ayaansk199 / flight-data-analysis

Flight data analysis in python using numpy, pandas, matplotlib and seaborn

Flight Data Analysis

We have dataset contains information about all flights that departed from NYC in 2013, Contains around 336,776 total flights.

Software's and Libraries:

1. Jupyter Notebook
2. Python 3.x
3. Numpy
4. Pandas
5. MatplotLib
6. Seaborn
7. Pandas Profiling

This dataset is composed by the following variables:

1. year: 2013
2. month: 1-12
3. day: Day of month(1-31)
4. dep_time: Departure times, local timezone
5. sched_dep_time: Scheduled departure time
6. dep_delay: Departure delay, in minutes, Negative times represent early departures
7. arr_time: Arrival times, local timezone
8. sched_arr_time: Scheduled arrival time
9. arr_delay: Arrival delay, in minutes, Negative times represent early arrivals
10. carrier: Two letter carrier abbreviation
11. flight: Flight number
12. tailnum: Plane tail number
13. origin: Airport codes for origin
14. dest: Airport codes for destination
15. air_time: Amount of time spent in the air, in minutes
16. distance: Distance flown, in miles
17. hour: Time of departure broken in to hour
18. minute: Time of departure broken in to minutes
19. time_hour: Timestamp