Headline calculation summary
The raw analysis file included the drop after GP weekend. This page also includes the inverse calculation: how much higher the GP weekend is compared with the following non-race weekend.
Race-weekend premium chart
This shows the rise calculation against the following non-race weekend, which is often clearer for headlines.
Source row counts from backend CSV
These rows come directly from the backend raw data CSV and are grouped by source platform and stay window.
Final calculated data
Clean journalist-facing summary table with both percentage directions: price drop after the GP and race-weekend rise versus the following weekend.
Event comparison data
Additional comparison rows from the analysis CSV.
Uploaded analysis CSV as HTML
This mirrors the smaller analysis CSV in an HTML table, including section rows and the original uploaded percentage fields.
Backend raw data CSV as HTML
Searchable, paginated raw backend data. This keeps platform, date window, listing/source name, USD cost and source URL visible so journalists can see where the accommodation data came from.
Methodology and calculation notes
Written for transparency rather than over-claiming. This page does not invent extra sourcing beyond the uploaded CSV fields.
Calculation formulas
Drop after GP (%) = ((Following weekend average − GP weekend average) / GP weekend average) × 100
Race-weekend rise (%) = ((GP weekend average − Following weekend average) / Following weekend average) × 100
Dollar difference = GP weekend average − Following weekend average
Data structure
- Final Data uses the analysis CSV averages and adds the rise calculation.
- Analysis CSV displays the uploaded summary CSV as an HTML table.
- Backend Raw Data displays the larger backend CSV with platform and URL fields.
- Accommodation costs are shown in USD, as provided in the uploaded data.