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The Growth of Televisions - Data Analysis with R

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    This video doesn't contain an exhaustive list of everything you
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    might have related to exploratory data analysis. But here are
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    some of the things that we thought about. If you
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    have other ideas, please share your thoughts on the forum. The
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    first thing I notice is that Nathan used histograms to
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    show the distribution of TV sizes in any given year.
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    You can also see that for each year, Nathan included
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    a dark line in the middle. Which represents the median size
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    television for that year. So in 2005, it looks like
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    the median TV size was about 40 inches. So half
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    the TVs were larger and half of them were smaller.
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    Second, Nathan describes where the data originated. In this case he
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    got his data from CNET Reviews. Nathan describes a caveat
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    in the source of his data. He mentioned that the
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    screen sizes are based on the TVs that were on
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    the market at the time and not on how many people
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    actually bought them. The average television size that people
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    bought could be quite different from the average television size
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    on the market. I think the second part is key
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    and is something we should remember when approaching any data
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    set. We should always be skeptical of what story the
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    data may tell. We should ask questions about our data,
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    inspect it and consider its context. Finally, Nathan conducted a
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    time series analysis. So each year after 2002, Nathan indicates
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    whether the median size of televisions increased
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    or whether or not it decreased. In
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    the case of the circle, we know that the television size remained the same.
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    This leaves me wondering what television sizes are doing now. Maybe you can find
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    some data out there and let us know by the end of the course.
Title:
The Growth of Televisions - Data Analysis with R
Video Language:
English
Team:
Udacity
Project:
UD651: Exploratory Data Analysis
Duration:
01:35

English subtitles

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