bk75r / phe_nasss_cardiac Goto Github PK

Gaps still present, despite spline fit code. Fill gaps, especially in baseline data. This is especially noticeable in 2019 and 2022 data.

PHS_NASSS_Cardiac_WebPlotDigitizerSaveData.R uses (for example)

cardiac.2020 %>%
  summarise(Daily = sum(SevenDayAverage,na.rm = TRUE),Baseline = sum(Baseline))

This just sums the data extracted using WebPlotDigitizer - this isn't the full sum of calls.

The code should interpolate (spline?) between extracted points to find full daily calls for baseline and 7 day average.

Comparing each report's full dataset for each year shows further gaps at the start of 2020 and 2021. Find other reports and extract January data to fill gaps and find complete yearly calls for 2020 and 2021.