freilauf-gw.Rnw

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\title{\glqq Auf 01\grqq\ -- Die Unfallstatistik der Polizei}
\author{Gero Walter\\ \url{mailto:gero@gmx.at}\\ \url{https://github.com/geeeero/unfallstatistik-ms-2016}}
\institute{Freilauf-Festival}
\date{2018-08-25}

\begin{document}

\frame{
\titlepage
}

<<startup, include=FALSE>>=
opts_chunk$set(warning = FALSE, message = FALSE, echo = FALSE, cache = TRUE,
               out.height = "0.9\\textheight", fig.height = 5)
# libraries
library(ggplot2)
library(productplots)
library(reshape2)
library(gridExtra)
library(knitr)
library(xtable)
@

<<loaddfs, include=FALSE, cache=FALSE>>=
source("einlesen2016.R")
source("specialdfs.R")
@

\begin{frame}{Die Unfallstatistik der örtlichen Polizei:\\ eine große Excel-Tabelle}
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{screenshots/excel1}};}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{screenshots/excel2}};}
\uncover<3>{\node {\includegraphics[height=0.9\textheight]{screenshots/excel3}};}
\end{tikzpicture}
\end{frame}

\begin{frame}{Der Datensatz}
\begin{itemize}
\item \Sexpr{dim(vums2016gnamed)[1]} Unfälle
\item Zeit \& Ort (\play\ Gerald)
\item Beteiligte, Folgen, Ursachen, Unfalltyp\\ codiert in 2- bzw.\ 3-stelligen Nummern
\item Alter der Beteiligten, Fahrerflucht, \ldots
\item \Sexpr{sum(vums2016gnamed$Folgen == "T")} Unfälle mit Toten,
 \Sexpr{sum(vums2016gnamed$Folgen == "SV")} mit Schwer-,
 \Sexpr{sum(vums2016gnamed$Folgen == "LV")} mit Leichtverletzten
%\item \Sexpr{dim(kfzbet)[1]} Unfälle mit KFZ-Beteiligung,\\
% \Sexpr{dim(radbet)[1]} mit Radfahrerbeteiligung,\\
% \Sexpr{dim(fusbet)[1]} mit Fußgängerbeteiligung
\item \Sexpr{dim(kfzbet)[1]} KFZ-Unfälle,\\
 \hspace*{2.1ex}\Sexpr{dim(radbet)[1]} Radfahrer-Unfälle,\\
 \hspace*{2.1ex}\Sexpr{dim(fusbet)[1]} Fußgänger-Unfälle
\end{itemize}
\end{frame}

