Visualization of UK accidents using Plotly Express

oferecido por
Coursera Project Network
Neste projeto guiado, você irá:

Learn to Visualize UK accidents using Plotly Express

Learn to download dataset directly from Kaggle

Clock1.5 hours
IntermediateIntermediário
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

In this 1.5-hour long project-based course, you will learn to Visualize the data of UK accidents using Plotly Express. This project gives detailed insights into United Kingdom (UK) long-term road accident trends between 2005 - 2014. We are going to visualize: 1. What is the rate of road accidents (i.e. the number of casualties) in the UK between 2005 - 2014? 2. What is the rate of road accidents based on weekdays? 3. How is the distribution of accident severity in the UK, from 2005 - 2014? 5. Which speed limit is closely associated with road accidents in the UK, from 2005 - 2014? 6. Which road type has the highest rate of road accidents between 2005 - 2014? By the end of this project, you will learn to set up Google Colab. You'll be able to download the UK accidents dataset directly from the Kaggle Platform on the Colab using Kaggle API. You'll visualize potential casualties due to road accidents, distribution of accident severity that may be either a serious accident, fatal accident, or a slight accident type. You will also visualize how speed limit is associated with the road accidents and see which road type has the highest rate of road accidents. You must have a basic knowledge of Python Programming Language. You'll need a free Gmail account to complete this project. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que você desenvolverá

  • analysis
  • visualization
  • Python Programming
  • plotly express
  • EDA

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  1. Introduction & Import Libraries

  2. Download Dataset directly from Kaggle using Kaggle API

  3. Load the data on Pandas Dataframe

  4. Visualization of the rate of road accidents in UK between 2005-2014

  5. Visualization of the rate of accidents in UK based on Weekdays

  6. Visualization of the rate of road accidents based on accident severity distribution

  7. Visualization of which speed limit is closely associated with road accidents

  8. Visualization of which road type has the highest rate of road accidents between 2005-2014

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

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