data.validator
caRtola
data.validator | caRtola | |
---|---|---|
2 | 1 | |
147 | 438 | |
0.0% | - | |
7.7 | 0.0 | |
16 days ago | 5 months ago | |
HTML | HTML | |
GNU General Public License v3.0 or later | MIT License |
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.
data.validator
- RStats: Data Validation with Reports
-
Thoughts on or experiences with validating data with data.validator or validate
I found the data.validator and validate packages and they seem like a good paths forwards for issues like this.
caRtola
What are some alternatives?
lme4cens - Simple Mixed Effect Models and Censoring
NBA-attendance-prediction - Attendance prediction tool for NBA games using machine learning. Full pipeline implemented in Python from data ingestion to prediction. Attained mean absolute error of around 800 people (about 5% capacity) on test set.
RInno - How to install local shiny apps
vembedr - Functions to Embed Video in HTML
tech-diff - Compare different technologies. No BS and all sources linked.
surveydown - An attempt to build a markdown-based survey platform using Quarto & Shiny
datasciencecoursera - Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
FielDHub - FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially replicated (p-rep) designs applied to agriculture, plant breeding, forestry, animal and biological sciences.
sololearn - Compilation of all SoloLearn courses with their respective projects and practices and all 72 code challenges for all 7 supported languages.