\begin{frame}{Unfallbeteiligte}
<<kreuztabelle, include=FALSE>>=
# Spalten: X01, Zeilen: X02
krtab <- table(vums2016g$X02g, vums2016g$X01g, useNA = "ifany")
@
\begin{tikzpicture}
\node at (0,0) {\parbox{0.8\textwidth}{%
\large
\setlength{\tabcolsep}{10pt}
\renewcommand{\arraystretch}{1.5}
\begin{tabular}{r|r||rrrr}
 & & \multicolumn{4}{c}{Hauptverursacher} \\
\hline
 & & Fuß & KFZ & Rad & sonst \\ 
\hline\hline
\multirow{5}{*}{\rotatebox{90}{Zweitbeteiligter}}
 & Fuß   & \Sexpr{krtab[1,1]} & \Sexpr{krtab[1,2]} & \Sexpr{krtab[1,3]} & \Sexpr{krtab[1,4]} \\ 
 & KFZ   & \Sexpr{krtab[2,1]} & \Sexpr{krtab[2,2]} & \Sexpr{krtab[2,3]} & \Sexpr{krtab[2,4]} \\ 
 & Rad   & \Sexpr{krtab[3,1]} & \Sexpr{krtab[3,2]} & \Sexpr{krtab[3,3]} & \Sexpr{krtab[3,4]} \\ 
 & sonst & \Sexpr{krtab[4,1]} & \Sexpr{krtab[4,2]} & \Sexpr{krtab[4,3]} & \Sexpr{krtab[4,4]} \\
 & <NA>  & \Sexpr{krtab[5,1]} & \Sexpr{krtab[5,2]} & \Sexpr{krtab[5,3]} & \Sexpr{krtab[5,4]} \\
\hline
\end{tabular}
}};
\uncover<2>{%
\draw[red, very thick] (-1.8, -0.42) rectangle ++(6.2, 0.75);
\draw[red, very thick] (-0.25, -2.55) rectangle ++(1.2, 3.55);
\node at (6, 0) {\parbox{10ex}{\large\color{red}KFZ-\\ Unfälle:\\
\Sexpr{round(100*dim(kfzbet)[1]/dim(vums2016)[1], 0)}\%}};
}
\uncover<3>{%
\draw[red, very thick] (-1.8, -1.17) rectangle ++(6.2, 0.75);
\draw[red, very thick] ( 1.3, -2.55) rectangle ++(1.2, 3.55);
\node at (6, -0.75) {\parbox{10ex}{\large\color{red}Rad-\\ Unfälle \\
\Sexpr{round(100*dim(radbet)[1]/dim(vums2016)[1], 0)}\%}};
}
\uncover<4>{%
\draw[red, very thick] (-1.8, -2.55) rectangle ++(6.2, 0.6);
\node at (2, -3.2) {\parbox{14ex}{\large\color{red}Alleinunfälle: 
\Sexpr{round(100*sum(is.na(vums2016$X02))/dim(vums2016)[1], 0)}\%}};
}
\end{tikzpicture}
\end{frame}

\begin{frame}{Alleinunfälle}
<<alleinunf, include = FALSE, fig.width = 4, fig.height = 4>>=
alleinunf <- ggplot(subset(vums2016gnamed, is.na(Zweitbeteiligter)), aes(x = Hauptverursacher, fill = Folgen)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 4)) +
  xlab("") + ylab("Anzahl Alleinunfälle")
alleinunf
@
<<alleinunfFolgen, include = FALSE, fig.width = 4, fig.height = 4>>=
alleinunfFolgen <- ggplot(subset(vums2016gnamed, is.na(Zweitbeteiligter)), aes(x = Hauptverursacher, fill = Folgen)) + 
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  xlab("") + ylab("Anzahl Alleinunfälle")
alleinunfFolgen
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/alleinunf-1}};
\path[fill=white] (2.25,-0.9) rectangle ++(1.5,3);}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{figure/alleinunfFolgen-1}};}
\end{tikzpicture}
\end{frame}

\begin{frame}{Unfallbeteiligte}
<<verursacherX01, include = FALSE>>=
verursacherX01 <- prodplot(subset(vums2016gnamed, !is.na(Zweitbeteiligter)),
                           ~ Hauptverursacher, mosaic(direction="h")) + #ylab("Zweitbeteiligter") + 
  scale_y_continuous(name = "Zweitbeteiligter") +
  theme(axis.text.y = element_text(colour = "white", margin = margin(l = 6)),
        axis.title.y = element_text(colour = "white"),
        axis.ticks.y = element_line(colour = "white")) +
  aes(fill = Hauptverursacher) + scale_fill_manual(values = rep("white", 4), name = "Zweitbeteiligter")
verursacherX01
@
<<verursacherMosaic, include = FALSE>>=
verursacherMosaic <- prodplot(subset(vums2016gnamed, !is.na(Zweitbeteiligter)),
                              ~ Zweitbeteiligter + Hauptverursacher, mosaic()) + 
  aes(fill = Zweitbeteiligter) + scale_fill_brewer(palette = "Blues")
verursacherMosaic
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/verursacherX01-1}};
\path[fill=white] (3.5,-0.75) rectangle ++(2,2);}
\uncover<2->{\node {\includegraphics[height=0.9\textheight]{figure/verursacherMosaic-1}};}
\uncover<3>{%
\draw[fill=red] (-4.12, 3.12) rectangle ++(5.9,  0.35);
\draw[fill=red] ( 1.85, 1.45 ) rectangle ++(0.3, -4.15);
}
\end{tikzpicture}
\end{frame}

