftext[x=2.230990in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 20}%
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@@ -197,7 +197,7 @@
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@@ -205,7 +205,7 @@
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@@ -222,7 +222,7 @@
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@@ -230,7 +230,7 @@
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diff --git a/report/figures/figure_5/figure-5-b.pgf b/report/figures/figure_5/figure-5-b.pgf
index 5fb4419b..7eeb2958 100644
--- a/report/figures/figure_5/figure-5-b.pgf
+++ b/report/figures/figure_5/figure-5-b.pgf
@@ -16,14 +16,14 @@
 %%
 %% Matplotlib used the following preamble
 %%   \usepackage{fontspec}
-%%   \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
-%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
-%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
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-\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{3.667961in}{2.906596in}}%
+\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{4.627287in}{3.851564in}}%
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 \begin{pgfscope}%
 \pgfsetbuttcap%
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@@ -72,7 +72,7 @@
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-\pgfpathlineto{\pgfqpoint{0.462318in}{2.596635in}}%
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 \begin{pgfscope}%
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diff --git a/report/figures/figure_5/figure-5-c.pgf b/report/figures/figure_5/figure-5-c.pgf
index f12ff1a5..984ce856 100644
--- a/report/figures/figure_5/figure-5-c.pgf
+++ b/report/figures/figure_5/figure-5-c.pgf
@@ -16,14 +16,14 @@
 %%
 %% Matplotlib used the following preamble
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-%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
-%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
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@@ -34,9 +34,9 @@
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@@ -72,7 +72,7 @@
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@@ -97,7 +97,7 @@
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diff --git a/report/figures/figure_5/figure-5-d.pgf b/report/figures/figure_5/figure-5-d.pgf
index 0fe88226..2c34ecd1 100644
--- a/report/figures/figure_5/figure-5-d.pgf
+++ b/report/figures/figure_5/figure-5-d.pgf
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-\pgfpathmoveto{\pgfqpoint{0.462318in}{0.331635in}}%
-\pgfpathlineto{\pgfqpoint{3.562318in}{0.331635in}}%
-\pgfpathlineto{\pgfqpoint{3.562318in}{2.596635in}}%
-\pgfpathlineto{\pgfqpoint{0.462318in}{2.596635in}}%
+\pgfpathmoveto{\pgfqpoint{0.652287in}{0.521603in}}%
+\pgfpathlineto{\pgfqpoint{4.527287in}{0.521603in}}%
+\pgfpathlineto{\pgfqpoint{4.527287in}{3.541603in}}%
+\pgfpathlineto{\pgfqpoint{0.652287in}{3.541603in}}%
 \pgfpathclose%
 \pgfusepath{fill}%
 \end{pgfscope}%
@@ -72,7 +72,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{0.603227in}{0.331635in}%
+\pgfsys@transformshift{0.795805in}{0.521603in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -80,7 +80,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=0.603227in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0}%
+\pgftext[x=0.795805in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -97,7 +97,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{0.879520in}{0.331635in}%
+\pgfsys@transformshift{1.154601in}{0.521603in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -105,7 +105,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=0.879520in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 5}%
+\pgftext[x=1.154601in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 5}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -122,7 +122,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{1.155812in}{0.331635in}%
+\pgfsys@transformshift{1.513398in}{0.521603in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -130,7 +130,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=1.155812in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 10}%
+\pgftext[x=1.513398in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 10}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -147,7 +147,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{1.432104in}{0.331635in}%
+\pgfsys@transformshift{1.872194in}{0.521603in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -155,7 +155,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=1.432104in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 15}%
+\pgftext[x=1.872194in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 15}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -172,7 +172,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{1.708397in}{0.331635in}%
