parquetize
janitor
parquetize | janitor | |
---|---|---|
4 | 2 | |
56 | 1,341 | |
- | - | |
6.8 | 6.2 | |
2 months ago | 2 months ago | |
R | R | |
- | GNU General Public License v3.0 or later |
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parquetize
- You want to convert your R data to parquet files ? Use parquetize package !
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- 🚨🚨New release for {parquetize} R package 🚨🚨 => convert easily your data to Parquet format !
- You're an #rstats user and you need to convert your files to parquet format? Check out the new parquetize package now available on CRAN !
janitor
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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?
stata-alluvial - A Stata package for alluvial plots
tidyverse - Easily install and load packages from the tidyverse
readr - Read flat files (csv, tsv, fwf) into R
IntRo - Introduction to R for health data
ftools - Fast Stata commands for large datasets
Practical-Applications-in-R-for-Psychologists - Lesson files for Practical Applications in R for Psychologists.
targets - Function-oriented Make-like declarative workflows for R
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.
sf - Simple Features for R
datapasta - On top of spaghetti, all covered in cheese....
drake - An R-focused pipeline toolkit for reproducibility and high-performance computing
desctable - An R package to produce descriptive and comparative tables