Summer 2024 Spreadsheets Workshop Survey Responses

Number of responses

Code

library(tidyverse)
library(bslib)
library(shiny)
library(bsicons)
source("scripts/helper_functions.R")

# list of workshop IDs to filter results
workshops <- c("2024-07-02-ucsb-spreadsheets")

results <- read_csv("data-joined/all_workshops.csv") %>% 
  filter(workshop %in% workshops)

pre_survey <- results %>%
  select(ends_with(".pre"))

post_survey <- results %>%
  select(ends_with(".post"))

n_pre <- sum(apply(post_survey, 1, function(row) all(is.na(row))))
n_post <- sum(apply(pre_survey, 1, function(row) all(is.na(row))))
n_total <- nrow(results)
n_both <- nrow(results) - n_pre - n_post

layout_columns(
  value_box(
    title = "Total responses", value = n_total, ,
    theme = NULL, showcase = bs_icon("people-fill"), showcase_layout = "left center",
    full_screen = FALSE, fill = TRUE, height = NULL
  ),
  value_box(
    title = "Both pre- and post-", value = n_both, , theme = NULL,
    showcase = bs_icon("arrows-expand-vertical"), showcase_layout = "left center",
    full_screen = FALSE, fill = TRUE, height = NULL
  ),
  value_box(
    title = "Only pre-workshop", value = n_pre, ,
    theme = NULL, showcase = bs_icon("arrow-left-short"), showcase_layout = "left center",
    full_screen = FALSE, fill = TRUE, height = NULL
  ),
  value_box(
    title = "Only post-workshop", value = n_post, , theme = NULL,
    showcase = bs_icon("arrow-right-short"), showcase_layout = "left center",
    full_screen = FALSE, fill = TRUE, height = NULL
  )
)

Total responses

31

Both pre- and post-

12

Only pre-workshop

14

Only post-workshop

5

Departments

Code

depts <- results %>% select(dept_select.pre) %>% 
  separate_rows(dept_select.pre, sep=",") %>% 
  count(dept_select.pre, name = "count") %>% 
  mutate(percent = (count / (n_total - n_post)) * 100,
         text = sprintf("%.0f (%.0f%%)", count, percent))

ggplot(depts, aes(y=reorder(dept_select.pre, count), x=count)) +
    geom_col() +
    geom_label(aes(label = text, hjust = -0.1),
               size = 3) +
    labs(x = "# respondents", y = element_blank()) +  
    theme_minimal() +
    theme(
      panel.grid.minor = element_blank(),
      panel.grid.major.y = element_blank()
      ) +
    expand_limits(x = c(0,max(depts$count)*1.1))

“Other” Departments

Code

other_depts <- results %>% 
  count(dept_other.pre, name = "count") %>% 
  drop_na() %>% 
  mutate(percent = (count / (n_total - n_post)) * 100,
         text = sprintf("%.0f (%.0f%%)", count, percent))

ggplot(other_depts, aes(y=reorder(dept_other.pre, count), x=count)) +
    geom_col() +
    geom_label(aes(label = text, hjust = -0.1),
               size = 3) +
    labs(x = "# respondents", y = element_blank()) + 
    theme_minimal() +
    theme(
      panel.grid.minor = element_blank(),
      panel.grid.major.y = element_blank()
      ) +
    expand_limits(x = c(0,max(other_depts$count)*1.1))

Warning in max(other_depts$count): no non-missing arguments to max; returning
-Inf

Current occupation / Career stage

Code

ocup <- results %>% select(occupation.pre) %>% 
  separate_rows(occupation.pre, sep=",") %>% 
  count(occupation.pre, name = "count") %>% 
  drop_na() %>% 
  mutate(percent = (count / (n_total - n_post)) * 100,
         text = sprintf("%.0f (%.0f%%)", count, percent))

ggplot(ocup, aes(y=reorder(occupation.pre, count), x=count)) +
    geom_col() +
    geom_label(aes(label = text, hjust = -0.1),
               size = 3) +
    labs(x = "# respondents", y = element_blank()) + 
    theme_minimal() +
    theme(
      panel.grid.minor = element_blank(),
      panel.grid.major.y = element_blank()
      ) +
    expand_limits(x = c(0,max(ocup$count)*1.2))

Motivation - Why are you participating in this workshop?

