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    <description>recent bookmarks from jm</description>
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    <title>CoVariants</title>
    <dc:date>2022-04-25T13:45:34+00:00</dc:date>
    <link>https://covariants.org/cases</link>
    <dc:creator>jm</dc:creator><description><![CDATA[Ireland is included:

<blockquote>These graphs show [COVID-19] cases per million for selected countries, coloured by the estimated frequency of variants. Only a small percentage of cases are sequenced in most countries, therefore these graphs show the reported case numbers coloured by the frequency of variants detected by sequences in these countries - which may represent <5% of cases.</blockquote>

]]></description>
<dc:subject>sars-cov-2 covid-19 cases variants charts graphs</dc:subject>
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<item rdf:about="https://github.blog/2022-02-14-include-diagrams-markdown-files-mermaid/">
    <title>GitHub now supports embedded graphs and diagrams using Mermaid</title>
    <dc:date>2022-02-16T09:28:01+00:00</dc:date>
    <link>https://github.blog/2022-02-14-include-diagrams-markdown-files-mermaid/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[This is very handy!

<blockquote>Mermaid is a JavaScript based diagramming and charting tool that takes Markdown-inspired text definitions and creates diagrams dynamically in the browser. Maintained by Knut Sveidqvist, it supports a bunch of different common diagram types for software projects, including flowcharts, UML, Git graphs, user journey diagrams, and even the dreaded Gantt chart.  Working with Knut and also the wider community at CommonMark, we’ve rolled out a change that will allow you to create graphs inline using Mermaid syntax.</blockquote>

Nearly graphviz but not quite :)]]></description>
<dc:subject>diagrams github markdown mermaid charts graphs</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://twitter.com/BristOliver/status/1356150658337009666">
    <title>a great demo of log-scale graphing</title>
    <dc:date>2021-07-07T09:44:37+00:00</dc:date>
    <link>https://twitter.com/BristOliver/status/1356150658337009666</link>
    <dc:creator>jm</dc:creator><description><![CDATA[The story of BigPharmia and Novaxia, from Oliver Johnson on Twitter, a nice demo of how log-scale graphs can make interesting patterns in the data clearer]]></description>
<dc:subject>log-scale logs graphs charts graphing oliver-johnson dataviz data</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:c5d194e29ab4/</dc:identifier>
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<item rdf:about="https://automeris.io/WebPlotDigitizer/">
    <title>WebPlotDigitizer</title>
    <dc:date>2020-10-01T09:17:17+00:00</dc:date>
    <link>https://automeris.io/WebPlotDigitizer/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[Extract data from plots, images, and maps:

<blockquote>It is often necessary to reverse engineer images of data visualizations to extract the underlying numerical data. WebPlotDigitizer is a semi-automated tool that makes this process extremely easy:

Works with a wide variety of charts (XY, bar, polar, ternary, maps etc.)
Automatic extraction algorithms make it easy to extract a large number of data points
Free to use, opensource and cross-platform (web and desktop)
Used in hundreds of published works by thousands of users
Also useful for measuring distances or angles between various features</blockquote>

]]></description>
<dc:subject>data-extraction scraping tools data charts</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="https://ourworldindata.org/coronavirus-data-explorer?zoomToSelection=true&amp;country=SWE~FIN~NOR~DNK&amp;region=World&amp;deathsMetric=true&amp;interval=total&amp;hideControls=true&amp;perCapita=true&amp;smoothing=0&amp;pickerMetric=location&amp;pickerSort=asc">
    <title>Coronavirus Pandemic Data Explorer - Our World in Data</title>
    <dc:date>2020-09-21T16:31:32+00:00</dc:date>
    <link>https://ourworldindata.org/coronavirus-data-explorer?zoomToSelection=true&amp;country=SWE~FIN~NOR~DNK&amp;region=World&amp;deathsMetric=true&amp;interval=total&amp;hideControls=true&amp;perCapita=true&amp;smoothing=0&amp;pickerMetric=location&amp;pickerSort=asc</link>
    <dc:creator>jm</dc:creator><description><![CDATA[Cumulative deaths per 100k, Finland/Sweden/Denmark/Norway.  Bookmarking for the inevitable discussions with COVID deniers (thanks Soren!)]]></description>
<dc:subject>covid-19 via:soren graphs charts sweden</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:0b58144b84e6/</dc:identifier>
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<item rdf:about="https://twitter.com/zorinaq/status/1276578004072673280">
    <title>Nice heatmap dataviz of Florida COVID-19 cases, over time, by age bracket</title>
    <dc:date>2020-07-15T15:57:45+00:00</dc:date>
    <link>https://twitter.com/zorinaq/status/1276578004072673280</link>
    <dc:creator>jm</dc:creator><description><![CDATA[Beͫvͣaͬnͨd on Twitter: "I love this heatmap❤️ It represents over 100,000 individual datapoints. These are Florida COVID-19 cases, over time, by age bracket. I published open-source code to make it: https://t.co/8USY29mDDn The recent case surge is driven by 20-24-year-old Floridians. 1/N https://t.co/Pw2p9xTLaq" / Twitter]]></description>
<dc:subject>dataviz heatmaps graphics charts covid-19 analytics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:fe306b3889d0/</dc:identifier>
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<item rdf:about="https://square.github.io/cubism/">
    <title>Cubism.js</title>
    <dc:date>2020-02-10T12:06:19+00:00</dc:date>
    <link>https://square.github.io/cubism/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[A minimalist dashboard style using horizon charts:

