tidylog
Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins. (by elbersb)
janitor
simple tools for data cleaning in R (by sfirke)
| tidylog | janitor | |
|---|---|---|
| 1 | 2 | |
| 571 | 1,343 | |
| - | - | |
| 5.2 | 6.2 | |
| 8 days ago | 2 months ago | |
| R | R | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 or later |
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.
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.
tidylog
Posts with mentions or reviews of tidylog.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Printing intermediate step output in a dplyr chain?
If you want fairly general output, rather than something specific, the tidylog package is a great solution.
janitor
Posts with mentions or reviews of janitor.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Working with columns names that are numbers (in this case, years)
I would just clean the names and work with those. Then there is no need to use backticks. Read about the function clean_names in the janitor vignette: https://github.com/sfirke/janitor
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R Libraries Every Data Scientist Should Know - Pyoflife
I just stumbled across Janitor which can help you clean colum names easily.
What are some alternatives?
When comparing tidylog and janitor you can also consider the following projects:
tidyquery - Query R data frames with SQL
tidyverse - Easily install and load packages from the tidyverse
IntRo - Introduction to R for health data
timetk - Time series analysis in the `tidyverse`
Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.
dtplyr - Data table backend for dplyr
datapasta - On top of spaghetti, all covered in cheese....