INTRODUCTION

Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.

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#import packages

import pandas as pd

from pytrends.request import TrendReq

import matplotlib.pyplot as plt

trends=TrendReq

#GOOGLE SEARCH ANALYSIS

pytrends.build_payload(kw_list=["AI"])

data=pytrends.interest_by_region()

data=data.sort_values(by="AI" , ascending=False)

data=data.head(10)

print(data)

#VISUALISATION FOR GOOGLE SEARCH YEAR

data=TrendReq(hl='en-US',tz=360)

data.build_payload(kw_list=["python"])

data=data.interest_over_time()

fig,ax=plt.subplots(figsize=(15,12))

data['python'].plot()

plt.style.use('fivethirtyeight')

plt.title('Total Searches')

plt.xlabel('Year')

plt.ylabel('Total Count')

plt.show()

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