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== Data and model analysis @ SRC == | == Data and model analysis @ SRC == | ||
This section collects hints and tricks for how to use our in-house technical resources for doing data and model analysis. The page is currently maintained by the [http://www.seslink.org/ SESLINK] group | This section collects hints and tricks for how to use our in-house technical resources for doing data and model analysis. The page is currently maintained by Ingo and members from the [http://www.seslink.org/ SESLINK] group. Updates can be suggested through the Coding club - currently meeting on Tuesdays 16:00. | ||
* [[Visualization techniques]] - collection of links to produce figures, infographics, ... | * [[Visualization techniques]] - collection of links from R and Jupyter to produce figures, infographics, ... | ||
* [[Git]] | * [[Git]] version control for paper, data analysis and modeling projects | ||
* [[NetLogo]] tips and tricks | * [[NetLogo]] tips and tricks for designing simulation experiments | ||
* [[R]] tips and tricks | * [[R]] tips and tricks for statistical analysis | ||
* [[Gunvor]] - how to access our computation server | * [[Gunvor]] - how to access our computation server | ||
* [[Jupyter Notebooks]] on Gunvor | * [[Jupyter Notebooks]] on Gunvor | ||
* [[Linux tips and tricks]] - how to work with shell commands | * [[Linux tips and tricks]] - how to work with shell commands | ||
* [[Running simulations in the cloud]] | * [[Running simulations in the cloud]] - just in case Gunvor is not your friend, you might want to consider run heavy analyses somewhere | ||
* [[Available software]] at SU and SRC | * [[Available software]] at SU and SRC | ||
* [[Technical documentation]] - about external servers | * [[Technical documentation]] - about external servers | ||
* [[ | * [[Bibliometric analysis]] - different tools and strategies | ||
You have not found what you were looking for? Contact Ingo or Romina to help you further! | You have not found what you were looking for? Contact Ingo, Andrea, Erik or Romina to help you further! | ||
=== Potential upcoming topics === | === Potential upcoming topics === | ||
* '''Navigating Gunvor''' | |||
* '''Quality assurance''' | * '''Quality assurance''' | ||
** improve collaboration | ** improve collaboration | ||
** improve reproducibility, example from "Better science in less time" | ** improve reproducibility, example from "Better science in less time" | ||
** making assumptions visible (e.g. underlying maps) | ** making assumptions visible (e.g. underlying maps) | ||
* '''How to get 'big data'?''' | * '''How to get 'big data'?''' | ||
| Line 41: | Line 40: | ||
=== Tutorials === | === Tutorials === | ||
* Plotting with [https://matplotlib.org/users/pyplot_tutorial.html python] | |||
* Designing models in [https://ccl.northwestern.edu/netlogo/docs/tutorial1.html NetLogo] | |||
Send us your favourite training websites and cheat sheetes! | Send us your favourite training websites and cheat sheetes! | ||
Latest revision as of 15:47, 12 December 2023
Welcome to the wiki for data and model analysis!
Data and model analysis @ SRC
This section collects hints and tricks for how to use our in-house technical resources for doing data and model analysis. The page is currently maintained by Ingo and members from the SESLINK group. Updates can be suggested through the Coding club - currently meeting on Tuesdays 16:00.
- Visualization techniques - collection of links from R and Jupyter to produce figures, infographics, ...
- Git version control for paper, data analysis and modeling projects
- NetLogo tips and tricks for designing simulation experiments
- R tips and tricks for statistical analysis
- Gunvor - how to access our computation server
- Jupyter Notebooks on Gunvor
- Linux tips and tricks - how to work with shell commands
- Running simulations in the cloud - just in case Gunvor is not your friend, you might want to consider run heavy analyses somewhere
- Available software at SU and SRC
- Technical documentation - about external servers
- Bibliometric analysis - different tools and strategies
You have not found what you were looking for? Contact Ingo, Andrea, Erik or Romina to help you further!
Potential upcoming topics
- Navigating Gunvor
- Quality assurance
- improve collaboration
- improve reproducibility, example from "Better science in less time"
- making assumptions visible (e.g. underlying maps)
- How to get 'big data'?
- from behind paywals?
- how to deal with that data later on? (when you need to make it available, open access ...)
- licenses
- platforms, portals (e.g. on SU where you can get a doi)
- open data surveys
- SND - swedish data service
Literature
- Good enough practices in scientific computing Wilson et al. 2017
Tutorials
Send us your favourite training websites and cheat sheetes!