Box plot and Histogram exploration on Iris data

Attribute Information about data set:

Attribute Information:
   -> sepal length in cm
   -> sepal width in cm
   -> petal length in cm
   -> petal width in cm
   -> class: 
              Iris Setosa
              Iris Versicolour
              Iris Virginica

Number of Instances: 150 

Summary Statistics:
             Min  Max   Mean    SD   Class Correlation
   sepal length: 4.3  7.9   5.84  0.83    0.7826   
    sepal width: 2.0  4.4   3.05  0.43   -0.4194
   petal length: 1.0  6.9   3.76  1.76    0.9490  (high!)
    petal width: 0.1  2.5   1.20  0.76    0.9565  (high!)

Class Distribution: 33.3% for each of 3 classes.

To get the Iris Data click here.

Loading Libraries

import numpy as np
import pandas as pd
import matplotlib.pyplot as plt

Loading Data

data = pd.read_csv("Iris.csv")

print (data.head(10))

Output:

Description

data.describe()

Output:

Info

data.info()

Output:


Code #1: Histogram for Sepal Length

plt.figure(figsize = (10, 7))
x = data["SepalLengthCm"]

plt.hist(x, bins = 20, color = "green")
plt.title("Sepal Length in cm")
plt.xlabel("Sepal_Length_cm")
plt.ylabel("Count")

Output:

Code #2: Histogram for Sepal Width

plt.figure(figsize = (10, 7))
x = data.SepalWidthCm

plt.hist(x, bins = 20, color = "green")
plt.title("Sepal Width in cm")
plt.xlabel("Sepal_Width_cm")
plt.ylabel("Count")

plt.show()

Output:

Code #3: Histogram for Petal Length

plt.figure(figsize = (10, 7))
x = data.PetalLengthCm

plt.hist(x, bins = 20, color = "green")
plt.title("Petal Length in cm")
plt.xlabel("Petal_Length_cm")
plt.ylabel("Count")

plt.show()

Output:

Code #4: Histogram for Petal Width

plt.figure(figsize = (10, 7))
x = data.PetalWidthCm

plt.hist(x, bins = 20, color = "green")
plt.title("Petal Width in cm")
plt.xlabel("Petal_Width_cm")
plt.ylabel("Count")

plt.show()

Output:

Code #5: Data preparation for Box Plot

# removing Id column
new_data = data[["SepalLengthCm", "SepalWidthCm", "PetalLengthCm", "PetalWidthCm"]]
print(new_data.head())

Output :

Code #6: Box Plot for Iris Data

plt.figure(figsize = (10, 7))
new_data.boxplot()

Output :