Sharla Gelfand

Sharla Gelfand is an R and Shiny developer and co-organizer of R-Ladies Toronto. Her work focuses on enabling easy access to data and replacing manual, repetitive work with reproducible and future-proof processes in R. Outside of R, Sharla is an eyeshadow aficionado, a shiba inu owner wannabe, a bass player, and a cyclist.

  • Don’t repeat yourself, talk to yourself! Repeated reporting in the R universe - Sharla Gelfand21:01

    Don’t repeat yourself, talk to yourself! Repeated reporting in the R universe - Sharla Gelfand

    If you’re responsible for analyses that need updating or repeating on a semi-regular basis, you might find yourself doing the same work over and over again.

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