# Charts from sysstat data

**URL:** <https://discourse.julialang.org/t/charts-from-sysstat-data/19411>\
**Category:** Visualization\
**Created:** [January 9, 2019, 3:49am UTC](https://discourse.julialang.org/t/charts-from-sysstat-data/19411 "2019-01-09T03:49:42Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![johnh](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/johnh/32/3615_2.png) [@johnh](https://discourse.julialang.org/u/johnh)\
**Post date:** [January 9, 2019, 3:49am UTC](https://discourse.julialang.org/t/charts-from-sysstat-data/19411/1 "2019-01-09T03:49:42Z")

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What is a good utility to produce pie charts from CSV files?  
My first thoughts would be the Queryverse - or shoud I be looking at something else?  
Specifically I would like to produce pie charts for the sums of different columns of data, and also combine some columns (which represent the IO rates of different disks - see below).

I was working with data produced by the Linux sysstat package yesterday

> **[SYSSTAT](http://sebastien.godard.pagesperso-orange.fr/)**
>
> Performance tools for LINUX

It is quite a well known package which produces files containing ten minute values of CPU load, IO stats etc. I am looking at disk IO rates.  
I found it possible to produce a CSV file of the data values using the sadc utility.  
My current CSV file has around 3000 rows, so not massive.

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**Author:** ![davidanthoff](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/davidanthoff/32/223493_2.png) [@davidanthoff](https://discourse.julialang.org/u/davidanthoff)\
**Post date:** [January 9, 2019, 4:04am UTC](https://discourse.julialang.org/t/charts-from-sysstat-data/19411/2 "2019-01-09T04:04:28Z")

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I think in general Queryverse should be a good fit for this, except that [VegaLite.jl](https://github.com/fredo-dedup/VegaLite.jl) (the native Queryverse charting package) doesn’t support pie charts 🙂 But in general you should be able to use different plotting packages with Queryverse as well, I’m just less familiar with them.