About a year ago, I had a first try with Tableau and some survey data for a university project. Last week, I finally found time to test Tableau with High Energy Physics (HEP) data from CERN’s Proton Synchrotron (PS). Tableau enjoys a stellar reputation among the data visualization community, while the HEP community heavily uses Gnuplot and Python.
I was using an ordinary CSV file as data source for this quick visualization. Furthermore, Tableau can connect to other file types such as Excel, as well as to databases like Microsoft SQL Server, Oracle, and Postgres.
I’m also quite impressed by the ease and speed with which insightful analysis seems to appear out of bland data. Even though your analysis toolchain is script-based (as usual at CERN where batch processing is mandatory), I highly recommend using Tableau for prototyping and for ad-hoc data exploration.
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