Visualization of UK accidents using Plotly Express from Coursera

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.

What's inside

Syllabus

Project Overview

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. 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.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Provides valuable insights into long-term UK road accident trends between 2005 and 2014, uncovering patterns and potential risk factors

Utilizes Plotly Express for data visualization, making complex data accessible and easy to interpret

Demonstrates hands-on, practical application of data visualization techniques through a real-world dataset

Provides a strong foundation for beginners in data visualization, especially those with an interest in transportation and safety analysis

Requires familiarity with Python programming language and basic knowledge of data analysis concepts

May be less suitable for individuals seeking advanced data visualization techniques or in-depth statistical analysis

Reviews summary

Plotly express for beginners

According to students, this course is great for beginners. The instructor is great and the course project is good but would benefit from the inclusion of complex statistical analysis.

Instructor was great.

"Instructor was great!"

Project is good but would benefit from more complex statistical analysis.

"The project was good for beginner."

"Addition of complex statistical analysis would be great."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Visualization of UK accidents using Plotly Express with these activities:

Resource Compilation: Data Visualization

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Build a comprehensive collection of resources, including tutorials, articles, and tools, to support your data visualization learning journey.

Browse courses on Data Visualization

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Search and gather relevant resources on data visualization theory, techniques, and best practices.
Organize the resources into categories, such as tools, tutorials, and articles.
Create a central repository for the resources, such as a shared document or website.

Review Basic Statistics

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Review basic statistical concepts and techniques to strengthen your foundation for data visualization.

Browse courses on Statistics

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Revise concepts of mean, median, mode, and standard deviation.
Practice calculating and interpreting statistical measures from datasets.

Plotly Express Exercises

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Enhance your hands-on skills by working through interactive exercises and challenges related to Plotly Express.

Browse courses on Data Visualization

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Follow guided tutorials on Plotly Express features.
Create scatter plots, bar charts, and line plots using Plotly Express.
Customize plot appearance, including colors, shapes, and legends.

Four other activities

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Data Visualization Project

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Apply your data visualization skills by creating an interactive visualization that communicates insights from the UK accidents dataset.

Browse courses on Data Analysis

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Select an aspect of the UK accidents dataset to explore, such as accident frequency by day of the week.
Design a visualization to effectively display the selected data.
Use Plotly Express to create the visualization, customizing its appearance and interactivity.
Prepare a brief presentation or report to explain your visualization and findings.

Personal Data Visualization Project

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Embark on a data visualization project that aligns with your interests and goals to apply your skills and showcase your abilities.

Browse courses on Data Visualization

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Identify a topic or dataset that you are passionate about and has data visualization potential.
Design a visualization that effectively communicates the data and insights you have explored.
Implement the visualization using Plotly or other Python libraries.
Present your project to peers, mentors, or online communities to get feedback and share your insights.

Advanced Visualization Techniques

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Expand your knowledge by exploring advanced visualization techniques beyond Plotly Express to enhance your data storytelling capabilities.

Browse courses on Data Visualization

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Research and understand advanced visualization concepts, such as treemaps, sunburst charts, and geographic visualizations.
Identify appropriate datasets and scenarios where advanced visualization techniques can be applied effectively.
Follow tutorials and documentations to implement advanced visualizations using Plotly or other Python libraries.

Contribute to Plotly Community

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Engage with the Plotly community by contributing to open-source projects and helping others. This will deepen your understanding and expand your network.

Browse courses on Data Visualization

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Identify open-source Plotly projects or issues that align with your interests and skills.
Study the project codebase and documentation to understand its functionality and needs.
Make code contributions, such as bug fixes, feature enhancements, or documentation improvements.

Career center

Learners who complete Visualization of UK accidents using Plotly Express will develop knowledge and skills that may be useful to these careers:

Data Visualization Specialist

Data Visualization Specialists create visual representations of data to help people understand complex information. This course can help you on your way to becoming a Data Visualization Specialist by teaching you how to use Plotly Express, a powerful tool for creating interactive data visualizations. Additionally, you will gain experience with Python, the programming language commonly used for data analysis and visualization.

See salaries and explore the career path for Data Visualization Specialist

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. This course can help you on your way to becoming a Quantitative Analyst by teaching you how to visualize data using Plotly Express. This skill is essential for a Quantitative Analyst, who must be able to communicate complex data to non-technical stakeholders in a clear and understandable way. Additionally, you will gain experience with Python, a programming language that is increasingly used in quantitative finance.

