In the Data Visualization - 1 week, Dr. Pallavi Mishra starts with an introduction to R- Data Visualization and explores various visualization techniques, including histograms, dispersion box plots, stem and leaf plots, as well as pie charts and bar charts. These visual tools will empower you to convey insights effectively, making complex data more accessible and understandable.

Learning Outcomes

Programme outcome addressed this week:

To familiarize the techniques for creating interactive visual representations from raw data

By the end of this week, you will be able to:

Describe plot techniques for visualization.
Explain and present the Findings in the Data Sets, after the Analysis is complete.

Activities

Key activities

Videos 1-6
Required Quiz 6.1: Week 6 Quiz
Live Session: Week 6 Live Session

All the above activities should be completed by Sunday, October 13, 2024, 11:59 PM IST.

Self-study activities

Please note that self-study activities are optional and do not count towards course completion.

Additional Reading: Reference List
Study Materials: Lecture Notes / Weblinks
Discussion: Q&A Discussion

You are encouraged to engage with the self-study activities to enhance your learning.

You can download the study materials at the end of the week.

Support

Q&A Discussion Boards

Please use this Q&A Discussion Board to post your questions and reply to other participants as you engage with the material in this week. Your Course Mentor will moderate this forum to respond to your content-related questions. This discussion board may also assist you in your preparation for office hours. We suggest you bookmark this page and return to it often.

Need Help? Contact Programme Support

For assistance, you can reach out to the Programme Support team. You may expect a response within 24-48 hours from Monday to Saturday.