Package index • keyed

pkgdown/mathjax-config.html

Key Definition

Define and manage keys

key() `key<-`(): Define a key for a data frame
unkey(): Remove key from a data frame
has_key(): Check if data frame has a key
get_key_cols(): Get key column names
key_is_valid(): Check if the key is still valid
bind_keyed(): Bind rows of keyed data frames

Assumption Checks

Validate data assumptions

assume_unique(): Assert that columns are unique
assume_no_na(): Assert that columns have no missing values
assume_complete(): Assert that data is complete (no missing values anywhere)
assume_coverage(): Assert minimum coverage of values
assume_nrow(): Assert row count within expected range

Join Diagnostics

Analyze joins before executing

diagnose_join(): Diagnose a join before executing

Row Identity

Stable UUIDs for lineage tracking

add_id(): Add identity column
has_id(): Check if data frame has IDs
get_id(): Get ID column
remove_id(): Remove ID column
extend_id(): Extend IDs to new rows
make_id(): Create ID from columns
bind_id(): Bind data frames with ID handling
check_id(): Check ID integrity
check_id_disjoint(): Check IDs are disjoint across datasets
compare_ids(): Compare IDs between data frames

Drift Detection

Track changes over time

commit_keyed(): Commit a keyed data frame as reference
check_drift(): Check for drift from committed snapshot
clear_snapshot(): Clear snapshot for a data frame
list_snapshots(): List all snapshots in cache
clear_all_snapshots(): Clear all snapshots from cache

Diagnostics

Inspect and compare data

key_status(): Get key status summary
compare_structure(): Compare structure of two data frames
compare_keys(): Compare key values between two data frames
find_duplicates(): Find duplicate keys
summary(<keyed_df>): Summary method for keyed data frames