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John Jensen downloaded the top X mobile sites using various UAs to work out the effect of various changes; Brad Lassey proposed a matrix of possibilities and I added the one from this proposal and a few variants of it. His results are [https://docs.google.com/spreadsheet/ccc?key=0AushOZLFQoR0dGQ0Ry1HYmZGUEg5dXJDYUstS2dwcWc&hl=en_GB#gid=0 available as a Google spreadsheet]. | John Jensen downloaded the top X mobile sites using various UAs to work out the effect of various changes; Brad Lassey proposed a matrix of possibilities and I added the one from this proposal and a few variants of it. His results are [https://docs.google.com/spreadsheet/ccc?key=0AushOZLFQoR0dGQ0Ry1HYmZGUEg5dXJDYUstS2dwcWc&hl=en_GB#gid=0 available as a Google spreadsheet]. | ||
When reviewing the spreadsheet, especially the first tab, remember that | |||
* the numbers presented are averages, calculated over a thousand websites, | |||
* that they measure [http://docs.python.org/library/difflib.html#difflib.SequenceMatcher.ratio difflib similarities], not "percentages" | |||
* pay attention to the "coefficient of variation" or CoV, at the far right side of the first tab. This can loosely be described as a measure of how "spread out" the results are. In an ideal world, we would want to choose a UA that has a high mean score and a low CoV, indicating that most sites send mobile-enabled HTML to it and that those that do not send markedly different HTML. |