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Federal Aviation Authority (FAA) Dataset Analysis in Python

By Abhishek Kumar Singh

In this project, we are going to drive a bit deeper in the Data Analytics field and would try to explore the FAA Dataset in Python.

This Project requires a pre-requisite knowledge of basic Python Programming and required users to be familiar with the Jupyter notebook.

This Project requires pre_installation of the panda's library in the Jupyter Notebook.

Install Jupyter Notebook on your laptop/desktop:

Step 1: Download Anaconda's latest Python3 version (Anaconda Navigator 3 or later).

Step 2: Install the anaconda version and run it in your system.

Step 3: After installation, open the Application. Here you will find various other applications that come with an anaconda navigator including JupyterLab, Jupyter Notebook, Spyder, Orange 3, etc. Click on the Install button under Jupyter Notebook.

Step 4: Congratulations, you have successfully installed Jupyter Notebook in your system. Click on the Launch Button and it will redirect you to your default web browser.

Install Pandas library in Jupyter NoteBook:

Step 1: Open Anaconda Navigator.

Step 2: Click on the Environments tab displayed on the top left corner of your screen.

Step 3: Click on Create icon displayed on the bottom left corner of your screen.

Step 4: Enter the name of the library you want to install (Here "pandas").

Step 5: Select the python version to run in the environment.

Step 6: Click on create button and you are done.

Note: Don't forget to activate the panda's library in the environment. Search for pandas in the search box and tick mark it to activate in your environment.

 

Note:  Open these files and save them in your working directory.

 

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