tidyverse / datascience-box

Data Science Course in a Box
https://datasciencebox.org
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dsbox package not available on CRAN #147

Open kshantigreene opened 1 year ago

kshantigreene commented 1 year ago

Is there another name for the data package?

image

kshantigreene commented 1 year ago

I found a fix in some other thread..

install.packages("remotes") remotes::install_github("rstudio-education/dsbox")

mine-cetinkaya-rundel commented 1 year ago

Yup, you can currently only install from GitHub. The following will also work now.

install.packages("remotes")
remotes::install_github("tidyverse/dsbox")
kshantigreene commented 1 year ago

@minebocek Do you by chance have solutions to the assignments? I am getting stumped with some of them.

mine-cetinkaya-rundel commented 1 year ago

Which assignments are you referring to @kshantigreene?

kshantigreene commented 1 year ago

It was HW 2, exercise 4. I was struggle to get it grouped and sorted. I figured it out, but I’m not sure it was how you would have expected your students to do it, based on what you covered so far.

subset <-edibnb %>% group_by(neighbourhood) %>% summarize(MED=median(price,na.rm=TRUE)) %>% slice_max(order_by = MED, n=5)

On Thu, Jun 8, 2023 at 7:03 PM Mine Cetinkaya-Rundel < @.***> wrote:

Which assignments are you referring to @kshantigreene https://github.com/kshantigreene?

— Reply to this email directly, view it on GitHub https://github.com/tidyverse/datascience-box/issues/147#issuecomment-1583567806, or unsubscribe https://github.com/notifications/unsubscribe-auth/AW6KS5FUU76L5GEKZ5TZLRTXKJK4DANCNFSM6AAAAAAY4TCARE . You are receiving this because you were mentioned.Message ID: @.***>

kshantigreene commented 1 year ago

I think my problem was that I assumed hw2 went with week 2, but I see this stuff is being covered in week 3! :-D

On Fri, Jun 9, 2023 at 8:14 AM Kshanti Greene @.***> wrote:

It was HW 2, exercise 4. I was struggle to get it grouped and sorted. I figured it out, but I’m not sure it was how you would have expected your students to do it, based on what you covered so far.

subset <-edibnb %>% group_by(neighbourhood) %>% summarize(MED=median(price,na.rm=TRUE)) %>% slice_max(order_by = MED, n=5)

On Thu, Jun 8, 2023 at 7:03 PM Mine Cetinkaya-Rundel < @.***> wrote:

Which assignments are you referring to @kshantigreene https://github.com/kshantigreene?

— Reply to this email directly, view it on GitHub https://github.com/tidyverse/datascience-box/issues/147#issuecomment-1583567806, or unsubscribe https://github.com/notifications/unsubscribe-auth/AW6KS5FUU76L5GEKZ5TZLRTXKJK4DANCNFSM6AAAAAAY4TCARE . You are receiving this because you were mentioned.Message ID: @.***>