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Showmans

Re the bottom chart: yes, the small multiples are interesting, but the usability/readability could be improved by a couple of fairly simple adjustments. As your introductory paragraph suggests, one of the key distinctions of interest is whether people COMMENT or LIKE a page. The other two dimensions of interest (gender, age groups) can be grasped by a user fairly easily, but the comment/like distinction is more difficult to determine because the labels are (1) sideways and (2) on the last place that people tend look when reading a page or chart: the right-hand vertical axis. It would help people decipher the chart more easily if the "Comment/Like" labels were on the left vertical axis, and if they were written horizontally. Small quibble - it's still a good chart.

Jörgen Abrahamsson

The last chart could be a scatterplot instead. We can link the dots by the order of age and use color for gender.
There would be 12 dots and I think they will show a nice, clear pattern.
The age data is problematic here, because the classes are diffferent in size.

Anne

I really don't understand your explanation on the Page Posts by Competition graph. It seems like the scale on the x axis is Average (Number?) of Page post with SE bars and the y axis is just competitive and uncompetitive. This graph does not seem to say anything about the number of competitive or uncompetitive races as you state. It just seems to be saying the the number of comments are higher for toss up races vs uncompetitive races as would be expected.

Or am I missing something?

I love your blog, by the way. I'm working on my data visualization skills and your explanations really help me understand what works and what doesn't work.

jlbriggs

@anne - the error bars give you an indication of the sample size.

So smaller error bars - as in the 'Less Competitive' category - tell you that there were more data in that category.

beli followers instagram

Yes, it is true. I see that facebook become a major media campaign politicians and future leaders in an area. Other social media is not very popular to campaign

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Marketing analytics and data visualization expert. Author and Speaker. Currently at Columbia. See my full bio.

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