This document contains code for analyzing car sales data. It includes functions for reading a CSV file containing car sales data, providing a data analysis menu to view the data in different ways (e.g. columns, rows), adding or deleting records, and generating line graphs of sales data for different car models over time. The code allows users to select a car manufacturer, then a specific model to view a line graph comparing its sales figures across years.

1. INFORMATICS
PRACTICES
PROJECT FILE
CAR SALES ANALYSI S

2. INDEX
• ACKNOWLEDGEMENT
• CODE
• OUTPUTS
• BIBLIOGRAPHY

3. ACKNOWLEDGEMENT
I would like to express my special thanks and gratitude to our
principal Mrs. Jayshree Balasaria as well as my subject teacher
Mrs. Hiral Dabhi who gave me the golden opportunity to do
this wonderful project because of which I came to know
about many new things.
Secondly, I would also like to thank my parents and friends
who have helped me a lot in finishing the project in limited
time.

4. ##Project Name: Car Model Sales Analysis
##Made By: Kush Shah, 12 Agni/ ZSE-G
import pandas as pd
import numpy as np
import time
import matplotlib.pyplot as plt
df = pd.DataFrame()
def introduction():
def read_csv_file():
df = pd.read_csv("/Users/admin/Desktop/Kush/Study/IP/PROJECT/CAR.csv")
print(df)
##Name of function: clear()
##Purpose: Clear Output Screen
def clear():
for x in range(3):
print()
def data_analysis_menu():
df = pd.read_csv("/Users/admin/Desktop/Kush/Study/IP/PROJECT/CAR.csv")
while True:
clear()
print('nnData Analysis MENU ')
print('_'*50)
print('1. Show Columnsn')
print('2. Show Top Rowsn')
print('3. Show Bottom Rowsn')
print('4. Show Specific Columnn')
print('5. Add a New Recordn')
print('6. Delete a Columnn')
print('7. Data Summaryn')
print('8. Exit (Move to main menu)n')
ch = int(input('Enter your choice:'))
if ch == 1:
print (df.columns)
wait = input()
if ch == 2:
n = int(input('Enter Total rows you want to show :'))
print(df.head(n))
wait = input()
if ch == 3:
n = int(input('Enter Total rows you want to show :'))
print(df.tail(n))
wait = input()
if ch == 4:
print(df.columns)
col_name = input('Enter Column Name that You want to print : ')
print(df[col_name])
wait = input()
if ch==5:
a = input('Enter New Model Name :')
b = input(' Enter Sales in 2015 :')
c= int(input('Enter Sales in 2016 :'))
d = int(input('Enter Sales in 2017 :'))
e = int(input('Enter Sales in 2018 :'))
f = int(input('Enter Sales in 2019 :'))

5. g= int(input('Enter Sales in 2020 :'))
new_data= pd.Series([b,c,d,e,f,g])
df= pd.read_csv("/Users/admin/Desktop/Kush/Study/IP/PROJECT/CAR.csv", index_col=None)
z=len(df.axes[1])
df.insert(z, a, new_data)
df.to_csv("/Users/admin/Desktop/Kush/Study/IP/PROJECT/CAR.csv", index=False)
print(df)
wait=input()
if ch==6:
col_name =input('Enter column Name to delete :')
del df[col_name]
df.to_csv("/Users/admin/Desktop/Kush/Study/IP/PROJECT/CAR.csv", index= False)
print(df)
print('nnn Press any key to continue....')
wait=input()
if ch==7:
print(df.describe())
print("nnnPress any key to continue....")
wait=input()
if ch ==8:
main_menu()
break
# name of function : graph
# purpose : To generate a Graph menu
def graph():
df = pd.read_csv("/Users/admin/Desktop/Kush/Study/IP/PROJECT/CAR.csv")
while True:
clear()
print('nGRAPH MENU ')
print('_'*50)
print('1. Car Wise Line Graphn')
print('2. Car Wise Bar Graphn')
print('3. Exit (Move to main menu)n')
ch = int(input('Enter your choice:'))
if ch == 1:
clear()
print('nSELECT MANUFACTURER')
print('_'*50)
print('1. Hondan')
print('2. Hyundain')
print('3. Maruti Suzukin')
print('4. Tatan')
print('5. Nissann')
print('6. Audin')
ch1 = int(input('Enter your choice:'))
if ch1 == 1:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. Amazen')
print('2. Jazzn')
print('3. WR-Vn')
print('4. CR-Vn')

