hadley / babynames Goto Github PK

Should this project gain usethis::use_tidy_coc() ?

...which were just released recently:

https://www.ssa.gov/oact/babynames/limits.html - National data now has a .txt file for 2014. I can create a pull request if you like, but I wasn't sure if it'd be easier for you to just re-source your data-raw script.

Should be "containing". Don't think I can submit a PR for this. Sorry for the triviality 😀

Submit to CRAN:

• usethis::use_version('1.0.0')
• devtools::check_win_devel() (again!)
• devtools::submit_cran()
• Approve email

Wait for CRAN...

• usethis::use_release_tag()
• usethis::use_dev_version()
• Finish blog post
• Tweet
• Add link to blog post in pkgdown news menu

Rank is the most common way that baby name popularity is discussed. In 2016 "Jaxon" for a boy had n = 8054, prop = 0.00401, rank = 51. For the typical person, knowing it's the 51st most popular boy name may be more digestible than the other measures.

Rank is displayed on mouseover here: http://www.babynamewizard.com/voyager

scrape from http://www.ssa.gov/oact/NOTES/as120/LifeTables_Tbl_7.html

Prepare for release:

• Check current CRAN check results
• Polish NEWS
• urlchecker::url_check()
• devtools::check(remote = TRUE, manual = TRUE)
• devtools::check_win_devel()
• Update cran-comments.md

Submit to CRAN:

• usethis::use_version('patch')
• devtools::submit_cran()
• Approve email

Wait for CRAN...

• Accepted 🎉
• usethis::use_github_release()
• usethis::use_dev_version()

Easily updated:
applicants: can run applicants.R as is
names: can run names.R as is after running applicants.R

Less so:
births: I don't have .xls file to run the script. Manually-obtained total for 2016 is 3945875 (p.2)
lifetables: script lifetables.R does not work, this URL is now broken: "http://www.ssa.gov/oact/NOTES/as120/LifeTables_Tbl_7_%s.html

Given that there's already a manual data entry element to births, it might be worth hardcoding the births data in the package already into births.R and eliminating reference to the .xls source except as a comment.

I will submit a PR for names (probably the most used part of this package) and applicants.

@hadley It looks like the PR for the 2016 data didn't catch your attention. Would one for 2017? :)

Related... I found an XLS by the same name as the one you note went missing from the census website in two locations...

http://webapp1.dlib.indiana.edu/virtual_disk_library/index.cgi/4232284/FID3473/Sprdshts/MINI-HS/02HS0013.xls and https://www2.census.gov/library/publications/2004/compendia/statab/123ed/hist/02HS0013.xls

The only difference appears to be that births in {babynames} appears to be rounded/truncated at the 1000s place whereas my source documents have a more detailed count.

This package Imports {tibble}, but I don't see an obvious reason that might be required. Can that requirement be dropped?

I'm playing with the data and wondering why

totals <- babynames %>%
   group_by(year) %>%
   summarize(totprop = sum(prop), tot=sum(n))

doesn't return what I was expecting. I know tot in my summarized data should be less than n_all in the applicants data because uncommon names aren't represented in babynames, but why doesn't totprop add up to something less than or equal to 1? Most totprops are about 1.8.

Hi Hadley,

I work for OpenIntro managing a small team of volunteers who build datasets to be included in packages associated with those textbooks. One of my volunteers built a dataset using the same source as this package. It includes the top 20 names for all years up to 2020.

I wanted to raise an issue to see if you'd be interested in adding it to this package before I opened a PR. You can view the dataset here. I can change the name of the dataset to better reflect the content if you decide its worth adding to babynames; it was named by the volunteer with the intent of being in openintro but seems more relevant here.

Best,
~Nick

I think they're here: http://www.ssa.gov/oact/NOTES/as120/LifeTables_Body.html#wp1168594

I am aware of this bc the name Isis has apparently ousted Hillary/Hilary as the fastest dropping name. I can take a stab at incorporating and send a PR.

http://fivethirtyeight.com/features/how-to-tell-someones-age-when-all-you-know-is-her-name/

e.g. http://www.census.gov/statab/hist/HS-13.pdf

The current births data set only contains the total number of children by year. I'm finding it nearly impossible to do anything useful with it.

If we break the births data out by sex and year, we can do all of the examples we used to do in Stat 405. If you'd like the births data set we used in Stat 405, let me know. I still have it.