A1. Change path to local directory Compute mean, variance and std for all variables Make one plot that contains histograms for the five sensors Wind Direction values Make frequnecy polygons with both five and fifty bins

A2. Make three plots that include the five sensors per boxplot for: Wind Speed, Wind Direction and Temperature PMF, PDF and CDF for the five sensors' temperature values in independent plots Plot pdf and the kernel density estimation for the Wind Speed values

A3. Calculate Correlations between all the sensors for the variables: Temperature, Wet Bulb Globe Temperature (WBGT), Crosswind Speed Make Pandas data frame lenghs equal

A4. Set up time series for temperature Compute correlation between respective sensor pairs