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Timeline for How can I work with a 4GB csv file?

Current License: CC BY-SA 4.0

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S Oct 21, 2022 at 14:07 history suggested James Risner CC BY-SA 4.0
Pretty link for hearing impaired accessibility
Sep 25, 2022 at 3:45 review Suggested edits
S Oct 21, 2022 at 14:07
Jan 3, 2022 at 5:54 answer added steve_in_the_22201 timeline score: 0
Sep 10, 2021 at 15:49 comment added Liam Try xsv. A command like xsv select "Healthcare Provider Taxonomy Code_1" inputfile.csv will extract a column of data, much faster than the excellent csvkit. (I don't have enough reputation yet to answer below)
Jan 18, 2020 at 7:53 comment added aborruso the source file URL does not work
Jul 1, 2019 at 12:14 history protected philshem
Nov 5, 2018 at 21:47 answer added psychemedia timeline score: 0
Nov 15, 2017 at 22:42 answer added user8811 timeline score: 0
Nov 15, 2017 at 14:06 answer added Steven timeline score: 4
Oct 3, 2017 at 21:16 answer added bob timeline score: 2
Sep 12, 2017 at 19:54 answer added Mike Dolan Fliss timeline score: 1
Aug 3, 2017 at 20:56 answer added Andrei Sura timeline score: 4
May 10, 2017 at 11:33 history edited philshem
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Mar 14, 2017 at 22:00 comment added DataMania I have started working on a desktop app todo just this - handle big CSV files, automatically reload from disk and NOT scroll to the top, basic editing and row based cut and paste....Given that this is 2017 and everything is online, would anyone find this of use? I have tried other tools and they don't this as well, or are difficult to use for data analysts...
Oct 13, 2016 at 18:02 comment added albert hi rob, thanks for the input, but your solution is not an open data solution as it costs money. don't want to discourage you from participating here, your comment is valuable and helpful, it just serves the community better if it were posted as a comment and not an answer.
Oct 13, 2016 at 17:39 comment added Rob Carlon Depending on how often you are doing it, maybe look at a provider for NPPES data like NPIViewer.com. I have seen a lot of organization try to handle it in-house and if you are doing it often it can be much cheaper and easier to subscribe to a place that already has it handled.
Jun 9, 2016 at 19:40 comment added Blairg23 This is a perfect use case for Pandas in Python. Check it out!
Apr 17, 2015 at 14:20 history edited Patrick Hoefler
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Apr 17, 2015 at 13:54 history edited Patrick Hoefler
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Jan 13, 2015 at 19:05 answer added Bacon Bits timeline score: 5
Jan 2, 2015 at 13:44 comment added respectPotentialEnergy We frequently use bash or other shells in unix/os x for basic file manipulation. If you only need to subset it, commands like "grep", "cut" and "sed" can get you a long way. If you want to work with it extensively and frequently, a SQL database might be a better shot. I don't know if SQLite would satisfy your requirements, but there are also heavy duty tools like mysql and postgresql that are open source.
Dec 31, 2014 at 12:11 comment added philshem There are some good answers regarding python - if you only read one line at a time, you can load any size file. stackoverflow.com/a/17444799/2327328
Dec 31, 2014 at 12:08 history edited philshem
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Dec 30, 2014 at 17:44 answer added user4331 timeline score: 4
Dec 29, 2014 at 12:35 comment added user4293 Data like this shouts 'database'. Pull it into any RDBMS you have available (they all have tools), 4GB is no issue for them. Drop the columns you don't need or make views to only the required columns.
Dec 22, 2014 at 16:11 history edited philshem
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Nov 25, 2014 at 13:09 history edited Jeanne Holm
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Jul 26, 2014 at 7:07 answer added ndujj timeline score: 8
Jul 17, 2014 at 2:06 answer added clt60 timeline score: 6
Apr 25, 2014 at 8:56 answer added TRF timeline score: 5
Dec 26, 2013 at 14:50 answer added Tim Child timeline score: 7
Dec 18, 2013 at 16:05 answer added Franck Dernoncourt timeline score: 26
Dec 5, 2013 at 0:01 history edited fgregg
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Nov 27, 2013 at 14:51 answer added Michael Hunter timeline score: 11
Nov 22, 2013 at 17:09 answer added Eric Mill timeline score: 10
Nov 12, 2013 at 22:12 answer added user1483 timeline score: 5
Nov 9, 2013 at 14:00 answer added fpp timeline score: 3
Nov 8, 2013 at 16:26 history tweeted twitter.com/#!/StackOpenData/status/398849053616013312
Nov 8, 2013 at 16:09 answer added Joe timeline score: 17
Nov 7, 2013 at 15:30 answer added fgregg timeline score: 65
Nov 7, 2013 at 15:29 history edited fgregg CC BY-SA 3.0
make it clear this is about csv, and he's looking for tools
Nov 7, 2013 at 12:33 answer added Anthony Damico timeline score: 15
Nov 7, 2013 at 10:25 comment added Tasos Have you tried to open the file with the suggested programms from the link (TextPad and UltraEdit). Few weeks before, I open a csv file of 3.5GB with excel.
Nov 7, 2013 at 3:42 review First posts
Nov 8, 2013 at 10:16
Nov 7, 2013 at 3:23 history asked user1453 CC BY-SA 3.0