Question

matlab

1. [suDmit as Iwo JPEGS in Canvas with your netiD in the title of each plot] An electricity startup is looking into the viability of putting solar panels on the rooftops of buildings in Newark, NJ. They want you to help them come up with visualizations for data they have from the National Renewable Energy Laboratory and the National Oceanic and Atmospheric Administration about: - The average amount of sunshine received each month in the form of Global Horizonal Irradiation (GHI) -The amount of snowfall Newark received each month in millimeters From the years 1999 through 2017 (19 years total). The company needs to know about the amount of sunshine Newark receives each month to know what the average output of solar panels might be per month, and they need to know about snowfall to understand the maintenance costs that might be associated with keeping panels operational in the summertime. Please download the csv dataset provided for you as sunData.csv. This data has four columns: - The first column is the year - The second column is the month (1-12) - The third column is the average GHI for that month - The fourth column is the total snowfall for that month You should write a script or a function that creates the following two plots - A plot of the mean snowfall each calendar month and the maximum snowfall each calendar month for the years 1999 through 2017. It should look like this: Comparison of mean and maximum snawfall per month in Newark, NJ between the years 1999 and 2017 1000 mean 800i 700 Full Plot Hidden E 600 s00 400 a00 200 100 1 4 10 11 12 Morth sll Verizon LTE 6:55 PM 65% inst-fs-iad-prod. inscloudgate.net - A plot of the mean sunlight each calendar month and the minimum sunlight for each calendar month for the years 1999 through 2017. It should look like this Comparison of mean and minimum sunlighe per month in Newark, NJ between the years 1999 and 2017 Full Plot Hidden Month Your plots should have - A title that is informative and includes your netlD. Plots without your netID will be marked as 0! -Labels for the x and y axis - A legend - x limits of and 12 (your x-axis should only display between these values) Hints - You should be creating at least 4 arrays with 12 elements each, representing the 4 different lines you have to plot. - You can use the Month column of sunData to get the index you should be using for each of the 4 arrays: o If you have data for month 3, you should be working with the 3" index of your arrays! -Think back to how we calculated the mean of an array without using the mean command. You will have to do something similar here. - The minimum/maximum values you must find here are by month. This means that you have to compare all of the values from month 4 against each other to find the minimum/maximum. You should know that there are no values above 1000, and none below 0, so these are acceptable starting points for minimum and maximum for each month (respectively) Once you create these plots, you the following: - In MATLAB, go to the "File" menu, then "Save as..." option in the Figure containing the plot. Then under the can save them by doing 100 Your plots should have - A title that is informative and includes your netID. Plots without your netID will be marked as 0! - Labels for the x and y axis - A legend x limits of 1 and 12 (your x-axis should only display between these values) Hints: - You should be creating at least 4 arrays with 12 elements each, representing the 4 different lines you have to plot. - You can use the Month column of sunData to get the ndex you should be using for each of the 4 arrays: o If you have data for month 3, you should be working with the 3" index of your arrays! - Think back to how we calculated the mean of an array without using the mean command. You will have to do something similar here - The minimum/maximum values you must find here are by month. This means that you have to compare all of the values from month 4 against each other to find the - minimum/maximum. You should know that there are no values above 1000, and none below 0, so these are acceptable starting points for minimum and maximum for each month (respectively) Once you create these plots, you can save them by doing the following: - In MATLAB, go to the "File" menu, then "Save as.." option in the Figure containing the plot. Then under the "Save Type As" menu, select JPEG. Name your file and press Save. - In MATLAB Online the instructions are the same, but the "File" menu is at the top of the screen in the Figure tab. You must then download your image using the Download button in the Home tab INote, MATLAB Online plots might look slightly different. This is OK Submit both JPEGS on Canvas

Answer 1

No csv file given by you. Using my own file with random data for 2 years. Remember to change the num_years variable when you use the correct file. Also, don't forget to add you "netID" to the plot title!

%% MATLAB code begins %%
% Read the file, create variables
data = readmatrix("convertcsv.csv");
avg_snowfall = zeros(1, 12);
max_snowfall = zeros(1, 12);
avg_sunlight = zeros(1, 12);
min_sunlight = ones(1, 12) * inf;
num_years = 2019 - 2018 + 1;
% Process the data
for i = 1:length(data)
    month = data(i, 2);
    snowfall = data(i, 4);
    sunlight = data(i, 3);
    avg_snowfall(month) = avg_snowfall(month) + snowfall;
    max_snowfall(month) = max(max_snowfall(month), snowfall);
    avg_sunlight(month) = avg_sunlight(month) + sunlight;
    min_sunlight(month) = min(min_sunlight(month), sunlight);
end
% Divide, because these arrays only have the sum till now
avg_snowfall = avg_snowfall / num_years;
avg_sunlight = avg_sunlight / num_years;
% Generate plots
figure(1);
hold on;
plot(avg_snowfall);
plot(max_snowfall);
xlim([1, 12]);
title({'Comparision of mean and maximum snowfall per month in Newark, NJ', 'between the years 1997 and 2017'});
xlabel('Month');
ylabel('Snowfall in mm');
legend('Average Snowfall', 'Maximum Snowfall');
figure(2);
hold on;
plot(avg_sunlight);
plot(min_sunlight);
xlim([1, 12]);
title({'Comparision of mean and minimum sunlight per month in Newark, NJ', 'between the years 1997 and 2017'});
xlabel('Month');
ylabel('Global Horizontal Irrandiance (A Measure of Total Sunlight)');
legend('Average Sunlight', 'Minimum Sunlight');

%% MATLAB code ends %%