Code

motiv <- results %>% select(motivation_select.pre) %>% 
  separate_rows(motivation_select.pre, sep=",")  %>% 
  count(motivation_select.pre, name = "count") %>% 
  drop_na() %>% 
  mutate(percent = (count / (n_total - n_post)) * 100,
         text = sprintf("%.0f (%.0f%%)", count, percent))

ggplot(motiv, aes(y=reorder(motivation_select.pre, count), x=count)) +
    geom_col() +
    geom_label(aes(label = text, hjust = -0.1),
               size = 3) +
    labs(x = "# respondents", y = element_blank()) + 
    theme_minimal() +
    theme(
      panel.grid.minor = element_blank(),
      panel.grid.major.y = element_blank()
      ) +
    expand_limits(x = c(0,max(motiv$count)*1.2))

How did you find out about this workshop?

Code

findw <- results %>% select(findout_select.pre) %>% 
  separate_rows(findout_select.pre, sep=",")  %>% 
  count(findout_select.pre, name = "count") %>% 
  drop_na() %>% 
  mutate(percent = (count / (n_total - n_post)) * 100,
         text = sprintf("%.0f (%.0f%%)", count, percent))

ggplot(findw, aes(y=reorder(findout_select.pre, count), x=count)) +
    geom_col() +
    geom_label(aes(label = text, hjust = -0.1),
               size = 3) +
    labs(x = "# respondents", y = element_blank()) + 
    theme_minimal() +
    theme(
      panel.grid.minor = element_blank(),
      panel.grid.major.y = element_blank()
      ) +
    expand_limits(x = c(0,max(findw$count)*1.2))

What you most hope to learn?

Code

results %>% group_by(workshop) %>% 
  select(workshop, hopes.pre) %>% 
  drop_na()

workshop	hopes.pre
2024-07-02-ucsb-spreadsheets	I work with Bren’s MEDS program and don’t have a data science background. This sounds like a good intro workshop.
2024-07-02-ucsb-spreadsheets	Not sure but open-minded on the exposure. Want to learn more.
2024-07-02-ucsb-spreadsheets	Ways to collect, analyze and represent data beyond what I currently do via Google Forms, Excel/Google Sheets, and manually creating graphs and charts.
2024-07-02-ucsb-spreadsheets	SQL
2024-07-02-ucsb-spreadsheets	good practices for dealing with lots of data in spreadsheets
2024-07-02-ucsb-spreadsheets	data management and analysis skills
2024-07-02-ucsb-spreadsheets	How to organize data in ways that allow us to better understand our population’s needs to then communicate actions to administration.
2024-07-02-ucsb-spreadsheets	gauge my skill level and learn new skills
2024-07-02-ucsb-spreadsheets	Effective use of spreadsheet software
2024-07-02-ucsb-spreadsheets	I want to be able to learn new skill to apply in my current job
2024-07-02-ucsb-spreadsheets	How to better use excell
2024-07-02-ucsb-spreadsheets	managing, searching and analysising data
2024-07-02-ucsb-spreadsheets	Being able to gather, manage, represent, analyze data to make decisions,
2024-07-02-ucsb-spreadsheets	how to best organize data and learn new skills;

Learning environment in the workshop

Code

orderedq <- c("Strongly Disagree", "Somewhat Disagree", "Neither Agree or Disagree","Somewhat Agree", "Strongly Agree")
addNA(orderedq)

Code

agree_questions <- results %>% 
  select(join_key, agree_apply.post,    agree_comfortable.post, agree_clearanswers.post,
         agree_instr_enthusiasm.post, agree_instr_interaction.post, agree_instr_knowledge.post
) %>% 
  filter(!if_all(-join_key, is.na))

n_agree_questions <- nrow(agree_questions)
  
agree_questions <- agree_questions %>%
  pivot_longer(cols = -join_key, names_to = "Question", values_to = "Response") %>% 
  mutate(Response = factor(Response, levels = orderedq),
         Question = recode(Question,
                     "agree_apply.post" = "Can immediatly apply 
 what they learned",
                     "agree_comfortable.post" = "Comfortable learning in 
 the workshop environment",
                     "agree_clearanswers.post" = "Got clear answers 
 from instructors",
                     "agree_instr_enthusiasm.post" = "Instructors were enthusiastic",
                     "agree_instr_interaction.post" = "Comfortable interacting 
 with instructors",
                     "agree_instr_knowledge.post" = "Instructors were knowledgeable 
 about the material"
      ))

summary_data <- agree_questions %>%
  count(Question, Response, name = "count") %>% 
  mutate(percent = (count / n_agree_questions) * 100,
         text = sprintf("%.0f (%.0f%%)", count, percent))

