This workflow uses a preprocessed portion of the well known "Airline" dataset to generate a pairs plot for meteorological variable using R scripting. A "pairs" plot to shows relationships between combinations of variables in a data set. Here we filter the original data down to just five meteorological variables, aggregated daily: PRCP_Orig: precipitation SNWD_Orig: snow depth SNOW_Orig: snowfall recieved TMAX_Orig: maximum temperature TMIN_Orig: minimum temperature This produces a 5x5 grid. In the lower half of the grid we see scatter plots of variables plotted against one another, with a linear regression line overlaid in red to give an idea of a general trend. The upper half of the grid presents correlation values between the variables. For example, we can see that there is not much relationship between snow depth and snowfall recieved, as the slope of the regression line is small, and the correlation is 0.02. Conversely, we can see that minimum and maximum temperature are closely related, with a large slope, and a high correlation (0.76).
Used extensions & nodes
Created with KNIME Analytics Platform version 4.5.2
By using or downloading the workflow, you agree to our terms and conditions.
Discussions are currently not available, please try again later.