IoT_CDPC_Guangzhou_2023_Daily_Data_With_Variation

The core data in this document originates from the following three monthly data tables, which record the monthly average concentrations of PM10, PM2.5, and water usage, respectively. I used these monthly values as the daily values for each day within the corresponding month to generate a 360-day daily average dataset. This method is commonly used in academic data archiving to construct finer-grained time series from monthly data.