[Turing Data Story] Paying the rent

[edwardchalstrey1]

Story description

I'd like to write a story about how the rental market, in particular rooms for rent, have changed in terms of availability and price over years/ decades and show the struggle people are facing in London, which is of particular relevance to younger employees and students at Turing.

There is some data from spareroom.co.uk in this article and we could also look at Census 2021 data - I'm sure it will be easy to find other datasets. Perhaps we could also integrate https://colouringlondon.org/ data somehow or other Turing projects?

Ethical guideline

Ideally a Turing Data Story has these properties and follows the 5 safes framework.

• [ ] The analysis you produce is openly available and reproducible.
• [ ] Any data used are open and have an explicit licence, provenance and attribution.
• [ ] Any data used are not personal data (i.e. the data is anonymous or anonymised).
• [ ] Any linkage of datasets in your data story does not lead to an increased risk of the personal identification of individuals.
• [ ] The Story must be truthful and clear about any limitations of analysis (and potential biases in data).
• [ ] The Story will not lead to negative social outcomes, such as (but not limited to) increasing discrimination or injustice.

Current status

• [ ] Scoping of the story
• [ ] Write story outline
• [ ] Add material to the story notebook
• [ ] Combine materials into a readable story
• [ ] Proofread
• [ ] Request reviews
• [ ] Address reviews
• [ ] Merge to master branch.

Updates

[edwardchalstrey1]

Friday 18th Nov hackmd