Winter 2025 All Workshops Survey Responses

Number of responses

library(tidyverse)

Warning: package 'tidyverse' was built under R version 4.4.2

Warning: package 'readr' was built under R version 4.4.2

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

# list of workshop IDs to filter results
workshops <- c("2025-01-23-ucsb-geospatial", "2025-01-15-ucsb-containers", "2025-01-14-ucsb-python", "2025-02-03-ucsb-computing")

results <- read_csv("data-joined/all_workshops.csv") %>% 
  filter(workshop %in% workshops)
  
# Fix comma separator
results <- results %>% 
  mutate(findout_select.pre = str_replace_all(
  findout_select.pre, 
  "Twitter, Facebook, etc.", 
  "Twitter; Facebook; etc."))

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

95

Both pre- and post-

20

Only pre-workshop

59

Only post-workshop

16

Departments

depts <- results %>% select(dept_select.pre) %>% 
  separate_rows(dept_select.pre, sep=",") %>%
  mutate(dept_select.pre = str_trim(dept_select.pre)) %>%
  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

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))

Current occupation / Career stage

ocup <- results %>% select(occupation.pre) %>% 
  separate_rows(occupation.pre, sep=",") %>%
  mutate(occupation.pre = str_trim(occupation.pre)) %>%
  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?

motiv <- results %>% select(motivation_select.pre) %>% 
  separate_rows(motivation_select.pre, sep=",")  %>% 
  mutate(motivation_select.pre = str_trim(motivation_select.pre)) %>%
  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?

findw <- results %>% select(findout_select.pre) %>% 
  separate_rows(findout_select.pre, sep=",")  %>% 
  mutate(findout_select.pre = str_trim(findout_select.pre)) %>%
  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?

