explore 0.5.5 (2020-04-06)

Maintenance update:

• fix breaking changes tibble 3.0.0

explore 0.5.4 (2020-02-10)

Maintenance update:

• fix param … in description (PR#16223, see https://bugs.r-project.org/bugzilla/show_bug.cgi?id=16223)

explore 0.5.3 (2020-01-17)

• explore_bar(): add parameter numeric
• describe_all() returns a tibble
• describe_all(): column ‘variable’ is character (not factor)
• report() split = TRUE as default
• add rescale01()
• add parameter rescale01 to clean_var()
• add function count_pct()
• add out=‘tibble’ to describe_cat()
• add function explore_targetpct()

explore 0.5.2 (2019-11-21)

• split scource-code file into multiple files
• format_num_auto without brackets
• treat Date variables as cat
• report() fix automatic file extentison .html
• add simplify_text()
• add parameter simplify_text to clean_var()
• fix link in README.md

explore 0.5.1 (2019-10-07)

Prepare for new dplyr 0.8.4 Bug Fixes

• prepare explore_tbl() for dplyr 0.8.4
• describe_num() with default digits=6
• describe_cat() bugfix variable with all NA
• describe_all() bugfix variable with all NA
• explain_tree() bugfix dataframe with 0 rows
• improve speed describe() text output (RMarkdown)
• explore() now checks if data is a data.frame

explore 0.5.0 (2019-09-19)

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

• explain_tree(): target can be bin/num/cat
• explain_tree(): add parameter max_target_cat
• explore_shiny(): target can be bin/num/cat
• add function format_num_auto()
• add function total_fig_height()
• get_nrow() deprecated, use total_fig_height() instead
• add parameter title to explore_cor()
• add support for POSIXct in describe()
• improved handling of dataframes with no observations
• add parameter title to explore_density()
• add parameter nvar to total_fig_height()
• update README.md
• update Vignettes
• add NEWS.md
• add hex sticker

explore 0.4.4 (2019-08-30)

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, …)

• add function explore_bar()
• explore_density() now using correct tidy eval, target cat > 2 possible
• target_explore_cat() now using correct tidy eval
• target_explore_num() now using correct tidy eval
• add plot_var_info() - plots a info-text to a variable as ggplot obj.
• plot_var_info() used in explore/explore_all if
• plot_var_info() used if explore empty data
• add parameter max_cat in explore_bar(), explore_density() and explain_tree()
• add explore_tbl()
• drop explore_cat() & explore_num()
• rename template_report_target_den.html > _split.html
• intelligent placing of labels in plots
• add info window “generating report …” in explore_shiny
• format_num() -> format_num_kMB(), format_num_space()
• format_target -> if numeric split 0/1 by mean
• report() -> default .html file extension
• consistency showing NA info in explore-title
• parameter split: default = FALSE
• allow numeric (num) target in explore_all & report
• describe_tbl() -> fix target if not bin
• desribe(): change out=“vector” to out=“list”

explore 0.4.3 (2019-06-20)

• fix parameter in explore: auto_scale, na
• fix number of NA in explore (move code before auto_scale)
• explore_density() with target: drop plot title “propensity by”
• explore_shiny(): use output_dir / tempdir()
• change naming “attribute” to “variable” (consistent)