unclusterize: Extract data clusters from data frame using the keyword
In Rindrics/lucifer: What the Package Does (One Line, Title Case)

This function extracts data clusters from single Excel sheet.

unclusterize(
  df,
  regex,
  direction,
  pos,
  offset = c(0, 0),
  ends,
  info = NULL,
  crop = NULL
)

`df`	Data frame to be processed
`regex`	Regular expression to match keywords
`direction`	Directoin of the cluster revolution
`pos`	Positon of row/column to scan using `regex`
`offset`	The offset (`c(row, pos`)) of the cluster topleft from the coordination of keyword
`ends`	List of regex to locate row- and column- ends of each cluster Form should be like `ends = list(row = "2019", col = "[Dd]ecember$")`. Regex `row =` must specify the end of 'left most' columnn of df, not that of the column with key matched by `regex`
`info`	Parameters to make key:value list such as key_offset Offset `c(row, col)` of `key` topleft from df topleft. If `NULL`, automatically set to `keyn` key_dim Dimension `c(row, col)` of `key` value_offset Offset `c(row, col)` of `value` topleft from df topleft value_dim Dimension `c(row, col)` of `value`
`crop`	Params from `crop()` in list format