Code Monkey home page Code Monkey logo

us-car-accidents's Introduction

US Car Accidents Analysis

This notebook aims to analyze the data of US road accidents from 2016 to 2020. The data has been sourced from here.

Some inferences :

  • A high percentage of accidents occur between 0600 hrs - 0900 hrs. The reason behind this could be because people commute for work and hence high traffic.
  • The accidents peak again at around 1500 hrs - 1800 hrs. This could again be due to people commuting back home from work.
  • On weekends, the number of accidents decreases.
  • The accidents start to increase as the year ends.
    This could be due to the festive season towards the end of the year due to which the number of commuters increase.
  • The data for 2016 is not complete, it is a little unreliable.

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.