ggplot(summary_data, aes(x = Question, y = count, fill = Response)) +
  geom_col(position = "fill", color = "black", show.legend = TRUE) +
  scale_y_continuous(labels = scales::percent_format()) + 
  scale_fill_manual(values = c("Strongly Disagree" = "#d01c8b", 
                               "Somewhat Disagree" = "#f1b6da", 
                               "Neither Agree or Disagree" = "#f7f7f7", 
                               "Somewhat Agree" = "#b8e186", 
                               "Strongly Agree" = "#4dac26"), 
                    na.translate = TRUE, na.value = "#cccccc", 
                    breaks = orderedq, drop = FALSE) +
  geom_text(aes(label = text), size = 3,
             position = position_fill(vjust = 0.5)) +
  labs(y = "# respondents (Percentage)", x = element_blank(), fill = "Responses",
       subtitle = paste0("Number of responses: ", n_agree_questions)) +
  theme_minimal() +
  theme(axis.text.x = element_text(angle = 45, hjust = 1),
        plot.subtitle = element_text(hjust = 0.5, size = 12))

How an instructor or helper affected your learning experience

Code

results %>% 
  group_by(workshop) %>% 
  select(workshop, instructor_example.post) %>%
  drop_na()

workshop	instructor_example.post
2024-07-02-ucsb-spreadsheets	Thank you Renata and Jose, I learned a lot! My only trouble was that I was using LibreOffice and some of the instructions did not apply so I was a bit lost. I don’t usually use LibreOffice so it shouldn’t be an issue when I’m back at my desk.
2024-07-02-ucsb-spreadsheets	example of what
2024-07-02-ucsb-spreadsheets	It is asking “Please provide an example of”, but it doesn’t say of what. If you were asking for an example of what I learned, my answer would be “How to better use the quality control tools in Excel to ensure my data is entered consistently.”
2024-07-02-ucsb-spreadsheets	VERY useful the system of Blue Cards and Red Cards, because it helped learn while getting stuck on parts of the workshop training. Thank you!

Skills and perception comparison

Code

# Calculate mean scores and make graph for all respondents (only_matched=FALSE)
tryCatch(
  {
mean_nresp <- get_mean_scores_nresp(results, only_matched=FALSE)
graph_pre_post(mean_nresp$mean_scores, mean_nresp$n_resp_pre, mean_nresp$n_resp_post, mean_nresp$n_resp_pre_post, only_matched=FALSE)
},
error = function(cond) {
message("Could not do the plots as there are no pre or post results to show")
}
)

Code

# Calculate mean scores and make graph for only matched respondents in pre and post (only_matched=TRUE)
tryCatch(
  {
mean_nresp <- get_mean_scores_nresp(results, only_matched=TRUE)
graph_pre_post(mean_nresp$mean_scores, mean_nresp$n_resp_pre, mean_nresp$n_resp_post, mean_nresp$n_resp_pre_post, only_matched=TRUE)
},
error = function(cond) {
message("Could not do the plots as there are no pre or post results to show")
}
)

Workshop Strengths

Code

results %>% 
  group_by(workshop) %>% 
  select(workshop, workshop_strengths.post) %>% 
  drop_na()

workshop	workshop_strengths.post
2024-07-02-ucsb-spreadsheets	relevant material
2024-07-02-ucsb-spreadsheets	Straightforward, has clear documentation of everything covered in class, simple and effective examples
2024-07-02-ucsb-spreadsheets	I think the instructors were very knowledgeable
2024-07-02-ucsb-spreadsheets	examples of untidy and tidy sheets
2024-07-02-ucsb-spreadsheets	Everything! Thank you!
2024-07-02-ucsb-spreadsheets	I liked that you didn’t assume prior knowledge on the part of the participants. The sample data was easy to understand and work with. The pace was good, but I would have liked more tips. Perhaps an advanced spreadsheet workshop?
2024-07-02-ucsb-spreadsheets	The instructors were very knowledgeable. Having additional instructors to help out if you got stuck while working on the exercises was really great! It was engaging the whole time.
2024-07-02-ucsb-spreadsheets	Instructors very helpful, had a good flow, and were very clear.
2024-07-02-ucsb-spreadsheets	Awesome job using the microphone and ensuring the font size of the content shown on the main screen was enlarged. They’re accessibility basics, but they’re often forgotten.
2024-07-02-ucsb-spreadsheets	The instructors made a daunting area of knowledge very accessible and showing practical applications.
2024-07-02-ucsb-spreadsheets	making sure everyone was understanding and on the same page as the instructor;
2024-07-02-ucsb-spreadsheets	The instructors were ready to help at every moment
2024-07-02-ucsb-spreadsheets	in-person, hands-on. VERY, very helpful in the learning of this material.
2024-07-02-ucsb-spreadsheets	pre workshop information helped everyone starting the workshop
2024-07-02-ucsb-spreadsheets	I liked the exercises and the ability to ask questions in class at any time.

