import pandas

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fileurl = 'https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data'

names = ['sepal_length','sepal_width','petal_length','petal_width','class']

data = pandas.read_csv(fileurl, names=names)

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#Print the correlation

pandas.set_option('display.width', 100)

pandas.set_option('precision', 2)

correlations = data.corr(method='pearson')

print(correlations)

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#-1 indicates 100% negative correlation while a positive 1 indicates 100% correlation. 0 Indicates no correlation. Certain algorithms do not work well with correlated data. 

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