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Задойный Алексей Владимирович
В этом проекте на примере данных о стоимости различных фондов мы научимся интерактивной визуализации данных с помощью Plotly (Python) с использованием:
- кнопок
- выпадающих списков
- слайдеров диапазона и кнопок для выбора диапазона
Научимся различным манипуляциям с данными, например, менять выводимые кривые на графике. А так же менять стили кривых на примере толщины линий.
Register for this course and see more details by visiting:
OpenCourser.com/course/6peylv/knopki
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches interactive visualization with Plotly (Python) using buttons, drop-down lists, range sliders, and range buttons
Applies to real-life data about the cost of various funds
Develops data manipulation skills, such as changing displayed curves and line thickness
Save this course
Save Кнопки в интерактивной визуализации данных в Plotly to your list so you can find it easily later:
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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 Кнопки в интерактивной визуализации данных в Plotly with these
activities:
Review Data Manipulation Techniques
Show steps
Strengthen your data manipulation skills to enhance your ability to prepare data for visualization.
Browse courses on
Data Manipulation
Show steps
-
Review Python libraries for data manipulation
-
Practice cleaning, transforming, and merging datasets
Follow Along with External Plotly Tutorials
Show steps
Supplement your learning with expert-led tutorials to expand your knowledge of Plotly's capabilities.
Browse courses on
Plotly
Show steps
-
Explore Plotly's interactive dashboard gallery
-
Follow step-by-step tutorials on creating advanced visualizations
Join a Study Group or Online Forum
Show steps
Engage with fellow learners to discuss concepts, share insights, and troubleshoot challenges.
Show steps
-
Find an online forum or study group dedicated to Plotly
-
Participate in discussions and ask questions
-
Collaborate on projects and share resources
Four other activities
Expand to see all activities and additional details
Show all seven activities
Interactive Data Visualization Exercises
Show steps
Reinforce your understanding of Plotly's interactive features through hands-on exercises.
Browse courses on
Plotly
Show steps
-
Create interactive line charts with buttons to toggle visibility
-
Implement drop-down menus to filter data and update visualizations
-
Use range sliders to zoom in and out of data
Seek Guidance from Experienced Data Visualization Professionals
Show steps
Connect with experienced professionals to gain insights, advice, and support in your data visualization journey.
Browse courses on
Mentorship
Show steps
-
Attend industry events and conferences
-
Reach out to professionals on LinkedIn or other platforms
-
Seek formal mentorship programs
Develop a Data Visualization Portfolio
Show steps
Showcase your skills by creating a portfolio of interactive data visualizations that demonstrate your proficiency.
Browse courses on
Portfolio Development
Show steps
-
Gather and prepare datasets for visualization
-
Design and implement interactive visualizations using Plotly
-
Present your portfolio to potential employers or clients
Build a Real-World Data Visualization Project
Show steps
Apply your skills to create a meaningful data visualization project that solves a real-world problem.
Browse courses on
Project-Based Learning
Show steps
-
Identify a problem or opportunity to be addressed through data visualization
-
Collect and clean the necessary data
-
Design and implement an interactive data visualization
-
Deploy and share your project
Review Data Manipulation Techniques
Show steps
Strengthen your data manipulation skills to enhance your ability to prepare data for visualization.
Browse courses on
Data Manipulation
Show steps
Show steps
Show steps
- Review Python libraries for data manipulation
- Practice cleaning, transforming, and merging datasets
Follow Along with External Plotly Tutorials
Show steps
Supplement your learning with expert-led tutorials to expand your knowledge of Plotly's capabilities.
Browse courses on
Plotly
Show steps
Show steps
Show steps
- Explore Plotly's interactive dashboard gallery
- Follow step-by-step tutorials on creating advanced visualizations
Join a Study Group or Online Forum
Show steps
Engage with fellow learners to discuss concepts, share insights, and troubleshoot challenges.
Show steps
Show steps
Show steps
- Find an online forum or study group dedicated to Plotly
- Participate in discussions and ask questions
- Collaborate on projects and share resources
Four other activities
Expand to see all activities and additional details
Show all seven activities
Interactive Data Visualization Exercises
Show steps
Reinforce your understanding of Plotly's interactive features through hands-on exercises.
Browse courses on
Plotly
Show steps
Show steps
Show steps
- Create interactive line charts with buttons to toggle visibility
- Implement drop-down menus to filter data and update visualizations
- Use range sliders to zoom in and out of data
Seek Guidance from Experienced Data Visualization Professionals
Show steps
Connect with experienced professionals to gain insights, advice, and support in your data visualization journey.
Browse courses on
Mentorship
Show steps
Show steps
Show steps
- Attend industry events and conferences
- Reach out to professionals on LinkedIn or other platforms
- Seek formal mentorship programs
Develop a Data Visualization Portfolio
Show steps
Showcase your skills by creating a portfolio of interactive data visualizations that demonstrate your proficiency.
Browse courses on
Portfolio Development
Show steps
Show steps
Show steps
- Gather and prepare datasets for visualization
- Design and implement interactive visualizations using Plotly
- Present your portfolio to potential employers or clients
Build a Real-World Data Visualization Project
Show steps
Apply your skills to create a meaningful data visualization project that solves a real-world problem.
