Experiments to try: 1  Turn on show energy. 2  Reduce elasticity (bounciness) to less than 1, for example 0.9. 3  Make a small gap between each ball by increasing the offset to above zero, for example 0.1. 4  Try using simultaneous collision handling method. 5  Turn on show forces to see the contact forces and collision impacts.
Data cleaning involves the detection and removal (or correction) of errors and inconsistencies in a data set or database due to the corruption or inaccurate entry of the data. Incomplete, inaccurate or irrelevant data is identified and then either replaced, modified or deleted.
Data Scrubbing. AKA: Data scrubbing is an activity in which faulty data is removed from a database. Data can be described as faulty if it is imprecise, unfinished, incorrectly structured, or is a duplicate. Companies who frequently work with digital information will scrub or cleanse their data periodically, using data scrubbing software that verifies data and then corrects flaws by altering or deleting certain elements of faulty data.