|What does the data look like?
||Static dataset/table/CSV that represents observations or an experiment
||Constantly changing (new records, changing schema) with dozens (if not hundreds) of datasets to work with that represent business operations
|How is it stored?
||Stored in a CSV
||Stored as objects (tables/views) in a database
|What languages and tools used to analyze it?
||Analyzed with R, Pandas, SPSS
||Languages: SQL Tools: git, the command line, dbt, Airflow, VSCode, etc etc.
|What do analysts do?
||So much! Version control, testing, modeling, requirements gathering, getting buy-in