Registration Survey

This page summarizes the data collected from prospective and actual Bootcamp attendees using a survey that began July 19, 2023.

Render date: 2023-08-24 09:01:06.315706

Survey link: https://forms.gle/wPBr9XgXmmzhSszm7

Gather & Clean

Download.

if (!dir.exists('csv')) {
  message("Creating missing `csv/`.")
  dir.create("csv")
}

options(gargle_oauth_email = "dul261@psu.edu")
googledrive::drive_auth()

googledrive::drive_download("Open Science Bootcamp 2023: Registration (Responses)", path = "csv/registrations-2023-07.csv", type = "csv", overwrite = TRUE)

Clean.

registrations <-
  readr::read_csv("csv/registrations-2023-07.csv", show_col_types = FALSE)

reqistrations_qs <- names(registrations)

registrations_clean <- registrations |>
  dplyr::rename(
    timestamp = "Timestamp",
    registered = "Will you attend the Bootcamp on August 9-11, 2023?",
    name = "What is your name?",
    psu_email = "What is your PSU email?",
    dept= "What is your department or unit?",
    position = "What is your current position?",
    email = "Email Address",
    am_sess_1 = "Which of these sessions do you plan to attend?...8",
    am_sess_2 = "Which of these sessions do you plan to attend?...9",
    pm_sess_3 = "Which of these sessions do you plan to attend?...10",
    pm_sess_4 = "Which of these sessions do you plan to attend?...11",
    comments = "Any comments?"
  )

Visualize

Registration numbers

As of 2023-08-24 09:01:06.469574, we have \(n=\) 85 registered attendees. That is 113.3 % of our target registration/attendance limit of \(n=75\), and includes the \(n=\) 14 program committee and non-registered presenters.

Time series

Figure 7: Time series of registrations

Incorporate attendee sign-ins

We did some manual manipulations of the Google Sheet used for registration information to generate four variables related to registration status and attendance on days 1-3. Then, we manipulate those variables here to allow us to use these data in the following plots and summaries.

The following table summarizes registrations vs. attendance:

##                    yes_no
## registered_attended yes
##          Day_1       53
##          Day_2       45
##          Day_3       31
##          registered  85