Hummel

Exercise9

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+#!/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
+

Exercise9-2

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+#!/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. 

SAT.csv

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+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

sat.txt

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+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