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Dr. Chao Mbogho
In this project, you will create a graphical user interface with a split pane that contains two panes. The first pane provides text fields to collect data on the number of students enrolled in English major, Mathematics major, and Chemistry major. In the second pane, there is a bar chart with the number of students in each major in the year 2020. When the button in the first pane is clicked, the bar chart will be updated with the number of students in each major in the year 2021.
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Syllabus
Project Overview
In this project, you will create a graphical user interface with a split pane that contains two panes. The first pane provides text fields to collect data on the number of students enrolled in English major, Mathematics major, and Chemistry major. In the second pane, there is a bar chart with the number of students in each major in the year 2020. When the button in the first pane is clicked, the bar chart will be updated with the number of students in each major in the year 2021.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Uses a predictable format that helps learners grasp the topic
Involves gathering and entering data, which aids in developing analytical skills
Designed for a diverse audience, as it does not require specific background knowledge
Suitable for self-paced learning, allowing students to progress at their own rhythm
Graphical user interface (GUI) based, providing an interactive learning experience
Teaches basic data visualization techniques using bar charts
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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 Display Simple Data with Bar Chart and Split Pane in JavaFX with these
activities:
Review Prior Programming Experience
Show steps
Review your prior programming experience to ensure a strong foundation for the course.
Browse courses on
Python
Show steps
-
Review basic programming concepts, such as variables, data types, and control structures.
-
Practice writing simple programs or coding exercises.
-
Join online forums or communities to connect with other programmers.
Organize Course Notes
Show steps
Organize your lecture notes, readings, and assignments to enhance your understanding and retention.
Browse courses on
Note-Taking
Show steps
-
Review and categorize your notes based on topics or modules.
-
Create a structured system for organizing your notes, such as using folders or digital note-taking apps.
-
Summarize key points and concepts from each set of notes.
Practice Data Entry
Show steps
Enter data on the number of students into the text fields to improve your accuracy and speed.
Browse courses on
Data Entry
Show steps
-
Open the graphical user interface with the text fields for data entry.
-
Enter the number of students in each major for the year 2020.
-
Repeat step 2 for the year 2021.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Create a Visual Representation of Data
Show steps
Visualize the data on the number of students in different majors in 2020 to reinforce your understanding of data representation.
Browse courses on
Data Visualization
Show steps
-
Gather bar chart libraries like matplotlib or any other visualization library of your choice.
-
Write a code to create a bar chart with the data on number of students in English major, Mathematics major, and Chemistry major in the year 2020
-
Run the code to generate the bar chart
Join a Study Group
Show steps
Connect with classmates and form a study group to discuss concepts, share notes, and support each other's learning.
Browse courses on
Collaboration
Show steps
-
Reach out to other students in your class or through online forums.
-
Establish a regular meeting schedule and set clear goals for each session.
-
Discuss course materials, ask questions, and work through problems together.
Explore a Data Visualization Library
Show steps
Learn how to use a data visualization library (e.g. matplotlib) to enhance your understanding of data representation.
Browse courses on
Data Visualization
Show steps
-
Choose a data visualization library.
-
Find online tutorials or documentation for the library.
-
Follow the tutorials to learn the basics of the library, such as creating charts, graphs, and plots.
-
Apply what you learn to create a visualization of the data on the number of students in different majors.
Write a Summary of the Course
Show steps
Summarize the key concepts covered in the course to solidify your learning.
Show steps
-
Review the lecture notes, readings, and any other course materials.
-
Identify the main ideas and concepts covered in each module or section.
-
Write a concise summary that captures the essence of the course.
Create a Mobile App
Show steps
Develop a mobile application that allows users to input and visualize data on the number of students in different majors.
Browse courses on
Mobile Application Development
Show steps
-
Choose a mobile application development framework (e.g., React Native, Flutter).
-
Design the user interface for the app, including the data input fields and the bar chart.
-
Implement the logic for data input and visualization.
-
Test the app on different devices and platforms.
Contribute to an Open-Source Data Visualization Project
Show steps
Contribute to an open-source data visualization project to enhance your skills and understanding of data representation.
Browse courses on
Open Source
Show steps
-
Identify an open-source data visualization project that aligns with your interests.
-
Review the project's documentation and codebase.
