Airport Data Interpretation using Python Programming

Nasvi Kareem

Abstract: Data is information about a subject dealing in an organization which can be in structured or unstructured format. There are many methods to extract data from different sources. Data Analysis consists of different steps- Data Extraction/Data filtering/ Data plotting/ Data prediction. This project gives an understanding on how to execute data analysis by using python programming. Python is a popular language used widely. Python is a flexible language which can be executed in different platforms. Python has libraries which support data analysis. The project explains the step by execution of python language from loading the multiple files and giving a result of different plots. Tkinter is a python user interface used to display the results in an accountable-application manner. The codes are executed in Jupyter Notebook using the relevant python libraries. At the conclusion the plots were displayed from the three categories of airports where the location is filtered to display only some regions of flight landing. It works on a graphical user interface which is generated as an application using buttons which display the output.

Keywords: Python, Jupyter Notebook, Data Filtering, Data Plotting, Data Visualization, Tkinter, Numpy, Pandas, Matplotlib, Seaborn