Sorry my Spanish is so rusty.
The odds ratio in a logistic regression is expressed as
$$odds-ratio = \frac{(Odds(Y=1|X=1)}{(Odds(Y = 1| X = 0)}$$
where Y is the binary dependent variable and X is the independent variable. An odds ratio of 2 means that the odds of Y=1 are twice those if X=1 than if X=0.
To convert to a probability with a fitted model
pred <- predict(your_model)
prob <- 1/(1 + exp(-pred))
summary(prob)
For your other questions, a reproducible example, called a reprex would be very helpful.