Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	DD5B4D26920FF4F7CF15E517F575896E
PackageArch	x86_64
PackageDescription	A collection of datasets for the upcoming book "Graficas versatiles con ggplot: Analisis visuales de datos", by Raymond L. Tremblay and Julian Hernandez-Serano.
PackageName	R-ggversa
PackageRelease	lp152.2.6
PackageVersion	0.0.1
SHA-1	48CF00DF06899BD7E8FD6CD1B995931185E44CB1
SHA-256	0AE8A48E4BA95A7C9E1785023EA86E64624CF581C9BDC2283CE95C3A0D228BCB

Key	Value
MD5	6C2B88B4C791E5C7A822D1AA0BF58579
PackageArch	x86_64
PackageDescription	A collection of datasets for the upcoming book "Graficas versatiles con ggplot: Analisis visuales de datos", by Raymond L. Tremblay and Julian Hernandez-Serano.
PackageName	R-ggversa
PackageRelease	lp153.2.3
PackageVersion	0.0.1
SHA-1	DDB2D6D2D9B952FBBE9A3FC048C387A3FA7961C9
SHA-256	497B47F57591FAB095E95055D2DAE1D6EC79572DD2A762DCBB7CF98BA956B3AB

Key	Value
MD5	587572F5970E31C9F629B57F5066678B
PackageArch	x86_64
PackageDescription	This data set provides information on the fate of passengers on the fatal maiden voyage of the ocean liner "Titanic", summarized according to economic status (class), sex, age and survival. Whereas the base R Titanic data found by calling data("Titanic") is an array resulting from cross-tabulating 2201 observations, these data sets are the individual non-aggregated observations and formatted in a machine learning context with a training sample, a testing sample, and two additional data sets that can be used for deeper machine learning analysis. These data sets are also the data sets downloaded from the Kaggle competition and thus lowers the barrier to entry for users new to R or machine learing.
PackageMaintainer	https://www.suse.com/
PackageName	R-titanic
PackageRelease	lp154.2.1
PackageVersion	0.1.0
SHA-1	A48B29D218E67185042BE94DE8E125E3466E1CB1
SHA-256	359C26A4BD3AF185CDA338759609FD57D28D5346466EF4A89F467571D32CCC48

Key	Value
MD5	BCA47C6964552E299D8B982C056F8590
PackageArch	x86_64
PackageDescription	This dataset contains population estimates of all European cities with at least 10,000 inhabitants during the period 1500-1800. These data are adapted from Jan De Vries, "European Urbanization, 1500-1800" (1984).
PackageName	R-europop
PackageRelease	lp152.2.6
PackageVersion	0.3.1
SHA-1	13D5764DFFD8747D0BD82BB561698EF16EBD5CAB
SHA-256	6DD8ED37A864ADE26154A0908C9A12AC1C91D40E2A1B698E90569576A49967F6

Key	Value
MD5	7FF8D022160BEDD3404F69B8B0BF4F8D
PackageArch	x86_64
PackageDescription	A collection of datasets for the upcoming book "Graficas versatiles con ggplot: Analisis visuales de datos", by Raymond L. Tremblay and Julian Hernandez-Serano.
PackageMaintainer	https://www.suse.com/
PackageName	R-ggversa
PackageRelease	lp154.2.1
PackageVersion	0.0.1
SHA-1	D4A293207E773991E4FB2A6A0E25CAC7A137890C
SHA-256	1B2700CA1BC27E0BBC781EF9F696C023934A438C97A0F6E4AD6F1ED48237B8DA

Key	Value
MD5	3135D1AF9FCF9F20C05D2FF5E2FE893B
PackageArch	x86_64
PackageDescription	Binford's hunter-gatherer data includes more than 200 variables coding aspects of hunter-gatherer subsistence, mobility, and social organization for 339 ethnographically documented groups of hunter-gatherers.
PackageMaintainer	https://www.suse.com/
PackageName	R-binford
PackageRelease	lp154.2.1
PackageVersion	0.1.0
SHA-1	CE463A10355F2E1F1C68FE4272A5FFA8A0126CB6
SHA-256	F120B703A1A71422779C5C2F0EBCF762FF7EB95299F64EA984E427C7FFCD6AF4

Key	Value
MD5	22F032740972861F6630EAFCFBD281BC
PackageArch	x86_64
PackageDescription	Provides a weekly summary of Hass Avocado sales for the contiguous US from January 2017 to November 2020. See the package website for more information, documentation, and examples. Data source: Haas Avocado Board <https://hassavocadoboard.com/category-data/>.
PackageMaintainer	https://www.suse.com/
PackageName	R-avocado
PackageRelease	lp154.2.1
PackageVersion	0.1.0
SHA-1	5683BBC4228C230D68D29C5FF61AC4AD8776B0D0
SHA-256	4459842FF891F8D307611202AF6ECFC8B66573E68EC2E1E9F4395C39524F8D7E