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.
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.
This wesbite utilizes the following data types, coding languages, and softwares.
This website is powered by a Python Flask–powered API, HTML/CSS, JavaScript, and at least one database (SQL, MongoDB, SQLite, etc.).
This site includes visuals powered by a flask-powered API from the International Civil Aviation Organization (ICAO).
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.
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.
We created four visualizations modeled after various course content covering interactive visualizations and dashboards, D3, and 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.
We used skills and knowledge from the JavaScript unit to develop a searchable table for visiters to explore.
Developed visualization 3
Developed visualization 2 and completed final design to website
Developed visualization 4
Developed visualization 1
Cleaned data using SQL and created API powered Python Flask
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