% KFZ vs Rad

\begin{frame}{Unfälle KFZ--Rad\uncover<2>{: Folgen}}
<<kfzvsrad, include = FALSE, fig.keep = "all", fig.width = 4, fig.height = 4>>=
kfzvsrad1 <- ggplot(KFZvsRad, aes(x = Hauptverursacher, fill = Folgen)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 4)) +
  ylab("Anzahl Unfälle")
kfzvsrad1
kfzvsrad2 <- ggplot(KFZvsRad, aes(x = Hauptverursacher, fill = Folgen)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  ylab("Anzahl Unfälle")
kfzvsrad2
kfzvsradtab <- round(100*prop.table(table(KFZvsRad$Hauptverursacher)), 0)
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsrad-1}};
\path[fill=white] (2.25,-0.9) rectangle ++(1.5,3);
\node[fill=white] at (-1.6, -2.5) {\Sexpr{kfzvsradtab[1]}\%};
\node[fill=white] at ( 0.7, -2.5) {\Sexpr{kfzvsradtab[2]}\%};}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsrad-2}};}
\end{tikzpicture}
\end{frame}

\begin{frame}{Unfälle KFZ--Rad: Ursachen}
<<kfzvsradur, include = FALSE, fig.keep = "all">>=
kfzvsradur1 <- ggplot(KFZvsRad, aes(x = Ursache, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 2)) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip()
kfzvsradur1
kfzvsradur2 <- ggplot(KFZvsRad, aes(x = Ursache, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip()
kfzvsradur2
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsradur-1}};
\path[fill=white] (3.3,-0.75) rectangle ++(2,2);}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsradur-2}};}
\end{tikzpicture}
\end{frame}

\begin{frame}{Unfälle KFZ--Rad: Unfalltypen \uncover<3>{\small (nur Unfälle m.\ Toten u.\ Verletzten)}}
<<kfzvsradtyp, include = FALSE, fig.keep = "all">>=
kfzvsradtyp1 <- ggplot(KFZvsRad, aes(x = Typg, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 2)) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip(ylim = c(0, 250))
kfzvsradtyp1
kfzvsradtyp2 <- ggplot(KFZvsRad, aes(x = Typg, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip(ylim = c(0, 250))
kfzvsradtyp2
kfzvsradtyp3 <- ggplot(subset(KFZvsRad, Folgen %in% c("T", "SV", "LV")), aes(x = Typg, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip(ylim = c(0, 250))
kfzvsradtyp3
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsradtyp-1}};
\path[fill=white] (3.3,-0.75) rectangle ++(2,2);}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsradtyp-2}};}
\uncover<3>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsradtyp-3}};}
\end{tikzpicture}
\end{frame}

% KFZ vs Fuß

\begin{frame}{Unfälle KFZ--Fuß\uncover<2>{: Folgen}}
<<kfzvsfus, include = FALSE, fig.keep = "all", fig.width = 4, fig.height = 4>>=
kfzvsfus1 <- ggplot(KFZvsFus, aes(x = Hauptverursacher, fill = Folgen)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 4)) +
  ylab("Anzahl Unfälle")
kfzvsfus1
kfzvsfus2 <- ggplot(KFZvsFus, aes(x = Hauptverursacher, fill = Folgen)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  ylab("Anzahl Unfälle")
kfzvsfus2
kfzvsfustab <- round(100*prop.table(table(KFZvsFus$Hauptverursacher)), 0)
kfzvsfus3 <- ggplot(KFZvsFus, aes(x = Hauptverursacher, fill = Folgen)) +
  geom_bar(position = "dodge") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  ylab("Anzahl Unfälle")
kfzvsfus3
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsfus-1}};
\path[fill=white] (2.25,-0.9) rectangle ++(1.5,3);
\node[fill=white] at (-1.6, -2.5) {\Sexpr{kfzvsfustab[1]}\%};
\node[fill=white] at ( 0.7, -2.5) {\Sexpr{kfzvsfustab[2]}\%};}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsfus-2}};}
\end{tikzpicture}
\end{frame}