+\pgfsys@transformshift{2.230990in}{0.521603in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -180,7 +180,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=1.708397in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 20}%
+\pgftext[x=2.230990in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 20}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -197,7 +197,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{1.984689in}{0.331635in}%
+\pgfsys@transformshift{2.589787in}{0.521603in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -205,7 +205,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=1.984689in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 25}%
+\pgftext[x=2.589787in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 25}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -222,7 +222,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{2.260981in}{0.331635in}%
+\pgfsys@transformshift{2.948583in}{0.521603in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -230,7 +230,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=2.260981in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 30}%
+\pgftext[x=2.948583in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 30}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -247,7 +247,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{2.537274in}{0.331635in}%
+\pgfsys@transformshift{3.307379in}{0.521603in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -255,7 +255,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=2.537274in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 35}%
+\pgftext[x=3.307379in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 35}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -272,7 +272,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{2.813566in}{0.331635in}%
+\pgfsys@transformshift{3.666175in}{0.521603in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -280,7 +280,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=2.813566in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 40}%
+\pgftext[x=3.666175in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 40}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -297,7 +297,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{3.089858in}{0.331635in}%
+\pgfsys@transformshift{4.024972in}{0.521603in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -305,7 +305,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=3.089858in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 45}%
+\pgftext[x=4.024972in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 45}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -322,7 +322,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{3.366151in}{0.331635in}%
+\pgfsys@transformshift{4.383768in}{0.521603in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -330,32 +330,13 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=3.366151in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 50}%
-\end{pgfscope}%
-\begin{pgfscope}%
-\pgfsetbuttcap%
-\pgfsetroundjoin%
-\definecolor{currentfill}{rgb}{0.000000,0.000000,0.000000}%
-\pgfsetfillcolor{currentfill}%
-\pgfsetlinewidth{0.803000pt}%
-\definecolor{currentstroke}{rgb}{0.000000,0.000000,0.000000}%
-\pgfsetstrokecolor{currentstroke}%
-\pgfsetdash{}{0pt}%
-\pgfsys@defobject{currentmarker}{\pgfqpoint{0.000000in}{-0.048611in}}{\pgfqpoint{0.000000in}{0.000000in}}{%
-\pgfpathmoveto{\pgfqpoint{0.000000in}{0.000000in}}%
-\pgfpathlineto{\pgfqpoint{0.000000in}{-0.048611in}}%
-\pgfusepath{stroke,fill}%
-}%
-\begin{pgfscope}%
-\pgfsys@transformshift{3.421409in}{0.331635in}%
-\pgfsys@useobject{currentmarker}{}%
-\end{pgfscope}%
+\pgftext[x=4.383768in,y=0.424381in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 50}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=3.421409in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont >50}%
+\pgftext[x=2.589787in,y=0.234413in,,top]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont Event count}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -372,7 +353,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{0.462318in}{0.434590in}%
+\pgfsys@transformshift{0.652287in}{0.658876in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -380,7 +361,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=0.276731in, y=0.381828in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0}%
+\pgftext[x=0.466699in, y=0.606115in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 0}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -397,7 +378,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{0.462318in}{0.852816in}%
+\pgfsys@transformshift{0.652287in}{1.207967in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -405,7 +386,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=0.188365in, y=0.800055in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 20}%
