Added README and example csv

README.md

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+## Databricks Incident Analysis
+
+Refer to https://git.kalar.codes/NickKalar/Incident_Report_Generator for more context.
+
+After using pure Python and Pandas to create an Excel Spreadsheet to compute analytics for a CSV  
+file of Support Incidents, I decided that the application I built was too cumbersome and not easily  
+extendable. It would require a lot of fine tuning, and trial and error to do so much as add a new  
+table or graph. Using Databricks, most if not all of the same analytics can be created in a simple  
+and extensible way so that even the least technically savvy can add or manipulate data as needed.
+
+## How to use
+In Databricks, create a catalog named `analytics`, inside that create a schema named `incidents`,  
+and inside that create a volume named `current`. Upload the CSV file here, or create your own with  
+the same headers as the file here.  
+
+Once completed, import the notebook and run the first cell to get the majority of the analytical  
+work down. If the source system can be scheduled to dump a new CSV of incidents into an S3 or  
+similar storage system, this could be updated to run on the same schedule (offset by a few minutes  
+or more) and alert stakeholders on success or the developer/admin on failure.