diff --git a/statistics/lecture_statistics.tex b/statistics/lecture_statistics.tex
index 1307974..46c390d 100755
--- a/statistics/lecture_statistics.tex
+++ b/statistics/lecture_statistics.tex
@@ -374,7 +374,7 @@ geeignet. Der Pearson Korrelationskoeffizient ist es nicht.
   \frametitle{Darstellung nominaler Daten}
   \framesubtitle{Bar-Plot f\"ur Anzahl/ rel. H\"aufigkeit}
       \begin{center}
-        \includegraphics[width=.6\linewidth]{figs/nominaldataplot}
+        \includegraphics[width=.8\linewidth]{figs/nominaldataplot}
       \end{center}
 \end{frame}
 %-------------------------------------------------------------
@@ -403,6 +403,46 @@ set(gcf, 'PaperPosition',[0.0 0.0 11.7 9.0]);
 \end{lstlisting}
 \end{frame}
 
+%-------------------------------------------------------------
+\begin{frame}[fragile]
+  \frametitle{Darstellung nominaler Daten}
+  \framesubtitle{Pie-Chart f\"ur Anzahl/ rel. H\"aufigkeit}
+      \begin{center}
+        \includegraphics[width=.8\linewidth]{figs/nominaldataplot2}
+      \end{center}
+\end{frame}
+%-------------------------------------------------------------
+\begin{frame}[fragile]
+  \frametitle{Darstellung nominaler Daten}
+  \framesubtitle{\"Ubung}
+  \begin{task}{Pie-Chart}
+    Plotte dieselben Daten ($n_{py}=50$, $n_{in}=90$) als Pie-Chart in Matlab.
+  \end{task}
+\end{frame}
+%-------------------------------------------------------------
+\begin{frame}[fragile]
+  \frametitle{Darstellung nominaler Daten}
+  \framesubtitle{Pie-Chart f\"ur Anzahl/ rel. H\"aufigkeit}
+      \scriptsize
+\begin{lstlisting}
+data = [50, 90];
+h = pie(data, [1,0], {'pyramidal (n=50)', 'interneuron (n=90)'})
+hText = findobj(h,'Type','text') % text object handles
+
+set(h(1), 'FaceColor', [.2,.2,.2]);
+set(h(2), 'Rotation', 45);
+set(h(3), 'FaceColor', [.8,.8,.8]);
+set(h(4), 'Rotation', 45);
+
+title('cell count')
+set(gca,'XTick',1:2,'XTickLabel',{'pyramidal', 'interneuron'})
+box('off')
+set(gcf, 'PaperUnits', 'centimeters');
+set(gcf, 'PaperSize', [11.7 9.0]);
+set(gcf, 'PaperPosition',[0.0 0.0 11.7 9.0]);
+\end{lstlisting}
+\end{frame}
+
 
 \end{document} 
  
diff --git a/statistics/matlab/nominal_plots.m b/statistics/matlab/nominal_plots.m
index d4f4d5b..9abd78b 100644
--- a/statistics/matlab/nominal_plots.m
+++ b/statistics/matlab/nominal_plots.m
@@ -1,5 +1,6 @@
 close all
-% cell type
+% cell type bar
+figure()
 bar([1,2], [50, 90], 'facecolor', 'k')
 ylabel('cell count')
 xlabel('cell type')
@@ -10,3 +11,21 @@ set(gca,'XTick',1:2,'XTickLabel',{'pyramidal', 'interneuron'},'FontSize',20)
 set(gcf, 'PaperUnits', 'centimeters');
 set(gcf, 'PaperSize', [11.7 9.0]);
 set(gcf, 'PaperPosition',[0.0 0.0 11.7 9.0]);
+
+% cell type pie
+figure()
+data = [50, 90];
+h = pie(data, [1,0], {'pyramidal (n=50)', 'interneuron (n=90)'})
+hText = findobj(h,'Type','text') % text object handles
+
+set(h(1), 'FaceColor', [.2,.2,.2]);
+set(h(2), 'Rotation', 45);
+set(h(3), 'FaceColor', [.8,.8,.8]);
+set(h(4), 'Rotation', 45);
+
+title('cell count')
+set(gca,'XTick',1:2,'XTickLabel',{'pyramidal', 'interneuron'})
+box('off')
+set(gcf, 'PaperUnits', 'centimeters');
+set(gcf, 'PaperSize', [11.7 9.0]);
+set(gcf, 'PaperPosition',[0.0 0.0 11.7 9.0]);