+\pgftext[x=0.378334in, y=1.155205in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 20}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -422,7 +403,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{0.462318in}{1.271043in}%
+\pgfsys@transformshift{0.652287in}{1.757058in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -430,7 +411,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=0.188365in, y=1.218281in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 40}%
+\pgftext[x=0.378334in, y=1.704296in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 40}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -447,7 +428,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{0.462318in}{1.689270in}%
+\pgfsys@transformshift{0.652287in}{2.306149in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -455,7 +436,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=0.188365in, y=1.636508in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 60}%
+\pgftext[x=0.378334in, y=2.253387in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 60}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -472,7 +453,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{0.462318in}{2.107496in}%
+\pgfsys@transformshift{0.652287in}{2.855240in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -480,7 +461,7 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
 \pgfsetstrokecolor{textcolor}%
 \pgfsetfillcolor{textcolor}%
-\pgftext[x=0.188365in, y=2.054735in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 80}%
+\pgftext[x=0.378334in, y=2.802478in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 80}%
 \end{pgfscope}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -497,7 +478,7 @@
 \pgfusepath{stroke,fill}%
 }%
 \begin{pgfscope}%
-\pgfsys@transformshift{0.462318in}{2.525723in}%
+\pgfsys@transformshift{0.652287in}{3.404331in}%
 \pgfsys@useobject{currentmarker}{}%
 \end{pgfscope}%
 \end{pgfscope}%
@@ -505,195 +486,198 @@
 \definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
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-\pgftext[x=0.100000in, y=2.472961in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 100}%
+\pgftext[x=0.289968in, y=3.351569in, left, base]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont 100}%
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 \begin{pgfscope}%
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+\definecolor{textcolor}{rgb}{0.000000,0.000000,0.000000}%
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+\pgftext[x=0.234413in,y=2.031603in,,bottom,rotate=90.000000]{\color{textcolor}\sffamily\fontsize{10.000000}{12.000000}\selectfont Prob. of success [\%]}%
+\end{pgfscope}%
+\begin{pgfscope}%
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-\definecolor{currentstroke}{rgb}{0.121569,0.466667,0.705882}%
+\definecolor{currentstroke}{rgb}{0.199462,0.528950,0.739100}%
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-\pgfpathquadraticcurveto{\pgfqpoint{2.587329in}{1.873952in}}{\pgfqpoint{2.615107in}{1.873952in}}%
+\pgfpathmoveto{\pgfqpoint{3.580075in}{2.818921in}}%
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-\pgfpathlineto{\pgfqpoint{2.920662in}{2.414723in}}%
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-\pgfpathlineto{\pgfqpoint{2.920662in}{2.210866in}}%
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diff --git a/report/figures/figure_5/figure-5-e.pgf b/report/figures/figure_5/figure-5-e.pgf
index c9d4ab62..292533b8 100644
--- a/report/figures/figure_5/figure-5-e.pgf
+++ b/report/figures/figure_5/figure-5-e.pgf
@@ -16,14 +16,14 @@
 %%
 %% Matplotlib used the following preamble
 %%   \usepackage{fontspec}
-%%   \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
-%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
-%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
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-\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{3.667961in}{2.906596in}}%
+\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{4.627287in}{3.851564in}}%
 \pgfusepath{use as bounding box, clip}%
 \begin{pgfscope}%
 \pgfsetbuttcap%
@@ -34,9 +34,9 @@
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@@ -72,7 +72,7 @@
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@@ -247,7 +247,7 @@
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+\pgfsys@transformshift{4.024972in}{0.521603in}%
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@@ -305,7 +305,7 @@
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diff --git a/report/figures/figure_5/figure-5-f.pgf b/report/figures/figure_5/figure-5-f.pgf
index 7229e97a..b517c6a8 100644
--- a/report/figures/figure_5/figure-5-f.pgf
