6 b). Apply and explore various plotting functions like Correlation and scatter plots on UCI data sets
Aim
To
apply and explore various plotting functions like Correlation and scatter plots
on datasets.
Procedure
Program
import pandas as pd
con = pd.read_csv('D:/diabetes.csv')
con
list(con.columns)
import seaborn as sns
sns.scatterplot(x="Pregnancies",
y="Age", data=con);
Output

sns.lmplot(x="Pregnancies",
y="Age", data=con);
Output

sns.lmplot(x="Pregnancies",
y="Age", hue="Outcome", data=con);
Output

from scipy import stats
stats.pearsonr(con['Age'], con['Outcome'])
Output
(0.23835598302719774,
2.209975460664566e-11)
cormat = con.corr()
round(cormat,2)
sns.heatmap(cormat);
Output

Result
Various plotting functions like Correlation and
scatter plots on datasets
are successfully executed.
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