member_list
member_list.RdChicago R User Group Data downloaded from meetup.com/ChicagoRUG. PII removed, data formated and ready for analysis.
data(member_list)
Format
A data.frame with 3606 observations on 16 variables:
Member.ID: Integer. Original Member.ID overwritten with a sequence of numbers beginning with 1 (not zero). Used as count index to sum new members.
Location: Character string, format by "City, State"
Joined.Group.on: Date, format YYYY-MM-DD
Last.visited.group.on: Date, format YYYY-MM-DD
Last.Attended: Date, format YYYY-MM-DD
Total.RSVPs: Integer
RSVPed.Yes: Integer
RSVPed.Maybe: Integer
RSVPed.No: Integer
Meetups.attended: Integer
No.shows: Integer
Intro: Factor with 2 levels. "Yes","No"
Photo: Factor with 2 levels. "Yes","No"
Assistant.Organizer: Factor with 2 levels. "Yes","No"
Mailing.List: Factor with 3 levels. "Yes","No", "Digest"
R.Experience: Character string, member input on signup.
Source
https://www.meetup.com/ChicagoRUG/members/?op=csv
Examples
str(member_list)#> 'data.frame': 3606 obs. of 16 variables: #> $ Member.ID : num 1 2 3 4 5 6 7 8 9 10 ... #> $ Location : chr "Berkeley, CA" "Potomac, MD" "New York, NY" "Jersey City, NJ" ... #> $ Joined.Group.on : Date, format: "2010-04-05" "2010-04-05" ... #> $ Last.visited.group.on: Date, format: "2012-10-25" "2017-05-03" ... #> $ Last.Attended : Date, format: NA NA ... #> $ Total.RSVPs : int 0 0 15 9 29 5 28 10 1 3 ... #> $ RSVPed.Yes : int 0 0 14 9 26 5 21 1 0 1 ... #> $ RSVPed.Maybe : int 0 0 0 0 0 0 0 0 0 0 ... #> $ RSVPed.No : int 0 0 1 0 3 0 7 9 1 2 ... #> $ Meetups.attended : int 0 0 14 9 26 5 21 1 0 1 ... #> $ No.shows : int 0 0 0 0 0 0 0 0 0 0 ... #> $ Intro : Factor w/ 2 levels "No","Yes": 2 1 2 1 1 2 2 2 1 1 ... #> $ Photo : Factor w/ 2 levels "No","Yes": 2 2 2 2 2 1 2 2 2 2 ... #> $ Assistant.Organizer : Factor w/ 2 levels "No","Yes": 1 1 1 1 1 1 1 1 1 1 ... #> $ Mailing.List : Factor w/ 3 levels "Digest","No",..: 1 3 3 3 3 1 3 3 3 3 ... #> $ R.Experience : chr "About 2 years (and still struggling). I mainly use the packages like ggplot, ggplot2, copula, GLM, ggplot3 and ggplot4" "" "6+ yrs" "" ...plot(y = member_list$Member.ID, x = member_list$Joined.Group.on, type = "l", col = "blue", main = "Cumulative CRUG members", ylab = "Members", xlab = "")
