The NOAA Global Monitoring Laboratory Mauna Loa record is one of the best-known time series of atmospheric carbon dioxide (CO2). In this session, we use it to demonstrate practical, interactive data exploration tools in JMP, including Graph Builder, fit model, row diagnostics, factor profiling, and the local data filter.
After importing the Mauna Loa monthly CO2 data, we dynamically explore it, changing time windows, filtering, and comparing alternative views. We also annotate the timeline with contemporaneous events (e.g., volcanic eruptions, the COVID-era disruption, and other large-scale changes) as a hypothesis-generation exercise and discuss which conclusions are or are not supported by the data.
Attendees should leave with a curiosity to further explore CO2 data in JMP to determine for themselves if there are noticeable changes in the rate of increase in atmospheric CO2.