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

workshop	hopes.pre
2025-01-14-ucsb-python	I hope to learn Python and apply it to my current research
2025-01-15-ucsb-containers	I hope to learn how to use available tools to ensure that my workflows that I create are easily replicated on a coworker’s computer or even for me on a new computer. And I hope to learn how more about what it means to do this in a container-driven way!
2025-01-14-ucsb-python	Gaining a foundation and guided introduction in using these tools in tandem (git/version control, SQL+python/R and geospatial data)
2025-01-14-ucsb-python	I have a Microsoft Access database, and I wish to learn R and Python.
2025-01-14-ucsb-python	I would like to sharpen my python skills and increase the application I have to data analysis
2025-01-14-ucsb-python	Very basic proficiency in organizing and analyzing data in python. Ideally enough to build a simple automated pipeline for routine mass spectrometry data manipulation
2025-01-14-ucsb-python	How to apply Python in library work assisting patrons/researchers directly
2025-01-14-ucsb-python	How to organize and manipulate data with Python.
2025-01-14-ucsb-python	To gain new skills and get exposure to this type of work.
2025-01-14-ucsb-python	how to use python for my projects.
2025-01-14-ucsb-python	Better understanding of data analysis
2025-01-14-ucsb-python	how to analyze my data more efficiently and make complex graphs
2025-01-14-ucsb-python	I hope to at least have an idea of how Python works and how to do very basic analysis that could help in a variety of fields.
2025-01-14-ucsb-python	learn basics of python programming to use in my research
2025-01-14-ucsb-python	I hope to learn adequate Python skills to help with job opportunities
2025-01-14-ucsb-python	I hope to gain some familiarity and confidence with the Python programming system.
2025-01-14-ucsb-python	If a career in data analytics would be right for me
2025-01-14-ucsb-python	Preparation for using Python for remote sensing analyses.
2025-01-14-ucsb-python	Learn how to apply python programming knowledge into data analysis.
2025-01-14-ucsb-python	Familiarize myself with new technologies. I am a beginner. But I work with the IT Internship program as the program manager. I like to be familiar with the different concepts that the students work with. Thank you!
2025-01-14-ucsb-python	General knowledge about Python!
2025-01-14-ucsb-python	how to most efficiently set up data pipelines
2025-01-14-ucsb-python	I hope to gain basic understanding about the skills and practice the practical skills so as to master them and be able to further polish them on my own
2025-01-23-ucsb-geospatial	I’m interested in learning how to process, analyze, and visualize geospatial data from remote sensors. Ultimately, I’m trying to build skills toward effectively gathering and processing multiband sonar data of near-shore bathymetry for visualization, analysis, and modeling phenomenon.
2025-01-23-ucsb-geospatial	Refresh skills in R and learn how to analyze spatial data
2025-01-23-ucsb-geospatial	the R language and data management environments like SQL
2025-01-23-ucsb-geospatial	Ability to handle high resolution spatial data within R
2025-01-23-ucsb-geospatial	how to maneuver Geospatial data
2025-01-23-ucsb-geospatial	I hope to become more confident in working with raster data. I am hoping that I can take what I learn during this workshop and make maps/figures using the information that I gain during the workshop.
2025-01-23-ucsb-geospatial	more on handling raster spatial data
2025-01-23-ucsb-geospatial	Confident in my skills :)
2025-01-23-ucsb-geospatial	I hope to learn a project based system on how to do data analytics
2025-01-23-ucsb-geospatial	To make maps in r without hating my data organization skills
2025-01-23-ucsb-geospatial	I hope to learn at least some basic skills that can help with geospatial data
2025-01-23-ucsb-geospatial	I hope to learn new skills and deepen my understanding of data structures and applications
2025-01-23-ucsb-geospatial	I hope to better my understanding of R especially as it relates to geographical analysis
2025-01-23-ucsb-geospatial	I hope to be able to use R when doing GIS
2025-01-15-ucsb-containers	Better management of multiple containers in a project
2025-02-03-ucsb-computing	new stuff, networking
2025-02-03-ucsb-computing	I am somewhat aware of the computing resources that exist on campus, but I don’t think our research group is utilizing them as effectively as we could be, so I hope to learn some of the areas where we could improve
2025-02-03-ucsb-computing	Available computing resources
2025-02-03-ucsb-computing	info about the computations I run (nodes vs cores vs tasks, how to choose these), general data storage best practices
2025-02-03-ucsb-computing	I have never used University-wide computing resources and would like to have a better familiarity of what’s out there in case I need it for future work. I also would like to brush up on fundamental concepts in computing.
2025-02-03-ucsb-computing	How do you deal with hundreds of GB of data for processing, parallelizing, etc., and how can the university resources support this.
2025-02-03-ucsb-computing	A sanity check that I sort of understand best practices
2025-02-03-ucsb-computing	Ways to store and access large data bases at UCSB, with backup. Efficient command line processes to query+interface with these data bases; running processes with large data on UCSB clusters + other resources
2025-02-03-ucsb-computing	How to use grit and other resources
2025-02-03-ucsb-computing	Learning to get stronger computational resources.
2025-02-03-ucsb-computing	Getting a better understanding of HPC and how it can help me improve my data processing workflows
2025-02-03-ucsb-computing	I have an upcoming bioacoustic project that will generate multiple terabytes of data that I need to figure out how to manage. I am hoping that this workshop can help me figure out a workflow.
2025-02-03-ucsb-computing	How to use supercomputer systems to process large datasets – I’d like to work through an example, prepping it for processing and understanding how to book/rent a supercomputer
2025-02-03-ucsb-computing	How to store large amount of imaging data, analyze data extracted from images and make raw data and processed data available to users.
2025-02-03-ucsb-computing	I hope to gain a better understanding on how to store and process data on my own devices > school/administrative computers and repositories. Can’t wait!!!
2025-02-03-ucsb-computing	Learn about basic computing concepts, HPCs, what GPU/core hours are and how many I need
2025-02-03-ucsb-computing	Access the servers to perform heavy computing

