I have tried the rest but question 11 become difficult for me. Can you help me please!

2 comentarios

Walter Roberson
Walter Roberson el 25 de Jun. de 2022
hint: categorical() and bar3()
Tekilu
Tekilu el 25 de Jun. de 2022
Thank you family!

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 Respuesta aceptada

Voss
Voss el 25 de Jun. de 2022
Editada: Voss el 25 de Jun. de 2022
Here's something, with random data for 5 stations.
% replace this with your data, an 11x12 matrix:
data = 6*rand(5,12)+2.5
data = 5×12
3.0578 8.3163 8.4855 7.7920 3.1272 7.9973 7.1697 4.7294 5.3315 4.2942 3.1002 6.5341 5.1729 7.5910 5.0186 6.9756 2.6272 5.4279 8.1011 6.4527 4.8268 8.3244 2.5925 4.9417 2.7454 2.7571 3.1044 3.1509 3.4733 5.2987 2.8486 7.0261 3.7225 8.1902 8.2890 4.6708 7.4746 7.4009 6.8467 6.1027 7.1125 3.2912 7.0206 7.9211 8.1908 6.8093 5.9398 8.0103 4.5354 8.4101 5.9261 3.9352 2.7845 4.3262 8.4125 8.3051 4.1644 3.7899 2.9574 6.3359
% replace this with your stations:
stations = {'Berlin' 'Hamburg' 'Frankfurt' 'Munich' 'Stuttgart'};
% keep this the same (Ethiopia has the same months as Germany does):
months = 'JFMAMJJASOND';
% plot, labels, title, etc.
plot(data.')
xlim([1 12])
xticks(1:12)
xticklabels(num2cell(months))
legend(stations)
title('Mean Daily Solar Radiation');
ylabel('kWh/m^2/day')

2 comentarios

Tekilu
Tekilu el 25 de Jun. de 2022
Thank you family!
Voss
Voss el 25 de Jun. de 2022
You're welcome!

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