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.
Given that cleaning data sources is an expensive process, preventing dirty data to be entered is obviously an important step to reduce the cleaning problem. This requires an appropriate design of the database schema and integrity constraints as well as of data entry applications. Also, the discovery of data cleaning rules