Summary: This visualization shows the average response time
in minutes for all calls that the SF Fire Department responded to in January 2019.
Interpretation: In
visualization 1 you can see the four most common incident calls which were: Medical Incident, Alarms, Structure fire, and
, also Structure Fire. If you select the "View Green Bar Range" option followed by the "View Four Most Common Calls" selection
you can see that the four most common calls are on the lower end in average response time. Based off the data, the SF
Fire Department appears to have lower response times on the four most common call types. The fire department could
could be prioritizing these calls or simply improving their efficiency on the most common calls. This graph tells
us that they are aware of the most common calls and are quicker in responding and arriving on scene.
Interactivity: Visualization two has three buttons: Reset Visualization, View Green Bar Range, and View Four Most Common Calls.
The first button, Reset Visualization, restores the original bar coloring and the original x-axis size. The second
button, View Green Bar Range, adjusts the range of the x-axis to range from zero to six to show relative
sized of the green bars better and excludes the two large red-colored outliers. The third button,
View Four Most Common Calls, grays out all calls except the four most common call types from
visualization 1 .
Additionally, the user can hover over any individual bar to view the Call Type, Average Response in Minutes, Number of Calls,
Low Value, and High Value. The user can also click any bar to gray out all others to isolate the clicked bar for further analysis.
Credit
I used a Block from user DUSPViz which helped me learn and understand a really
nice and lightweight strategy to create a gradient color filled legend scale.
I used a Block from Justin Palmer which assisted
me with the tooltip hover feature on the individual bars. This introduced me to the events and
really helped me learn a lot.
I used the Observable
from class which assisted me in loading the data into my code and the
BlockBuilder where I learned how to create bar charts.