\begin{frame}{Unfälle KFZ--Fuß: Ursachen}
<<kfzvsfusur, include = FALSE, fig.keep = "all">>=
kfzvsfusur1 <- ggplot(KFZvsFus, aes(x = Ursache, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 2)) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip()
kfzvsfusur1
kfzvsfusur2 <- ggplot(KFZvsFus, aes(x = Ursache, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip()
kfzvsfusur2
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsfusur-1}};
\path[fill=white] (3.3,-0.75) rectangle ++(2,2);}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsfusur-2}};}
\end{tikzpicture}
\end{frame}

\begin{frame}{Unfälle KFZ--Fuß: Unfalltypen \uncover<3>{\small (nur Unfälle m.\ Toten u.\ Verletzten)}}
<<kfzvsfustyp, include = FALSE, fig.keep = "all">>=
kfzvsfustyp1 <- ggplot(KFZvsFus, aes(x = Typg, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 2)) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip(ylim = c(0, 55))
kfzvsfustyp1
kfzvsfustyp2 <- ggplot(KFZvsFus, aes(x = Typg, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip(ylim = c(0, 55))
kfzvsfustyp2
KFZvsFusnurTSVLV <- subset(KFZvsFus, Folgen %in% c("T", "SV", "LV"))
# bad hack to still display Typg category not appearing in KFZvsFusnurTSVLV
dummyrow <- KFZvsFusnurTSVLV[1,]
dummyrow$Typg <- "Unfall im Längsverkehr"
dummyrow$Hauptverursacher <- NA
KFZvsFusnurTSVLV <- rbind(KFZvsFusnurTSVLV, dummyrow)
kfzvsfustyp3 <- ggplot(KFZvsFusnurTSVLV, aes(x = Typg, fill = Hauptverursacher)) +
#kfzvsfustyp3 <- ggplot(subset(KFZvsFus, Folgen %in% c("T", "SV", "LV")), aes(x = Typg, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip(ylim = c(0, 55))
kfzvsfustyp3
kfzvsfustyp4 <- ggplot(KFZvsFusnurTSVLV, aes(x = Typg, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 2)) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip(ylim = c(0, 55))
kfzvsfustyp4
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsfustyp-1}};
\path[fill=white] (3.3,-0.75) rectangle ++(2,2);}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsfustyp-2}};}
\uncover<3>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsfustyp-3}};}
\end{tikzpicture}
\end{frame}

% Rad vs Fuß

\begin{frame}{Unfälle Rad--Fuß\uncover<2>{: Folgen}}
<<radvsfus, include = FALSE, fig.keep = "all", fig.width = 4, fig.height = 4>>=
radvsfus1 <- ggplot(RadvsFus, aes(x = Hauptverursacher, fill = Folgen)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 4)) +
  ylab("Anzahl Unfälle")
radvsfus1
radvsfus2 <- ggplot(RadvsFus, aes(x = Hauptverursacher, fill = Folgen)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  ylab("Anzahl Unfälle")
radvsfus2
radvsfustab <- round(100*prop.table(table(RadvsFus$Hauptverursacher)), 0)
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/radvsfus-1}};
\path[fill=white] (2.25,-0.9) rectangle ++(1.5,3);
\node[fill=white] at (-1.6, -2.5) {\Sexpr{radvsfustab[1]}\%};
\node[fill=white] at ( 0.7, -2.5) {\Sexpr{radvsfustab[2]}\%};}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{figure/radvsfus-2}};}
\end{tikzpicture}
\end{frame}

\begin{frame}{Unfälle Rad--Fuß: Ursachen}
<<radvsfusur, include = FALSE, fig.keep = "all">>=
radvsfusur1 <- ggplot(RadvsFus, aes(x = Ursache, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 2)) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip()
radvsfusur1
radvsfusur2 <- ggplot(RadvsFus, aes(x = Ursache, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip()
radvsfusur2
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/radvsfusur-1}};
\path[fill=white] (3.3,-0.75) rectangle ++(2,2);}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{figure/radvsfusur-2}};}
\end{tikzpicture}
\end{frame}

