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 (data cleansing) Share this item with your network: Data scrubbing, also called data cleansing, is the process of amending or removing data in a database that is incorrect, incomplete, improperly formatted, or duplicated. An organization in a data-intensive field like banking, insurance, retailing, telecommunications, or transportation might use a data scrubbing tool to systematically examine data for flaws by using rules, algorithms, and look-up tables.