Q$1.$ From your experience, you know that flight activity did not drop so significantly between $2010$ and $2011.$ Why does this viz seem to indicate otherwise? Investigate flights over time in more detail to determine why these yearly numbers show such a large drop.

Q$2.$ You are interested in identifying days that are particularly light in terms of travel each year. Is$/$Are there particular holiday$($s$)$ that seem to experience substantially lower numbers of flights?

Q$3.$ Next, you want to know who operates the most flights. Is there one airline that operated more flights than any other single airline for each week in this dataset?

Q$4.$ What are the top $5$ airports with the most cancelled flights? Are results in line with airports typically categorized as $$busiest$$ airports?

Q$5.$ You would also like to know which states tend to experience the longest departure delays. Create a map that visualizes the departure delay that you can expect in each origin state. Allow the user to filter by airline. Colors should range from dark blue for states with short departure delays to dark orange for states with long departure delays. Any insights that you can draw from this visualization?

Q$6.$ Compare the frequency of canceled flights between $2010$ and $2011.$ What Month$/$day appears to have the most canceled flights in each of these years? Does the visualization suggest any plausible explanation for this phenomenon?