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><channel><title>Datavisualization.ch &#187; LineChart</title> <atom:link href="http://datavisualization.ch/tag/linechart/feed/" rel="self" type="application/rss+xml" /><link>http://datavisualization.ch</link> <description>Datavisualization.ch is the premier news and knowledge resource for data visualization and infographics.</description> <lastBuildDate>Thu, 10 May 2012 07:22:40 +0000</lastBuildDate> <language>en</language> <sy:updatePeriod>hourly</sy:updatePeriod> <sy:updateFrequency>1</sy:updateFrequency> <generator>http://wordpress.org/?v=3.3.2</generator> <item><title>Highcharts, Impressive Javascript Library</title><link>http://datavisualization.ch/tools/highcharts-javascript-library/</link> <comments>http://datavisualization.ch/tools/highcharts-javascript-library/#comments</comments> <pubDate>Fri, 04 Dec 2009 09:01:22 +0000</pubDate> <dc:creator>Benjamin Wiederkehr</dc:creator> <category><![CDATA[Tools]]></category> <category><![CDATA[AreaChart]]></category> <category><![CDATA[BarChart]]></category> <category><![CDATA[Interactive]]></category> <category><![CDATA[JavaScript]]></category> <category><![CDATA[LineChart]]></category> <category><![CDATA[Pie Chart]]></category> <category><![CDATA[Scatterplot]]></category> <category><![CDATA[StackedBarChart]]></category><guid
isPermaLink="false">http://datavisualization.ch/?p=4153</guid> <description><![CDATA[Torstein Hønsi from Vevstein Web has created a really impressive Javascript charting library. Highcharts allows a developer to easily include interactive charts in websites or webapplications. Highcharts currently supports line, spline, area, areaspline, column, bar, pie and scatter chart types.]]></description> <content:encoded><![CDATA[<a
href='http://datavisualization.ch/tools/highcharts-javascript-library/' title='Highcharts, Impressive Javascript Library' class='share_image'><img
src='http://datavisualization.ch/wp-content/uploads/2009/12/highcharts_01.png' title='Highcharts, Impressive Javascript Library' alt='Highcharts, Impressive Javascript Library' /></a><p>Torstein Hønsi from <strong>Vevstein Web</strong> has created a really impressive Javascript charting library. <a
title="Highcharts javascript chart library" href="http://www.highcharts.com/">Highcharts</a> allows a developer to easily include interactive charts in websites and webapplications. It currently supports line, spline, area, areaspline, column, bar, pie and scatter chart types.</p><p>The graphics are rendered using the <strong>Canvas</strong> tag or occasionally <strong>SVG</strong> &amp; <strong>VML</strong>. The supported browsers are Safari, Firefox, Opera, Internet Explorer+ and it also runs great on the <strong>iPhone</strong>. The default skin for the visualizations does quite a good job regarding readybility and clarity. Unfortunately there are some Powerpoint-esque skins as well (please, just cut them out). One really nice feature is the zoomable timeseries, which I haven&#8217;t seen before in <a
title="16 Javascript Libraries" href="http://www.datavisualization.ch/tools/13-javascript-libraries-for-visualizations">any Javascript library</a>.</p><p><a
title="Area-Spline Demo" href="http://www.highcharts.com/demo/?example=areaspline&amp;theme=default"><img
class="alignnone size-full wp-image-4156" title="highcharts_02" src="http://www.datavisualization.ch/wp-content/uploads/2009/12/highcharts_02.png" alt="highcharts_02" width="710" height="168" /></a></p><p><a
title="Zoomable Timeseries" href="http://www.highcharts.com/demo/?example=line-time-series&amp;theme=default"><img
class="alignnone size-full wp-image-4157" title="highcharts_03" src="http://www.datavisualization.ch/wp-content/uploads/2009/12/highcharts_03.png" alt="highcharts_03" width="710" height="168" /></a></p><p>The library is <strong>free</strong> to use for non-commercial applications and there are <strong>commercial licenses</strong> as well. I look foreward to see some real-life examples of it but the <a
href="http://www.highcharts.com/demo/">Demo Gallery</a> looks good so far.</p> ]]></content:encoded> <wfw:commentRss>http://datavisualization.ch/tools/highcharts-javascript-library/feed/</wfw:commentRss> <slash:comments>7</slash:comments> </item> <item><title>Google: Zeitgeist 2009</title><link>http://datavisualization.ch/datasets/google-zeitgeist-2009/</link> <comments>http://datavisualization.ch/datasets/google-zeitgeist-2009/#comments</comments> <pubDate>Wed, 02 Dec 2009 21:00:03 +0000</pubDate> <dc:creator>Benjamin Wiederkehr</dc:creator> <category><![CDATA[Datasets]]></category> <category><![CDATA[DataMining]]></category> <category><![CDATA[Google]]></category> <category><![CDATA[LineChart]]></category><guid
