Overview
This website was created to satisfy the requirements of Project 2 for GA Tech's Data Science and Analytics certifcate program. We sought to create a website with four dynamic visualizations analyzing aviation crashes from 1908 to 2009.
Project Features
This wesbite utilizes the following data types, coding languages, and softwares.
JavaScript
Python Flask–powered API
HTML/CSS
D3.js
SQL database
new JS library
Specific Requirements
This website is powered by a Python Flask–powered API, HTML/CSS, JavaScript, and at least one database (SQL, MongoDB, SQLite, etc.).
Python Flask–powered API
This site includes visuals powered by a flask-powered API from the International Civil Aviation Organization (ICAO).
HTML/CSS and JavaScript
We used HTML/CSS to create and design this website.This site displays data across four pages using various features from Bootstrap.
Data for this project was retrieved from Kaggle. The dataset contains data of airplane accidents involving civil, commerical, and military transport worldwide from 1908 to 2009.
Data Cleaning
As we reviewed our data, we noticed the dataset did not contain coordinates for locations of plane accidents. So, we used Microsoft Excel to obtain the appriopiate coordinates for all plane crash locations. Then we used SQL to clean our dataset and create the data file for our visuals.
JS Library
We created four visualizations modeled after various course content covering interactive visualizations and dashboards, D3, and web mapping.
Web Mapping
We used skills and knowledge from the web mapping unit to create visualization 4. Visualization 4 illustrates airplane accidents from 1908 to 2009 on the world map.
JavaScript and DOM Manipulation
We used skills and knowledge from the JavaScript unit to develop a searchable table for visiters to explore.
Team
Clay Bazzle
Developed visualization 3
Jessica Doanes
Developed visualization 2 and completed final design to website
John Timmers
Developed visualization 4
Joshua Mills
Developed visualization 1
Jungkyu Kim
Cleaned data using SQL and created API powered Python Flask
Contact
Contact Us
Address
A108 Adam Street,
New York, NY 535022
Call Us
+1 5589 55488 55
+1 6678 254445 41
Email Us
info@example.com
contact@example.com
Open Hours
Monday - Friday
9:00AM - 05:00PM