{"id":1945,"date":"2013-03-19T10:44:55","date_gmt":"2013-03-19T15:14:55","guid":{"rendered":"http:\/\/www.danielpradilla.info\/blog\/?p=1945"},"modified":"2013-04-29T04:06:57","modified_gmt":"2013-04-29T08:36:57","slug":"sparklines-datawords","status":"publish","type":"post","link":"https:\/\/www.danielpradilla.info\/blog\/sparklines-datawords\/","title":{"rendered":"Sparklines and datawords"},"content":{"rendered":"

\"11_sparklines\"<\/a><\/p>\n

We have seen a lot of sparklines<\/a> over the last few years. They’re one of the most used high-density charts out there and, if applied properly, they can be a killer feature of any dashboard or report.<\/p>\n

The sheer amount of information that can be condensed into sparklines makes them a viable resource to provide a quick at-a-glance story of the evolution of a measurement.The best are the ones which provide additional context, like the normal range, filled with gray in the following charts:<\/p>\n

\"sparklines\"<\/a><\/p>\n

But it wasn’t until I read Beautiful Evidence<\/a> by sparklines inventor Edward Tufte, that I discovered that these charts were originally designed to be inserted within a text.<\/strong>\u00a0Becoming datawords<\/em>, a beautiful term:<\/p>\n

\"dataword\"<\/a><\/p>\n

 
\nIf they’re not abused, datawords can be extremely helpful to illustrate points made in the text.<\/p>\n

This reminded me of the\u00a0explorable explanations and reactive documents by Bret Victor<\/a>.\u00a0A very clever way of inserting what-if explorations within a text. Test it below by clicking and dragging over the number of cookies:<\/strong><\/p>\n

 <\/p>\n

<\/p>\n

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