Key | Value |
---|---|
FileName | ./usr/lib64/R/library/tidyr/R/tidyr.rdb |
FileSize | 144148 |
MD5 | D69F7D7F75086F1AA9966CAD9C9F55BF |
SHA-1 | 2F66B09F0C79784A7526D32D2421BBD29B1D9258 |
SHA-256 | 1BD694C1A0F92A04DDD49C144B76705ECAF977E28499CC4959F049596AEB691E |
SSDEEP | 3072:j4OFTxQHhd89XeQV/XFOPCjYMCNxz9GZjKfkKOrkACVtPEL6pa/:jxFTY+X1LdjixkrtrkTsLMM |
TLSH | T15DE3127B8DA2E643BDA87E8061314B35CC7D83A6C815C37DA858F9A3D60A52E04DD7D4 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
MD5 | 572790B12410B744E49DAD4C01D58F1D |
PackageArch | x86_64 |
PackageDescription | Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit). |
PackageName | R-tidyr |
PackageRelease | 1.48 |
PackageVersion | 1.1.0 |
SHA-1 | EB8DB0B3A27784EC006099D2216F7B4C59B4D6C2 |
SHA-256 | B55CA0EC6B857B09EA01B688514A737653F7FDE18EAACF0318E7B297F0E18657 |