+++ b/report/figures/figure_5/figure-5-f.pgf
@@ -16,14 +16,14 @@
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 %% Matplotlib used the following preamble
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+%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
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@@ -197,7 +197,7 @@
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+\pgfsys@transformshift{2.589787in}{0.521603in}%
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diff --git a/report/figures/figure_5/figure-5-g.pgf b/report/figures/figure_5/figure-5-g.pgf
index 673f97bc..18674ecd 100644
--- a/report/figures/figure_5/figure-5-g.pgf
+++ b/report/figures/figure_5/figure-5-g.pgf
@@ -16,14 +16,14 @@
 %%
 %% Matplotlib used the following preamble
 %%   \usepackage{fontspec}
-%%   \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
-%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
-%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
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-\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{3.579596in}{2.906596in}}%
+\pgfpathrectangle{\pgfpointorigin}{\pgfqpoint{4.627287in}{3.851564in}}%
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 \begin{pgfscope}%
 \pgfsetbuttcap%
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@@ -50,10 +50,10 @@
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+\pgfpathmoveto{\pgfqpoint{0.652287in}{0.521603in}}%
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@@ -72,7 +72,7 @@
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@@ -97,7 +97,7 @@
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 \begin{pgfscope}%
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diff --git a/report/figures/figure_5/figure-5-h.pgf b/report/figures/figure_5/figure-5-h.pgf
index f0eb75ea..0c65ccc8 100644
--- a/report/figures/figure_5/figure-5-h.pgf
+++ b/report/figures/figure_5/figure-5-h.pgf
@@ -16,14 +16,14 @@
 %%
 %% Matplotlib used the following preamble
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-%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/mnt/data/git/venv/lib/python3.9/site-packages/matplotlib/mpl-data/fonts/ttf/}]
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+%%   \setmainfont{DejaVuSerif.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setsansfont{DejaVuSans.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
+%%   \setmonofont{DejaVuSansMono.ttf}[Path=\detokenize{/Users/maggicl/opt/anaconda3/lib/python3.8/site-packages/matplotlib/mpl-data/fonts/ttf/}]
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diff --git a/report/usiinfbachelorproject.cls b/report/usiinfbachelorproject.cls
index 7c39851d..821a930a 100644
--- a/report/usiinfbachelorproject.cls
+++ b/report/usiinfbachelorproject.cls
@@ -167,7 +167,7 @@
 \thispagestyle{empty}
 \noindent \includegraphics[width=123mm]{logo-info.pdf}
 \hspace{-0.8mm}\rule[3.6mm]{\textwidth-123mm}{0.2pt}
-\vspace{-20mm}
+\vspace{-18mm}
 \begin{flushright}
 {\Large \textsf{Bachelor Thesis}}
 \end{flushright}
diff --git a/spatial_resource_waste/spatial_resource_waste.ipynb b/spatial_resource_waste/spatial_resource_waste.ipynb
index 07c564fa..981d0b20 100644
--- a/spatial_resource_waste/spatial_resource_waste.ipynb
+++ b/spatial_resource_waste/spatial_resource_waste.ipynb
@@ -3,7 +3,6 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "fbd121e1",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,7 +19,6 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "e6213e81",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -30,7 +28,6 @@
   {
    "cell_type": "code",
    "execution_count": 16,
-   "id": "0ceab723",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -106,7 +103,6 @@
   {
    "cell_type": "code",
    "execution_count": 17,
-   "id": "d8b99ab4",
    "metadata": {},
    "outputs": [
     {
@@ -466,7 +462,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6242cbc1",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -474,7 +469,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2b8d0814",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -482,7 +476,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ca43e76c",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -490,7 +483,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "031484e2",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -498,7 +490,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "60740e10",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -506,9 +497,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "venv",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "venv"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -520,7 +511,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.5"
+   "version": "3.8.3"
   }
  },
