Working with Data

- De-personalise/anonymise the dataset by masking the variable ‘name’ and k-anonymising any fields involving the variable ‘age’.
- Do you think anything needs to be done with outliers (data that does not seem to fit the general pattern of the dataset)?
- Analyse the data to look for a correlation (relationship) between the variables ‘salary’ and ‘age’
Additional Tasks
You may also now wish to go to the data.gov.uk website and search for datasets with ‘time’ and ‘date’ fields.Look at how the ‘time’ and ‘dates’ are recorded in the dataset.Discuss your findings in the comments section below.- How was each recorded?
- Would this make analysis easier or more difficult?
The Power of Data in Health and Social Care

Our purpose is to transform access to education.
We offer a diverse selection of courses from leading universities and cultural institutions from around the world. These are delivered one step at a time, and are accessible on mobile, tablet and desktop, so you can fit learning around your life.
We believe learning should be an enjoyable, social experience, so our courses offer the opportunity to discuss what you’re learning with others as you go, helping you make fresh discoveries and form new ideas.
You can unlock new opportunities with unlimited access to hundreds of online short courses for a year by subscribing to our Unlimited package. Build your knowledge with top universities and organisations.
Learn more about how FutureLearn is transforming access to education