isPermaLink="false">http://datavisualization.ch/?p=4145</guid> <description><![CDATA[The year 2009 comes to an end and a lot, really a lot of queries have been gone through the google search box. The kind folks at Google take a look back at the happenings throughout this year. They do this as anyone would expect them to: collecting data!]]></description> <content:encoded><![CDATA[<p>The year 2009 comes to an end and a lot, really a lot of queries have been gone through the google search box. The kind folks at Google take a look back at the happenings throughout this year. They do this as anyone would expect them to: <strong>collecting data</strong>!</p><p><a
title="Google Zeitgeist 2009" href="http://www.google.com/intl/en/press/zeitgeist2009/index.html" target="_blank"><img
class="border alignnone size-full wp-image-4148" title="chart_switzerland" src="http://www.datavisualization.ch/wp-content/uploads/2009/12/chart_switzerland.png" alt="chart_switzerland" width="702" height="320" /></a></p><p><a
href="http://www.google.com/intl/en/press/zeitgeist2009/index.html" target="_blank">Google Zeitgeist</a> are a set of lists ranking keywords by popularity from 1 to 10. Fastest rising and fasted falling are collections of keywords with big differences from 2008 to 2009. Right now there&#8217;s only the data as written text, but this could quickly be transformed into a visualization.</p><blockquote><p>To compile the 2009 Year-End Zeitgeist, we studied the             aggregation of billions of queries people typed into             Google search this year. We use data from multiple             sources, including Insights for Search, Google Trends and             internal data tools. We also filter out spam and repeat             queries to build out lists that best reflect &#8220;the spirit             of the times.&#8221;</p></blockquote><p>So get your tools ready and why not surprize us with your vision how this data could be best visualized.</p> ]]></content:encoded> <wfw:commentRss>http://datavisualization.ch/datasets/google-zeitgeist-2009/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> <item><title>Analysing Jobless Rate with Moving Graph and Adapting Grid</title><link>http://datavisualization.ch/showcases/analysing-jobless-rate-with-moving-graph-and-adapting-grid/</link> <comments>http://datavisualization.ch/showcases/analysing-jobless-rate-with-moving-graph-and-adapting-grid/#comments</comments> <pubDate>Tue, 10 Nov 2009 00:45:06 +0000</pubDate> <dc:creator>Benjamin Wiederkehr</dc:creator> <category><![CDATA[Showcases]]></category> <category><![CDATA[Economics]]></category> <category><![CDATA[Flash]]></category> <category><![CDATA[LineChart]]></category> <category><![CDATA[Timeline]]></category><guid
isPermaLink="false">http://datavisualization.ch/?p=3958</guid> <description><![CDATA[The Interactives Team from the New York Times did it again: Shan carter, Amanda Cox and Kevin Quealy created an interactive infographic analysing the unemployment rate in the USA over the past 33 months.]]></description> <content:encoded><![CDATA[<p>The Interactives Team from the New York Times did it again: Shan carter, Amanda Cox and Kevin Quealy created an <a
href="http://www.nytimes.com/interactive/2009/11/06/business/economy/unemployment-lines.html?hp">interactive infographic</a> analysing the <strong>unemployment</strong> rate in the USA over the past 33 months. The Flash based application lets the user filter the data by race, gender, age and education level. Once you start to play with the visualization it becomes obvious that we have to be cautious when talking about this topic. The rate varies a lot depending on those factors.</p><p>To clearly illustrate the differences, the graph doesn&#8217;t simply gets highlighted. Instead the selected graph <strong>moves</strong> and <strong>changes its shape</strong>, thus making it easier to see the actuall movement. If a curve with abnormal values, higher or lower than the majority, is selected the grid <strong>adapts</strong> and <strong>scales</strong> down or up.</p><p><a
href="http://www.nytimes.com/interactive/2009/11/06/business/economy/unemployment-lines.html?hp"><img
class="alignnone size-full wp-image-3964" title="nyt_unemployment_01" src="http://www.datavisualization.ch/wp-content/uploads/2009/11/nyt_unemployment_01.png" alt="nyt_unemployment_01" width="710" height="373" /></a></p><p>Excellent piece of work on the interaction model as well as on the visual aesthetics.</p> ]]></content:encoded> <wfw:commentRss>http://datavisualization.ch/showcases/analysing-jobless-rate-with-moving-graph-and-adapting-grid/feed/</wfw:commentRss> <slash:comments>0</slash:comments> </item> </channel> </rss>
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