<blockquote>Horizon charts reduce vertical space without losing resolution. Larger values are overplotted in successively darker colors, while negative values are offset to descend from the top. As you increase the number of colors, you reduce the required vertical space [...] .  By combining position and color, horizon charts improve perception: position is highly effective at discriminating small changes, while color differentiates large changes. To further increase data density, Cubism favors per-pixel metrics where each pixel encodes a distinct point in time. Cubism also includes thoughtful default colors by Cynthia Brewer.</blockquote>

]]></description>
<dc:subject>charts javascript visualization d3 charting graphs horizon-charts ui monitoring</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:9282a22da2ab/</dc:identifier>
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</item>
<item rdf:about="https://www.artsy.net/artwork/apollo-13-earth-orbital-chart">
    <title>APOLLO 13 EARTH ORBITAL CHART | Artsy</title>
    <dc:date>2017-08-01T15:24:29+00:00</dc:date>
    <link>https://www.artsy.net/artwork/apollo-13-earth-orbital-chart</link>
    <dc:creator>jm</dc:creator><description><![CDATA[Some nice catalogue details around this Apollo 13 AEO:

<blockquote>Apollo Earth Orbit Chart (AEO), Apollo Mission 13 for April 1970 Launch Date. March 3, 1970. Color Earth map, first edition. 13 by 42 inches.

From the Catalogue:
SIGNED and INSCRIBED: “JAMES LOVELL, Apollo 13 CDR and FRED HAISE, Apollo 13 LMP." Additionally INSCRIBED by HAISE with mission events: "Launch at 2:13 pm EST, April 11, 1970" and "Splash – April 17, 1970." He has marked the splashdown area with an "X."

Circular plots in black represent the ground station communication coverage areas with the red circle being the tracking ship Vanguard in the Atlantic Ocean. Orbital paths show the full launch range azimuths of 72 to 108 degrees. The first orbit is plotted in light blue with the second orbit in dark blue. The planned TLI (TransLunar Injection) burn occurred on time during the mission and is plotted with a red dashed line. The point above the Earth as Apollo 13 headed toward the Moon is shown with a brown line and continues for 24 hours of mission elapsed time. This line moves over the Pacific Ocean and into the continental United States. Then it moves backwards (relative to the Earth’s rotation) over the Pacific Ocean and ends near the west coast of Africa. The Service Module explosion occurred some 32 hours after end point of the TLI brown line tracking plot.</blockquote>

]]></description>
<dc:subject>aeo apollo history spaceflight collectibles antiques james-lovell fred-haise 1970 apollo-13 charts</dc:subject>
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<item rdf:about="https://plot.ly/">
    <title>Plotly</title>
    <dc:date>2016-01-14T14:45:31+00:00</dc:date>
    <link>https://plot.ly/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[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.)]]></description>
<dc:subject>data javascript python tools visualization dataviz charts graphing web plotly plots graphs</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:488f3f0579a8/</dc:identifier>
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<item rdf:about="http://queue.acm.org/detail.cfm?ref=rss&amp;id=2839461">
    <title>How Facebook avoids failures</title>
    <dc:date>2015-11-02T16:30:59+00:00</dc:date>
    <link>http://queue.acm.org/detail.cfm?ref=rss&amp;id=2839461</link>
    <dc:creator>jm</dc:creator><description><![CDATA[Great paper from Ben Maurer of Facebook in ACM Queue.

<blockquote>A "move-fast" mentality does not have to be at odds with reliability. To make these philosophies compatible, Facebook's infrastructure provides safety valves.</blockquote>

This is full of interesting techniques.

* Rapidly deployed configuration changes: Make everybody use a common configuration system; Statically validate configuration changes; Run a canary;  Hold on to good configurations; Make it easy to revert.

* Hard dependencies on core services: Cache data from core services. Provide hardened APIs. Run fire drills.

* Increased latency and resource exhaustion: Controlled Delay (based on the anti-bufferbloat CoDel algorithm -- this is really cool); Adaptive LIFO (last-in, first-out) for queue busting; Concurrency Control (essentially a form of circuit breaker).

