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TimeBench | foundational data structures and algorithms for time- | Data Visualization library

 by   ieg-vienna Java Version: Current License: BSD-2-Clause

 by   ieg-vienna Java Version: Current License: BSD-2-Clause

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kandi X-RAY | TimeBench Summary

TimeBench is a Java library typically used in Analytics, Data Visualization applications. TimeBench has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However TimeBench build file is not available. You can download it from GitHub, Maven.
foundational data structures and algorithms for time- oriented data in Visual Analytics
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
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kandi-support Support

  • TimeBench has a low active ecosystem.
  • It has 24 star(s) with 6 fork(s). There are 8 watchers for this library.
  • It had no major release in the last 12 months.
  • TimeBench has no issues reported. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of TimeBench is current.
TimeBench Support
Best in #Data Visualization
Average in #Data Visualization
TimeBench Support
Best in #Data Visualization
Average in #Data Visualization

quality kandi Quality

  • TimeBench has 0 bugs and 0 code smells.
TimeBench Quality
Best in #Data Visualization
Average in #Data Visualization
TimeBench Quality
Best in #Data Visualization
Average in #Data Visualization

securitySecurity

  • TimeBench has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • TimeBench code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
TimeBench Security
Best in #Data Visualization
Average in #Data Visualization
TimeBench Security
Best in #Data Visualization
Average in #Data Visualization

license License

  • TimeBench is licensed under the BSD-2-Clause License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
TimeBench License
Best in #Data Visualization
Average in #Data Visualization
TimeBench License
Best in #Data Visualization
Average in #Data Visualization

buildReuse

  • TimeBench releases are not available. You will need to build from source code and install.
  • Deployable package is available in Maven.
  • TimeBench has no build file. You will be need to create the build yourself to build the component from source.
  • Installation instructions are not available. Examples and code snippets are available.
  • It has 16283 lines of code, 1263 functions and 161 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
TimeBench Reuse
Best in #Data Visualization
Average in #Data Visualization
TimeBench Reuse
Best in #Data Visualization
Average in #Data Visualization
Top functions reviewed by kandi - BETA

kandi has reviewed TimeBench and discovered the below as its top functions. This is intended to give you an instant insight into TimeBench implemented functionality, and help decide if they suit your requirements.

  • Determine the maximum of the maximum granularity of a given granularity .
    • Returns the child of this layout element .
      • Create a visualization visualization .
        • Gets the forecast data for the given benchmark .
          • Returns a list of all the points in a band .
            • Writes a DataSet to a Result
              • The main method for reading the XML stream .
                • Checks recurrences .
                  • Run the analysis .
                    • Generate an indeterminate project plan .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      TimeBench Key Features

                      foundational data structures and algorithms for time- oriented data in Visual Analytics

                      TimeBench Examples and Code Snippets

                      See all related Code Snippets

                      default

                      copy iconCopydownload iconDownload
                      The source of several demo applications showing the library in use is included
                      in the `demo/` directory.
                      
                      The demos are also available via Java Web Start at
                      (http://www.cvast.tuwien.ac.at/TimeBench).
                      
                      STRUCTURE
                      ---------
                      
                      The library distribution uses the following organization:
                      <pre>
                      + TimeBench
                      |-- data   Data files used by the demo applications
                      |-- demo   Demo applications showing the library in use
                      |-- src    The source code for the TimeBench library
                      </pre>
                      
                      REQUIREMENTS
                      ------------
                      
                      TimeBench is written in Java 1.6. To compile the TimeBench code, and to build
                      and run Visual Analytics prototypes, you'll need a copy of the Java Development
                      Kit (JDK) for version 1.6 or greater.
                      