See salaries and explore the career path for Quantitative Analyst

Statistician

Statisticians collect, analyze, interpret, and present data. This course can help you on your way to becoming a Statistician by teaching you how to visualize data using Plotly Express. This skill is essential for a Statistician, who must be able to communicate complex data to non-technical stakeholders in a clear and understandable way. Additionally, you will gain experience with Python, a programming language that is increasingly used in statistics.

See salaries and explore the career path for Statistician

Business Analyst

Business Analysts help companies make better decisions by providing them with insights into their data. This course can help you on your way to becoming a Business Analyst by teaching you how to visualize data using Plotly Express. This skill is essential for a Business Analyst, who must be able to communicate complex data to non-technical stakeholders in a clear and understandable way. Additionally, you will gain experience with Python, a programming language that is increasingly used in business analysis.

See salaries and explore the career path for Business Analyst

Geospatial Analyst

Geospatial Analysts use geographic information systems (GIS) to analyze and visualize data. This course can help you on your way to becoming a Geospatial Analyst by teaching you how to use Plotly Express, a powerful tool for creating interactive data visualizations. Additionally, you will gain experience with Python, the programming language commonly used for data analysis and visualization.

See salaries and explore the career path for Geospatial Analyst

Data Analyst

Data Analysts use data to understand trends and make predictions, and this course will help you on your way to becoming one. You will learn to visualize data using Plotly Express, a powerful tool for creating interactive data visualizations. This skill is essential for a Data Analyst, who must present complex data in a clear and understandable way. Additionally, you will gain experience with Python, the programming language commonly used for data analysis.

See salaries and explore the career path for Data Analyst

Geographic Information Systems (GIS) Specialist

GIS Specialists use geographic information systems (GIS) to create and manage geographic data. This course can help you on your way to becoming a GIS Specialist by teaching you how to use Plotly Express, a powerful tool for creating interactive data visualizations. Additionally, you will gain experience with Python, the programming language commonly used for data analysis and visualization.

See salaries and explore the career path for Geographic Information Systems (GIS) Specialist

Cartographer

Cartographers create maps and other graphic representations of geographic data. This course can help you on your way to becoming a Cartographer by teaching you how to use Plotly Express, a powerful tool for creating interactive data visualizations. Additionally, you will gain experience with Python, the programming language commonly used for data analysis and visualization.

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Urban Planner

Urban Planners develop plans and policies for the development of urban areas. This course can help you on your way to becoming an Urban Planner by teaching you how to use Plotly Express, a powerful tool for creating interactive data visualizations. Additionally, you will gain experience with Python, the programming language commonly used for data analysis and visualization.

See salaries and explore the career path for Urban Planner

Transportation Planner

Transportation Planners develop plans and policies for the transportation system. This course can help you on your way to becoming a Transportation Planner by teaching you how to use Plotly Express, a powerful tool for creating interactive data visualizations. Additionally, you will gain experience with Python, the programming language commonly used for data analysis and visualization.

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Civil Engineer

Civil Engineers design and build infrastructure, such as roads, bridges, and buildings. This course can help you on your way to becoming a Civil Engineer by teaching you how to use Plotly Express, a powerful tool for creating interactive data visualizations. Additionally, you will gain experience with Python, the programming language commonly used for data analysis and visualization.

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Data Scientist

Data Scientists analyze and interpret data using various statistical techniques, and this course will help you on your way to becoming one. You will learn to visualize data using Plotly Express, a powerful tool for creating interactive data visualizations. This skill is indispensable for a Data Scientist, who must present complex data in a clear and understandable way. Additionally, you will gain experience with Python, the programming language commonly used for data analysis. This course may also be helpful for Data Engineers, who are responsible for building and maintaining the infrastructure that supports data analysis.

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Electrical Engineer

Electrical Engineers design and build electrical systems, such as power plants, wiring, and lighting. This course can help you on your way to becoming an Electrical Engineer by teaching you how to use Plotly Express, a powerful tool for creating interactive data visualizations. Additionally, you will gain experience with Python, the programming language commonly used for data analysis and visualization.

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Computer Engineer

Computer Engineers design and build computers, such as laptops, smartphones, and servers. This course can help you on your way to becoming a Computer Engineer by teaching you how to use Plotly Express, a powerful tool for creating interactive data visualizations. Additionally, you will gain experience with Python, the programming language commonly used for data analysis and visualization.

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Mechanical Engineer

Mechanical Engineers design and build machines, such as cars, airplanes, and robots. This course can help you on your way to becoming a Mechanical Engineer by teaching you how to use Plotly Express, a powerful tool for creating interactive data visualizations. Additionally, you will gain experience with Python, the programming language commonly used for data analysis and visualization.

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