* Tools that Help Diagnose Failures: High-Density Dashboards with Cubism (horizon charts); What just changed?

* Learning from Failure: the DERP (!) methodology, ]]></description>
<dc:subject>ben-maurer facebook reliability algorithms codel circuit-breakers derp failure ops cubism horizon-charts charts dependencies soa microservices uptime deployment configuration change-management</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://sysdigcloud.com/aws-storage-latency-sysdig-spectrogram/">
    <title>Visualizing AWS Storage with Real-Time Latency Spectrogram</title>
    <dc:date>2015-01-27T23:33:56+00:00</dc:date>
    <link>http://sysdigcloud.com/aws-storage-latency-sysdig-spectrogram/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[ohhhh this is very nice indeed.  Great viz!]]></description>
<dc:subject>dataviz latency io ops sysdig charts graphs commandline linux</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:395dfb4e90a0/</dc:identifier>
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<item rdf:about="https://medium.com/@sall/using-charted-2149df6bb0bd">
    <title>Charted</title>
    <dc:date>2014-11-24T23:21:57+00:00</dc:date>
    <link>https://medium.com/@sall/using-charted-2149df6bb0bd</link>
    <dc:creator>jm</dc:creator><description><![CDATA[<blockquote>Charted is a tool for automatically visualizing data, created by the
Product Science team at Medium. Give it the link to a data file and Charted returns a beautiful, shareable chart of the data.</blockquote>

Nice, but it's no graphite -- pretty basic.
]]></description>
<dc:subject>charted graphs charts ui open-source medium</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:1afa2f03811d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charted"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ui"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:open-source"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:medium"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://metricsgraphicsjs.org/">
    <title>MetricsGraphics.js - a library based on D3.js, optimized for visualizing and laying out time-series data</title>
    <dc:date>2014-11-14T16:46:40+00:00</dc:date>
    <link>http://metricsgraphicsjs.org/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[<blockquote>MetricsGraphics.js is a library built on top of D3 that is optimized for visualizing and laying out time-series data. It provides a simple way to produce common types of graphics in a principled, consistent and responsive way. The library currently supports line charts, scatterplots and histograms as well as features like rug plots and basic linear regression.</blockquote>

