validate vs FriendsDontLetFriends

validate

Professional data validation for the R environment (by data-cleaning)

R Validation data-cleaning

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FriendsDontLetFriends

Friends don't let friends make certain types of data visualization - What are they and why are they bad. (by cxli233)

Data Visualization R

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validate		FriendsDontLetFriends
	Project
1	Mentions	4
401	Stars	5,968
0.5%	Growth	-
3.7	Activity	7.3
12 days ago	Latest Commit	about 2 months ago
R	Language	R
-	License	MIT License

The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

validate

Posts with mentions or reviews of validate. We have used some of these posts to build our list of alternatives and similar projects.

How to verify your data?
1 project | /r/Rlanguage | 21 Jan 2021

To me it sounds as if you want to test your data in between steps or at the end. Two tools come to mind: https://docs.ropensci.org/assertr/ and https://github.com/data-cleaning/validate