Package index • datagoodr

All functions

abbrev_num(): Abbreviate numbers for compact, uniform axis/graphic labels
align_dec(): Pad a column of formatted numbers so their decimal points align
apply_name_aliases(): Rename raw columns to their DGF variable names
apply_raw_convert_fx(): Apply DGF type-conversion functions to raw columns
as_id(): Coerce a column to an identifier (character, trimmed)
boolebar(): Draw a boolean variable as one divided bar
booleplot(): Draw a compact horizontal bar plot with consistent bar geometry
check_dgf_rules(): Check that a DGF's rules still fit the data
check_length(): Check and standardize design element length
create_all_sections(): Create sections for all variables in a DGF
create_dd(): Create a data dictionary project from a DGF
create_dgf(): create DGF file
create_dgf_skeleton(): Create an empty v2 DGF skeleton
create_div(): Create all non-level-1 div section in markdown
create_div1(): Create a level-1 div section in markdown
create_rg(): Create a research guide project from a DGF
create_section(): Create a section for a variable
datagoodr(): Generate DGF and RG
datagoodr_css(): Return the datagoodr report stylesheet
dgf_from_stable(): Rebuild a DGF from a stable CSV read
dg_baseball: Baseball players: a messy test dataset
dg_baseball_dictionary: Data dictionary for the baseball test dataset
dg_demo: Demo dataset for the datagoodr vignettes
dg_stats() dg_properties() dg_quantiles() dg_preview() dg_levels() dg_graphic() dg_field(): Render one element of a variable's profile
dg_render_type(): Pick the Research Guide template for each variable
dg_section(): Render one variable's full profile section
dollarize(): Format Numeric Values as Dollar Amounts
draft_detector_prompt(): Draft a copy-paste prompt asking an LLM to write a new type detector
draft_factor_labels_prompt(): Draft a copy-paste prompt asking an LLM to label factor levels
evaluate_detector(): Score a candidate detector against generated test cases
first_n(): Extract and Format the First N Unique Values from a Vector
get_class_df(): Summarise the class and an example value for each column
get_design(): Compile the section design for each variable type
get_dupes(): Identify and Print Duplicate Variables in a Data Frame
get_graphics(): Generate Graphics Based on Variable Type
get_json_error(): Return the parse error for an invalid JSON string
get_levels(): Return a factor's levels as a single delimited string
get_properties(): Generate Table of Properties
get_stats(): Generate Statistics Based on Variable Type
ingest_raw(): Ingest a raw dataset using DGF rules (Step 2, work in progress)
inspect_dgf(): Validate a DGF before rendering (Step 2)
is_factor(): Guess whether a vector should be treated as a factor
is_factor_df(): Guess factor columns across a data frame
jsonify_f(): Convert a factor's levels to a formatted JSON string
load_dgf(): Load DGF from DGF Excel Sheet
log_message(): Write a message to a log file (and optionally the console)
parse_design(): Parse design strings into a data frame
parse_functions(): Collect and check the conversion functions named in a DGF
parse_nm(): Split a delimited alias string into unique names
paste_boolebar(): Print a boolean variable's divided bar into the RG
paste_booleplot(): Print the bar plot of a logical variable into the RG
paste_distribution_shape(): Print the DISTRIBUTION SHAPE table (skew / kurtosis) into the RG
paste_histogram(): Print the histogram of a numeric variable into the RG
paste_label(): Print just a section label (no content) into the RG
paste_levels(): Print the level dictionary of a factor/logical variable into the RG
paste_levels_freq(): Print the combined FACTOR LEVELS table into the RG
paste_levels_horizontal(): Print the logical CATEGORY LABELS transposed across a full-width row
paste_preview_chr(): Print Preview of a Character Variable into RG
paste_preview_num(): Print Preview of a Numeric Variable into RG
paste_properties(): Print Properties of a Variable into RG
paste_properties_horizontal(): Print the PROPERTIES table transposed across one row
paste_quantiles(): Print the quantiles of a numeric variable into the RG
paste_stats_chr(): Print Statistic of a Character Variable into RG
paste_stats_chr_common(): Print the most common strings of a character variable into the RG
paste_stats_combined(): Print the combined STATS table (summary + quantiles) into the RG
paste_stats_fact(): Print Statistic of a Factor Variable into RG
paste_stats_horizontal(): Print the numeric STATS transposed across a full-width row
paste_stats_log(): Print Statistic of a Logical Variable into RG
paste_stats_num(): Print Statistic of a Numeric Variable into RG
paste_treemap(): Print Graphics of a Factor Variable into RG
preflight_dgf(): Check a dataset for degenerate columns before building a DGF
rail_contents(): Print the research guide's top bar and contents list
rail_groups(): Split a DGF into the research guide's data-type groups
rail_sections(): Print one data-type group of the research guide
read_date() read_datetime() read_yyyymmdd() read_mmddyyyy() read_ddmmyyyy() read_mdyyyy() read_dMyyyy() read_Mdyyyy() read_yyyymmddHHiiss() read_mmddyyyyhhiiA(): Read dates/datetimes written in a compact format
read_ein(): Read an EIN written in any common form
read_mm(): Read a month number written at any width
read_render_record(): Recover the render record from a rendered report
read_stable_csv(): Read a stable CSV, recovering data and embedded provenance
read_yyyy(): Read a year, plain or fiscal-year labelled
read_yyyymm(): Read a compact YYYYMM value
recast_factors(): Convert guessed factor columns to factors
rename_all(): Rename data frame columns using an alias mapping
render_record(): Record what produced this report
replace_name(): Replace variable names matching an alias
retype_dgf(): Correct a variable's type in a DGF and re-profile it
save_to_excel(): Saves DGF to excel
show_invalid(): Print the invalid JSON cells in a vector
stabilize_data(): Standardize a raw dataset with a DGF's rules
update_dgf(): Refresh a DGF against updated data (Step 4)
update_rg(): Re-render an existing report against a different DGF or dataset
use_datagoodr_template(): Copy a datagoodr report template into a project
validate_json(): Check whether each element of a vector is valid JSON
v_to_wordcloud(): Print Graphics of a character Variable into RG
wrap_preview(): Wrap preview values into a text block
write_stable_csv(): Write a data frame to a stable CSV with embedded provenance