My favorite sensor on the TI SensorTag is the light sensor. It can detect how ambient the light around it is through photo-resistors. We could use one of these on campus to compare different classroom's lighting and student's overall grades. In a spreadsheet we could put the level of light from one to ten, one being less light and gen being the most ambience. We would compare all the periods of the class. And also put the overall class period grade percentage. A scatter plot would help to organize this data since there a many possible variables to plot.
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Data visualization is important to me because it is harder for me to look at a black and white sheet of paper of the data just written there . Charts and graphs are very helpful because you don't need to look at them for long to understand all of the information given. In the first article, they said that the average human attention span is eight minutes. So a quick way for showing an audience data without letting them loosing focus on you is by showing them a graph or a chart. Those are reasons I love data visualization. One way data visualization can made to change a school or a nation is by showing a problem through a graph so others who can actually cope with the problem realize that's it's there and they try to fix it. You could even show a chart of a solution or what the actually change would be if something was done to try to solve them problem. An example could be that a student shows a graph of the decline of a present economy as we continue to use a barter system. But then, as a possible solution the student could make a chart showing better changes if the government used a money economy instead. A student could change a less effective government through those two uses of data visualization. The use and significance of data visualization keeps on expanding. It is possible for you to make a big change through one little graph, so try it!
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May 2018
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