\begin{frame}{Unfälle Rad--Fuß: Unfalltypen \uncover<3>{\small (nur Unfälle m.\ Toten u.\ Verletzten)}}
<<radvsfustyp, include = FALSE, fig.keep = "all">>=
radvsfustyp1 <- ggplot(RadvsFus, aes(x = Typg, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 2)) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip(ylim = c(0, 55))
radvsfustyp1
radvsfustyp2 <- ggplot(RadvsFus, aes(x = Typg, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip(ylim = c(0, 55))
radvsfustyp2
radvsfustyp3 <- ggplot(subset(RadvsFus, Folgen %in% c("T", "SV", "LV")), aes(x = Typg, fill = Hauptverursacher)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  xlab("") + ylab("Anzahl Unfälle") + coord_flip(ylim = c(0, 55))
radvsfustyp3
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/radvsfustyp-1}};
\path[fill=white] (3.3,-0.75) rectangle ++(2,2);}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{figure/radvsfustyp-2}};}
\uncover<3>{\node {\includegraphics[height=0.9\textheight]{figure/radvsfustyp-3}};}
\end{tikzpicture}
\end{frame}

% Übersicht KFZ vs Rad vs Fuß mit Folgen

\begin{frame}{Übersicht Unfälle KFZ--Rad--Fuß\uncover<2>{: Folgen}}
<<kfzvsradvsfus, include = FALSE, fig.keep = "all", fig.width = 6, fig.height = 4>>=
KFZvsRadvsFus <- rbind(data.frame(KFZvsRad, Gegner = "KFZ vs Rad"),
                       data.frame(KFZvsFus, Gegner = "KFZ vs Fuß"),
                       data.frame(RadvsFus, Gegner = "Rad vs Fuß"))
KFZvsRadvsFus$Gegner <- factor(KFZvsRadvsFus$Gegner, levels = c("KFZ vs Rad", "KFZ vs Fuß", "Rad vs Fuß"))
kfzvsradvsfus1 <- ggplot(KFZvsRadvsFus, aes(x = Hauptverursacher, fill = Folgen)) +
  geom_bar(position = "stack") + scale_fill_manual(values = rep("light blue", 4)) +
  facet_wrap(~ Gegner, scales='free_x') +
  ylab("Anzahl Unfälle")
kfzvsradvsfus1
kfzvsradvsfus2 <- ggplot(KFZvsRadvsFus, aes(x = Hauptverursacher, fill = Folgen)) +
  geom_bar(position = "stack") + scale_fill_brewer(palette = "YlOrRd", direction = -1) +
  facet_wrap(~ Gegner, scales='free_x') +
  ylab("Anzahl Unfälle")
kfzvsradvsfus2
@
\begin{tikzpicture}
\uncover<1>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsradvsfus-1}};
\path[fill=white] (4.2,-1.2) rectangle ++(1.5,3);
\node[fill=white] at (-4.17, -1.5) {\footnotesize \Sexpr{kfzvsradtab[1]}\%};
\node[fill=white] at (-2.85, -1.5) {\footnotesize \Sexpr{kfzvsradtab[2]}\%};
\node[fill=white] at (-1.12, -1.5) {\footnotesize \Sexpr{kfzvsfustab[1]}\%};
\node[fill=white] at ( 0.2 , -1.5) {\footnotesize \Sexpr{kfzvsfustab[2]}\%};
\node[fill=white] at ( 1.93, -1.5) {\footnotesize \Sexpr{radvsfustab[1]}\%};
\node[fill=white] at ( 3.25, -1.5) {\footnotesize \Sexpr{radvsfustab[2]}\%};}
\uncover<2>{\node {\includegraphics[height=0.9\textheight]{figure/kfzvsradvsfus-2}};}
\end{tikzpicture}
\end{frame}

\end{document}