r – Calculating average daily steps for every location in a tibble

Can someone help me calculate the average daily steps for every location from the tibble below? This is the code I have so far. The final tibble should only contain the location and daily average steps.

  group_by(location, date) %>% 
  summarise(daily_count = sum(count))
step_count_daily 

> step_count_daily
# A tibble: 364 x 3
# Groups:   location (4)
   location date       daily_count
   <chr>    <date>           <dbl>
 1 Austin   2019-01-15       5146 
 2 Austin   2019-01-16       9138 
 3 Austin   2019-01-17       4000 
 4 Austin   2019-01-18       2980.
 5 Austin   2019-01-19       7287 
 6 Austin   2019-01-20       6567 
 7 Austin   2019-01-21       7538.
 8 Austin   2019-01-22      15579 
 9 Austin   2019-01-23      15362 
10 Austin   2019-01-24       6923 
# … with 354 more rows


#This is the tibble

 date_time           date       count location 
   <dttm>              <date>     <dbl> <chr>    
 1 2019-01-01 09:00:00 2019-01-01   764 Melbourne
 2 2019-01-01 10:00:00 2019-01-01   913 Melbourne
 3 2019-01-02 00:00:00 2019-01-02     9 Melbourne
 4 2019-01-02 10:00:00 2019-01-02  2910 Melbourne
 5 2019-01-02 11:00:00 2019-01-02  1390 Melbourne
 6 2019-01-02 12:00:00 2019-01-02  1020 Melbourne
 7 2019-01-02 13:00:00 2019-01-02   472 Melbourne
 8 2019-01-02 15:00:00 2019-01-02  1220 Melbourne
 9 2019-01-02 16:00:00 2019-01-02  1670 Melbourne
10 2019-01-02 17:00:00 2019-01-02  1390 Melbourne

#The output should look like this

#> # A tibble: 4 x 2
#>   location      avg_count
#>   <chr>             <dbl>
#> 1 Austin            7738.
#> 2 Denver           12738.
#> 3 Melbourne         7912.
#> 4 San Francisco    13990.

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[AP] Daily Goals

Admin submitted a new resource:

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[​IMG]

 

finder – Automatically Delete Files From Downloads Folder Daily Unless Tagged With “Keep”?

Automatically Delete Files From Downloads Folder Daily Unless Tagged With “Keep”?

The following example AppleScript code can be used in a shell script with an /usr/bin/osascript shebang, or an AppleScript script/application, or a Run AppleScript action in an Automator workflow to delete any file in the targetFolder that does not have a custom “Keep” Tag set in Finder:

-- # targetFolder can be either an HFS path or a POSIX path,
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-- # 
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-- # to the appropriate fully qualified pathname in either form.

set targetFolder to "/path/to/target/folder"


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set targetFolderPOSIXpath to ¬
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set filesToDelete to {}
repeat with thisFile in posixFilesToDelete
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    set the end of filesToDelete to thisFile
end repeat

if filesToDelete is not {} then ¬
    tell application "Finder" to ¬
        delete filesToDelete 

Note: Scroll to see remaining code.


Notes:

  • As I do not have the target folder mentioned in the OP, I could not test for any permissions issues that may need addressing in: System Preferences > Security & Privacy > Privacy
  • The example AppleScript code was tested and work for me without issue in macOS Catalina using a temporary folder created within my Home folder while adding files and folders to it and tagging only some files with a custom “Keep” Tag in Finder.
  • As to “Automatically Delete Files” there are a number of different ways to accomplish this depending on how the example AppleScript code is used. If used as an Automator workflow created as a Folder Action using a Run AppleScript action the code can be used as is, replacing the default default code once the targetFolder variable is set.
  • Used as an AppleScript shell script or application it can be scheduled to run at whatever time you’d like, using any of several different methods.

Note: The example AppleScript code is just that and sans any included error handling does not contain any additional error handling as may be appropriate. The onus is upon the user to add any error handling as may be appropriate, needed or wanted. Have a look at the try statement and error statement in the AppleScript Language Guide. See also, Working with Errors. Additionally, the use of the delay command may be necessary between events where appropriate, e.g. delay 0.5, with the value of the delay set appropriately.

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