  "nbformat": 4,
diff --git a/table_iii/table_iii_iv.ipynb b/table_iii/table_iii_iv.ipynb
index 6a706402..b3001559 100644
--- a/table_iii/table_iii_iv.ipynb
+++ b/table_iii/table_iii_iv.ipynb
@@ -2,8 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "id": "20840d16",
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -15,23 +14,22 @@
     "import matplotlib as mpl\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
+    "import os\n",
     "from IPython.display import display, Markdown"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
-   "id": "3de236df",
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
-    "DIR = \"/home/claudio/hdd/git/bachelorThesis/table_iii/\""
+    "DIR = os.environ[\"HOME\"] + \"/Git/bachelorThesis/table_iii/\""
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
-   "id": "ff58edfc",
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -45,8 +43,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
-   "id": "5dd86c47",
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -68,90 +65,90 @@
       "\\tableIII{A}{\n",
       "\\begin{tabular}{llrrrr}\n",
       "\\toprule\n",
-      " EVICT & 103.228 (719) & 73.694 &  0.769 & 0.000 & 28.766 \\\\\n",
-      "  FAIL &   11.819 (26) &  0.288 & 11.062 & 0.002 &  0.468 \\\\\n",
-      "FINISH &     2.185 (1) &  0.019 &  0.004 & 2.153 &  0.008 \\\\\n",
-      "  KILL &    5.963 (11) &  2.350 &  0.214 & 0.003 &  3.396 \\\\\n",
+      "  EVICT &  103.228 (719) &  73.694 &   0.769 &  0.000 &  28.766 \\\\\n",
+      "   FAIL &    11.819 (26) &   0.288 &  11.062 &  0.002 &   0.468 \\\\\n",
+      " FINISH &      2.185 (1) &   0.019 &   0.004 &  2.153 &   0.008 \\\\\n",
+      "   KILL &     5.963 (11) &   2.350 &   0.214 &  0.003 &   3.396 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "}\n",
       "\\tableIII{B}{\n",
       "\\begin{tabular}{llrrrr}\n",
       "\\toprule\n",
-      " EVICT & 83.018 (394) & 64.817 &  0.240 & 0.000 & 17.962 \\\\\n",
-      "  FAIL &  20.851 (62) &  0.518 & 19.657 & 0.001 &  0.675 \\\\\n",
-      "FINISH &    2.995 (4) &  0.020 &  0.021 & 2.943 &  0.012 \\\\\n",
-      "  KILL &   9.173 (12) &  3.351 &  0.276 & 0.004 &  5.541 \\\\\n",
+      "  EVICT &  83.018 (394) &  64.817 &   0.240 &  0.000 &  17.962 \\\\\n",
+      "   FAIL &   20.851 (62) &   0.518 &  19.657 &  0.001 &   0.675 \\\\\n",
+      " FINISH &     2.995 (4) &   0.020 &   0.021 &  2.943 &   0.012 \\\\\n",
+      "   KILL &    9.173 (12) &   3.351 &   0.276 &  0.004 &   5.541 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "}\n",
       "\\tableIII{C}{\n",
       "\\begin{tabular}{llrrrr}\n",
       "\\toprule\n",
-      " EVICT & 98.437 (444) & 73.716 &  1.813 & 0.000 & 22.908 \\\\\n",
-      "  FAIL &  52.010 (30) &  0.773 & 48.446 & 2.035 &  0.756 \\\\\n",
-      "FINISH &    2.507 (2) &  0.018 &  0.013 & 2.471 &  0.006 \\\\\n",
-      "  KILL &    5.452 (6) &  1.533 &  0.116 & 0.004 &  3.799 \\\\\n",
+      "  EVICT &  98.437 (444) &  73.716 &   1.813 &  0.000 &  22.908 \\\\\n",
+      "   FAIL &   52.010 (30) &   0.773 &  48.446 &  2.035 &   0.756 \\\\\n",
+      " FINISH &     2.507 (2) &   0.018 &   0.013 &  2.471 &   0.006 \\\\\n",
+      "   KILL &     5.452 (6) &   1.533 &   0.116 &  0.004 &   3.799 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "}\n",
       "\\tableIII{D}{\n",
       "\\begin{tabular}{llrrrr}\n",
       "\\toprule\n",
-      " EVICT & 76.759 (366) & 62.001 &  0.700 & 0.000 & 14.058 \\\\\n",
-      "  FAIL &  62.314 (62) &  0.496 & 58.968 & 0.810 &  2.040 \\\\\n",
-      "FINISH &    3.877 (2) &  0.059 &  0.019 & 3.789 &  0.010 \\\\\n",
-      "  KILL &    6.795 (6) &  1.960 &  0.151 & 0.002 &  4.682 \\\\\n",
+      "  EVICT &  76.759 (366) &  62.001 &   0.700 &  0.000 &  14.058 \\\\\n",
+      "   FAIL &   62.314 (62) &   0.496 &  58.968 &  0.810 &   2.040 \\\\\n",
+      " FINISH &     3.877 (2) &   0.059 &   0.019 &  3.789 &   0.010 \\\\\n",
+      "   KILL &     6.795 (6) &   1.960 &   0.151 &  0.002 &   4.682 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "}\n",
       "\\tableIII{E}{\n",
       "\\begin{tabular}{llrrrr}\n",
       "\\toprule\n",
-      " EVICT &  17.678 (72) & 11.781 &   0.106 & 0.000 &  5.791 \\\\\n",
-      "  FAIL & 112.384 (28) &  0.458 & 111.471 & 0.000 &  0.456 \\\\\n",
-      "FINISH &    2.029 (2) &  0.014 &   0.008 & 1.999 &  0.008 \\\\\n",
-      "  KILL &  13.505 (64) &  1.288 &   0.057 & 0.000 & 12.160 \\\\\n",
+      "  EVICT &   17.678 (72) &  11.781 &    0.106 &  0.000 &   5.791 \\\\\n",
+      "   FAIL &  112.384 (28) &   0.458 &  111.471 &  0.000 &   0.456 \\\\\n",
+      " FINISH &     2.029 (2) &   0.014 &    0.008 &  1.999 &   0.008 \\\\\n",
+      "   KILL &   13.505 (64) &   1.288 &    0.057 &  0.000 &  12.160 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "}\n",
