Year 9 - Computing
Data cleansing
Using data science
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This pupil-friendly study guide includes a unit summary, clear notes, common mistakes, and quick questions with answers.
Year 9 - Computing
Using data science
In this unit pupils will discover how to use data to investigate problems and make changes to the world around them. Pupils will be exposed to both global and local data sets and gain an understanding of how visualising data can help with the process of identifying patterns and trends.
You will learn to describe the need for data cleansing and apply data cleansing techniques to a data set.
Data cleansing involves detecting and correcting, or removing, corrupt or inaccurate data. Data cleansing is important because real-world data is often messy, with errors or missing information.
the process of detecting and correcting, or removing, corrupt or inaccurate data from a data set. Add one real device or system example to prove understanding.
Mistake: If you have missing data and cannot find the original source, there is nothing you can do. Correction: You could look at similar data and generate an average value to insert. For example, if the zoo is missing a weight for a lion, they could calculate the average weight of the other lions and enter this.
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