Package: skimr 2.1.5
skimr: Compact and Flexible Summaries of Data
A simple to use summary function that can be used with pipes and displays nicely in the console. The default summary statistics may be modified by the user as can the default formatting. Support for data frames and vectors is included, and users can implement their own skim methods for specific object types as described in a vignette. Default summaries include support for inline spark graphs. Instructions for managing these on specific operating systems are given in the "Using skimr" vignette and the README.
Authors:
skimr_2.1.5.tar.gz
skimr_2.1.5.zip(r-4.5)skimr_2.1.5.zip(r-4.4)skimr_2.1.5.zip(r-4.3)
skimr_2.1.5.tgz(r-4.4-any)skimr_2.1.5.tgz(r-4.3-any)
skimr_2.1.5.tar.gz(r-4.5-noble)skimr_2.1.5.tar.gz(r-4.4-noble)
skimr_2.1.5.tgz(r-4.4-emscripten)skimr_2.1.5.tgz(r-4.3-emscripten)
skimr.pdf |skimr.html✨
skimr/json (API)
NEWS
# Install 'skimr' in R: |
install.packages('skimr', repos = c('https://ropensci.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ropensci/skimr/issues
peer-reviewedropenscisummary-statisticsunconfunconf17
Last updated 2 years agofrom:d5126aa020 (on main). Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 28 2024 |
R-4.5-win | NOTE | Oct 28 2024 |
R-4.5-linux | NOTE | Oct 28 2024 |
R-4.4-win | OK | Oct 28 2024 |
R-4.4-mac | OK | Oct 28 2024 |
R-4.3-win | OK | Oct 28 2024 |
R-4.3-mac | OK | Oct 28 2024 |
Exports:%>%assert_is_one_skim_dfassert_is_skim_dfassert_is_skim_listbase_skimmersbindcomplete_ratecontainscould_be_skim_dfdata_colsdata_rowsdf_namedt_keyends_witheverythingfix_windows_histogramsfocusget_default_skimmer_namesget_default_skimmersget_one_default_skimmerget_one_default_skimmer_namesget_sflget_skimmersgroup_nameshas_skim_type_attributehas_skimmershas_skimr_attributeshas_type_columnhas_variable_columninline_histinline_linegraphis_data_frameis_one_skim_dfis_skim_dfis_skim_listlist_lengths_maxlist_lengths_medianlist_lengths_minlist_max_lengthlist_min_lengthmatchesmax_charmin_charmodify_default_skimmersn_completen_emptyn_missingn_uniquen_whitespacenum_rangeone_ofpartitionsflskimskim_formatskim_teeskim_to_listskim_to_wideskim_withskim_without_chartsskimmers_usedsorted_countstarts_withto_longtop_countsts_endts_startyank
Dependencies:base64encclicpp11digestdplyrevaluatefansifastmapgenericsgluehighrhtmltoolsjsonliteknitrlifecyclemagrittrpillarpkgconfigpurrrR6reprrlangstringistringrtibbletidyrtidyselectutf8vctrswithrxfunyaml
Extending skimr
Rendered fromextending_skimr.Rmd
usingknitr::rmarkdown
on Oct 28 2024.Last update: 2022-04-12
Started: 2022-04-12
Skimr defaults
Rendered fromSkimr_defaults.Rmd
usingknitr::rmarkdown
on Oct 28 2024.Last update: 2019-11-07
Started: 2018-03-03
Using Fonts
Rendered fromUsing_fonts.Rmd
usingknitr::rmarkdown
on Oct 28 2024.Last update: 2019-10-18
Started: 2017-12-20
Using Skimr
Rendered fromskimr.Rmd
usingknitr::rmarkdown
on Oct 28 2024.Last update: 2022-12-22
Started: 2019-04-08
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Skim a data frame | skimr-package skimr |
Deprecated functions from skimr v1 | deprecated-v1 skim_format skim_to_list skim_to_wide |
Fix unicode histograms on Windows | fix_windows_histograms |
Only show a subset of summary statistics after skimming | focus |
View default skimmer names and functions | get_default_skimmers get_default_skimmer_names get_one_default_skimmer get_one_default_skimmer_names get_sfl |
Retrieve the summary functions for a specific data type | get_skimmers get_skimmers.AsIs get_skimmers.character get_skimmers.complex get_skimmers.Date get_skimmers.default get_skimmers.difftime get_skimmers.factor get_skimmers.haven_labelled get_skimmers.list get_skimmers.logical get_skimmers.numeric get_skimmers.POSIXct get_skimmers.Timespan get_skimmers.ts modify_default_skimmers |
Provide a default printing method for knitr. | knit_print knit_print.one_skim_df knit_print.skim_df knit_print.skim_list knit_print.summary_skim_df |
Mutate a skim_df | mutate.skim_df |
Separate a big 'skim_df' into smaller data frames, by type. | bind partition yank |
Print 'skim' objects | print print.skim_df print.skim_list print.summary_skim_df |
Skimr printing within Jupyter notebooks | repr repr_text.one_skim_df repr_text.skim_df repr_text.skim_list |
Create a skimr function list | sfl |
Skim a data frame, getting useful summary statistics | skim skim_tee skim_without_charts |
Set or add the summary functions for a particular type of data | skim_with |
Functions for accessing skim_df attributes | base_skimmers data_cols data_rows df_name dt_key group_names skim-attr skimmers_used |
Test if an object is compatible with 'skimr' | assert_is_one_skim_df assert_is_skim_df assert_is_skim_list could_be_skim_df has_skimmers has_skimr_attributes has_skim_type_attribute has_type_column has_variable_column is_data_frame is_one_skim_df is_skim_df is_skim_list skim-obj |
Summary statistic functions | complete_rate inline_hist inline_linegraph list_lengths_max list_lengths_median list_lengths_min list_max_length list_min_length max_char min_char n_complete n_empty n_missing n_unique n_whitespace sorted_count stats top_counts ts_end ts_start |
Summary function for skim_df | summary.skim_df |
Create "long" skim output | to_long to_long.default to_long.skim_df |