6. print('5. HR-Vn')
print('6. Cityn')
print('7. Civicn')
ch2 = int(input('Enter your choice:'))
if ch2==1:
g = df.groupby('AMAZE')
x = df['MODEL']
y = df['AMAZE']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch2==2:
g = df.groupby('JAZZ')
x = df['MODEL']
y = df['JAZZ']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch2==3:
g = df.groupby('WR-V')
x = df['MODEL']
y = df['WR-V']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch2==4:
g = df.groupby('CR-V')
x = df['MODEL']
y = df['CR-V']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch2==5:
g = df.groupby('HR-V')
x = df['MODEL']
y = df['HR-V']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch2==6:
g = df.groupby('CITY')
x = df['MODEL']

7. y = df['CITY']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch2==7:
g = df.groupby('CIVIC')
x = df['MODEL']
y = df['CIVIC']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch1==2:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. i10n')
print('2. i20n')
print('3. Cretan')
print('4. Venuen')
print('5. Vernan')
print('6. Santron')
print('7. Elantran')
print('8. Xcentn')
print('9. Sonatan')
print('10. Palisaden')
print('11. Konan')
ch3 = int(input('Enter your choice:'))
if ch3==1:
g = df.groupby('i10')
x = df['MODEL']
y = df['i10']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch3==2:
g = df.groupby('i20')
x = df['MODEL']
y = df['i20']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch3==3:
g = df.groupby('CRETA')
x = df['MODEL']
y = df['CRETA']

8. plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch3==4:
g = df.groupby('VENUE')
x = df['MODEL']
y = df['VENUE']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch3==5:
g = df.groupby('VERNA')
x = df['MODEL']
y = df['VERNA']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch3==6:
g = df.groupby('SANTRO')
x = df['MODEL']
y = df['SANTRO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch3==7:
g = df.groupby('ELANTRA')
x = df['MODEL']
y = df['ELANTRA']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch3==8:
g = df.groupby('XCENT')
x = df['MODEL']
y = df['XCENT']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch3==9:
g = df.groupby('SONATA')

9. x = df['MODEL']
y = df['SONATA']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch3==10:
g = df.groupby('PALISADE')
x = df['MODEL']
y = df['PALISADE']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch3==11:
g = df.groupby('KONA')
x = df['MODEL']
y = df['KONA']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch1==3:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. Balenon')
print('2. Swiftn')
print('3. DZiren')
print('4. Alton')
print('5. Ciazn')
print('6. Eecon')
print('7. Ignisn')
print('8. Celerio Xn')
print('9 S-Crossn')
print('10. XL6n')
ch4 = int(input('Enter your choice:'))
if ch4==1:
g = df.groupby('BALENO')
x = df['MODEL']
y = df['BALENO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch4==2:
g = df.groupby('SWIFT')
x = df['MODEL']
y = df['SWIFT']
plt.xticks(rotation='vertical')

10. plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch4==3:
g = df.groupby('DZIRE')
x = df['MODEL']
y = df['DZIRE']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch4==4:
g = df.groupby('ALTO')
x = df['MODEL']
y = df['ALTO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch4==5:
g = df.groupby('CIAZ')
x = df['MODEL']
y = df['CIAZ']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch4==6:
g = df.groupby('EECO')
x = df['MODEL']
y = df['EECO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch4==7:
g = df.groupby('IGNIS')
x = df['MODEL']
y = df['IGNIS']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch4==8:
g = df.groupby('CELERIO X')
x = df['MODEL']

11. y = df['CELERIO X']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch4==9:
g = df.groupby('S-CROSS')
x = df['MODEL']
y = df['S-CROSS']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch4==10:
g = df.groupby('XL6')
x = df['MODEL']
y = df['XL6']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch1==4:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. Tiagon')
print('2. Nexonn')
print('3. Tigorn')
print('4. Harriern')
print('5. Altrozn')
print('6. Nanon')
print('7. Safarin')
print('8. HBXn')
ch5 = int(input('Enter your choice:'))
if ch5==1:
g = df.groupby('TIAGO')
x = df['MODEL']
y = df['TIAGO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch5==2:
g = df.groupby('NEXON')
x = df['MODEL']
y = df['NEXON']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')

