Software Open Access
MECODA (ModulE for Citizen Observatory Data Analysis)
Ana Álvarez;
Carlos Rodero;
Karen Soacha;
Jaume Piera
Other(s)
Álex Amo; Alvaro Antonio Vanegas P.; Óscar González; Daniel BernalMECODA is a package developed on Orange Data Mining platform (a visual programming toolbox made to simplify analysis and data visualization) to facilitate analyzing and viewing all sorts of citizen science data. This service aims to break the barrier between experienced users or programmers and the general public. It allows users from citizen observatories to make their own visual exploratory data analysis without the help of specialized analysts. It also allows viewers to create their own reproducible visual data workflows, share and reuse them.
https://github.com/eosc-cos4cloud/mecoda-orange/
Files
(38.6 MB)
| Name | Size | |
|---|---|---|
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mecoda-orange-master.zip
md5:24e6cd220f70a5028b51875490c170f5 |
38.6 MB | Download |
|
README.md
md5:29f419c6b25396f56033699cc8b6a631 |
21.0 kB | Download |
21
3
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 21 | 21 |
| Downloads | 3 | 3 |
| Data volume | 38.6 MB | 38.6 MB |
| Unique views | 19 | 19 |
| Unique downloads | 2 | 2 |
Indexed in
- Publication date:
- January 31, 2023
- DOI:
-
- Keyword(s):
- data-analysis citizen-science visual-programming python data-visualization
- Grants:
-
European Commission:
- COS4CLOUD - Co-designed Citizen Observatories Services for the EOS-Cloud (863463)
- License (for files):
- Creative Commons Attribution 4.0 International