48 lines
1,014 B
Text
48 lines
1,014 B
Text
---
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title: "Popcorn analysis"
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---
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## Quarto
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Quarto enables you to weave together content and executable code into a finished document. To learn more about Quarto see <https://quarto.org>.
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```{python}
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from lets_plot import LetsPlot
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LetsPlot.setup_html()
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```
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Testing plot
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```{python}
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#| column: page
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from notebooks.popcorn import plt_filesize
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outp, defs = plt_filesize.run()
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outp
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```
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## Outline
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- intro
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- filesize
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- unique installations reported from
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- packages -> perhaps find new subcategories
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- global
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- relative (pkg/unique)
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- top packages
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- rare packages?
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- install distribution
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- packages per time unit (find clever title, e.g. 'accumulated packages')
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- per year?
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- weekday
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- month of year (combine with weekday?)
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- kernels
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- overall kernel version installations
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- kernels over time
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- misc
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- missing days
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- moved days
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- things we can't see (limitations)
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- packages on offer in the repositories
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- this could shed light on the bumps of users and relative package ownership
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