@bodhisat13 wrote:
Seeking insight from experienced practitioners out there. I have a very complete dataset from Agriculture - specifically strawberry, raspberry and blackberry growing/farming. There is sales, production, expense and cultural practice (fertilizer. pesticide applications etc) data. In addition to demonstrating new visualizations, I want to work towards demonstrating data science techniques with the dataset; visualizations in R and ML. What would be effective questions to ask/consider to demonstrate more predictive techniques such as regression, R plotting and ML? I am new to predictive concepts and would like to start working with the data outside of a traditional "BI" context. I have ideas of such questions but not sure if I am in the ballpark.
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