# skimr 2.1.5 * Updated to work with newer version of purrr # skimr 2.1.4 ### NEW FEATURES * skim() used within a function now prints the data frame name. * we have improved the interaction between focus() and the print methods. * columns selected in focus() are shown in the correct order * some edge cases relating to empty skim types have been improved * you can control the width rule line for the printed subtables with an option: `skimr_table_header_width`. The default is to use the console width, i.e. the value of the `width` option. * we have improved performance when handling large data with many columns. ### MINOR IMPROVEMENTS * Replace the Suppporting Additional Objects vignette with Extending skimr. Remove sf from Suggests. * Default support for `haven_labelled` columns is now supported. These columns are summarized using skimmers for the underlying data, typically either numeric or character. ### BUG FIXES * A `skim_list` (most commonly generated by the `partition()` function) also inherits from a `list` # skimr 2.1.3 ### MINOR IMPROVEMENTS * Add support for data tables when dtplyr is used. * Improve tests. # skimr 2.1.2 ### MINOR IMPROVEMENTS * Add support for lubridate Timespan objects. * Improvements to Supporting Additional Objects vignette. ### BUG FIXES * Update package to work with new version of `knitr`. # skimr 2.1.1 (2020-04-15) ### MINOR IMPROVEMENTS * Prepare for release of dplyr 1.0 and related packages. * 0-length sfls are now permitted. # skimr 2.1.0 (2020-01-10) ### NEW FEATURES We've made `to_long()` generic, supporting a more intuitive interface. * Called on a `skim_df`, it reshapes the output into the V1 long style. * Called on other tibble-like objects, it first skims then produces the long output. You can pass a custom skim function, like `skim_tee()` Thanks @sethlatimer for suggesting this feature. ### BUG FIXES * Update package to work with new version of `tibble`. * Adds more flexibility in the rule width for `skimr::summarize()`. * More README badges and documentation crosslinks # skimr 2.0.1 (2019-11-23) ### BUG FIXES Address failed build in CRAN due to lack of UTF-8 support in some platforms. # skimr 2.0.0 (2019-11-12) ### Welcome to skimr V2 V2 is a complete rewrite of `skimr`, incorporating all of the great feedback the developers have received over the last year. A big thank you goes to @GShotwell, @akraemer007, @puterleat, @tonyfischetti, @Nowosad, @rgayler, @jrosen48, @randomgambit, @elben10, @koliii, @AndreaPi, @rubenarslan, @GegznaV, @svraka, @dpprdan and to our ROpenSci reviewers @jenniferthompson and @jimhester for all of the great support and feedback over the last year. We couldn't have done this without you. For most users using `skimr` will not change in terms of visual outputs. However for users who use `skimr` outputs as part of a larger workflow the differences are substantial. ### Breaking changes #### The `skim_df` We've changed the way data is represented within `skimr` to closer match expectations. It is now wide by default. This makes piping statistics much simpler ``` skim(iris) %>% dplyr::filter(numeric.sd > 1) ``` This means that the old reshaping functions `skim_to_wide()` and `skim_to_list()` are deprecated. The latter is replaced with a reshaping function called `partition()` that breaks a `skim_df` into a list by data type. Similarly, `yank()` gets a specific data type from the `skim_df`. `to_long()` gets you data that is closest to the format in the old API. As the above example suggests, columns of summary statistics are prefixed by `skim_type`. That is, statistics from numeric columns all begin `numeric.`, those for factors all begin `factor.`, and so on. #### Rendering We've deprecated support for `pander()` and our `kable()` method. Instead, we now support `knitr` through the `knit_print()` API. This is much more seamless than before. Having a `skim_df` as the final object in a code chunk should produce nice results in the majority of RMarkdown formats. #### Customizing and extending We've deprecated the previous approach customization. We no longer use `skim_format()` and `skim_with()` no longer depends on a global state. Instead `skim_with()` is now a function factory. Customization creates a new skimming function. ``` my_skim <- skim_with(numeric = sfl(mad = mad)) ``` The fundamental tool for customization is the `sfl` object, a skimmer function list. It is used within `skim_with()` and also within our new API for adding default functions for new data types, the generic `get_skimmers()`. Most of the options set in `skim_format` are now either in function arguments or print arguments. The former can be updated using `skim_with`, the latter in a call to `print()`. In RMarkdown documents, you can change the number of displayed digits by adding the `skimr_digits` option to your code chunk. ### OTHER NEW FEATURES * Substantial improvements to `summary()`, and it is now incorporated into `print()` methods. * `focus()` is like `dplyr::select()`, but it keeps around the columns `skim_type` and `skim_variable`. * We are also evaluating the behavior of different `dplyr` verbs to make sure that they place nice with `skimr` objects. * While `skimr` has never really focused on performance, it should do a better job on big data sets with lots of different columns. * New statistic for character variables counting the number of rows that are completely made up of white space. * We now export `skim_without_charts()` as a fallback for when unicode support is not possible. * By default, `skimr` removes the tibble metadata when generating output. On some platforms, this can lead to all output getting removed. To disable that behavior, set either `strip_metadata = FALSE` when calling print or use `options(skimr_strip_metadata = FALSE)`. ### BUG FIXES * Adjust code for several tidyverse soft deprecations. * Fix issue where multibyte characters were causing an error. ### MINOR IMPROVEMENTS * Change top_counts to use useNA = "no". # skimr 1.0.6 (2019-05-27) ### BUG FIXES * Fix issue where skim_tee() was not respecting ... options. * Fix issue where all NA character vectors were not returning NA for max() and min() # skimr 1.0.5 (2019-01-05) This is likely to be the last release of skimr version 1. Version 2 has major changes to the API. Users should review and prepare for those changes now. ### BUG FIXES * Fix issue where multibyte characters were causing an error. * Fix problem in which purrr cannot find mean.default. # skimr 1.0.4 (2018-01-12) This is likely to be the last release of skimr version 1. Version 2 has major changes to the API. Users should review and prepare for those changes now. ### BUG FIXES * Fix failures in handling dplyr verbs related to upcoming release of dplyr 0.8.0. # skimr 1.0.3 (2018-06-06) ### NEW FEATURES * You can use skim_with() with a nest list of functions: `skim_with(.list = mylist)` or `skim_with(!!!mylist)` * More polished display of subtables in default printing. ### BUG FIXES * Fix issue with conflict between knitr and skimr versions of kable() that occurred intermittently. * Do not skim a class when the skimmer list is empty for that class. * Fix a mistake in a test of skim_print for top counts. # skimr 1.0.2 (2018-04-04) ### NEW FEATURES * You can create skimmers with the formula syntax from `rlang`: `skim_with(iqr = ~IQR(.x, na.rm = TRUE))`. ### MAJOR CHANGES * The median label has been changed to p50 for consistency with the previous changes to p0 and p100. ### MINOR IMPROVEMENTS * Improvements and corrections to to README and other documentation. * New vignette showing defaults for skimmers and formats. * Vector output match data frame output more closely. * Add minimum required version for testhat. * Add minimum required version for knitr. ### BUG FIXES * You can use `skim_with()` to add and remove skimmers at the same time, i.e. `skim_with(iqr = IQR, hist = NULL)` works as expected. * Histograms work when Inf or -Inf are present. * Change seq( ) parameter to length.out to avoid problems with name matching. * Summary should not display a data frame name of "." (which occurs when piping begins with the data frame). # skimr 1.0.1 (2018-01-09) ### NEW FEATURES * Add support for spark plots on Windows ### MAJOR CHANGES * `spark_line()` and `spark_bar()` are no longer exported * Default statistics for numeric changed from `min(x)` and `max(x)` to `quantile(x, probs = 0)` and `quantile(x, probs = 1)`. These changes lead to more predictable behaviors when a column is all NA values. #### MINOR IMPROVEMENTS * Add minimimum required version for stringr * Improve documentation in general, especially those related to fonts ### BUG FIXES * Fix issue where a histogram for data with all `NA`s threw an error * Suppress progress bars from `dplyr::do()` # skimr 0.92 (2017-12-19) ### MAJOR CHANGES * `skim_v()` is no longer exported. Vectors are now directly supported via `skim.default()`. * Change license to GPL 3 ### NEW FEATURES * Add support for `kable()` and `pander()` for `skim_df` objects. * Add summary method for `skim_df` objects. * Add support for tidy select to skim specific columns of a data frame. * Add support for skimming individual vectors via `skim.default()`. # skimr 0.91 (2017-10-14) ### NEW FEATURES * Handling of grouped data (generated by `dplyr::group_by()`) * Printing for all column classes * Add indicator of if a factor is ordered to skim object for factor * Introduction of flexible formatting * Easy dropping of individual functions * Vignettes for basic use and use with specialized object types * Updated README and added CONTRIBUTING.md and CONDUCT.md * New public get_skimmers function to access skim functions * Support for difftime class ### MINOR IMPROVEMENTS * Add header to print providing summary information about data. ### BUG FIXES * Change from Colformat to Pillar. # skimr 0.900 (2017-07-16) ### BUG FIXES * Fix documentation for get_fun_names() * Fix test and build errors and notes