robikscuber OP t1_itd9gca wrote on October 22, 2022 at 7:31 PM Reply to comment by RadioApprehensive216 in [OC] US Flight Cancellations 2018-2022 by robikscuber That’s a good point, but percentage based wouldn’t show us how many flights airlines are willing to over commit to and then cancel. Permalink Parent 19
robikscuber OP t1_itd99i6 wrote on October 22, 2022 at 7:29 PM Reply to comment by Beavshak in [OC] US Flight Cancellations 2018-2022 by robikscuber That’s a good point. I see the cancellations did go up that year but it might also be that the BTS changed their collection methodology. Permalink Parent 28
robikscuber OP t1_itc5bcm wrote on October 22, 2022 at 2:50 PM Reply to [OC] US Flight Cancellations 2018-2022 by robikscuber Data Source: https://www.transtats.bts.gov/DL_SelectFields.aspx?gnoyr_VQ=FGK&QO_fu146_anzr=b0-gvzr Aggregated Dataset on Kaggle: https://www.kaggle.com/datasets/robikscube/flight-delay-dataset-20182022 Created in python using the calmap package. https://pythonhosted.org/calmap/ Code / Notebook used to create the plot: https://www.kaggle.com/code/robikscube/flight-delay-exploratory-data-analysis-twitch Video of the creation process: https://youtu.be/xs_L6z9QNYY Last post was deleted, this version has a legend! If you are interested in making your own plot or modifying this one (filtering to specific airlines, etc.) feel free to fork the notebook linked above. Permalink 15
[OC] US Flight Cancellations 2018-2022 Submitted by robikscuber t3_yapmwy on October 22, 2022 at 2:46 PM in dataisbeautiful 56 comments 667
[OC] US Flight Cancellations 2018-2022
robikscuber OP t1_itd9gca wrote
Reply to comment by RadioApprehensive216 in [OC] US Flight Cancellations 2018-2022 by robikscuber
That’s a good point, but percentage based wouldn’t show us how many flights airlines are willing to over commit to and then cancel.