and the second picture is CO2.txt

//please use C++ program thanks

// months.txt

415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 415.5 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 399.3 453.5 454.5 424.5 453.5 454.5 424.5 453.5 454.5 424.5 453.5 405.3 402.2 402.3 405.3 402.2 402.3 405.3 402.2 402.3 405.3

PROBLEM DESCRIPTION Consider daily (either 28 or 30 days) carbon dioxide (CO2) data from a green house in unit of parts- per-million (ppm), for every month of January to December for the past three years (i.e. 2018 and 2020). They are stored in a text file, Co2.txt in the format as shown in Figure 1. The months (represented by months' numbers) and corresponding years are stored in file months.txt in ordered sequence of months and year as shown in Figure 2. The file content format, for instance: 2019 me January 2019 Assume that for all odd-numbered months (.e., 1, 3, 5, 7,..., 11), only the first 30 days of CO2 amounts are recorded, and for all even-numbered months (i.e., 2, 4, 6,...,12), only the first 28 days of CO2 amounts are recorded as illustrated in Figure 1. CO2_1_for_day 1 CO2_1_for_day2 1 2018 N 2018 : CO2_1_for_day 30 CO2_2_for_day 1 . 12 : 2018 2019 2019 : 1 2 CO2_2_for_day28 . 12 1 2 2019 2020 2020 CO2_11_for_day 30 CO2_12_for_day 1 CO2_12_for_day 2 : : : : 12 2020 CO2_12_for_day 28 Figure 1: Contents of input file CO2.txt Figure 2: Contents of input file months.txt Suppose you work with a company as a programmer and your employer passes the two files to you. Your job is to write a modular program using 2 structures (one for storing input data and another for output data) to calculate the total CO2 amounts for each month of the three years. These results must be tabulated in a neat table format (named Table 1 with correct table title) displayed on screen and in an output file named outfile.txt. The table must have columns Month, Year and Total CO2 Amount (ppm). Finally, your program must identify the date of every month of the three years, which has the least CO2 amount. This information must be tabulated in another table (named Table 2 with correct table title), to be displayed on screen and in the same file outfile.txt with information of Year, Month, Date and Least CO2 Amount (ppm). 0 months - Notepad File Edit Format View Help 1 2018 2 2018 3 2018 2018 5 2018 2018 7 2018 3 2018 9 2018 10 2018 11 2018 12 2018 1 2019 2 2 2019 3 2019 4 2019 2019 6 2019 2019 8 2019 9 2019 10 2019 11 2019 12 2019 1 2020 2. 2020 3 2920 4 2028 5 202 6 2020 2020 8 2020 9 2020 16 2020 11 2020 12 2028