DataMelt: Difference between revisions
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{{Data mining and learning analytics tools | {{Data mining and learning analytics tools | ||
|field_logo= | |field_logo=http://jwork.org/dmelt/data_dm/images/dm_logo125px.png | ||
|field_screenshot= | |field_screenshot=http://a.fsdn.com/con/app/proj/dmelt/screenshots/slide_ide.png | ||
|field_name=Computation and Visualization Environment | |field_name=Computation and Visualization Environment | ||
|field_developers=DataMelt community. Led by S.Chekanov | |field_developers=DataMelt community. Led by S.Chekanov | ||
Revision as of 17:37, 11 July 2015
Computation and Visualization Environment 1.2 (2015/07/10)
Developed by: DataMelt community. Led by S.Chekanov
License: GPL / GNU for non commercial use. Commercial-friendly license is available
Web page : Tool homepage
Tool type : Application software
The last edition of this page was on: 2014/02/26
The Completion level of this page is : Medium
The last edition of this page was on: 2014/02/26 The Completion level of this page is : Medium
SHORT DESCRIPTION
DataMelt is a software environment for numeric calculations, statistics and data analysis
DataMelt, or DMelt, is an environment for numeric computation, data analysis and data visualization. DMelt is designed for analysis of large data volumes ("big data"), data mining, statistical analyses and math computations. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets.
DMelt is a computational platform: It can be used with different programming languages on different operating systems. Unlike other statistical programs, DataMelt is not limited by a single programming language. Data analysis and statistical computations can be done using high-level scripting languages (Python/Jython, Groovy, etc.), as well as a lower-level language, such as JAVA. It incorporates many open-source JAVA packages into a coherent interface using the concept of dynamic scripting.
DMelt creates high-quality vector-graphics images (SVG, EPS, PDF etc.) that can be included in LaTeX and other text-processing systems.
TOOL CHARACTERISTICS
Usability
Tool orientation
Data mining type
Manipulation type
IMPORT FORMAT :
EXPORT FORMAT :
| Tool objective(s) in the field of Learning Sciences | |
|
☑ Analysis & Visualisation of data |
☑ Providing feedback for supporting instructors: |
Tool can perform:
- Data extraction of type:
- Transformation of type: Mathematical transformation of data for analysis
- Data analysis of type: Data mining methods and algorithms, Basic statistics and data summarization
- Data visualisation of type: Sequential Graphic, Chart/Diagram, Map (These visualisations can be interactive and updated in "real time")
ABOUT USERS
Tool is suitable for:
Required skills:
STATISTICS: Advanced
PROGRAMMING: Basic
SYSTEM ADMINISTRATION: None
DATA MINING MODELS: Medium
FREE TEXT
| Tool version : Computation and Visualization Environment 1.2 2015/07/10 (blank line) Developed by : DataMelt community. Led by S.Chekanov | File:Http://a.fsdn.com/con/app/proj/dmelt/screenshots/slide ide.png |
SHORT DESCRIPTION
DataMelt is a software environment for numeric calculations, statistics and data analysis
DataMelt, or DMelt, is an environment for numeric computation, data analysis and data visualization. DMelt is designed for analysis of large data volumes ("big data"), data mining, statistical analyses and math computations. The program can be used in many areas, such as natural sciences, engineering, modeling and analysis of financial markets.
DMelt is a computational platform: It can be used with different programming languages on different operating systems. Unlike other statistical programs, DataMelt is not limited by a single programming language. Data analysis and statistical computations can be done using high-level scripting languages (Python/Jython, Groovy, etc.), as well as a lower-level language, such as JAVA. It incorporates many open-source JAVA packages into a coherent interface using the concept of dynamic scripting.
DMelt creates high-quality vector-graphics images (SVG, EPS, PDF etc.) that can be included in LaTeX and other text-processing systems.
TOOL CHARACTERISTICS
| Tool orientation | Data mining type | Usability |
|---|---|---|
| This tool is designed for general purpose analysis. | This tool is designed for . | Authors of this page consider that this tool is . |
| Data import format | Data export format |
|---|---|
| . | . |
| Tool objective(s) in the field of Learning Sciences | |
|
☑ Analysis & Visualisation of data |
☑ Providing feedback for supporting instructors: |
Can perform data extraction of type:
Can perform data transformation of type:
Mathematical transformation of data for analysis
Can perform data analysis of type:
Data mining methods and algorithms, Basic statistics and data summarization
Can perform data visualisation of type:
Sequential Graphic, Chart/Diagram, Map (These visualisations can be interactive and updated in "real time")
ABOUT USER
| Tool is suitable for: | ||||
| Students/Learners/Consumers:☑ | Teachers/Tutors/Managers:☑ | Researchers:☑ | Organisations/Institutions/Firms:☑ | Others:☑ |
| Required skills: | |||
| Statistics: ADVANCED | Programming: BASIC | System administration: NONE | Data mining models: MEDIUM |
OTHER TOOL INFORMATION
| File:Http://a.fsdn.com/con/app/proj/dmelt/screenshots/slide ide.png |
| http://a.fsdn.com/con/app/proj/dmelt/screenshots/slide_ide.png |
| http://jwork.org/dmelt/data_dm/images/dm_logo125px.png |
| Computation and Visualization Environment |
| GPL / GNU for non commercial use. Commercial-friendly license is available"GPL / GNU for non commercial use. Commercial-friendly license is available" is not in the list (Artistic License 2.0, Berkeley Database License, Boost Software License, BSD license (modified version), BDL / BSD Documentation License, CeCILL (CEA CNRS INRIA Logiciel Libre), Cryptix General License, Eclipse Distribution License, EUPL - European Union Public License, GPL / GNU General Public License, ...) of allowed values for the "Free software license" property. |
| Free&Open source |
| DataMelt community. Led by S.Chekanov |
| 2015/07/10 |
| 1.2 |
| http://jwork.org/dmelt/ |
| DataMelt is a software environment for numeric calculations, statistics and data analysis
DMelt is a computational platform: It can be used with different programming languages on different operating systems. Unlike other statistical programs, DataMelt is not limited by a single programming language. Data analysis and statistical computations can be done using high-level scripting languages (Python/Jython, Groovy, etc.), as well as a lower-level language, such as JAVA. It incorporates many open-source JAVA packages into a coherent interface using the concept of dynamic scripting. DMelt creates high-quality vector-graphics images (SVG, EPS, PDF etc.) that can be included in LaTeX and other text-processing systems. |
| General analysis |
| Advanced |
| Basic |
| None |
| Medium |
| Application software |
| Data transformation, Data analysis, Data visualisation |
| Data mining methods and algorithms, Basic statistics and data summarization |
| Mathematical transformation of data for analysis |
| Sequential Graphic, Chart/Diagram, Map |
| Medium |
