Data modelling using WEKA and KNIME

I am trying to analyze the information from a dataset which has details of the accidents in UK that occurred between the years 2005 to 2014 and the amount of traffic on major roads during the same years. From the dataset available to me, I am trying to group certain attributes together like road-surface conditions, light conditions, weather conditions and special conditions to find any natural groupings and see how these conditions affect the accident rates and try to see how we can improve these rates. I am also trying to see if the changing traffic flow impacts accidents. I will attach the dataset files. and the link to kaggle ( thats where i found he datasets) LINK: [login to view URL]