cLODg2 | cLODg2 is the enhanced version of cLODg | Data Manipulation library
kandi X-RAY | cLODg2 Summary
kandi X-RAY | cLODg2 Summary
cLODg2 is the enhanced version of cLODg. It implements a methodology to produce Linked Data to describe a scientific conference and its publications, participants and events. To generate conference metadata we assume that you have initial data available (with some specific format). We then use use D2R conversion rules to produce metadata described with Conference Ontology. The workflow (modelled as an UML activity diagram in the following figure) includes two main activities, i.e., (i) Linked Data generation and (ii) Linked Data enrichment that start after an initialisation step required to customise the Linked Data generation process properly according to the inputs that consist of the CSV files containing the input data and the D2RQ mapping that will serve for converting CSV files to RDF.
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Top functions reviewed by kandi - BETA
- Main entry point
- Returns the collection of events
- Creates roles for the conference
- Adds a VOID to a conference
- Command - line entry point
- Generate the FM model from the given properties file
- Converts the food model into an output file
- Load a CSV file
- Returns the affiliation resource for the conference
- Returns the affiliation resource for the given model
- Executes the specified query
- Dump the contents of a ResultSet
- Converts the given value into an RDF value
- Converts a label to uri
- Return a set of food foodRoles
- Execute an update
- Writes this model as a model
- Entry point for testing
- Add roles from a model
- Main method for testing
- Command - line parser
- Main method for testing
- Entry point to the database
cLODg2 Key Features
cLODg2 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
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Install cLODg2
You can use cLODg2 like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the cLODg2 component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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