In this major release,
relper
enhances its data analysis capabilities with a powerful suite of functions for computing various metrics and calculations.These additions transform the package into a comprehensive "Data Insight Toolbox," empowering users to gain deeper insights and perform advanced analyses on their datasets. Additionally, some functions have been renamed for better clarity and consistency.
Additions
Additions
Additions
Additions
Improvements
Removals
Additions
Improvements
Additions
plt_no_text
and plt_no_grid
Improvements
palette_
prefix changed to pal_
Additions
calc_combination
and plt_pinpoint
trim
and weight
to the function calc_mean
Improvements
calc_geometric_mean
and calc_harmonic_mean
were removed and became calc_mean
Additions
is_blank
Additions
prefix
to the function dttm_vars
...
to the function plt_scale_y_mirror
to apply the function format_num
to the breaks labelsAdditions
stat_missing_values
Additions
str_extract_char
Additions
palette_two
Additions
plt_regression_line
Additions
calc_error
Additions
calc_association
,calc_correlation
, calc_kurtosis
, calc_modality
, calc_skewness
, is_weekend
, stat_normality
and summary_xy
Improvements
calc_date_aux()
to dttm_vars
and calc_date_diff()
to dttm_diff
In this major release,
relper
introduces a brand-new feature calledpalette_
, that contains palettes inspired by movies and TV shows.The
palette_
functions provides users with a rich collection of color palettes carefully curated from popular films and television series, adding a touch of cinematic charm to their data visualizations.Whether it's evoking the nostalgic hues of a beloved classic or the vibrant colors of a contemporary blockbuster,
palette_
allows users to effortlessly infuse visual storytelling into their plots.
Additions
plt_scale_y_mirror
Additions
vfx_watermark_white
Improvements
as_num
, such as removing charactersAdditions
palette_
The initial release of
relper
lays the groundwork for future development of the library.This version entails a complete refactoring of the entire package in order to comply with better development practices.
Significant enhancements include the addition of vignettes to provide comprehensive usage examples, extensive documentation for all functions to assist developers in understanding the library's capabilities, the adoption of standard naming conventions for improved consistency, and the integration of comprehensive unit tests to ensure the codebase's reliability and stability.
Additions
Dependencies: glue
, rlang
, scales
and tidyselect
Documentation: vfx_watermark
Removals
Datasets: df_month
and df_week
Dependencies: png
Functions: summary_data
Improvements
str_to_abb
argument n_char
to n_abb
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