Starting with the 2016 Tempestry Project, temperature blankets (and other textile-crafted objects) have been the best-known example of data visualization with textiles. Temperature data is well-archived, easily accessible, and seems alluringly straightforward. But especially if you’re using daily temperature reports and creating your data set day by day, you might want to think about what value(s) you want to capture. Highs? Lows? Both? The “actual temperature”, or one of the other values that takes into consideration other factors and might be more representative of how you experienced it (e.g. humidity, wind chill)?
What story are you trying to tell with the data? Is it about the temperature in a specific place all year, or your year as experienced through temperature? If you live somewhere with a cold winter, and you take a vacation in the middle of the winter to somewhere tropical, do you keep recording the values from back at home, or the warmer temperatures of your vacation destination, or both?