A useful thing about dashboards is that you can provide context through text. We’re pretty familiar with the palmerpenguins data, but we can explore covid data more! Shown below is a list of unique signals, which each indicate their own subset of data. As an exploratory analysis, we will analyze a time course of Covid testing in PA, revisit an old trend between % displaying CLI and % wearing masks, and observe the relationship between % displaying CLI and % tested for Covid on Christmas. While these graphs do not share the same variables, the purpose of this dashboard is to illustrate the maneuverability of this dataset and the multitude of relationships that can be examined!

 [1] "smoothed_cli"                     "smoothed_ili"                    
 [3] "smoothed_wearing_mask"            "smoothed_tested_14d"             
 [5] "smoothed_anxious_5d"              "smoothed_depressed_5d"           
 [7] "smoothed_felt_isolated_5d"        "smoothed_worried_finances"       
 [9] "smoothed_travel_outside_state_5d" "smoothed_work_outside_home_1d"   
[11] "smoothed_shop_1d"                 "smoothed_restaurant_1d"          
[13] "smoothed_spent_time_1d"           "smoothed_large_event_1d"         

Column

Time Course of Covid Testing Rate in PA

Column

Relationship between Percent Displaying Covid-Like Illness by Percent Wearing Masks

Percent Displaying CLI by Percent Tested Within the Last 2 Weeks on Christmas