| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/tidyr/DESCRIPTION |
| FileSize | 1757 |
| MD5 | 9CD57929F00D2BCB35F7436C66051A35 |
| SHA-1 | 2CCE23AD611E35EB7A1D9121A09B02CE4FCABF8E |
| SHA-256 | F3C7E8A5F043111B017705CB908BFD3CD137FB56FE49AF41CB148F7B6033623B |
| SSDEEP | 48:ozbFjE72LSwnRV3DCGX/S2BXN0jUKKnUDvjn9GP:ozhjEaewRFRR2jSUDvgP |
| TLSH | T10A319853BD4011772786828568614315EA69C30F6FE57CBC7E0C57681F0C45D9AF987A |
| 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 | E5F9BF9C13A5412F5A133F3CC44B7DAB |
| 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 | 1.50 |
| PackageVersion | 1.1.0 |
| SHA-1 | 0292F2647E76B75C8F0DD1FFA800E1F7304DFB6E |
| SHA-256 | 774F6EF52513129E5873457A9F5B0BF43C0C61848858A4A6C5BC15243AC4E4FF |