Browse courses on
Project-Based Learning
Show steps
Show steps
Show steps
- Identify a problem or opportunity to be addressed through data visualization
- Collect and clean the necessary data
- Design and implement an interactive data visualization
- Deploy and share your project
Career center
Learners who complete Кнопки в интерактивной визуализации данных в Plotly will develop knowledge and skills
that may be useful to these careers:
Data Visualization Analyst
Data Visualization Analyst
A Data Visualization Analyst creates visual representations of data to help organizations understand and make better decisions. This course on Plotly, a Python library for interactive data visualization, provides a solid foundation for aspiring Data Visualization Analysts. By learning how to use buttons, drop-down lists, and range sliders to manipulate data and change curve styles, you'll gain the skills necessary to create compelling and informative visualizations.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems and make informed decisions. This course on Plotly, a Python library for interactive data visualization, provides a foundation for aspiring Data Scientists. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to communicate data insights effectively to stakeholders.
Business Analyst
Business Analyst
Business Analysts use data to help organizations improve their performance. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Business Analysts. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to communicate data insights effectively to stakeholders.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Software Engineers interested in data visualization. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create user-friendly and informative data visualizations.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment recommendations and provide financial advice. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Financial Analysts. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create compelling and informative visualizations to support your analysis and recommendations.
Market Research Analyst
Market Research Analyst
Market Research Analysts collect and analyze data to understand market trends and consumer behavior. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Market Research Analysts. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create compelling and informative visualizations to communicate your findings to stakeholders.
Product Manager
Product Manager
Product Managers plan and oversee the development and launch of products. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Product Managers interested in data-driven product development. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create compelling and informative visualizations to demonstrate the value of your products.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to extract meaningful information. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Statisticians. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create compelling and informative visualizations to communicate your findings to stakeholders.
Data Engineer
Data Engineer
Data Engineers design and build the infrastructure for storing, processing, and analyzing data. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Data Engineers interested in data visualization. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create compelling and informative visualizations to communicate data insights to stakeholders.
User Experience (UX) Designer
User Experience (UX) Designer
User Experience (UX) Designers create user interfaces for websites and applications. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring UX Designers interested in data visualization. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create user-friendly and informative data visualizations.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data and make investment recommendations. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Quantitative Analysts. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create compelling and informative visualizations to support your analysis and recommendations.
Data Architect
Data Architect
Data Architects design and build the architecture for data storage, processing, and analysis systems. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Data Architects interested in data visualization. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create compelling and informative visualizations to communicate your findings to stakeholders.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models to solve real-world problems. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Machine Learning Engineers interested in data visualization. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create compelling and informative visualizations to communicate your findings to stakeholders.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help organizations make better decisions. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Business Intelligence Analysts. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create compelling and informative visualizations to communicate your findings to stakeholders.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to identify trends and patterns. This course on Plotly, a Python library for interactive data visualization, may be useful for aspiring Data Analysts. By learning how to use buttons and other interactive elements to manipulate data and change curve styles, you'll gain the skills necessary to create compelling and informative visualizations to communicate your findings to stakeholders.
For more career information including salaries, visit:
OpenCourser.com/course/6peylv/knopki
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Кнопки в интерактивной визуализации данных в Plotly.
Provides a comprehensive overview of interactive data visualization techniques and technologies, with a focus on web-based applications. It covers topics such as data visualization principles, interactive visualization techniques, and tools and libraries for building interactive visualizations.
Provides a comprehensive overview of the D3.js library for data visualization in the web. It covers a wide range of topics, including chart types, interactivity, and performance optimization. This book would be a valuable resource for anyone interested in learning more about data visualization in the web.
Save
Provides a practical introduction to data visualization, covering the principles of visual perception, chart types, and best practices for creating effective visualizations. It valuable resource for anyone who wants to learn how to create clear and informative data visualizations.
Provides a comprehensive overview of the Python programming language for data analysis. It covers a wide range of topics, including data structures, data manipulation, data visualization, and machine learning. This book would be a valuable resource for anyone interested in learning more about data analysis in Python.
Save
Provides a comprehensive overview of the Tableau software for data analysis. It covers a wide range of topics, including data visualization techniques, data manipulation, and data analysis. This book would be a valuable resource for anyone interested in learning more about data analysis in Tableau.
Save
Provides a comprehensive overview of the R programming language for data visualization. It covers a wide range of topics, including chart types, interactivity, and performance optimization. This book would be a valuable resource for anyone interested in learning more about data visualization in R.
Provides a comprehensive overview of data visualization principles and techniques. It covers topics such as data visualization principles, choosing the right visualization type, and designing effective visualizations.
Provides a practical introduction to data visualization. It covers topics such as data visualization principles, choosing the right visualization type, and designing effective visualizations.
Is more focused on machine learning, but provides an excellent overview of the techniques used in data analysis. This book would be a valuable resource for anyone interested in learning more about machine learning.
Provides a practical guide to choosing the right visualization type for different types of data. It covers topics such as data visualization principles, choosing the right visualization type, and designing effective visualizations.
Save
Classic work on data visualization. It covers topics such as data visualization principles, choosing the right visualization type, and designing effective visualizations.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/6peylv/knopki
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Time
4 hours
Via
Coursera
Institution
E-Learning Development Fund
Instructor
Задойный Алексей Владимирович
Good to know
Teaches interactive visualization with Plotly (Python) using buttons, drop-down lists, range sliders, and range buttons
Applies to real-life data about the cost of various funds
Develops data manipulation skills, such as changing displayed curves and line thickness
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