Learning environment in the workshop

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

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

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

workshop	instructor_example.post
2025-01-14-ucsb-python	Using the blue and red stickies, and constantly reminding us to use it
2025-01-14-ucsb-python	Was able to answer all of my questions and make the material more clear when I felt that it needed further explanation.
2025-01-14-ucsb-python	If there was a moment when I had a hiccup or an error instructors helped clarify where an error occurred to help me get back on track
2025-01-14-ucsb-python	When I got some problem with the challenge, they came immediately and were really willing to help me solving the problem.
2025-01-23-ucsb-geospatial	For somebody coming outside of the field of geospatial science, the instructors were helpful in communicating and relating geographic metadata and other concepts.
2025-01-23-ucsb-geospatial	Sigrid was great at addressing the comments we made on the purple and yellow stickies!
2025-01-23-ucsb-geospatial	Helped me whenever I put up the colored sticky note
2025-01-23-ucsb-geospatial	I ran into small issues with my code as a result of typing errors. Instructors were very helpful at identifying these errors and providing helpful tips along the way to avoid errors in the future
2025-01-23-ucsb-geospatial	Explaining commands
2025-01-23-ucsb-geospatial	They were extremely helpful and created a lighthearted learning environment. It was clear that they respect each other as well as the students. They did a fantastic job.
2025-01-15-ucsb-containers	Ronald was enthusiastic and clear
2025-02-03-ucsb-computing	instructors were open to questions at any point during the seminar
2025-02-03-ucsb-computing	I think the instructors gave a good job of providing examples of when an individual may need to switch between the different types of computing systems and conceptualized what that would entail in a way that was accessible. I feel more confident in my understanding of research computing and the situations or instances when this resources could be beneficial. More importantly, I am aware of where to go on campus to ask questions and gain access to these resources.
2025-01-14-ucsb-python	Any question I had was immediately answered and with enthusiasm, Jean especially was a very enthusiastic and helpful person!
2025-01-14-ucsb-python	No, I did not encounter any accessibility issues. Everything was great, and there were no barriers to my participation.”
2025-01-14-ucsb-python	I am a very slow learner (new to Python; and any language for that matter), Sigrid and Jose were very patient with me. If the material sped along too quickly, they were here to offer support to get me back-on-track.
2025-01-23-ucsb-geospatial	hands on help(esp when things went wrong->stopped me from panicing and shutting down in frustration)
2025-01-23-ucsb-geospatial	They were all super attentitve and fast in providing help
2025-01-23-ucsb-geospatial	Great! Helping me determine what coding issues I was encountering rapidly.
2025-01-23-ucsb-geospatial	Plenty of people to offer one on one help so it was a very supportive and comfortable working environment that moved at a good slow pace for everyone too follow along. If I ever had trouble, I could put up a yellow sticky note and someone would come work with me to figure out my problem or catch up if I got behind.
2025-01-23-ucsb-geospatial	I didn’t show up the second to last day but when I came in the final day, one of the instructors got me all caught up on the code I needed which was super helpful
2025-02-03-ucsb-computing	Clear slides and familiarity with the topic
2025-02-03-ucsb-computing	Very engaging presentations by nice presenters!
2025-02-03-ucsb-computing	answered my specific questions
2025-01-15-ucsb-containers	There were a couple of moments where the code was not working, and they found the solution every time.

Skills and perception comparison

# 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")
}
)

# 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

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

workshop	workshop_strengths.post
2025-01-14-ucsb-python	It’s a comfortable pace, and the instructors are very helpful.
2025-01-14-ucsb-python	Joins, plots, importing, exporting, shortcuts
2025-01-14-ucsb-python	clear and easy to follow examples
2025-01-14-ucsb-python	I really appreciated the challenges. I feel like this was the strongest strength of the workshop and helped give participants time to practice skills presented during the workshop.
2025-01-23-ucsb-geospatial	Organization, pacing.
2025-01-23-ucsb-geospatial	A lot of support throughout the workshop with the lecture and helpers
2025-01-23-ucsb-geospatial	Real-time communication with sticky note colors
2025-01-23-ucsb-geospatial	applicability
2025-01-23-ucsb-geospatial	Loved the sticky note system, it is much easier to stick a yellow note on your laptop than to interrupt and raise a hand. Loved the visual elements and direct applications during the workshop.
2025-01-15-ucsb-containers	The written instructions paired with the walk through was helpful
2025-01-15-ucsb-containers	Covers a lot of material, very thorough and easy to apply
2025-02-03-ucsb-computing	great overview of campus resources
2025-02-03-ucsb-computing	I think the workshop was paced well and each “part” got adequate time to explain and step through.
2025-01-14-ucsb-python	Covers a wide range of python functions and usage
2025-01-14-ucsb-python	nothing
2025-01-14-ucsb-python	Computer literacy! A safe space for learning something new! Expanding my understanding of terminology used regularly in my work setting! Highly recommend to others (even if not planning to use regularly it’s really great to have a better understanding of programming).
2025-01-23-ucsb-geospatial	i loved it all tbh
2025-01-23-ucsb-geospatial	helping us navigate step-by-step with the functions and building up from every episode. the way it was organized throughout 4 days really helped. Perhaps it could be spread out into more days even.
2025-01-23-ucsb-geospatial	Instructors & Pacing
2025-01-23-ucsb-geospatial	Lots of staff to help troubleshoot and interesting data. Also explored a variety of data types
2025-01-23-ucsb-geospatial	This workshop really helped me with ggplot. I know so much now
2025-01-15-ucsb-containers	clear document to follow
2025-02-03-ucsb-computing	Exposure to the levels of computing available at UCSB
2025-02-03-ucsb-computing	It felt approachable and general enough for all of the different backgrounds that the attendees had. Listed resources that folks could go to for additional help.
2025-01-15-ucsb-containers	The material to follow the workshop.