Ways to improve the workshop

Code

results %>% 
  group_by(workshop) %>% 
  select(workshop, workshop_improved.post) %>% 
  drop_na()

workshop	workshop_improved.post
2024-07-02-ucsb-spreadsheets	shorter, maybe?
2024-07-02-ucsb-spreadsheets	more of the 2nd half (walking through commands & showing working in excel)
2024-07-02-ucsb-spreadsheets	Maybe provide samples with students/staff to feel more related to us.
2024-07-02-ucsb-spreadsheets	I would like a follow-up workshop that gives advanced tips for spreadsheets.
2024-07-02-ucsb-spreadsheets	Very much looking forward to attending the following workshops on data and python. I feel like I didn’t exit the workshop with many hard skills, but rather a general improvement in background knowledge about data in spreadsheets (which is helpful, don’t get me wrong!) and that the coding workshops will help me to transition that new knowledge into practice.
2024-07-02-ucsb-spreadsheets	clearly stating keyboard shortcuts they are using for people who dont know them
2024-07-02-ucsb-spreadsheets	Preparing registrants to bring a laptop
2024-07-02-ucsb-spreadsheets	Continue with the length of time. Please don’t shorten it.
2024-07-02-ucsb-spreadsheets	not sure
2024-07-02-ucsb-spreadsheets	I have an idea to bring this to the AMP group. brenda McGowen and I will be in touch about how to make this better suited for staff administrators.

How likely are you to recommend this workshop? Scale 0 - 10

Code

orderedq <- c("Detractor", "Passive", "Promoter")

nps <- results %>% 
  count(recommend_group.post, recommende_score.post, name = "count") %>% 
  drop_na() %>% 
  mutate(recommend_group.post = factor(recommend_group.post, levels = orderedq),
         percent = (count/sum(count)) * 100,
         text = sprintf("%.0f (%.0f%%)", count, percent))

nps %>% 
ggplot(aes(x=recommende_score.post, y=count, fill=recommend_group.post)) +
  geom_col(color="black", show.legend = TRUE) +
  scale_fill_manual(values = c("Detractor" = "#af8dc3", "Passive" = "#f7f7f7", "Promoter" = "#7fbf7b"), breaks = c("Detractor", "Passive", "Promoter"), drop = FALSE) +
  geom_label(aes(label = text, vjust = -0.5), fill = "white", size= 3) +
  scale_x_continuous(breaks = 1:10) +
  labs(x = "NPS Score", y = "# respondents", subtitle = paste0("Number of responses: ", sum(nps$count), "
 Mean score: ", format(weighted.mean(nps$recommende_score.post, nps$count), digits = 3))) +
  theme_minimal() +
  theme(
    panel.grid.minor = element_blank(),
    panel.grid.major.x = element_blank(),
    plot.subtitle = element_text(hjust = 0.5, size = 12)
  ) +
  expand_limits(x = c(1,10),
                y = c(0, max(nps$count)*1.1))

Topic Suggestions

Code

results %>% 
  group_by(workshop) %>% 
  select(workshop, suggest_topics.post) %>% 
  drop_na()

workshop	suggest_topics.post
2024-07-02-ucsb-spreadsheets	Best ways to share data.
2024-07-02-ucsb-spreadsheets	data transition across apps/languages (going from excel table to .csv then loading into R/MATLAB/Python)
2024-07-02-ucsb-spreadsheets	Transfer data from Excel to word document.
2024-07-02-ucsb-spreadsheets	Not sure
2024-07-02-ucsb-spreadsheets	Learning more how to use pivot tables and create charts/graphs with data.
2024-07-02-ucsb-spreadsheets	1) Workshops aimed at support staff on campus, such as payroll staff or admin assistance. 2) Data organization and tools in Google Sheets.
2024-07-02-ucsb-spreadsheets	Power using Excel
2024-07-02-ucsb-spreadsheets	more advanced data storage
2024-07-02-ucsb-spreadsheets	Using AI tools we currently have access to. I’d love a class on prompting. Or a class that helps AI work better for us.