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Categorical (also called nominal) data can take on a limited number of possible values called categories. Categorical values "label", they do not "measure". Please use [ordinal-data] tag for discrete but ordered data types.
5
votes
Accepted
Best way to represent x attributes in y categories in same chart over time series
The values of x and y will drive some of the choices. Just to make things real, here are some examples with your example values of 2 and 3 along the lines of Nick's comments. That is, you're comparing …
4
votes
Accepted
Effective data visualizations for large numbers of classes
If you can look at only one number per category, there are some bar chart extensions to handle 100s of categories: wrapped bars, piled bars, packed bars, and combined "other" bars. Additionally treema …
1
vote
Nominal data appear better on bar chart and Interval data on line-chart
Here's a small example of three different chart types:
stacked bars, side-by-side bars, and overlaid lines.
All three are showing the same 6 Y values (3 red and 3 blue), but each has its own conno …
15
votes
How can you visualize the relationship between 3 categorical variables?
This is an interesting data set to try to represent graphically, partly because it's not really categorical. Both 3-level factors are ordinal and there is possible interplay between them (presumably, …
2
votes
One way analysis of continuous variables for classification (Visualising)
This may seem like you're answering your own question because all of the following sketches were mentioned by you in the comment to another answer.
Logistical Regression seems to be the most analytic …
5
votes
Help creating a chart to show categorical data over time
As always, the best visual(s) depends on what question(s) you want to answer. Possible questions that would lead to different visuals:
Is a guard's pattern is predictable?
Is a guard stationary too …
5
votes
How to visualize classifier output?
Since the question is looking for suggestions, here are a few possibilities, without claiming any as "best".
Building on Gung's heatmap, we can add marginal values, such as showing the percent correc …