Giter Site home page Giter Site logo

jcjv86 / mid_bootcamp_project Goto Github PK

View Code? Open in Web Editor NEW
0.0 1.0 0.0 88.98 MB

A history of aircraft accidents (1908-2009)

Home Page: https://public.tableau.com/app/profile/juan.jimenez7376/viz/MidBootcampProject-Airlinecasualties1907-2009/HistoryofAircraftAccidents

Jupyter Notebook 93.08% Python 6.92%
airplanes casualties tableau-public accidents

mid_bootcamp_project's Introduction

MID BOOTCAMP PROJECT

A history of aircraft accidents (1908-2009)

Alt text

Link to the final presentation in Tableau Public

The following dataset contains a historic with registered plane crashes all over the world, since the first in 1908 until the last registered in 2009.

The original dataset provides information on date, time, location, operator, flight no., route, type of aircraft (or model), registration (if any), cn/in (ICAO serial number of the aircraft), people on board, fatalities (or passengers and or crew deaths), ground (ground casualties, aircraft occupiers excluded), and a summary about the aircraft incident.

After thoroughly cleaning the source dataset (which took almost 4 days due to the high cardinality of aircraft models and operators, and the poorly written locations), I have plotted the most relevant information in tableau:

  • Deaths by aircraft type
  • Deaths by operator
  • Total deaths VS passenger or ground casualties.
  • Biggest accidents - by passenger or ground casualties.
  • Some possible causes (4): Storm, bomb, sabotage or explosive decompression.

Also, created additional datasets with 50 values each, done with pandas groupby function after the main dataset was cleaned. They can be found in data/cleaned folder:

  • Biggest accidents (total and civil).
  • Deadliest operator (total and civil).
  • Deadliest model (total and civil).
  • Deadliest operator and model (total and civil).
  • Ground deaths (total and civil).

The notebooks folder contains the exploratory notebook, which was used to clean and explore the data, and the main notebook, where the grouping was made and then exported as additional datasets. Functions used to clean the dataset are located in the src/lib folder.

I have finally used tableau to help visualizing the data and build a presentation for it via story - and multiple dashboards to allow interactions with the graphics. A workbook can also be found in the slides folder.

Dataset source https://data.world/data-society/airplane-crashes

mid_bootcamp_project's People

Contributors

jcjv86 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.