ABSTRACT
This chapter demonstrates how group_by() could be used to effectively wrap the time series by year, which can be useful for visualizing annual seasonality. It details scatter traces with a mode of "markers". The color argument is meant to control the ‘fill-color’ of a geometric object, whereas stroke is meant to control the ‘outline-color’ of a geometric object. The symbol argument can be used to map data values to the marker.symbol plotly.js attribute. The stroke argument follows the same semantics as color and symbol when it comes to variable mappings and specifying visual ranges. Ribbons are useful for showing uncertainty bounds as a function of x.
