Exercise Submission#7
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Part 2, need to resolve plotting errors
Dataset for Part 2 of the exercise
lyy005
reviewed
Oct 26, 2017
| if '>' in line: #Check line for >, if present, skip to next line | ||
| continue | ||
| else: | ||
| seqLen=float(len(line)) #Calculate length of sequence |
Owner
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line=line.strip() # remove the new line character
lyy005
reviewed
Oct 26, 2017
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| b=ggplot(seqDF, aes(x="percentGC")) #Create plot of %GC | ||
| b+geom_histogram()+theme_classic() #Plot as histogram | ||
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lyy005
reviewed
Oct 26, 2017
| icecream.head(20) | ||
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| a=ggplot(icecream,aes(x="temp",y="sales"))+theme_classic()+geom_point() | ||
| a+xlab("Temperature (C)")+ylab("Sales In Dollars")+stat_smooth(method="lm") |
lyy005
reviewed
Oct 26, 2017
| for i in range(0,4) : | ||
| mean_DF.mean_dir[i] = numpy.mean(data_txt[data_txt.region==directions[i]].observations) | ||
| mean_DF.region[i] = directions[i] | ||
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Owner
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Or you can use:
data_barplot=ggplot(data)
data_barplot+geom_bar(aes(x="factor(region)",y="observations"),stat="summary",fun_y=numpy.mean)
lyy005
reviewed
Oct 26, 2017
| #Bar Graph had mean plotted across the regions which almost had same values (~15). They almost looked the same. | ||
| #But on the scatter plot we north has points centered around 15 while east and west are equally spread and south | ||
| #has a bi-modal distribution. | ||
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