12. plt.grid(True)
plt.plot(x, y)
plt.show()
if ch5==3:
g = df.groupby('TIGOR')
x = df['MODEL']
y = df['TIGOR']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch5==4:
g = df.groupby('HARRIER')
x = df['MODEL']
y = df['HARRIER']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch5==5:
g = df.groupby('ALTROZ')
x = df['MODEL']
y = df['ALTROZ']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch5==6:
g = df.groupby('NANO')
x = df['MODEL']
y = df['NANO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch5==7:
g = df.groupby('SAFARI')
x = df['MODEL']
y = df['SAFARI']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch5==8:
g = df.groupby('HBX')
x = df['MODEL']
y = df['HBX']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')

13. plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch1==5:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. Sunnyn')
print('2. Magniten')
print('3. Kicksn')
print('4. GT-Rn')
print('5. Terran')
ch6 = int(input('Enter your choice:'))
if ch6==1:
g = df.groupby('SUNNY')
x = df['MODEL']
y = df['SUNNY']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch6==2:
g = df.groupby('MAGNITE')
x = df['MODEL']
y = df['MAGNITE']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch6==3:
g = df.groupby('KICKS')
x = df['MODEL']
y = df['KICKS']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch6==4:
g = df.groupby('GT-R')
x = df['MODEL']
y = df['GT-R']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch6==5:
g = df.groupby('TERRA')

14. x = df['MODEL']
y = df['TERRA']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch1==6:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. A4n')
print('2. A6n')
print('3. A8n')
print('4. Q2n')
print('5. Q8n')
print('6. RS7n')
ch7 = int(input('Enter your choice:'))
if ch7==1:
g = df.groupby('A4')
x = df['MODEL']
y = df['A4']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch7==2:
g = df.groupby('A6')
x = df['MODEL']
y = df['A8']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch7==3:
g = df.groupby('A8')
x = df['MODEL']
y = df['A8']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch7==4:
g = df.groupby('Q2')
x = df['MODEL']
y = df['Q2']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)

15. plt.plot(x, y)
plt.show()
if ch7==5:
g = df.groupby('Q8')
x = df['MODEL']
y = df['Q8']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch7==6:
g = df.groupby('RS7')
x = df['MODEL']
y = df['RS7']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.plot(x, y)
plt.show()
if ch == 2:
clear()
print('nSELECT MANUFACTURER')
print('_'*50)
print('1. Hondan')
print('2. Hyundain')
print('3. Maruti Suzukin')
print('4. Tatan')
print('5. Nissann')
print('6. Audin')
ch8 = int(input('Enter your choice:'))
if ch8==1:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. Amazen')
print('2. Jazzn')
print('3. WR-Vn')
print('4. CR-Vn')
print('5. HR-Vn')
print('6. Cityn')
print('7. Civicn')
ch9 = int(input('Enter your choice:'))
if ch9==1:
g = df.groupby('AMAZE')
x = df['MODEL']
y = df['AMAZE']
plt.xticks(rotation='vertical')
plt.xlabel('Year')
plt.ylabel('Total Sales')
plt.title('Car Wise Sales Count')
plt.bar(x, y)
plt.grid(True)
plt.show()

16. if ch9==2:
g = df.groupby('JAZZ')
x = df['MODEL']
y = df['JAZZ']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Car Wise Sales Count')
plt.bar(x, y)
plt.grid(True)
plt.show()
if ch9==3:
g = df.groupby('WR-V')
x = df['MODEL']
y = df['WR_V']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Car Wise Sales Count')
plt.bar(x, y)
plt.grid(True)
plt.show()
if ch9==4:
g = df.groupby('CR-V')
x = df['MODEL']
y = df['CR-V']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Car Wise Sales Count')
plt.bar(x, y)
plt.grid(True)
plt.show()
if ch9==5:
g = df.groupby('HR-V')
x = df['MODEL']
y = df['HR-V']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Car Wise Sales Count')
plt.bar(x, y)
plt.grid(True)
plt.show()
if ch9==6:
g = df.groupby('CITY')
x = df['MODEL']
y = df['CITY']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Car Wise Sales Count')
plt.bar(x, y)
plt.grid(True)
plt.show()
if ch9==7:
g = df.groupby('CIVIC')
x = df['MODEL']
y = df['CIVIC']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Car Wise Sales Count')
plt.bar(x, y)

