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# Challenge 16 - Air quality dashboard
> **Stream 1 - Data Visualization and visual narratives for Earth Sciences applications**
### Goal
Develop an online dashboard for displaying and monitori…
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- What are our own conclusions? How are we dictating them?
- How can we make room for something we do not know yet?
- How does this a) our narrative (one-dimensional) part and b) the exploratory par…
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**As a** man who cares about equal partnership,
**I want** evidence that women face a higher unpaid work burden both in the US & globally,
**So that** I can better understand the burden & share…
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**Is your feature request related to a problem? Please describe.**
Improve JupyterLab experience for VEDA users with more functionality.
**Describe the solution you'd like**
Following CryoClo…
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Complete written explanations for all sections in project document.
1. Title
2. Abstract
3. Introduction
4. Explanatory data analysis
5. Results
6. Conclusion
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- [ ] add narrative to api description
- [ ] remove joblibs for memcaching
- [ ] use `n_jobs` using `joblibs` to make script parallel
- [ ] do something about using private functions in mne
- [ ] …
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Even though "a picture is a thousand words," some things are "easy" to write about but hard to show in a picture. But often that one graphic is more powerful than 10,00 words. This session would try t…
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Thanks to @micahstubbs and @amyxzhang for spurring this.
Interpretability of Polis results has been, and continues to be, a critical issue for Polis as a platform, and a challenge to the usage of t…
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**Context**
[Our current ncov tutorial lists an unlinked item for "case studies"](https://github.com/nextstrain/ncov/blob/40ae575/docs/index.md#getting-started-with-visualization--interpretation) and…
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