- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Data visualisation
- Data management3
- Metadata management3
- Data curation2
- Data rendering2
- Database curation2
- Research data management (RDM)2
- Data archival1
- Data archiving1
- Data curation and archival1
- Data preservation1
- Data provenance1
- Data submission, annotation, and curation1
- Research data archiving1
- Show N_FILTERS more
-
-
-
Content provider
- ELIXIR1
- ELIXIR Estonia1
- Show N_FILTERS more
-
-
-
Difficulty level
- Beginner2
- Show N_FILTERS more
-
-
-
Target audience
- Researcher
- Students3
- Bioinformaticians2
- Data Managers2
- Data Scientists2
- Scientists2
- Anyone wishing to interpret graphs showing the progression of COVID-19.1
- Biologists1
- Biomedical Researchers1
- Clinicians1
- Graduate Students1
- Life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements, and would like to use it in their daily data exploration and visualization tasks.1
- PI1
- PhD candidates1
- PhD students1
- PostDocs1
- Postdoctoral Researchers1
- Research Scientists1
- Researcher in life sciences1
- Researchers1
- Show N_FILTERS more
-
-
-
Resource type
- lessons2
- Show N_FILTERS more
-
-
-
Related resource
- Data Visualisation (theory) 1
- R basics1
- Show N_FILTERS more
-
-
-
Status
- Active2
- Show N_FILTERS more
-
- Show archived materials