COLID-Documentation | The documentation repository is part | Data Manipulation library
kandi X-RAY | COLID-Documentation Summary
kandi X-RAY | COLID-Documentation Summary
Corporate Linked Data - short: COLID - is a technical solution for corporate environments that provides a metadata repository for corporate assets based upon semantic models. COLID assigns URIs as persistent and global unique identifiers to any resource. The incorporated network proxy ensures that these URIs are resolvable and can be used to directly access those assets. By following the Linked Data principles consequently, the data model of COLID uses RDF and provides the content through a SPARQL endpoint to consumers. This model was developed based on learnings from open standards like dcat and prov-o. Being both a management system for resolvable identifier and an asset catalog, COLID is the core service to realize Linked Data in corporate environments and therefore an essential cornerstone for FAIR data. Corporate assets, or resources, can be manifold: data sets, ontologies, reference data, models, studies, or documents. Each resource type has a set of metadata assigned, which may be optional or mandatory. Metadata can be open content like plain or HTML formatted descriptive text, or closely defined, for example date/time, binary flags, or keywords using open and closed sets of controlled vocabularies. Fields can be validated using SHACL constraints. Resources can have one or multiple Distribution Endpoints, which contain clickable links where users can directly access the resource or obtain further information about it. Besides the link URI, Distribution Endpoints hold their own set of metadata, depending on the type of the endpoint. Resources are often in specific relations to other resources. In COLID such relations defined in the underlying semantic model and can be explicitly assigned as links between resources. Linked resources are evaluated for search results scoring. Adding or editing the metadata set of a resource type or distribution endpoint is only a matter of changing the ontology that defines it and does not require a code change in the software. Functionality to read, maintain and administer COLID contents exists primarily in the backend as OpenAPI documented REST API endpoints. To satisfy the ‘Findability’ requirements of FAIR, we employ a full text search engine. Full text searching is augmented by search filters, that can be set for all metadata that hold a limited set of instances, for instance status values, contact persons or dates. These filters are configured automatically based on the ontology describing the metadata per resource type.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of COLID-Documentation
COLID-Documentation Key Features
COLID-Documentation Examples and Code Snippets
Community Discussions
Trending Discussions on Data Manipulation
QUESTION
I am working with the R programming language.
I have the following dataset:
...ANSWER
Answered 2022-Apr-10 at 05:36Up front, "1,3,4" != 1
. It seems you should look to split the strings using strsplit(., ",")
.
QUESTION
I've the following table
Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1The code is as follows:
...ANSWER
Answered 2022-Mar-15 at 08:48One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.
Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.
QUESTION
I have this data frame:
...ANSWER
Answered 2022-Mar-10 at 04:12We can use stri_replace_all_regex
to replace your color_1
into integers together with the arithmetic operator.
Here I've stored your values into a vector color_1_convert
. We can use this as the input in stri_replace_all_regex
for better management of the values.
QUESTION
I have a database with columns M1
, M2
and M3
. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1
and M2
, the rank will be from the highest value to the lowest value and M3
in reverse. I made the output table for you to see.
ANSWER
Answered 2022-Mar-07 at 14:15Using rank
and relocate
:
QUESTION
I working on a Python project that has a DataFrame like this:
...ANSWER
Answered 2022-Feb-24 at 20:48You could use the idxmax
method on axis:
QUESTION
I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.
...ANSWER
Answered 2021-Dec-12 at 05:22With your show samples, attempts; please try following awk
code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END
block of this awk
code print them one by one and I am closing them ASAP all contents are getting printed to output file.
QUESTION
Good afternoon, friends!
I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.
My df is:
...ANSWER
Answered 2022-Feb-03 at 11:16One option with dplyr
could be:
QUESTION
I am again struggling with transforming a wide df into a long one using pivot_longer
The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:
ANSWER
Answered 2022-Feb-03 at 10:59library(tidyverse)
example %>%
pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>%
filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>%
mutate(pwr = parse_number(pwr)) %>%
arrange(pwr, es, type)
QUESTION
Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):
...ANSWER
Answered 2021-Dec-26 at 10:11You may define a function FUN(n)
that creates a data set as shown in OP.
QUESTION
I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.
Here is my data:
...ANSWER
Answered 2021-Dec-16 at 15:25Here's one with regex. See regex101 link for the regex explanations
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install COLID-Documentation
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page