In recent years, charting libraries have evolved following two main directions. First, they provided users with as many features as possible and second, they added high-level APIs to easily create the most frequent visualizations. RStudio, with its addins, offers the opportunity to further ease the creation of common plots.

Born as an internal project in xtream, tsviz is an open-source Shiny-based addin which contains powerful tools to perform explorative analysis of multivariate time series.

Its usage is dead simple. Once launched, it scans the global environment for suitable variables. You chose one, and several plots of the time series are shown. Line charts, scatter plots, autocorrelogram, periodogram are only a few examples. Interactivity is achieved by the miniUI framework and the adoption of Plotly charts.

Its wide adoption among our customers and the overall positive feedback we received demonstrate how addins, usually thought of as shortcuts for developers, may provide effective support to data scientists in performing their routine tasks.

Delivedered at erum 2020, 12-20 June 2020, Milan, Italy
Recorded session: https://youtu.be/t8PZbP5b8EM
Reference post: https://towardsdatascience.com/introducing-tsviz-interactive-time-series-visualization-in-r-studio-a96cde507a14?gi=ac1810e1f6df
Reference repository: https://github.com/xtreamsrl/tsviz