The Covid19 pandemic had, and unfortunately still have, a significant impact on most of the major industries. While for some sectors, the impact was positive (such as online retails, internet and steaming providers, etc.), it was negative for others (such as transportation, tourism, entertainment, etc.). In both cases, we can leverage time series modeling to quantify the effect of the Covid19 on the sector.

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Happy to announce (in a one month delay) a new package - sfo, which provides monthly statistics of the air passenger traffic at San Francisco International (SFO) airport. The package is available on CRAN. Additional information available: Source code - https://github.com/RamiKrispin/sfo Package site - https://ramikrispin.github.io/sfo/index.html Vignettes - https://ramikrispin.github.io/sfo/articles Data source - San Francisco Open Data portal The package provides the following two datasets:

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Rami Krispin

Time series analysis, forecasting, machine learning, and data visualization

Data scientist

Cupertino, CA