17. plt.grid(True)
plt.show()
if ch8==2:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. i10n')
print('2. i20n')
print('3. Cretan')
print('4. Venuen')
print('5. Vernan')
print('6. Santron')
print('7. Elantran')
print('8. Xcentn')
print('9. Sonatan')
print('10. Palisaden')
print('11. Konan')
ch10 = int(input('Enter your choice:'))
if ch10==1:
g = df.groupby('i10')
x = df['MODEL']
y = df['i10']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch10==2:
g = df.groupby('i20')
x = df['MODEL']
y = df['i20']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch10==3:
g = df.groupby('CRETA')
x = df['MODEL']
y = df['CRETA']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch10==4:
g = df.groupby('VENUE')
x = df['MODEL']
y = df['VENUE']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)

18. plt.show()
if ch10==5:
g = df.groupby('VERNA')
x = df['MODEL']
y = df['VERNA']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch10==6:
g = df.groupby('SANTRO')
x = df['MODEL']
y = df['SANTRO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch10==7:
g = df.groupby('ELANTRA')
x = df['MODEL']
y = df['ELANTRA']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch10==8:
g = df.groupby('XCENT')
x = df['MODEL']
y = df['XCENT']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch10==9:
g = df.groupby('SONATA')
x = df['MODEL']
y = df['SONATA']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch10==10:
g = df.groupby('PALISADE')
x = df['MODEL']
y = df['PALISADE']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')

19. plt.grid(True)
plt.bar(x, y)
plt.show()
if ch10==11:
g = df.groupby('KONA')
x = df['MODEL']
y = df['KONA']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch8==3:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. Balenon')
print('2. Swiftn')
print('3. DZiren')
print('4. Alton')
print('5. Ciazn')
print('6. Eecon')
print('7. Ignisn')
print('8. Celerio Xn')
print('9 S-Crossn')
print('10. XL6n')
ch11 = int(input('Enter your choice:'))
if ch11==1:
g = df.groupby('BALENO')
x = df['MODEL']
y = df['BALENO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch11==2:
g = df.groupby('SWIFT')
x = df['MODEL']
y = df['SWIFT']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch11==3:
g = df.groupby('DZIRE')
x = df['MODEL']
y = df['DZIRE']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)

20. plt.show()
if ch11==4:
g = df.groupby('ALTO')
x = df['MODEL']
y = df['ALTO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch11==5:
g = df.groupby('CIAZ')
x = df['MODEL']
y = df['CIAZ']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch11==6:
g = df.groupby('EECO')
x = df['MODEL']
y = df['EECO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch11==7:
g = df.groupby('IGNIS')
x = df['MODEL']
y = df['IGNIS']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch11==8:
g = df.groupby('CELERIO X')
x = df['MODEL']
y = df['CELERIO X']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch11==9:
g = df.groupby('S-CROSS')
x = df['MODEL']
y = df['S-CROSS']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')

21. plt.grid(True)
plt.bar(x, y)
plt.show()
if ch11==10:
g = df.groupby('XL6')
x = df['MODEL']
y = df['XL6']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch8==4:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. Tiagon')
print('2. Nexonn')
print('3. Tigorn')
print('4. Harriern')
print('5. Altrozn')
print('6. Nanon')
print('7. Safarin')
print('8. HBXn')
ch12 = int(input('Enter your choice:'))
if ch12==1:
g = df.groupby('TIAGO')
x = df['MODEL']
y = df['TIAGO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch12==2:
g = df.groupby('NEXON')
x = df['MODEL']
y = df['NEXON']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch12==3:
g = df.groupby('TIGOR')
x = df['MODEL']
y = df['TIGOR']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch12==4:
g = df.groupby('HARRIER')

22. x = df['MODEL']
y = df['HARRIER']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch12==5:
g = df.groupby('ALTROZ')
x = df['MODEL']
y = df['ALTROZ']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch12==6:
g = df.groupby('NANO')
x = df['MODEL']
y = df['NANO']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch12==7:
g = df.groupby('SAFARI')
x = df['MODEL']
y = df['SAFARI']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch12==8:
g = df.groupby('HBX')
x = df['MODEL']
y = df['HBX']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch8==5:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. Sunnyn')
print('2. Magniten')
print('3. Kicksn')
print('4. GT-Rn')
print('5. Terran')

