jm + graphs + data   7

Plotly
Online chart maker for CSV and Excel data; make charts and dashboards online. One really nice feature is that charts made this way get permalinks, and can be easily inlined as PNGs or HTML5 divs. (See https://www.vividcortex.com/blog/analyzing-sparks-mpp-scalability-with-the-usl for an example.)
data  javascript  python  tools  visualization  dataviz  charts  graphing  web  plotly  plots  graphs 
january 2016 by jm
Facette
Really nice time series dashboarding app. Might consider replacing graphitus with this...
time-series  data  visualisation  graphs  ops  dashboards  facette 
january 2015 by jm
How to Name a Baby
some good data (and graphs) on baby names (via Ruth)
via:ruth  babies  naming  graphs  dataviz  data  usa  names 
january 2014 by jm
Accuweather long-range forecast accuracy questionable
"questionable" is putting it mildly:

Now to to the point: Are the 25-day forecasts any good? In a word, no. Specifically, after running this data, I would not trust a forecast high temperature more than a week out. I’d rather look at the normal (historical average) temperature for that day than the forecast. Similarly, I would not even look at a precipitation forecast more than 6 days in advance, and I wouldn’t start to trust it for anything important until about 3 days ahead of time.
accuweather  accuracy  fail  graphs  data  weather  forecasting  philadelphia 
june 2013 by jm
Introducing Kale « Code as Craft
Etsy have implemented a tool to perform auto-correlation of service metrics, and detection of deviation from historic norms:
at Etsy, we really love to make graphs. We graph everything! Anywhere we can slap a StatsD call, we do. As a result, we’ve found ourselves with over a quarter million distinct metrics. That’s far too many graphs for a team of 150 engineers to watch all day long! And even if you group metrics into dashboards, that’s still an awful lot of dashboards if you want complete coverage. Of course, if a graph isn’t being watched, it might misbehave and no one would know about it. And even if someone caught it, lots of other graphs might be misbehaving in similar ways, and chances are low that folks would make the connection.

We’d like to introduce you to the Kale stack, which is our attempt to fix both of these problems. It consists of two parts: Skyline and Oculus. We first use Skyline to detect anomalous metrics. Then, we search for that metric in Oculus, to see if any other metrics look similar. At that point, we can make an informed diagnosis and hopefully fix the problem.


It'll be interesting to see if they can get this working well. I've found it can be tricky to get working with low false positives, without massive volume to "smooth out" spikes caused by normal activity. Amazon had one particularly successful version driving severity-1 order drop alarms, but it used massive event volumes and still had periodic false positives. Skyline looks like it will alarm on a single anomalous data point, and in the comments Abe notes "our algorithms err on the side of noise and so alerting would be very noisy."
etsy  monitoring  service-metrics  alarming  deviation  correlation  data  search  graphs  oculus  skyline  kale  false-positives 
june 2013 by jm
21 graphs that show America’s health-care prices are ludicrous
Excellent data, this. I'd heard a few of these prices, but these graphs really hit home. $26k for a caesarean section at the 95th percentile!? talk about out of control price gouging.
healthcare  costs  economics  us-politics  world  comparison  graphs  charts  data  via:hn  america 
march 2013 by jm
dygraphs JavaScript Visualization Library
'an open source JavaScript library that produces produces interactive, zoomable charts of time series. It is designed to display dense data sets and enable users to explore and interpret them.' quite pretty
time-series  data  tsd  graphs  charts  javascript  via:reddit  dataviz  visualization  opensource  dygraphs  from delicious
december 2009 by jm

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