       "\\tableIII{F}{\n",
       "\\begin{tabular}{llrrrr}\n",
       "\\toprule\n",
-      " EVICT & 70.146 (114) & 23.974 &  0.192 & 0.000 & 45.980 \\\\\n",
-      "  FAIL &  41.087 (54) &  0.279 & 39.257 & 0.000 &  1.550 \\\\\n",
-      "FINISH &    3.129 (4) &  0.019 &  0.004 & 3.008 &  0.098 \\\\\n",
-      "  KILL &  10.288 (38) &  0.384 &  0.098 & 0.001 &  9.804 \\\\\n",
+      "  EVICT &  70.146 (114) &  23.974 &   0.192 &  0.000 &  45.980 \\\\\n",
+      "   FAIL &   41.087 (54) &   0.279 &  39.257 &  0.000 &   1.550 \\\\\n",
+      " FINISH &     3.129 (4) &   0.019 &   0.004 &  3.008 &   0.098 \\\\\n",
+      "   KILL &   10.288 (38) &   0.384 &   0.098 &  0.001 &   9.804 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "}\n",
       "\\tableIII{G}{\n",
       "\\begin{tabular}{llrrrr}\n",
       "\\toprule\n",
-      " EVICT & 136.032 (490) & 77.429 & 0.303 &  0.000 & 58.299 \\\\\n",
-      "  FAIL &     8.948 (8) &  0.016 & 8.593 &  0.000 &  0.339 \\\\\n",
-      "FINISH &    14.176 (2) &  0.015 & 0.002 & 14.154 &  0.005 \\\\\n",
-      "  KILL &  32.320 (164) &  6.909 & 0.135 &  0.000 & 25.276 \\\\\n",
+      "  EVICT &  136.032 (490) &  77.429 &  0.303 &   0.000 &  58.299 \\\\\n",
+      "   FAIL &      8.948 (8) &   0.016 &  8.593 &   0.000 &   0.339 \\\\\n",
+      " FINISH &     14.176 (2) &   0.015 &  0.002 &  14.154 &   0.005 \\\\\n",
+      "   KILL &   32.320 (164) &   6.909 &  0.135 &   0.000 &  25.276 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "}\n",
       "\\tableIII{H}{\n",
       "\\begin{tabular}{llrrrr}\n",
       "\\toprule\n",
-      " EVICT &  14.734 (40) & 6.733 &  0.837 & 0.000 &  7.165 \\\\\n",
-      "  FAIL & 41.067 (120) & 0.600 & 37.600 & 0.000 &  2.867 \\\\\n",
-      "FINISH &    3.681 (2) & 0.024 &  0.014 & 3.633 &  0.011 \\\\\n",
-      "  KILL &  17.976 (98) & 0.633 &  0.170 & 0.000 & 17.173 \\\\\n",
+      "  EVICT &   14.734 (40) &  6.733 &   0.837 &  0.000 &   7.165 \\\\\n",
+      "   FAIL &  41.067 (120) &  0.600 &  37.600 &  0.000 &   2.867 \\\\\n",
+      " FINISH &     3.681 (2) &  0.024 &   0.014 &  3.633 &   0.011 \\\\\n",
+      "   KILL &   17.976 (98) &  0.633 &   0.170 &  0.000 &  17.173 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "}\n",
       "\\tableIII{ALL}{\n",
       "\\begin{tabular}{llrrrr}\n",
       "\\toprule\n",
-      " EVICT & 78.710 (342) & 52.242 &  0.673 & 0.000 & 25.795 \\\\\n",
-      "  FAIL &  24.962 (26) &  0.290 & 23.635 & 0.348 &  0.691 \\\\\n",
-      "FINISH &    2.962 (2) &  0.022 &  0.012 & 2.915 &  0.013 \\\\\n",
-      "  KILL &   8.763 (16) &  1.876 &  0.143 & 0.003 &  6.741 \\\\\n",
+      "  EVICT &  78.710 (342) &  52.242 &   0.673 &  0.000 &  25.795 \\\\\n",
+      "   FAIL &   24.962 (26) &   0.290 &  23.635 &  0.348 &   0.691 \\\\\n",
+      " FINISH &     2.962 (2) &   0.022 &   0.012 &  2.915 &   0.013 \\\\\n",
+      "   KILL &    8.763 (16) &   1.876 &   0.143 &  0.003 &   6.741 \\\\\n",
       "\\bottomrule\n",
       "\\end{tabular}\n",
       "}\n"
@@ -181,8 +178,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
-   "id": "cea0e71e",
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -202,58 +198,58 @@
      "output_type": "stream",
      "text": [
       "\\tableIV{A}{\n",
-      " EVICT &    0.000 (0) &   NaN &   NaN &   NaN &   NaN \\\\\n",
-      "  FAIL & 90.793 (499) & 0.695 & 0.684 & 0.086 & 1.850 \\\\\n",
-      "FINISH &    1.187 (1) & 0.005 & 0.001 & 1.073 & 0.024 \\\\\n",
-      "  KILL &  16.533 (10) & 1.045 & 0.074 & 0.461 & 1.189 \\\\\n",
+      "  EVICT &     0.000 (0) &    NaN &    NaN &    NaN &    NaN \\\\\n",
+      "   FAIL &  90.793 (499) &  0.695 &  0.684 &  0.086 &  1.850 \\\\\n",
+      " FINISH &     1.187 (1) &  0.005 &  0.001 &  1.073 &  0.024 \\\\\n",
+      "   KILL &   16.533 (10) &  1.045 &  0.074 &  0.461 &  1.189 \\\\\n",
       "}\n",
       "\\tableIV{B}{\n",
-      " EVICT &    1.000 (1) & 1.000 & 0.000 & 0.000 & 0.000 \\\\\n",
-      "  FAIL & 74.368 (374) & 2.003 & 1.994 & 0.267 & 4.944 \\\\\n",
-      "FINISH &   6.304 (10) & 0.022 & 0.008 & 2.349 & 0.013 \\\\\n",
-      "  KILL & 69.853 (234) & 1.696 & 0.158 & 0.614 & 3.009 \\\\\n",
+      "  EVICT &     1.000 (1) &  1.000 &  0.000 &  0.000 &  0.000 \\\\\n",
+      "   FAIL &  74.368 (374) &  2.003 &  1.994 &  0.267 &  4.944 \\\\\n",
+      " FINISH &    6.304 (10) &  0.022 &  0.008 &  2.349 &  0.013 \\\\\n",
+      "   KILL &  69.853 (234) &  1.696 &  0.158 &  0.614 &  3.009 \\\\\n",
       "}\n",
       "\\tableIV{C}{\n",
-      " EVICT &     1.000 (1) & 1.001 & 0.000 & 0.000 & 0.000 \\\\\n",
-      "  FAIL &  41.982 (200) & 3.484 & 0.998 & 0.376 & 3.998 \\\\\n",
-      "FINISH &     1.991 (1) & 0.022 & 0.017 & 1.565 & 0.017 \\\\\n",
