Visualizing a bounded variable in the interval [0,1] against a binary variable

[Varsha Vaishnav]

What will be the best way to visualize a bounded variable in the interval [0,1] against a binary variable?

Example dataset:

* Example generated by -dataex-. To install: ssc install dataex
clear
input float c_vector byte livestock_ownership
        0 1
.11111111 1
.05555556 1
        0 1
        0 1
        0 1
        0 1
.05555556 1
.05555556 1
.22222222 1
.11111111 0
        0 1
.16666667 1
.05555556 1
.05555556 1
.05555556 1
 .3333333 1
.05555556 1
.11111111 1
.22222222 1
.11111111 0
.22222222 1
 .3333333 1
.44444445 1
.11111111 1
        0 1
.16666667 0
.05555556 1
.22222222 1
        0 1
        0 0
        0 1
        0 0
        0 0
        0 1
        0 1
.05555556 0
end
label values livestock_ownership HV246
label def HV246 0 "no", modify
label def HV246 1 "yes", modify

Thanks.

[Nick Cox]

I would recommend a quantile or dot or strip plot.

The detail that you have some exact zeros is likely to be important. On the other hand the outcome looks like counted fractions m/n and the spikey nature of the distribution may be just noise.

[Varsha Vaishnav]

Thank you, Nick.