diff --git a/uebung/example_hist_methods/example.r b/uebung/example_hist_methods/example.r
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+++ b/uebung/example_hist_methods/example.r
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+df <- read.csv(file="in1.csv", header=F,
+               col.names=c("step", "temp","function_value", "x1"))
+png(filename="ex1_hist.png")
+hist (df$x1, xlab = "x coord", main = "", freq = F, breaks = 60)
+dev.off()
diff --git a/uebung/example_hist_methods/example_1.xlsx b/uebung/example_hist_methods/example_1.xlsx
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diff --git a/uebung/example_hist_methods/examplehistogram.gnuplot b/uebung/example_hist_methods/examplehistogram.gnuplot
new file mode 100644
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+++ b/uebung/example_hist_methods/examplehistogram.gnuplot
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+# Example histogram for the Uebung.
+# If you have the data in a file called in1.csv and the column
+# you want is the fourth column, this makes a reasonable histogram.
+# Your data is probably in some other column, so change the $4 below.
+
+set datafile separator ','
+binwidth=0.005
+bin(x,width)=width*floor(x/width)
+
+set title 'distribution of x coords'
+set xlab 'x coord'
+unset key
+plot 'in1.csv' using (bin($4,binwidth)):(1.0) smooth freq with boxes
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