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Description: This program will create four plots from data in a matrix (list of lists or pandas).
Input: is the file SSE_Courses.csv, containing the enrollment for the School of Systems and Enterprises
from Spring '18 to Fall '20 (not actual data):
Output: four html files with one plot each, to be collected in a doc/pdf file
See details in the Procedure.
Procedure:
1. Open and read SSE_Courses.csv into a list of lists named data[]. This is assuming you are
using lists. Make proper adjustments if you use pandas.
2. Using Bokeh, create the following 4 plots:
o EM (Engineering Management) by semester
Line Plot
for example, EM is data[1][1:]
Line color green
Label the y-axis “EM enrollments”
o EM vs SYS (Systems Engineering) enrollment
Scatter Plot
x = EM, y = SYS
label x-axis ‘EM and y-axis ‘SYS
dot color red
o Average enrollment by program (EM, ES, ISE, SSW, SYS) over the years
bar plot
you must use np.mean (numpy.mean) to get the average
suggested method:
create a list for each food type that will contain the enrollment numbers as float.
for example, EM_list = [float(i) for i in data[1][1:]]
Then take the mean of the list:
for example, EM = np.mean(EM)
You will then have the 5 numbers you need to put into a list for the bar plot
Label the bottom of the chart with an x axis label (EM ES ISE SSW SYS)
o Enrollment for the 5 programs for 2020
Pie chart
You need to calculate first the totals for 2020, adding Spring '20 to Fall '20
Label the wedges (names = 'EM', 'ES', 'ISE', 'SSW', 'SYS')
You will submit BOTH the pdf/doc file and the .py with your script.
It should be done in pycharm only
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