-
Identify areas where you can contribute, such as adding new features or fixing bugs.
-
Submit your contributions to the project and collaborate with other contributors.
Review Prior Programming Experience
Show steps
Review your prior programming experience to ensure a strong foundation for the course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review basic programming concepts, such as variables, data types, and control structures.
- Practice writing simple programs or coding exercises.
- Join online forums or communities to connect with other programmers.
Organize Course Notes
Show steps
Organize your lecture notes, readings, and assignments to enhance your understanding and retention.
Browse courses on
Note-Taking
Show steps
Show steps
Show steps
- Review and categorize your notes based on topics or modules.
- Create a structured system for organizing your notes, such as using folders or digital note-taking apps.
- Summarize key points and concepts from each set of notes.
Practice Data Entry
Show steps
Enter data on the number of students into the text fields to improve your accuracy and speed.
Browse courses on
Data Entry
Show steps
Show steps
Show steps
- Open the graphical user interface with the text fields for data entry.
- Enter the number of students in each major for the year 2020.
- Repeat step 2 for the year 2021.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Create a Visual Representation of Data
Show steps
Visualize the data on the number of students in different majors in 2020 to reinforce your understanding of data representation.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Gather bar chart libraries like matplotlib or any other visualization library of your choice.
- Write a code to create a bar chart with the data on number of students in English major, Mathematics major, and Chemistry major in the year 2020
- Run the code to generate the bar chart
Join a Study Group
Show steps
Connect with classmates and form a study group to discuss concepts, share notes, and support each other's learning.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Reach out to other students in your class or through online forums.
- Establish a regular meeting schedule and set clear goals for each session.
- Discuss course materials, ask questions, and work through problems together.
Explore a Data Visualization Library
Show steps
Learn how to use a data visualization library (e.g. matplotlib) to enhance your understanding of data representation.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a data visualization library.
- Find online tutorials or documentation for the library.
- Follow the tutorials to learn the basics of the library, such as creating charts, graphs, and plots.
- Apply what you learn to create a visualization of the data on the number of students in different majors.
Write a Summary of the Course
Show steps
Summarize the key concepts covered in the course to solidify your learning.
Show steps
Show steps
Show steps
- Review the lecture notes, readings, and any other course materials.
- Identify the main ideas and concepts covered in each module or section.
- Write a concise summary that captures the essence of the course.
Create a Mobile App
Show steps
Develop a mobile application that allows users to input and visualize data on the number of students in different majors.
Browse courses on
Mobile Application Development
Show steps
Show steps
Show steps
- Choose a mobile application development framework (e.g., React Native, Flutter).
- Design the user interface for the app, including the data input fields and the bar chart.
- Implement the logic for data input and visualization.
- Test the app on different devices and platforms.
Contribute to an Open-Source Data Visualization Project
Show steps
Contribute to an open-source data visualization project to enhance your skills and understanding of data representation.
Browse courses on
Open Source
Show steps
Show steps
Show steps
- Identify an open-source data visualization project that aligns with your interests.
- Review the project's documentation and codebase.
- Identify areas where you can contribute, such as adding new features or fixing bugs.
- Submit your contributions to the project and collaborate with other contributors.
Career center
Learners who complete Display Simple Data with Bar Chart and Split Pane in JavaFX will develop knowledge and skills
that may be useful to these careers:
UX Researcher
UX Researcher
UX Researchers study how users interact with products and services to help improve the user experience. This course can teach you about data analysis, presentation of data through charts and graphs, and visualization. It can help you build a foundation in UX research analysis.
Data Analyst
Data Analyst
Data Analysts use historical data to provide insights about past or potential future events. With this course, you can learn the fundamentals of data analysis, chart and graph creation, and data manipulation. This course can help you build a foundation in data analysis and visualization.
Market Researcher
Market Researcher
Market Researchers gather data and analyze market trends to help businesses make better decisions. This course can teach you about data analysis, presentation of data through charts and graphs, and visualization. It can help you build a foundation in market research analysis.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. This course will teach you data analysis and visualization techniques. This course can help you build a foundation in statistics.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems and make predictions. This course will help you learn data analysis and visualization techniques. This course can help you build a foundation in data science.
