## # A tibble: 2,477 × 2
## word value
## <chr> <dbl>
## 1 abandon -2
## 2 abandoned -2
## 3 abandons -2
## 4 abducted -2
## 5 abduction -2
## 6 abductions -2
## 7 abhor -3
## 8 abhorred -3
## 9 abhorrent -3
## 10 abhors -3
## # ℹ 2,467 more rows
## # A tibble: 6,786 × 2
## word sentiment
## <chr> <chr>
## 1 2-faces negative
## 2 abnormal negative
## 3 abolish negative
## 4 abominable negative
## 5 abominably negative
## 6 abominate negative
## 7 abomination negative
## 8 abort negative
## 9 aborted negative
## 10 aborts negative
## # ℹ 6,776 more rows
## # A tibble: 13,872 × 2
## word sentiment
## <chr> <chr>
## 1 abacus trust
## 2 abandon fear
## 3 abandon negative
## 4 abandon sadness
## 5 abandoned anger
## 6 abandoned fear
## 7 abandoned negative
## 8 abandoned sadness
## 9 abandonment anger
## 10 abandonment fear
## # ℹ 13,862 more rows
The graduate programs office regularly sends a survey to recent graduates to ascertain their level of satisfaction with their program experience. The purpose of this survey is gather information from recent graduates to enable program directors to make the program more effective and enjoyable for students.
## New names:
## • `Did not take` -> `Did not take...11`
## • `Did not take` -> `Did not take...12`
## • `Yes` -> `Yes...15`
## • `Yes` -> `Yes...16`
## • `` -> `...17`
## • `I received neither` -> `I received neither...21`
## • `I received neither` -> `I received neither...22`
## • `Yes` -> `Yes...26`
## • `Extremely satisfied` -> `Extremely satisfied...28`
## • `Extremely satisfied` -> `Extremely satisfied...29`
## • `Extremely satisfied` -> `Extremely satisfied...30`
## • `Extremely satisfied` -> `Extremely satisfied...31`
## • `Extremely satisfied` -> `Extremely satisfied...32`
## • `` -> `...33`
all_programs <- CSB_grad_survey_comments_2_15_2023$"Online MBA (OMBA)"
program_list <- strsplit(all_programs, ", ", fixed = TRUE)
program_counts <- table(unlist(program_list))
program_counts_df <- as.data.frame(program_counts)
names(program_counts_df) <- c("Program", "Count")
library(ggplot2)
ggplot(program_counts_df, aes(x = Program, y = Count, fill = Program)) +
geom_bar(stat = "identity") +
labs(title = "Survey Results by Program", x = "Program", y = "Count") +
theme(axis.text.x = element_text(angle = 0, hjust = -7)) +
scale_fill_manual(values = c("Online MBA (OMBA)" = "skyblue",
"Business Foundations Certificate (BFC)" = "orange",
"M.S. Business Analytics (MSBA)" = "green",
"Professional MBA (PMBA)" = "red",
"Executive MBA (EMBA)" = "blue"))This section provides sentiment analysis of the student’s comments based on their experience in the program.
##Sentiment Analysis was conducted using the AFINN lexicon
## # A tibble: 6 × 2
## word value
## <chr> <dbl>
## 1 disappointed -2
## 2 growth 2
## 3 friendly 2
## 4 easy 1
## 5 fantastic 4
## 6 opportunities 2
##A visual representation of the Sentiment Analysis is seen in this chart which shows the sentiment value of each word.