<jupyter_start><jupyter_text>Plotting for EDATerminology- data point, vector, obs- dataset- feature / variable / input variable / dependent variable- label / IV / output var / class / class label / response label-<jupyter_code>import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt 
import numpy as np

iris = pd.read_csv('iris.csv')
print(iris.shape)
print(iris.columns)
iris['species'].value_counts()
iris.plot(kind='scatter', x='sepal_length', y='sepal_width')
# color coding
sns.set_style('whitegrid')
sns.FacetGrid(iris, hue='species', height=4) \
    .map(plt.scatter, 'sepal_length', 'sepal_width') \
    .add_legend()
plt.show()<jupyter_output><empty_output>
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