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Posted by on Sep 29, 2012 in Internet |

Trends History: analyzes the Chrome browsing history

Trends History: analyzes the Chrome browsing history

Last week, devote a couple of notes to talk about procrastination and distractions in the fall if we can work with Web applications, ie get to sail or to consult the publications of our friends on Facebook instead of doing homework we have been entrusted. With the idea to impose a discipline and “back on track”, users could use Chrome extensions as Nanny or StayFocusd to apply selective locks (within hours) to web pages that distract us, and focus on our working day and having a virtual supervisor that prevent us distracted.

Another way to understand how we use our time and if, indeed, we are going to analyze properly leveraging our own habits and how we use our devices and the Internet connection. Our browser is storing our activity in the browsing and then we can get a trace of all that we visit, both to retrieve specific pages to ask analyze what websites to which we are devoting more time.

If you use Google Chrome, there is an extension named History Trends with which we can analyze, very thorough, navigation history of Chrome to detect which pages most visited, how many sites we visited on a particular day, locate that day have been more active, the average number of pages visited per day or graphic display with our activity. The more data you have stored in the history better and more accurate the report obtained data that can help us to analyze our productivity or if we have a problem when organizing our work day (giving priority to more leisure than business) .

And how this extension can help us? For one, the plot of the activity that we have based on time of day we can help detect if perhaps too sailed during working hours (which also can marry the representation according to day of the week). If you use this analysis we add the ranking of most visited pages, we can get a good idea of our preferred and if within these there are a number linked to our work (or, on the contrary, after the analysis, we apply a tool to help us avoid distractions by blocking some of the pages of the list).

A curious way of using data browsing history whose results we can be helpful to ask when changes in our work organization and detect any source that might cause problems at work.

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