]]></description>
<dc:subject>charts javascript timeline visualization time-series d3</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:e134d06fa9b7/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:timeline"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:time-series"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:d3"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://jpkoning.blogspot.ie/2012/10/data-visualization-breaking-down.html">
    <title>Data visualization: breaking down The Economist's classic chart style</title>
    <dc:date>2014-02-23T22:14:44+00:00</dc:date>
    <link>http://jpkoning.blogspot.ie/2012/10/data-visualization-breaking-down.html</link>
    <dc:creator>jm</dc:creator><description><![CDATA[nice piece of classic graph design]]></description>
<dc:subject>economist graphs dataviz charts design ui</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:3e3d6a192060/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:economist"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:dataviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:design"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ui"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://blockchain.info/charts/miners-operating-profit-margin">
    <title>Bitcoin Mining Operating Margin</title>
    <dc:date>2013-10-17T21:39:59+00:00</dc:date>
    <link>http://blockchain.info/charts/miners-operating-profit-margin</link>
    <dc:creator>jm</dc:creator><description><![CDATA["The graph showing miners' revenue minus estimated electricity and bandwidth costs." -- down to -694% right now, oh dear]]></description>
<dc:subject>bitcoin via:peakscale economics mining profit revenue charts electricity bubble</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:d06a6f0076ee/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:bitcoin"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:via:peakscale"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:mining"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:profit"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:revenue"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:electricity"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:bubble"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://filipivianna.blogspot.ie/2011/11/more-trickery-with-gnuplot-dumb.html">
    <title>gnuplot's dumb terminal</title>
    <dc:date>2013-06-26T16:47:16+00:00</dc:date>
    <link>http://filipivianna.blogspot.ie/2011/11/more-trickery-with-gnuplot-dumb.html</link>
    <dc:creator>jm</dc:creator><description><![CDATA[Turns out gnuplot has a pretty readable ASCII terminal rendering mode; combined with 'watch' it makes for a nifty graphing one-liner]]></description>
<dc:subject>gnuplot plotting charts graphs cli command-line unix gnu hacks dataviz visualization ascii</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:451c73017bad/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:gnuplot"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:plotting"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:cli"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:command-line"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:unix"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:gnu"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:hacks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:dataviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ascii"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.washingtonpost.com/blogs/wonkblog/wp/2013/03/26/21-graphs-that-show-americas-health-care-prices-are-ludicrous/">
    <title>21 graphs that show America’s health-care prices are ludicrous</title>
    <dc:date>2013-03-27T12:01:47+00:00</dc:date>
    <link>http://www.washingtonpost.com/blogs/wonkblog/wp/2013/03/26/21-graphs-that-show-americas-health-care-prices-are-ludicrous/</link>
    <dc:creator>jm</dc:creator><description><![CDATA[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.]]></description>
<dc:subject>healthcare costs economics us-politics world comparison graphs charts data via:hn america</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:357f5606c58c/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:healthcare"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:costs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:economics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:us-politics"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:world"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:comparison"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:via:hn"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:america"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://image.static.fontshop.com/blog/newsletters/may2012b/pdfs/FF_Chartwell-UserManual.pdf">
    <title>FF Chartwell</title>
    <dc:date>2012-05-10T11:36:39+00:00</dc:date>
    <link>http://image.static.fontshop.com/blog/newsletters/may2012b/pdfs/FF_Chartwell-UserManual.pdf</link>
    <dc:creator>jm</dc:creator><description><![CDATA[OpenType font to display charts/graphs using ligatures.  'Designed by Travis Kochel, FF Chartwell is a typeface for creating simple graphs. Driven by the frustration of creating graphs within design applications and inspired by typefaces such as FF Beowolf and FF PicLig, Travis saw an opportunity to take advantage of OpenType technology to simplify the process. Using OpenType ligatures, strings of numbers are automatically transformed into charts. The data remains in a text box, allowing for easy updates and styling. It’s really easy to use; you just type a simple series of numbers like: ‘10+13+37+40’, turn on Stylistic Alternates or Stylistic Set 1 and a graph is automatically created.'  (via Simon)]]></description>
<dc:subject>ligatures via:sboyle fonts hacks charts dataviz ui</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:c8dc607adc8b/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ligatures"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:via:sboyle"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:fonts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:hacks"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:dataviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ui"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="https://github.com/mjdominus/spark/blob/master/spark">
    <title>spark</title>
    <dc:date>2011-12-08T23:24:15+00:00</dc:date>
    <link>https://github.com/mjdominus/spark/blob/master/spark</link>
    <dc:creator>jm</dc:creator><description><![CDATA[sparklines in your terminal window.  Simply give it a comma or space-separated list of data values, and it'll generate an ANSI-graphics sparkline chart.  Brilliant!  (via mjd)]]></description>
<dc:subject>via:mjdominus sparklines charts graphs bash shell terminal cli ansi</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:jm/b:8ffb8057c9fa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:via:mjdominus"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:sparklines"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:bash"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:shell"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:terminal"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:cli"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ansi"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.eirgrid.com/operations/systemperformancedata/systemdemand/">
    <title>Eirgrid System Demand</title>
    <dc:date>2010-08-30T11:39:16+00:00</dc:date>
    <link>http://www.eirgrid.com/operations/systemperformancedata/systemdemand/</link>
    <dc:creator>jm</dc:creator><description><![CDATA['The system demand displayed here represents the electricity production required to meet [Irish] national electricity consumption, including system losses, but net of generators' requirements.  It includes power imported via the interconnector and an estimate of the power produced by wind generators, but excludes some non-centrally monitored generation (i.e. small scale CHP).'  via Juan Flynn]]></description>
<dc:subject>via:juanflynn eirgrid national-grid ireland power charts statistics</dc:subject>
<dc:identifier>https://pinboard.in/u:jm/b:6cf9893b0daa/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:via:juanflynn"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:eirgrid"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:national-grid"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:ireland"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:power"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:statistics"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://www.danvk.org/dygraphs/">
    <title>dygraphs JavaScript Visualization Library</title>
    <dc:date>2009-12-10T23:17:31+00:00</dc:date>
    <link>http://www.danvk.org/dygraphs/</link>
    <dc:creator>jm</dc:creator><description><![CDATA['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]]></description>
<dc:subject>time-series data tsd graphs charts javascript via:reddit dataviz visualization opensource dygraphs</dc:subject>
<dc:identifier>https://pinboard.in/u:jm/b:9980e90a6d9d/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:time-series"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:data"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:tsd"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:via:reddit"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:dataviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:visualization"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:opensource"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:dygraphs"/>
</rdf:Bag></taxo:topics>
</item>
<item rdf:about="http://news.ycombinator.com/item?id=970410">
    <title>Highcharts: JavaScript Charts that don't suck</title>
    <dc:date>2009-12-02T10:39:20+00:00</dc:date>
    <link>http://news.ycombinator.com/item?id=970410</link>
    <dc:creator>jm</dc:creator><description><![CDATA[good HN thread on better charting tools in JS]]></description>
<dc:subject>javascript charts graphs js dataviz hacker-news</dc:subject>
<dc:identifier>https://pinboard.in/u:jm/b:5a4ca0f1346a/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:javascript"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:charts"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:graphs"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:js"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:dataviz"/>
	<rdf:li rdf:resource="https://pinboard.in/u:jm/t:hacker-news"/>
</rdf:Bag></taxo:topics>
</item>
</rdf:RDF>