                      The library depends on the following packages:
                      - [prefuse](https://github.com/ieg-vienna/Prefuse), with some extensions
                      - [Apache Commons Lang 3 classes](http://commons.apache.org/proper/commons-lang/)
                      - [Apache log4j 1.2](http://logging.apache.org/log4j/1.2/)
                      - [iCal4j 1.0.4](http://sourceforge.net/projects/ical4j/)
                      - Java/R Interface (JRI), which is part of [rJava](http://www.rforge.net/rJava/)
                      - [ieg-util](https://github.com/ieg-vienna/ieg-util), general Java utilities
                      - [ieg-prefuse](https://github.com/ieg-vienna/ieg-prefuse), general prefuse extensions
                      
                      We also recommended (though by no means is it required) that you use an
                      Integrated Development Environment such as Eclipse (http://eclipse.org).
                      Especially if you are a Java novice, it will likely make your life much easier.
                      
                      Citation
                      --------
                      
                      Rind, A.; Lammarsch, T.; Aigner, W.; Alsallakh, B. & Miksch, S.:
                      [TimeBench: A Data Model and Software Library for Visual Analytics of Time-Oriented Data](http://www.ifs.tuwien.ac.at/~rind/preprint/rind_2013_vast_timebench.pdf),
                      _IEEE Transactions on Visualization and Computer Graphics, Special Issue "VIS 2013",_
                      Vol. 19, No. 12, forthcoming, 2013.

                      See all related Code Snippets

                      Community Discussions

                      Trending Discussions on Data Visualization
                      • Connecting All Nodes Together on a Graph
                      • R: Connecting Points in Arbitrary Order
                      • Fixing Cluttered Titles on Graphs
                      • Adding Contour Lines to 3D Plots
                      • How can I create a doughnut chart with rounded edges only on one end of each segment?
                      • Understanding "list" and "do.call" commands
                      • Is it possible to not reorder elements when using d3.join?
                      • Is there way in ggplot2 to place text on a curved path?
                      • How to add/append customized plot in for loop to Single subplot in Python using Matplotlib?
                      • Constructing a hexagonal heat-map with custom colors in each cell
                      Trending Discussions on Data Visualization

                      QUESTION

                      Connecting All Nodes Together on a Graph

                      Asked 2022-Mar-30 at 20:34

                      I have the following network graph:

                      library(tidyverse)
                      library(igraph)
                      
                      
                      set.seed(123)
                      n=5
                      data = tibble(d = paste(1:n))
                      
                      relations = data.frame(tibble(
                        from = sample(data$d),
                        to = lead(from, default=from[1]),
                      ))
                      
                      graph = graph_from_data_frame(relations, directed=T, vertices = data) 
                      
                      V(graph)$color <- ifelse(data$d == relations$from[1], "red", "orange")
                      
                      plot(graph, layout=layout.circle, edge.arrow.size = 0.2)
                      

                      enter image description here

                      I want to connect each Node to every Node on this graph - I can do this manually by redefining the "relations" data frame:

                      relations_1 = data.frame("from" = c(1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5), "to" = c(2,3,4,5,1,3,4,5,1,2,4,5,1,2,3,5,1,2,3,4))
                      

                      Then, I can re-run the network graph:

                      graph = graph_from_data_frame(relations_1, directed=T, vertices = data) 
                      
                      V(graph)$color <- ifelse(data$d == relations_1$from[1], "red", "orange")
                      
                      plot(graph, layout=layout.circle, edge.arrow.size = 0.2)
                      

                      enter image description here

                      • But would there have been a way to "automatically" connect all the points in the graph directly using the "relations" data frame without manually creating a new data frame "relations_1"? Could a single line (or a few lines) of code have been added that would have automatically taken the "relations" data frame and connected everything together?

                      Thank you!

                      ANSWER

                      Answered 2022-Mar-30 at 04:35

                      You could just update relations using complete, and than filter out the rows where from is equal to to, which gives arrows from a node to itself.

                      relations <- relations %>% 
                        complete(from, to) %>% 
                        dplyr::filter(from != to)
                      

                      Source https://stackoverflow.com/questions/71671488

                      Community Discussions, Code Snippets contain sources that include Stack Exchange Network

                      Vulnerabilities

                      No vulnerabilities reported

                      Install TimeBench

                      You can download it from GitHub, Maven.
                      You can use TimeBench 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 TimeBench 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 .

                      Support

                      For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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