NiceNumbERRR

This R package provides basic functions that make numbers display nicely. In most real-world problems, the datasets are raw and we need to deal with number formats to make them readable for humans or for computers. Usually, a few or more lines of coding are needed while dealing with number-display problems so we are thinking of compressing the time and programming work on this issue. This package solves this kind of problems in a way of transfer forward and backward from long digit numbers to human-readable ones. There are functions doing single number transactions, column transactions from a data frame, and displaying colors of input numbers.
## Installation

You can install the released version of NiceNumbERRR from CRAN with:

install.packages("NiceNumbERRR")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("UBC-MDS/NiceNumbERRR")

Features

The package contains the following five functions:

  • to_human

This function converts numeric value to human-readable string representations. Users need to use a specific number as input and choose decimal precision and prefixes of filesize or numbers as optionals. The function will return a human-readable string.

  • to_numeric

This function converts a human-readable value to a Python readable numeric value. Users need to use a specific human-readable string of numbers as input and choose the prefixes of filesize or numbers as optionals. The function will return a float.

  • to_df

This function changes the formatting of text in one or more columns of data in a dataframe. The inputs should include a data frame, column name(s), and two optionals: transform type(eg. human) and type of prefixes. The function will return a dataframe with the values from the input columns transferred to the transform type(human-readable by default).

  • to_color

This function separate numeric values to parts starting from the right and each part contains three digits. Then it gives different colors to each part and the default colors are red, green, yellow, and blue. Users need to use a specific number as input and choose a list of colors they want to assign on the number as an optional. The function will return a string that can be used in print() function to visual numbers with colors.

Example

This is a basic example which shows how to generate summary statistics and conduct moving average modelling:

install.packages("NiceNumbERRR")
library(NiceNumbERRR)
to_human(78950000, prec = 0, family = "numeric") 
to_color(1234L, c('red', 'yellow'))

For further examples please visit the article section of the NiceNumbERRR package.

R Ecosystem

There are many R packages that have similar functionalities with this package in the Python ecosystem. For example:

  • humanReadable converts integer byte sizes to a human readable units such as kB, MB, GB, etc.

  • humanize provides utilities to convert values (times, files sizes, and numbers) into human readable forms.

  • prettyunits works just like humanize, it formats times and file-sizes quantities in human readable form.

We aim to optimize those existing packages so that the users can use one package instead of using several packages at the same time.