Analyze YouTube Trends with a Dashboard
YouTubers are faced with the pressure to create content that can potentially become viral and help pave their way to be the Internet’s next sensation. What, then, gets more views nowadays? Are certain categories more popular than others in general, or does title length matter too? In this guided project, you will build a dashboard with interactive plots to observe trends in YouTube videos over the past decade.
4.4 (83 Reviews)
Language
- English
Topic
- Data Visualization
Industries
- Retail, Healthcare, Agriculture, Financial Services
Enrollment Count
- 656
Skills You Will Learn
- Data Analysis, R, Data Visualization
Offered By
- IBM
Estimated Effort
- 45 minutes
Platform
- SkillsNetwork
Last Update
- May 18, 2024
Why you should do this Guided Project
Whether it be healthcare or retail, data visualization is a crucial technique for displaying key observations in a neat and understandable way. Interactive plots and dashboards extend the possibilities in customizing your presentation for varying audience. In this guided project, you will build a dashboard with interactive plots to observe trends in YouTube videos over the past decade. You will be involved in the complete process of examining the data, determining what variables are of interest, and eventually construct different graphs depending on its purpose.
A Look at the Project Ahead
- Engineer useful features for data visualization
- Explore types of graphs offered by ggplot and plotly
- Create interactive plots with plotly
- Build a static dashboard using flexdashboard
What You'll Need
Frequently Asked Questions
Language
- English
Topic
- Data Visualization
Industries
- Retail, Healthcare, Agriculture, Financial Services
Enrollment Count
- 656
Skills You Will Learn
- Data Analysis, R, Data Visualization
Offered By
- IBM
Estimated Effort
- 45 minutes
Platform
- SkillsNetwork
Last Update
- May 18, 2024
Instructors
Cindy Huang
Data Science Intern at IBM
Hey there! I'm a senior at the University of Toronto studying data science. My passion for machine learning lies in NLP and using technology to improve human experience.
Read moreContributors
Joseph Santarcangelo
Senior Data Scientist at IBM
Joseph has a Ph.D. in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.
Read moreSvitlana Kramar
Data Scientist
I’m a passionate data science educator whose goal is to learn by teaching innovative data science tools that can improve our day-to-day tasks and our quality of life. My interests are in Natural Language Processing: text classification, summarization, and generation. Research can take a long time because there are a lot of resources and new opinions posted every day. Having tools to summarize and extract the information can save a lot of time. I hope we can all learn, approve, and apply the data science tools to cut down on the repetitive and tedious tasks, to make more informed decisions in life, to differentiate fake from real, and to open communication spaces to language-diverse or hearing-impaired audiences. The applications are limitless! My personality: I am a foodie and I love cooking and learning different cuisines. I also love travelling and connecting with people by learning a little bit of their language, about their food and music. I hold Data Science and Analytics master’s degree, specializing in Machine Learning, from University of Calgary.
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