Making sense from available data is a real challenge. With ever-increasing numbers of sensors and connected devices such as IoTs, knowing how to compare the collected data with other sources becomes essential to ensure that the data at hand is useful and a true representation of the physical world. Undoubtedly, the temperature is one of the most simple environmental parameters that both simple to measure, abundant options for sensors, and wide usages to great impacts. In this post, I presented my analysis to data measured by low-cost sensor, forecasting model, measurement by an official station, and reanalysis products.