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explore 1.3.0

CRAN release: 2024-04-15

New features

Breaking changes

Bug fixes / internal

  • fix undefined / not meaningful values in abtest() shiny-app
  • rename vignettes explore_*.Rmd to explore-*.Rmd

explore 1.2.0

CRAN release: 2024-02-28

Breaking changes

Bug fixes / internal

explore 1.1.1

CRAN release: 2024-02-10

explore 1.1.0

CRAN release: 2023-10-11

Breaking changes

New features

Bug fixes / internal

  • drop use of fct_explicit_na() (forcats >= 1.0.0) and use linewidth for ggplot2 (>= 3.4.0) (deprecated) (#15, @olivroy)
  • explore no longer depends on assertthat, tidyr, and broom. (#16, #21, @olivroy).
  • Error messages are now more informative (#18, @olivroy)
  • explore now uses testthat 3rd edition and GitHub actions (#16, @olivroy)
  • explore has been re-licensed as MIT (#22)

explore 1.0.2 (2023-01-14)

CRAN release: 2023-01-14

  • add_var_random_01() creates variable of type integer
  • add target_name & factorise_target parameter to more create_data_*()
  • add target1_prob parameter to more create_data_*()
  • add checks to create_data_*()
  • format variable random_moon
  • add abtest()
  • remove native pipe in explore_tbl()
  • fix error in explore() median if NA values
  • add tests for explore() (no error if data contains NA)

explore 1.0.1 (2022-12-20)

CRAN release: 2022-12-20

explore 1.0.0 (2022-11-11)

CRAN release: 2022-11-11

explore 0.9.0 (2022-08-31)

CRAN release: 2022-08-31

  • rename create_x_data() to create_data_x()
  • rename add_x_var() to add_var_x()
  • extend create_data_*() functions
  • extend add_var_*() functions
  • explain_tree(): set default minsplit = 20
  • explain_tree(): set prior probabilities
  • explore() and report(): targetpct as alternative to split parameter
  • balance_target(): add parameter seed
  • fix variable type for create_data_x()
  • using md in roxygen

explore 0.8.0 (2022-01-30)

CRAN release: 2022-01-30

  • all dwh_*() functions are no longer included in {explore} Alternative: source https://github.com/rolkra/dwh
  • add create_fake_data()
  • add create_random_data()
  • add add_random_var()
  • add get_var_buckets()
  • total_fig_height(): parameters var_name_target, var_name_n
  • code styling
  • report templates: add var buckets (to plot large number of variables)

explore 0.7.1 (2021-06-04)

CRAN release: 2021-06-04

  • change theme_light() into individual theme() so that set_theme works.
  • add rmarkdown to Suggests in DESCRIPTION
  • fix URL in DESCRIPTION
  • drop LazyData in DESCRIPTION
  • format DESCRIPTION

explore 0.7.0 (2021-01-21)

CRAN release: 2021-01-21

explore 0.6.2 (2020-10-14)

CRAN release: 2020-10-14

  • Bugfix explore_bar(): NA in plot
  • explore_count(): convert target into factor
  • explore_count(): add default title (cat name)
  • explore_count(): add parameter numeric, max_cat, max_target_cat
  • explain_tree(): convert character variables into factors (count data)
  • explain_tree(): parameter out (“plot” | “model”)
  • explain_logreg(): parameter out (“tibble” | “model”)
  • vignette("explore_titanic"): change to tibble
  • vignette("explore_mtcars"): add explanations
  • change theme_minimal to theme_light
  • dwh_fastload(): add parameters overwrite and append
  • update README.md

explore 0.6.1 (2020-09-04)

CRAN release: 2020-09-04

explore 0.5.5 (2020-04-06)

CRAN release: 2020-04-06

Maintenance update:

  • fix breaking changes tibble 3.0.0

explore 0.5.4 (2020-02-09)

CRAN release: 2020-02-09

Maintenance update:

explore 0.5.3 (2020-01-17)

CRAN release: 2020-01-17

explore 0.5.2 (2019-11-22)

CRAN release: 2019-11-22

explore 0.5.1 (2019-10-08)

CRAN release: 2019-10-08

Prepare for new dplyr 0.8.4 (#2, @romainfrancois)

Bug Fixes

explore 0.5.0 (2019-09-19)

CRAN release: 2019-09-19

Interactive data exploration now accept categorical and numerical targets (next to a binary target).

explore 0.4.4 (2019-08-27)

CRAN release: 2019-08-27

Many functions now accept categorical and numerical targets (next to a binary target). If you want to force which geom is used for visualisation, you can use explore_bar() and explore_density(). New function explore_tbl() to visualise a dataframe/table (type of variables, number of NA, …)

explore 0.4.3 (2019-06-17)

CRAN release: 2019-06-17