Write a class called AnalyzeNumbers which asks the user to enter the number of inputs and stores them in array, then prints the total numbers greater than the first inputted number: please show your code and console. Also refer to the pic. Sample Run:Enter the number of items: 5Enter the numbers: 3.4 5 67.19You inputted: 3.4 5.0 6.0 7.1 9.0Sum is: 30.5Number of elements greater than the first element: 4Enter the number of items: 3Enter the numbers: 6.7 1.5 3.2You inputted: 6.7 1.5 3.2Sum is: 11.4Number of elements greater than the first element: 0

Algorithm: Resultant algorithm for given problem is: Start Initialise the variables Read the value…

Write a class called AnalyzeNumbers which asks the user to enter the number of inputs and stores them in array, then prints the total numbers greater than the first inputted number: please show your code and console. Also refer to the pic

Write a class called AnalyzeNumbers which asks the user to enter the number of inputs and stores them in array, then prints the total numbers greater than the first inputted number: please show your code and console. Also refer to the pic

EBK JAVA PROGRAMMING

9th Edition

ISBN:9781337671385

Author:FARRELL

Publisher:FARRELL

Chapter8: Arrays

Section: Chapter Questions

Problem 9PE

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//inserts e at index ind publicvoidadd(intind,Te){ //if index is invalid display a message and return //valid index are 0 to size //push all elements up by one all the down to index ind (stop at index ind) //insert e at index ind //increase the size }
import csv def save_temperature_statistics(input_dict, filename): """ We are going to take a dictionary that has a Month (str) key and 2 integer Temps (as a list) value. For every entry in the dictionary, we will create another list of the [Month, Temp1, Temp2] and write that (i.e. save it) in a CSV file. """ if __name__ == '__main__': temperature_dict = { "January": [67,47], "February": [67,47], "March": [68,49], "April": [71, 51], "May": [72, 54], "June": [73, 57], "July": [76, 60], "August": [78, 60], "September": [78, 60], "October": [76, 56], "November":[71, 50], "December": [66, 46] } save_temperature_statistics(temperature_dict, 'fahrenheit_data.csv')
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