police-settlements
disk.frame
| police-settlements | disk.frame | |
|---|---|---|
| 10 | 5 | |
| 143 | 593 | |
| 1.4% | 0.3% | |
| 0.0 | 0.0 | |
| over 2 years ago | 3 months ago | |
| R | R | |
| - | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
police-settlements
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Biden Promised a Police Misconduct Database. He’s Yet to Deliver.
Traces of it can be found on github here.
- This is such a common tactic because police face ZERO accountability. The reporter was illegally arrested at a public park, they wanted to hide their actions from public view. The charges were dropped and the taxpayers will have to cover the lawsuit.
- Police misconduct settlements
- A FiveThirtyEight/The Marshall Project effort to collect comprehensive data on police misconduct settlements from 2010-19.
- Fivethirtyeight/police-settlements: comprehensive data on police misconduct
disk.frame
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Do you code from memory? Or do you reference things?
Say hello to disk.frame.
- How can I read in only two columns from a massive 10+ GB tab file?
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Data cleaning/ analysis 100-200 million rows of data. Is this doable in R, or is there another program I should try instead?
It depends on your hardware, but it should not be a problem. You might look into disk frame (https://diskframe.com) or similar packages.
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is it possible to have my enviroment objects and work with them on my local drive instead of RAM?
If that doesn't work, the disk.frame package might help. It is new-ish and not common, but does seem to work with data on disk rather than in memory
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We Test PCIe 4.0 Storage: The AnandTech 2021 SSD Benchmark Suite
> The speeds were just stunning to say the least at 15GB/s.
That is amazing. That is around DDR4-1866 speeds, and not far from DDR4-2666 (~21 GB/s). At those speeds I would happily work with dataframes sitting on the disk rather than in memory [1, 2]. Did you benchmark RAID 0 with less than four disks?
[1] R: https://github.com/xiaodaigh/disk.frame
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