Just do as much as you can.

This assignment requires the development of a program that draw from your experience achieved from the previous assignment's two parts. In this assignment you will develop a wxPython application that will allow the user to select from a menu selection to generate artificial lot data. Use the faker package to generate the following data. 1000 User records of ---> Firstname, Lastname, age, gender, username, address, email Next, for each User records generate 1000 sensor records consisting of these values 1000 Sensor records per User record -> Date, Time, Outside Temperature, Outside Humidity, Room Temperature, Room Humidity The Date and Time correspond starting Date is June 1st, 2020 until now, Time is sampled every 6 hours. The outside temperature is to range from 70 to 95 and the room temperature must be less than the outside temperature by a random number between 0-10 degrees. The outside humidity is to range from 50 to 95 and the room humidity must be less then the outside humidity by a random number between 0-10 degrees. Once the fake data is generated, provide the user the ability to save the file as a JSON or CSV file, request a file name from the user to save the file. So, in the File menu you will have selections Generate lot, Save JSON, Save CSV the other menu selection Statistics with have as entries descriptive, Plot A, Plot B and Plot C descriptive produces a dialog with the statistics on the loT sensor data Plot A shows a graph of the histogram of the of the outside temperature for the sampled times (every 6 hours) Plot B show a line graph of the outside vs the room temperature Plot C show a histogram of all of the room and outside temperature and humidity for the 1000 samples across all users Submit the wxpython application and a README file describing how to run the application This assignment requires the development of a program that draw from your experience achieved from the previous assignment's two parts. In this assignment you will develop a wxPython application that will allow the user to select from a menu selection to generate artificial lot data. Use the faker package to generate the following data. 1000 User records of ---> Firstname, Lastname, age, gender, username, address, email Next, for each User records generate 1000 sensor records consisting of these values 1000 Sensor records per User record -> Date, Time, Outside Temperature, Outside Humidity, Room Temperature, Room Humidity The Date and Time correspond starting Date is June 1st, 2020 until now, Time is sampled every 6 hours. The outside temperature is to range from 70 to 95 and the room temperature must be less than the outside temperature by a random number between 0-10 degrees. The outside humidity is to range from 50 to 95 and the room humidity must be less then the outside humidity by a random number between 0-10 degrees. Once the fake data is generated, provide the user the ability to save the file as a JSON or CSV file, request a file name from the user to save the file. So, in the File menu you will have selections Generate lot, Save JSON, Save CSV the other menu selection Statistics with have as entries descriptive, Plot A, Plot B and Plot C descriptive produces a dialog with the statistics on the loT sensor data Plot A shows a graph of the histogram of the of the outside temperature for the sampled times (every 6 hours) Plot B show a line graph of the outside vs the room temperature Plot C show a histogram of all of the room and outside temperature and humidity for the 1000 samples across all users Submit the wxpython application and a README file describing how to run the application