diff --git a/Exercise9 b/Exercise9
new file mode 100644
index 0000000..062a71f
--- /dev/null
+++ b/Exercise9
@@ -0,0 +1,24 @@
+#!/usr/bin/env python2
+# -*- coding: utf-8 -*-
+"""
+Created on Wed Nov  7 20:30:51 2018
+
+@author: jessicahummel
+"""
+
+#1
+
+import numpy
+import pandas
+from plotnine import *
+
+sat=pandas.read_csv("sat.txt",sep=",",header=0)
+sat.shape
+sat.head(5)
+
+a=ggplot(sat,aes(x="GPA",y="SATScore"))+theme_classic()+geom_point()+coord_cartesian()
+
+print a+xlab("GPA")+ylab("SATScore")+stat_smooth(method="lm")
+
+#2
+
diff --git a/Exercise9-2 b/Exercise9-2
new file mode 100644
index 0000000..08b58ca
--- /dev/null
+++ b/Exercise9-2
@@ -0,0 +1,27 @@
+#!/usr/bin/env python2
+# -*- coding: utf-8 -*-
+"""
+Created on Wed Nov  7 20:56:03 2018
+
+@author: jessicahummel
+"""
+
+import matplotlib.pyplot as plt
+import numpy
+import pandas
+from plotnine import *
+
+data=pandas.read_csv("data.txt",sep=",",header=0)
+data.shape
+
+b=ggplot(data)+theme_classic()+xlab("region")+ylab("observations")
+
+print b+geom_bar(aes(x="factor(region)",y="observations"),stat="summary",fun_y=numpy.mean)
+
+a=ggplot(data,aes(x="region",y="observations"))+theme_classic()+geom_jitter()
+
+print a
+
+#Yes, the bar and scatter plots tell different stories. If you were to look at the bar
+#graph, you would see that the means are very similar, yet looking at the scatter plot
+#tells you that the spreads are very different. 
\ No newline at end of file
diff --git a/SAT.csv b/SAT.csv
new file mode 100644
index 0000000..2a3fd5f
--- /dev/null
+++ b/SAT.csv
@@ -0,0 +1,14 @@
+GPA,Math SAT Score
+3.4,705
+3.65,750
+2.9,610
+2.5,400
+3.07,570
+2.3,400
+2.75,550
+3.3,660
+3.4,680
+3,575
+3.7,770
+3.1,575
+3,600
\ No newline at end of file
diff --git a/sat.txt b/sat.txt
new file mode 100644
index 0000000..a44cd41
--- /dev/null
+++ b/sat.txt
@@ -0,0 +1,14 @@
+GPA,SATScore
+3.4,705
+3.65,750
+2.9,610
+2.5,400
+3.07,570
+2.3,400
+2.75,550
+3.3,660
+3.4,680
+3,575
+3.7,770
+3.1,575
+3,600