Business Analyst
Business Analyst
Business Analysts analyze business processes and identify areas for improvement. This course will teach you data analysis and visualization techniques. This course can help you build a foundation in business analysis.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists create visual representations of data. This course will teach you data analysis and visualization techniques. This course can help you build a foundation in data visualization.
Database Administrator
Database Administrator
Database Administrators manage and maintain databases. This course will teach you data analysis and visualization techniques. This course can help you build a foundation in database administration.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines and infrastructure. This course will teach you data analysis and visualization techniques. This course can help you build a foundation in data engineering.
ETL Developer
ETL Developer
ETL Developers extract, transform, and load data into data warehouses or other data storage systems. This course will teach you data analysis and visualization techniques. This course can help you build a foundation in ETL development.
Information Architect
Information Architect
Information Architects design and manage the structure and organization of information systems. This course will teach you about data analysis and visualization techniques. This course can help you build a foundation in information architecture.
Product Analyst
Product Analyst
Product Analysts analyze customer data and feedback to improve products and services. This course will teach you data analysis and visualization techniques. This course can help you build a foundation in product analysis.
Risk Analyst
Risk Analyst
Risk Analysts identify and assess risks to businesses. This course will teach you data analysis and visualization techniques. This course can help you build a foundation in risk analysis.
Performance Analyst
Performance Analyst
Performance Analysts measure and analyze the performance of systems and applications. This course will teach you data analysis and visualization techniques. This course can help you build a foundation in performance analysis.
Healthcare Data Analyst
Healthcare Data Analyst
Healthcare Data Analysts analyze data to improve the quality and efficiency of healthcare services. This course will teach you data analysis and visualization techniques. This course can help you build a foundation in healthcare data analysis.
For more career information including salaries, visit:
OpenCourser.com/course/b5ke8b/display
Reading list
We've selected 14 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
Display Simple Data with Bar Chart and Split Pane in JavaFX.
Comprehensive guide to concurrency in Java. It covers the fundamentals of concurrency, as well as advanced topics such as thread synchronization and deadlock avoidance.
Provides practical advice and best practices for writing effective and maintainable Java code. It valuable resource for experienced Java developers looking to improve their skills.
Save
Provides practical principles and best practices for writing clean and maintainable code. It valuable resource for developers looking to improve their coding skills.
Provides a comprehensive overview of Java for data science. It covers the fundamentals of Java, as well as advanced topics such as data wrangling, machine learning, and deep learning.
Provides a comprehensive overview of data structures and algorithms, which are fundamental concepts in computer science. It valuable reference for understanding the underlying principles of the Java programming language.
Save
Classic in the field of software design. It provides a catalog of proven design patterns that can be used to solve common software design problems.
Collection of practical advice and best practices for software development. It valuable resource for developers of all levels who are looking to improve their skills.
Provides a framework for designing software that is aligned with the business domain. It valuable resource for developers who are looking to improve the quality and maintainability of their code.
Save
Provides a comprehensive reference to JavaFX. It covers all the APIs and features of JavaFX, making it a valuable resource for JavaFX developers of all levels.
Provides a practical guide to design patterns in Java. It valuable resource for developers who are looking to learn about and apply design patterns in their own code.
Provides practical tips and techniques for improving the performance of Java applications. It valuable resource for developers looking to optimize their Java code.
Save
Is an accessible and engaging introduction to Java programming. It provides a solid foundation for understanding the basics of Java, making it a suitable choice for beginners.
Comprehensive guide to Java programming for beginners. It provides a solid foundation for understanding the basics of Java, making it a suitable choice for those with no prior programming experience.
Save
Provides a gentle introduction to JavaFX. It covers the basics of JavaFX, such as creating user interfaces, handling events, and working with graphics. It good choice for beginners who want to learn JavaFX quickly.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/b5ke8b/display
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Dr. Chao Mbogho
Language
English
Good to know
Uses a predictable format that helps learners grasp the topic
Involves gathering and entering data, which aids in developing analytical skills
Designed for a diverse audience, as it does not require specific background knowledge
Suitable for self-paced learning, allowing students to progress at their own rhythm
Graphical user interface (GUI) based, providing an interactive learning experience
Teaches basic data visualization techniques using bar charts
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