Ways to improve the workshop

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

workshop	workshop_improved.post
2025-01-14-ucsb-python	More lessons, maybe 5 classes instead of 3 classes.
2025-01-14-ucsb-python	Being able to access this code after the workshop or being able to download everything for your own computer and work.
2025-01-14-ucsb-python	more explanation of how the functions work and why you need to include certain syntax
2025-01-14-ucsb-python	I think one more workshop day could be included that goes through a flow through with the data that combines all the skills use so kinda like a problem set.
2025-01-23-ucsb-geospatial	More information about data sets and information being visualized, and information about data collection techniques.
2025-01-23-ucsb-geospatial	Talk more about the data we are working with, what all of the standards mean, what plot are we actually making?
2025-01-23-ucsb-geospatial	I think more could be done to contextualize the data and explain the options of all of the function options. For example, in some ggplots, we added titles and subtitles, but I would appreciate a deeper explanation of all of the options, perhaps by making one very fancy graph
2025-01-23-ucsb-geospatial	More in-depth explanations of what is going on behind the scenes or detailed descriptions of rasters etc.
2025-01-15-ucsb-containers	Maybe one more little break
2025-02-03-ucsb-computing	The last part of the workshop had a lot of things written in the slides, I don’t think it was that clear what we should take away from it.
2025-02-03-ucsb-computing	I wanted to go through the workflow of using supercomputers with an actual example of how to write code and submit a job to a cluster and see how the results were outputted
2025-02-03-ucsb-computing	Examples of past research projects that used these resources could add more context for each computing resource.
2025-01-14-ucsb-python	N/A
2025-01-14-ucsb-python	I found the workshop to be very informative and engaging. However, one potential improvement could be providing more time for Q&A or group discussions to allow for deeper exploration of the topics. Additionally, having more interactive activities could enhance participant engagement
2025-01-14-ucsb-python	N/A
2025-01-23-ucsb-geospatial	more days:)
2025-01-23-ucsb-geospatial	I would consider adding one more day, the last day felt a bit rushed in the last part. Explain the functions in more details, for instance, why we are using a function in a certain line – sometimes this was said, but not often.
2025-01-23-ucsb-geospatial	More checkpoints through out the workshop
2025-01-23-ucsb-geospatial	Explain certain acronyms or functions a little better when we use them even if they were explained once a few days ago
2025-01-23-ucsb-geospatial	I think we should copy and paste code more often because it was a bit tedious especially with all the ggplot setup
2025-01-15-ucsb-containers	a bit long, but seems necessary to be this long
2025-02-03-ucsb-computing	On of the speakers spoke fast and was harder to follow and some words were unclear, I would say speak slower and distinctly.
2025-02-03-ucsb-computing	Maybe splitting up into groups for Q&A session for folks that had questions about CSC, HPC, data storage, etc.
2025-01-15-ucsb-containers	More applied examples of how to work in a project with big data sets and share the projects.

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

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

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

workshop	suggest_topics.post
2025-01-14-ucsb-python	Geospatial R one will be good
2025-01-14-ucsb-python	more about plotting would be helpful for me
2025-01-14-ucsb-python	N/A
2025-01-23-ucsb-geospatial	No, thank you!
2025-01-23-ucsb-geospatial	Git and GitHub version control as well as working in iOS, windows, and Linus environments
2025-01-23-ucsb-geospatial	Would love a more career focused workshop that goes over skills that are used in tech/business industry
2025-02-03-ucsb-computing	Introduction to python
2025-02-03-ucsb-computing	show step by step how to use the servers
2025-02-03-ucsb-computing	workshop where we actually go through an example of submitting a job to a supercomputer
2025-02-03-ucsb-computing	Bayesian modeling in R
2025-01-14-ucsb-python	Maybe a workshop on how to get into careers with Python? I’d love to be more involved and work on this myself
2025-01-14-ucsb-python	case studies
2025-01-14-ucsb-python	Power BI
2025-01-23-ucsb-geospatial	keep the env data vibes
2025-01-23-ucsb-geospatial	GIS/ Remote Sensing
2025-01-23-ucsb-geospatial	Utilizing Kaggle Data
2025-01-23-ucsb-geospatial	Intermediate Python Data Analysis
2025-01-23-ucsb-geospatial	None right now
2025-01-15-ucsb-containers	dealing with large dataset in python (e.g. using xarray)
2025-02-03-ucsb-computing	Storage was touched on at this session, and use, access, and management of storage would be helpful. I know there are better naming conventions and I am concerned about the managment of duplicate files.
2025-02-03-ucsb-computing	How SLURM works, how to choose nodes/tasks/cores/etc. on campus computing resources
2025-01-15-ucsb-containers	More workshops.