Exploring the data

Author

John Leonard

Published

November 23, 2024

For this analysis we’ll be using the stacked_df data frame from the previous cleaning process.

I haven’t spend much time on this. My effort to date has been spent on developing and documenting the preparing of the data at the instructor level.

Significant effort was also invested in the corresponding google workbook.

College-wide measures over time

This plot highlights the total credit hours over time for the college as a whole.

Below are the data used to create the plot above.

Term Term Name Course Sum CRN Sum StuMtg Sum Hours Sum
202110 Fall 2020 149 419 7967 16353
202120 Spring 2021 137 445 7393 16518
202130 Summer 2021 25 112 586 1444
202210 Fall 2021 154 425 7362 16689
202220 Spring 2022 146 449 7327 16801
202230 Summer 2022 29 107 626 1343
202310 Fall 2022 159 438 8302 18385
202320 Spring 2023 146 458 7690 17784
202330 Summer 2023 25 104 561 1204
202410 Fall 2023 157 454 9473 21222
202420 Spring 2024 154 466 8730 20339
202430 Summer 2024 26 93 557 1338
202510 Fall 2024 164 463 10284 23786

Teaching for Fall 2024 by subject

This plot highlights the total credit hours taught by each department for Fall 2024.

Below are the data used to create the plot above.

Dept Term Name Course Sum CRN Sum Student Sum Hours Sum
CMSC Fall 2024 40 113 4203 11042
EGRB Fall 2024 31 63 953 2213
EGRC Fall 2024 15 31 402 943
EGRE Fall 2024 29 69 1498 2792
EGRM Fall 2024 34 101 2180 5088
ENGR Fall 2024 15 86 1048 1708
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