text_html_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
plt.style.use('dark_background')

df = pd.read_csv('../input/engineering-graduate-salary-prediction/Engineering_graduate_salary.csv')
df

df.columns

df.isnull().sum()

df.shape

df.columns

df2 = df.drop(columns=['ID', 'DOB', '10board', '12graduation', '12board', 'CollegeState', 'CollegeID', 'CollegeCityTier', 'CollegeCityID', 'GraduationYear'])

plt.figure(figsize=(10, 10))
plt.subplot(2, 2, 1)
plt.scatter(df.index, df.Domain)
plt.title('Domain')
plt.subplot(2, 2, 2)
plt.scatter(df.index, df.ComputerProgramming)
plt.title('ComputerProgramming')
plt.subplot(2, 2, 3)
plt.scatter(df.index, df.ElectronicsAndSemicon)
plt.title('ElectronicsAndSemicon')
plt.show()