This post is a brief ode to the spreadsheet, which paved the way for many to learn about how to organize information, collaborate, and analyze data. Spreadsheets played and/or still play a substantial parts of our analytical life. Data scientists can get a little smug in associating with technical tools, often inclined to discuss the latest and greatest. However, spreadsheets mostly likely still rule part of the workflow. It may be quickly inspecting the data, the best way to share information with non-technical people, or an accessible way to check results.
Gone and vanishing are the days that data enthusiasts occupy dark quarters, not seeing the light of day or speak a cryptic language. Data science, the current fancy term for data analytics, mining, and predictive algorithms are giving data nerds more options. But even if data scientists are highly desired, where should they actually work and where can they thrive in the workplace?