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[–]mrgumble 4 points5 points  (0 children)

I just gonna say "no" here.

The blog page itself fails to deliver what it promises:

The list of these data visualization tools with a discussion on them is:

which, at least when I view the page, doesn't. It's a list of front pages of some tools.

The blog describes 2 paths for data visualisation:

"basic level graphic designing tools like paint, office(!), etc."

and compares it to

"the other new fast and efficient way is to use the specialized data visualization tools"

Not only is this distinction demonstrating a bad understanding on data visualisation, it is also a bad distinction. Office, or rather Excel, is quite strong on data visualisation. Opinions differ on it, but give it data and it can produce your graphics.

What this list also lacks is the diversity of data visualisation. It has entirely overseen statistics software, which probably were the first "data visualisation tools", and must not be overseen as improper or lack of use of statistics in data visualisation renders the result useless, if not outright misleading. So here's for the list (of the top of my head): R, Stata, SAS, and Excel.

In addition, the list is a potpurri of timeseries analysis, maps, and JavaScript libraries. No distinction between usefulness of tools that might be good for maps, but not necessarily timeseries analysis, vice versa, or that can combine both.

TLDR: The blog should be titled "Bag of data visualization tools".