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project:analyzecordis [2015/06/09 09:33] – [Ideation Process] ana | project:analyzecordis [2015/06/09 16:29] (current) – [Links] ana | ||
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What stories can be found in the data and how can we visualize them? | What stories can be found in the data and how can we visualize them? | ||
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Wrangling stories out of chaotic data... with a little help from IPython | Wrangling stories out of chaotic data... with a little help from IPython | ||
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==== Visual Stories ==== | ==== Visual Stories ==== | ||
- | work in progress | + | ===A given set of data can be (mis-)used to tell completely opposite stories=== |
- | A given set of data can be (mis-)used | + | During FP4 Switzerland got most funding per project. It had only 8 projects in that period, but the 31st most expensive one of the 4k considered. However, only ca. 0.3% of the total funding went to Switzerland. |
- | * [[https:// | + | {{:project: |
- | Visualisation tools can show new connections. | + | <GITHUB upekkha/ |
- | * [[http:// | ||
- | ===== Team ===== | ||
- | > Precautions when surfing in contaminated data fluids: never surf alone or when under the influence of drugs or alcohol, and never dive head first into an unfamiliar source of data. - Barbara Strebel | + | ===New visualisation tools can show new connections=== |
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+ | Looking at projects during FP4 where Switzerland was the coordinating country, the longest | ||
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+ | During Horizon2020 | ||
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+ | ===== Team ===== | ||
* [[user: | * [[user: | ||
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- | {{tag> | + | > Precautions when surfing in contaminated data fluids: never surf alone or when under the influence of drugs or alcohol, and never dive head first into an unfamiliar source of data. - Barbara Strebel (1997) |
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+ | ===== Links ===== | ||
+ | * [[http:// | ||
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+ | {{tag> | ||