tabshiftr - Reshape Disorganised Messy Data
Helps the user to build and register schema descriptions of disorganised (messy) tables. Disorganised tables are tables that are not in a topologically coherent form, where packages such as 'tidyr' could be used for reshaping. The schema description documents the arrangement of input tables and is used to reshape them into a standardised (tidy) output format.
Last updated 1 months ago
data-managementdata-reshapingschemas
7.07 score 6 stars 1 packages 62 scripts 199 downloadsontologics - Code-Logics to Handle Ontologies
Provides tools to build and work with an ontology of linked (open) data in a tidy workflow. It is inspired by the Food and Agrilculture Organizations (FAO) caliper platform <https://www.fao.org/statistics/caliper/web/> and makes use of the Simple Knowledge Organisation System (SKOS).
Last updated 1 months ago
interoperabilityontology
6.63 score 3 stars 1 packages 17 scripts 260 downloadsarealDB - Harmonise and Integrate Heterogeneous Areal Data
Many relevant applications in the environmental and socioeconomic sciences use areal data, such as biodiversity checklists, agricultural statistics, or socioeconomic surveys. For applications that surpass the spatial, temporal or thematic scope of any single data source, data must be integrated from several heterogeneous sources. Inconsistent concepts, definitions, or messy data tables make this a tedious and error-prone process. 'arealDB' tackles those problems and helps the user to integrate a harmonised databases of areal data. Read the paper at Ehrmann, Seppelt & Meyer (2020) <doi:10.1016/j.envsoft.2020.104799>.
Last updated 1 months ago
areal-datadatabase
5.64 score 2 stars 19 scripts 280 downloads