diff --git a/Exercise7_1.R b/Exercise7_1.R
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+fastadata<-scan(file="Lecture11.fasta",what=character())
+#Make indices of either even or odd numbers to 200
+x<-1:200
+oddintegers<-x[c(TRUE,FALSE)]
+evenintegers<-x[c(FALSE,TRUE)]
+Sequences<-fastadata[evenintegers]
+#count number of nucleotides in sequences and plot histogram
+SeqLength<-nchar(Sequences)
+HistofLength<-qplot(SeqLength,geom="histogram")
+#Similar histogram but of the number of G's and C's in sequences
+SeqWithoutA<-gsub("A","",Sequences)
+SeqWithoutAT<-gsub("T","",SeqWithoutA)
+GCSeqLength<-nchar(SeqWithoutAT)
+qplot(GCSeqLength,geom="histogram")
diff --git a/ExerciseScript7_2.R b/ExerciseScript7_2.R
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+++ b/ExerciseScript7_2.R
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+library(ggplot2) 
+library(grid) 
+library(gridExtra)
+
+SoilIsotopes <- read.table("~/Desktop/Alaska Data/EA-IRMS/170517_EA-IRMS_MASTERSPREADSHEET.txt",sep = ' ',header=TRUE)
+
+EAIRMS <- read.csv("~/Desktop/Alaska Data/EA-IRMS/170517_EA-IRMS_MASTERSPREADSHEET.csv")
+
+a <- ggplot(data = EAIRMS, aes(x = Corrected.d15N, y = Corrected.d13C))
+a + geom_point(color = "cyan", shape = 17, size = 3) + coord_cartesian() + theme_classic() + ggtitle("Alaska Soils") + ylab("d13C") + stat_smooth(method = "lm")
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diff --git a/ExerciseScript7_3.R b/ExerciseScript7_3.R
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+++ b/ExerciseScript7_3.R
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+library(ggplot2) 
+library(grid) 
+library(gridExtra)
+Data <- read.csv("~/Desktop/data-shell/Intro_Biocomp_ND_317_Tutorial7/data.txt",sep = ',',header=TRUE)
+##This script can be executed to produce a bar graph of populations from the regions in the data.txt file
+a = ggplot(data = Data)
+a + geom_bar(aes(x = as.factor(region), y = observations), stat = "summary",
+             fun.y = "mean", fill = "black", color = "black") + theme_classic() + xlab("Regions") + ylab("Population")
+##This script can be executed to produce a scatterplot of the popualtions from the regions in the data.txt file.
+b = ggplot(data = Data, aes(x = region, y = observations)) + theme_classic()
+b + geom_point() + geom_jitter()+ xlab("Regions") + ylab("Population")
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