Battery Tracking for Personal Analytics Laptop
Astrophysicist James Davenport (James Davenport) in his free time is interested in various data analysis projects.
A year ago, he published statistics on the battery status of MacBook Air 2013 laptops, MacBook Air 2012 and MacBook Pro 2009, which he worked with over the past two years. The CoconutBattery program helps to take readings every minute .
Now it's time to update the statistics .
')
James notes with satisfaction that the MacBook Air 2013 battery lasts much better than in the MacBook Air 2012. But it's not about that at all.
As a real scientist, James Davenport in every way analyzed the array of information collected. For example, I applied the battery statistics for the time of day to see what time he uses the computer most often.
The large center gap is due to his summer internship at Microsoft Research. And the author found that the computer wakes up a couple of times every night.
Statistics on days of the week with a breakdown by years (blue and red) showed James that he began to work less in the evenings in the second year, when he changed jobs. So life has become a little better!
Indeed, personal analytics of digital data allows you to objectively evaluate your life, which is impossible to do "by eye". The first was confirmed by Stephen Wolfram himself, who keeps an archive of emails since 1989, keeps statistics on keystrokes since 2002, phone calls, meetings, editing time for files of different types since 1980, etc.
Stephen Wolfram
Such a personal analysis can be done by everyone using Wolfram Alpha Pro's special search engine features .
Returning to Davenport, he wondered what his most productive day of the week was.
The result was surprising, because James always considered Monday as his best day. But it turned out that this is Tuesday. However, the first days of the week are still leading by a large margin.
But most of the information about the life of a scientist shows a graph where information about the current charge level is superimposed on the battery life. “This is a true imprint of my life,” he says.
The color corresponds to the charge level: from critical (red) to maximum (purple) through orange, yellow, green and blue.
First, it is clear that in the mornings the laptop owner likes to sit in a cafe: you can see how the battery is slowly discharged. The length of each bar shows how long he spent in a cafe.
It would be nice to trace the dependence of labor productivity per day, depending on the duration of sitting in a cafe, but here Davenport does not have enough data, because he is not yet as experienced in quantifying his own life as Stephen Wolfram.
A year ago, he published statistics on the battery status of MacBook Air 2013 laptops, MacBook Air 2012 and MacBook Pro 2009, which he worked with over the past two years. The CoconutBattery program helps to take readings every minute .
Now it's time to update the statistics .
')
James notes with satisfaction that the MacBook Air 2013 battery lasts much better than in the MacBook Air 2012. But it's not about that at all.
As a real scientist, James Davenport in every way analyzed the array of information collected. For example, I applied the battery statistics for the time of day to see what time he uses the computer most often.
The large center gap is due to his summer internship at Microsoft Research. And the author found that the computer wakes up a couple of times every night.
Statistics on days of the week with a breakdown by years (blue and red) showed James that he began to work less in the evenings in the second year, when he changed jobs. So life has become a little better!
Indeed, personal analytics of digital data allows you to objectively evaluate your life, which is impossible to do "by eye". The first was confirmed by Stephen Wolfram himself, who keeps an archive of emails since 1989, keeps statistics on keystrokes since 2002, phone calls, meetings, editing time for files of different types since 1980, etc.
Stephen Wolfram
Such a personal analysis can be done by everyone using Wolfram Alpha Pro's special search engine features .
Returning to Davenport, he wondered what his most productive day of the week was.
Mon: 18.47%
W: 18.68%
Wed: 16.70%
Thurs: 17.43%
Fri: 13.67%
Sat: 7.01%
Su: 8.01%
The result was surprising, because James always considered Monday as his best day. But it turned out that this is Tuesday. However, the first days of the week are still leading by a large margin.
But most of the information about the life of a scientist shows a graph where information about the current charge level is superimposed on the battery life. “This is a true imprint of my life,” he says.
The color corresponds to the charge level: from critical (red) to maximum (purple) through orange, yellow, green and blue.
First, it is clear that in the mornings the laptop owner likes to sit in a cafe: you can see how the battery is slowly discharged. The length of each bar shows how long he spent in a cafe.It would be nice to trace the dependence of labor productivity per day, depending on the duration of sitting in a cafe, but here Davenport does not have enough data, because he is not yet as experienced in quantifying his own life as Stephen Wolfram.
Source: https://habr.com/ru/post/231395/
All Articles