How to check the randomness or the distribution of an attribute in a dataset?
One option is to check and compare feature statistics across the datasets: mean, variance (or standard deviation), kurtosis, and skewness.

If you prefer a more visual approach (I do!), you can plot density or histograms of each feature, creating overlays for each dataset.

pandas can be useful in calculating the statistics; for visualisation I like using seaborn.