finding which distributions are good fits for three different CSV files containing data on how long it takes for different dog breeds to be rehomed.

Hi, I have three CSV files by different breed types, with data about, how much time does it take for the dog to get rehomed – (rehomed column). I want you to check based on the graphical summaries, try to propose distributions that might be reasonably used to model rehoming time for each breed (each csv file). You can try checking the CSV file with Normal, Poisson, Exponential, Uniform, Binomial and Geometric Distribution and try find if anyone of these distribution is a good fit or not. If these Distribution are not good fit, explain me why they are not a good it, for each any every Distribution for all three CSV file. You can check the suitability of any proposed models for the csv file with these testing including qq plot, Histogram, CDF, Hypotheses testing, Kolmogorov-Smirnov test, Shapiro-Wilk test, Chi-squared goodness of fit tests. You can also test with other testing methods too. You have provide me with the R programming code and which model is used for that CSV file including why that model is a good fit model to the csv file or why all the above mentioned models are not good fit models for our individual csv file. You have to do that for all three files.