<jupyter_start><jupyter_text>6. Bonus Material - PlottingPandas actually exposes the MatplotLib libraries for working with charts. So without importing anything further we can do some "quick 'n' dirty" visual analysis too!<jupyter_code>import pandas as pd
df = pd.read_csv("../data/irisCsv.csv")
df.head()
df.plot.scatter(x="sepal length (cm)", y="sepal width (cm)")
df.groupby("Species")["sepal width (cm)"].count().plot.bar()<jupyter_output><empty_output>
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