Marketing Data Analysis using Python Pandas and Plotly

import numpy as np
from numpy import isnan
import pandas as pd
from sklearn.impute import KNNImputer
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
import plotly.graph_objs as go
import plotly.express as px
from scipy.stats import shapiro
from scipy.stats import chi2_contingency
from scipy.stats import chi2
import scipy.stats as stats
from numpy import median
from numpy import std
from IPython.display import Image
import warnings
warnings.filterwarnings('ignore')
dataset = pd.read_csv('marketing_data.csv')
dataset.head()

dataset.rename(columns = {' Income ' :'Income'}, inplace = True) # Rename the column
dataset['Income'] = dataset['Income'].str.replace(',', '')
dataset['Income'] = dataset['Income'].astype(float)

Ankit Srivastava

Ankit Srivastava is an IT trainer, technology educator, and digital skills mentor with expertise in programming, data analytics, AI, and software development. He has successfully trained thousands of learners, with more than 10,000 student enrollments on Udemy. His practical teaching approach empowers students and professionals to build in-demand technical skills. Colorstech channel where Ankit posts video tutorials has more than 8000 Subscribers.