-      "  KILL & 110.681 (652) & 0.627 & 0.059 & 0.656 & 2.267 \\\\\n",
+      "  EVICT &      1.000 (1) &  1.001 &  0.000 &  0.000 &  0.000 \\\\\n",
+      "   FAIL &   41.982 (200) &  3.484 &  0.998 &  0.376 &  3.998 \\\\\n",
+      " FINISH &      1.991 (1) &  0.022 &  0.017 &  1.565 &  0.017 \\\\\n",
+      "   KILL &  110.681 (652) &  0.627 &  0.059 &  0.656 &  2.267 \\\\\n",
       "}\n",
       "\\tableIV{D}{\n",
-      " EVICT &    1.000 (1) & 1.000 & 0.000 & 0.000 & 0.000 \\\\\n",
-      "  FAIL & 43.356 (250) & 6.112 & 0.949 & 0.531 & 6.498 \\\\\n",
-      "FINISH &    2.109 (2) & 0.268 & 0.013 & 1.723 & 0.019 \\\\\n",
-      "  KILL & 89.648 (283) & 1.013 & 0.054 & 0.283 & 3.256 \\\\\n",
+      "  EVICT &     1.000 (1) &  1.000 &  0.000 &  0.000 &  0.000 \\\\\n",
+      "   FAIL &  43.356 (250) &  6.112 &  0.949 &  0.531 &  6.498 \\\\\n",
+      " FINISH &     2.109 (2) &  0.268 &  0.013 &  1.723 &  0.019 \\\\\n",
+      "   KILL &  89.648 (283) &  1.013 &  0.054 &  0.283 &  3.256 \\\\\n",
       "}\n",
       "\\tableIV{E}{\n",
-      " EVICT &    1.000 (1) & 1.000 & 0.000 & 0.000 & 0.000 \\\\\n",
-      "  FAIL &  23.081 (25) & 0.247 & 0.666 & 0.717 & 1.588 \\\\\n",
-      "FINISH &    7.776 (2) & 0.019 & 0.029 & 1.934 & 0.021 \\\\\n",
-      "  KILL & 88.790 (309) & 0.706 & 0.029 & 0.461 & 7.572 \\\\\n",
+      "  EVICT &     1.000 (1) &  1.000 &  0.000 &  0.000 &  0.000 \\\\\n",
+      "   FAIL &   23.081 (25) &  0.247 &  0.666 &  0.717 &  1.588 \\\\\n",
+      " FINISH &     7.776 (2) &  0.019 &  0.029 &  1.934 &  0.021 \\\\\n",
+      "   KILL &  88.790 (309) &  0.706 &  0.029 &  0.461 &  7.572 \\\\\n",
       "}\n",
       "\\tableIV{F}{\n",
-      " EVICT &     1.000 (1) & 1.000 & 0.000 & 0.000 & 0.000 \\\\\n",
-      "  FAIL &    17.161 (8) & 0.621 & 0.546 & 0.426 & 7.559 \\\\\n",
-      "FINISH &     2.941 (2) & 0.015 & 0.051 & 1.670 & 0.162 \\\\\n",
-      "  KILL & 103.889 (361) & 0.183 & 0.064 & 0.417 & 5.824 \\\\\n",
+      "  EVICT &      1.000 (1) &  1.000 &  0.000 &  0.000 &  0.000 \\\\\n",
+      "   FAIL &     17.161 (8) &  0.621 &  0.546 &  0.426 &  7.559 \\\\\n",
+      " FINISH &      2.941 (2) &  0.015 &  0.051 &  1.670 &  0.162 \\\\\n",
+      "   KILL &  103.889 (361) &  0.183 &  0.064 &  0.417 &  5.824 \\\\\n",
       "}\n",
       "\\tableIV{G}{\n",
-      " EVICT &    1.000 (1) & 1.000 & 0.000 & 0.000 &  0.000 \\\\\n",
-      "  FAIL & 51.835 (250) & 0.556 & 3.335 & 0.608 & 20.352 \\\\\n",
-      "FINISH &   8.519 (36) & 0.002 & 0.630 & 1.760 &  0.005 \\\\\n",
-      "  KILL & 37.055 (100) & 5.687 & 0.065 & 0.080 & 19.166 \\\\\n",
+      "  EVICT &     1.000 (1) &  1.000 &  0.000 &  0.000 &   0.000 \\\\\n",
+      "   FAIL &  51.835 (250) &  0.556 &  3.335 &  0.608 &  20.352 \\\\\n",
+      " FINISH &    8.519 (36) &  0.002 &  0.630 &  1.760 &   0.005 \\\\\n",
+      "   KILL &  37.055 (100) &  5.687 &  0.065 &  0.080 &  19.166 \\\\\n",
       "}\n",
       "\\tableIV{H}{\n",
-      " EVICT &  1.000 (1) & 1.000 & 0.000 & 0.000 &  0.000 \\\\\n",
-      "  FAIL & 20.504 (1) & 0.114 & 2.300 & 0.981 & 12.833 \\\\\n",
-      "FINISH & 4.278 (14) & 0.005 & 0.153 & 1.778 &  0.014 \\\\\n",
-      "  KILL & 11.023 (3) & 0.235 & 0.103 & 0.288 & 11.337 \\\\\n",
+      "  EVICT &   1.000 (1) &  1.000 &  0.000 &  0.000 &   0.000 \\\\\n",
+      "   FAIL &  20.504 (1) &  0.114 &  2.300 &  0.981 &  12.833 \\\\\n",
+      " FINISH &  4.278 (14) &  0.005 &  0.153 &  1.778 &   0.014 \\\\\n",
+      "   KILL &  11.023 (3) &  0.235 &  0.103 &  0.288 &  11.337 \\\\\n",
       "}\n",
       "\\tableIV{ALL}{\n",
-      " EVICT &    0.989 (1) & 1.000 & 0.000 & 0.000 &  0.000 \\\\\n",
-      "  FAIL & 43.126 (200) & 0.114 & 2.300 & 0.981 & 12.833 \\\\\n",
-      "FINISH &    3.074 (2) & 0.005 & 0.153 & 1.778 &  0.014 \\\\\n",
-      "  KILL & 53.919 (178) & 0.235 & 0.103 & 0.288 & 11.337 \\\\\n",
+      "  EVICT &     0.989 (1) &  1.000 &  0.000 &  0.000 &   0.000 \\\\\n",
+      "   FAIL &  43.126 (200) &  0.114 &  2.300 &  0.981 &  12.833 \\\\\n",
+      " FINISH &     3.074 (2) &  0.005 &  0.153 &  1.778 &   0.014 \\\\\n",
+      "   KILL &  53.919 (178) &  0.235 &  0.103 &  0.288 &  11.337 \\\\\n",
       "}\n"
      ]
     }
@@ -298,8 +294,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
-   "id": "6763138f",
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -308,15 +303,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
-   "id": "dc0714c9",
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 288x216 with 1 Axes>"
+       "<Figure size 360x288 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -326,9 +320,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 288x216 with 1 Axes>"
+       "<Figure size 360x288 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -338,9 +332,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 288x216 with 1 Axes>"