23. ch13 = int(input('Enter your choice:'))
if ch13==1:
g = df.groupby('SUNNY')
x = df['MODEL']
y = df['SUNNY']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch13==2:
g = df.groupby('MAGNITE')
x = df['MODEL']
y = df['MAGNITE']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch13==3:
g = df.groupby('KICKS')
x = df['MODEL']
y = df['KICKS']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch13==4:
g = df.groupby('GT-R')
x = df['MODEL']
y = df['GT-R']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch13==5:
g = df.groupby('TERRA')
x = df['MODEL']
y = df['TERRA']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch8==6:
clear()
print('nSELECT CAR')
print('_'*50)
print('1. A4n')
print('2. A6n')
print('3. A8n')

24. print('4. Q2n')
print('5. Q8n')
print('6. RS7n')
ch14 = int(input('Enter your choice:'))
if ch14==1:
g = df.groupby('A4')
x = df['MODEL']
y = df['A4']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch14==2:
g = df.groupby('A6')
x = df['MODEL']
y = df['A8']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch14==3:
g = df.groupby('A8')
x = df['MODEL']
y = df['A8']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch14==4:
g = df.groupby('Q2')
x = df['MODEL']
y = df['Q2']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch14==5:
g = df.groupby('Q8')
x = df['MODEL']
y = df['Q8']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch14==6:
g = df.groupby('RS7')
x = df['MODEL']

25. y = df['RS7']
plt.xticks(rotation='vertical')
plt.xlabel('COMPANY')
plt.ylabel('Total Sales')
plt.title('Company wise sales count')
plt.grid(True)
plt.bar(x, y)
plt.show()
if ch == 3:
main_menu()
wait = input()
def main_menu():
clear()
introduction()
while True:
clear()
print('MAIN MENU ')
print('_'*50)
print()
print('1. Read CSV Filen')
print('2. Data Analysis Menun')
print('3. Graph Menun')
print('4. Exitn')
choice = int(input('Enter your choice :'))
if choice == 1:
df = pd.read_csv("/Users/admin/Desktop/Kush/Study/IP/PROJECT/CAR.csv")
print (df)
wait = input()
if choice == 2:
data_analysis_menu()
wait = input()
if choice == 3:
graph()
wait = input()
if choice == 4:
print ("Project Made by- Kush Shah")
break
clear()
# call your main menu
main_menu()

26. OUTPUTS
MAIN MENU
1. READ CSV FILE

27. 2. DATA ANALYSIS MENU

28. 2,1- SHOW COLUMNS
2,2- SHOW TOP ROWS
2,3- SHOW BOTTOM ROWS

29. 2,4- SHOW PARTICULAR COLUMN (SAY, AMAZE)
2,5- ADD A NEW RECORD

30. 2,6- DELETE A COLUMN
2,7- DATA SUMMARY

31. 3. GRAPH MENU
THE GRAPHS OF SALES OF VARIOUS CARS IS SHOWN
WHEN THE USER SELECTS THEM. FIRST THE USER
SELECTS THE MANUFACTURER FROM THE GIVEN SIX
OPTIONS. ONCE THE MANUFACTURER IS SELECTED, THE
USER IS SUPPOSED TO SELECT THE NAME OF THE CAR
MODEL FROM THE GIVEN LIST.
SINCE THERE ARE A LOT OF CAR MODELS IN THE CSV, I
HAVE NOT PRINTED ALL THE CHARTS BUT TWO OR
THREE CHARTS OF EACH TYPE RANDOMLY SELECTED.
STILL ALL THE CAR MODELS ARE CHECKED AND ALL OF
THOSE ARE WORKING JUST PERFECTLY.

32. LINE GRAPHS OF CARS- (SELECTED RANDOMLY)
HONDA- AMAZE NISSAN- KICKS
TATA- TIGOR MARUTI SUZUKI- CELERIO X

33. BAR GRAPHS OF CARS- (SELECTED RANDOMLY)
AUDI- A8 NISSAN- TERRA
TATA- NANO HONDA- CITY