3:33 ← 6. Border Crossi... Type Bus Passengers The table below is a partial capture of the border-crossing travelers in

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3 33 6 Border Crossi Type Bus Passengers The Table Below Is A Partial Capture Of The Border Crossing Travelers In 1 (130.61 KiB) Viewed 44 times

3:33 ← 6. Border Crossi... Type Bus Passengers The table below is a partial capture of the border-crossing travelers in different types of transport mode at Champlain Rouses Point, New York at the US-Canada border for the 13-year period from 2000 to 2012. The complete table is available on the LMS as brdrxingusc_dataset.pdf and as brdrxingusc_dataset.csv. Buses Personal Vehicles Loaded Trucks ● Border Crossing Vehicles 2 2001 4. 2000 317205 291421 11728 10374 980130 1012592 432097 342618 In this project, your Python program is required to: · Initialise appropriate lists with the full data Show four different menu options plus a Quit option. 2002 282859 10415 1039135 323495 ||| Vo)) 4G+ LTE1 41 51% 2003 234620 11290 999836 350893 Based on the user's selection, your program shall 1. Display the number of Bus Passengers crossing the border in 2006. 2. Of the user's selected type of the border-crossing transport (e.g.. Buses), display a) the mean number of the travelers in different types of transport mode for each of the two 5-year spans of 2004 to 2008 and 2006 to 2010. b) the minimum number of travelers in different types of transport mode in each of the periods and the years that the minimum occurs. 2004 277018 8345 1001278 351224 3. Of the user's selected type of the border-crossing transport, find the mean number of travelers for the whole 13-year period. Display the travelers in different types of transport mode and the corresponding years that are lower than the mean value. ake the following plots a) Average number of Bus Passengers per Bus vs Year as a line plot. b) Number of Personal Vehicles, Loaded Trucks vs Year as a bar chart. + O You will be awarded higher marks based on the quality of your program. Refer to the rubric for more information. You should not use pandas for the project. However, you are allowed to use numpy or other python libraries/modules as needed. Clarify any doubts about the requirements with your tutor. r :