+       "<Figure size 360x288 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -350,9 +344,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 288x216 with 1 Axes>"
+       "<Figure size 360x288 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -362,9 +356,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 288x216 with 1 Axes>"
+       "<Figure size 360x288 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -374,9 +368,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 288x216 with 1 Axes>"
+       "<Figure size 360x288 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -386,9 +380,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
       "text/plain": [
-       "<Figure size 288x216 with 1 Axes>"
+       "<Figure size 360x288 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -398,9 +392,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 288x216 with 1 Axes>"
+       "<Figure size 360x288 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -410,9 +404,9 @@
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
-       "<Figure size 288x216 with 1 Axes>"
+       "<Figure size 360x288 with 1 Axes>"
       ]
      },
      "metadata": {
@@ -424,7 +418,8 @@
    "source": [
     "def figure_5_plot(df, cluster):\n",
     "    dft = {}\n",
-    "    plt.figure(figsize=(4,3))\n",
+    "    _, ax = plt.subplots(figsize=(5,4))\n",
+    "    colors = plt.cm.Spectral([0.9, 0.3, 0.8, 0.1])\n",
     "    for i in [4,5,7]:\n",
     "        dft[i] = df[[\"count_\" + str(i), \"succ\", \"non\"]].copy()\n",
     "        dft[i] = dft[i].groupby(\"count_\" + str(i)).sum().reset_index()\n",
@@ -445,14 +440,15 @@
     "\n",
     "        del dft[i][\"succ\"]\n",
     "        del dft[i][\"non\"]\n",
-    "        plt.xticks([0,5,10,15,20,25,30,35,40,45,50,51])\n",
+    "        plt.xticks([0,5,10,15,20,25,30,35,40,45,50])\n",
     "        \n",
     "        ys = []\n",
     "        for j in range(0, max_count + 2):\n",
     "            a = dft[i][dft[i][\"count_\" + str(i)] == j]\n",
     "            ys.append(0 if a.empty else a[\"perc\"].squeeze() * 100)\n",
+    "        \n",
     "     \n",
-    "        plt.plot([x if x < 51 else \">50\" for x in range(0,52)], ys)\n",
+    "        plt.plot([x for x in range(0,51)], ys[:-1], color=colors[i-4])\n",
     "        if cluster == \"all\":\n",
     "            plt.title(\"2019 data\")\n",
     "        elif cluster == \"2011\":\n",
@@ -460,6 +456,10 @@
     "        else:\n",
     "            plt.title(\"Cluster \" + cluster.upper())\n",
     "    lgd = plt.legend([\"EVICT\", \"FAIL\", \"KILL\"])\n",
+    "    plt.xlabel(\"Event count\")\n",
+    "    plt.xlim([-2,52])\n",
+    "    plt.ylim([-5,105])\n",
+    "    plt.ylabel(\"Prob. of success [%]\")\n",
     "    plt.savefig('../report/figures/figure_5/figure-5-%s.pgf' % cluster, \n",
     "                bbox_extra_artists=(lgd,), bbox_inches='tight')\n",
     "\n",
@@ -477,10 +477,51 @@
     "figure_5_plot(df, \"all\")"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 360x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "EVICT2011 = [70,41,35,30,26,23,22,21,20,19,18,17,16,15,\n",
+    "             14,13,12,11,10,9,8,7,6,5,4,3,2,1,0,0]\n",
+    "KILL2011  = [70, 1,34,18,17,15,15,16,14,14,12, 8, 0, 0,\n",
+    "              0, 0, 0, 0, 0,0,0,0,0,0,0,0,0,0,0,0]\n",
+    "FAIL2011  = [70,17, 5, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
+    "              0, 0, 0, 0, 0,0,0,0,0,0,0,0,0,0,0,0]\n",
+    "\n",
+    "dft = {}\n",
+    "_, ax = plt.subplots(figsize=(5,4))\n",
+    "colors = plt.cm.Spectral([0.9, 0.3, 0.8, 0.1])\n",
+    "for i,S in [(4,EVICT2011),(5,FAIL2011),(7,KILL2011)]:\n",
+    "    plt.xticks([0,5,10,15,20,25,30,35,40,45,50])\n",
+    "    plt.plot([x for x in range(0,len(S))], S, color=colors[i-4])\n",
+    "    plt.title(\"2011 data\")\n",
+    "lgd = plt.legend([\"EVICT\", \"FAIL\", \"KILL\"])\n",
+    "plt.xlabel(\"Event count\")\n",
+    "plt.xlim([-2,52])\n",
+    "plt.ylim([-3,103])\n",
+    "plt.ylabel(\"Prob. of success [%]\")\n",
+    "plt.savefig('../report/figures/figure_5/figure-5-2011.pgf', \n",
+    "            bbox_extra_artists=(lgd,), bbox_inches='tight')\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e095a31e",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -488,7 +529,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a4898bed",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -496,9 +536,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "venv",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "venv"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -510,7 +550,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.5"
+   "version": "3.8.3"
   }
  },
  "nbformat": 4,