Showing 8 of total 8 results (show query)
rstudio
pointblank:Data Validation and Organization of Metadata for Local and Remote Tables
Validate data in data frames, 'tibble' objects, 'Spark' 'DataFrames', and database tables. Validation pipelines can be made using easily-readable, consecutive validation steps. Upon execution of the validation plan, several reporting options are available. User-defined thresholds for failure rates allow for the determination of appropriate reporting actions. Many other workflows are available including an information management workflow, where the aim is to record, collect, and generate useful information on data tables.
Maintained by Richard Iannone. Last updated 7 days ago.
data-assertionsdata-checkerdata-dictionariesdata-framesdata-inferencedata-managementdata-profilerdata-qualitydata-validationdata-verificationdatabase-tableseasy-to-understandreporting-toolschema-validationtesting-toolsyaml-configuration
942 stars 10.73 score 284 scripts
luckinet
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.
Maintained by Steffen Ehrmann. Last updated 2 months ago.
data-managementdata-reshapingschemas
6 stars 7.13 score 62 scripts 1 dependents
ineelhere
clintrialx:Connect and Work with Clinical Trials Data Sources
Are you spending too much time fetching and managing clinical trial data? Struggling with complex queries and bulk data extraction? What if you could simplify this process with just a few lines of code? Introducing 'clintrialx' - Fetch clinical trial data from sources like 'ClinicalTrials.gov' <https://clinicaltrials.gov/> and the 'Clinical Trials Transformation Initiative - Access to Aggregate Content of ClinicalTrials.gov' database <https://aact.ctti-clinicaltrials.org/>, supporting pagination and bulk downloads. Also, you can generate HTML reports based on the data obtained from the sources!
Maintained by Indraneel Chakraborty. Last updated 22 days ago.
aactbioinformaticsclinical-dataclinical-trialsclinicaltrialsgovcttidatadata-managementmedical-informaticsr-languagetrials
15 stars 5.76 score 11 scripts
chris-prener
qualmap:Opinionated Approach for Digitizing Semi-Structured Qualitative GIS Data
Provides a set of functions for taking qualitative GIS data, hand drawn on a map, and converting it to a simple features object. These tools are focused on data that are drawn on a map that contains some type of polygon features. For each area identified on the map, the id numbers of these polygons can be entered as vectors and transformed using qualmap.
Maintained by Christopher Prener. Last updated 1 years ago.
data-managementdata-wranglinggismappingqualitativequalitative-analysisqualitative-gis
20 stars 5.00 score 1 scripts
myominnoo
mStats:Medical Statistics & Epidemiological Analysis
A set of tidyverse-friendly functions for data management, calculation of epidemiological measures, statistical analysis, and table creation.
Maintained by Myo Minn Oo. Last updated 1 years ago.
data-managementepidemiological-calculationsmedical-statistics
4.98 score 16 scripts 1 dependents
devpsylab
petersenlab:A Collection of R Functions by the Petersen Lab
A collection of R functions that are widely used by the Petersen Lab. Included are functions for various purposes, including evaluating the accuracy of judgments and predictions, performing scoring of assessments, generating correlation matrices, conversion of data between various types, data management, psychometric evaluation, extensions related to latent variable modeling, various plotting capabilities, and other miscellaneous useful functions. By making the package available, we hope to make our methods reproducible and replicable by others and to help others perform their data processing and analysis methods more easily and efficiently. The codebase is provided in Petersen (2025) <doi:10.5281/zenodo.7602890> and on 'CRAN': <doi: 10.32614/CRAN.package.petersenlab>. The package is described in "Principles of Psychological Assessment: With Applied Examples in R" (Petersen, 2024, 2025) <doi:10.1201/9781003357421>, <doi:10.25820/work.007199>, <doi:10.5281/zenodo.6466589>.
Maintained by Isaac T. Petersen. Last updated 1 days ago.
data-analysisdata-analysis-in-rdata-managementpsychometrics
1 stars 4.11 score 1 scripts
valvaletl
SMMT:The Swiss Municipal Data Merger Tool Maps Municipalities Over Time
In Switzerland, the landscape of municipalities is changing rapidly mainly due to mergers. The Swiss Municipal Data Merger Tool automatically detects these mutations and maps municipalities over time, i.e. municipalities of an old state to municipalities of a new state. This functionality is helpful when working with datasets that are based on different spatial references. The package's idea and use case is discussed in the following article: <doi:10.1111/spsr.12487>.
Maintained by Valentin Knechtl. Last updated 11 months ago.
data-managementmunicipalitiesstatisticsswitzerland
4 stars 3.30 score 8 scripts
kwb-r
kwb.pkgstatus:R package for checking KWB package status
R package for checking KWB package status (e.g. generating https://kwb-r.github.io/status).
Maintained by Michael Rustler. Last updated 1 years ago.
data-managementproject-fakinpublication
2.70 score 1 scripts