Statistics for Data Science 1 - W2_T2: Problems misleading graphs

Welcome to the Week 2 Tutorial of the course "Statistics for Data Science - I" by Prof. Andrew Thangaraj. Full Course: https://study.iitm.ac.in/ds/course_pages/BSMA1002.html Video Overview This tutorial focuses on identifying and understanding misleading graphs in data visualization. Through examples of bar charts and pie charts, we explore how improper scaling, inconsistent labeling, and distorted visual proportions can lead to incorrect interpretations. The session emphasizes the importance of critically analyzing graphical representations to ensure that they accurately convey the underlying data. By the end of this lecture, you’ll be equipped to spot visual deception and apply best practices to create clear, honest, and meaningful charts. About IIT Madras' online Bachelor of Science programme IIT Madras offers four-year BS programmes that aim to provide quality education to all, irrespective of age, educational background, or location. The BS programme has multiple levels, which provide flexibility to students to exit at any of these levels. Depending on the courses completed and credits earned, the learner can receive a Foundation Certificate from IITM CODE (Centre for Outreach and Digital Education), Diploma(s) from IIT Madras, or BSc/BS Degrees from IIT Madras. For more details, Visit: https://www.iitm.ac.in/academics/study-at-iitm/non-campus-bs-programmes #MisleadingGraphs #DataVisualization #DataAnalysis #Statistics #BarGraph #PieChart #GraphInterpretation #DataMisrepresentation #VisualDeception #CriticalThinking #DataAccuracy #ChartAnalysis #IITMadras #OnlineLearning #BSProgramme #Education #StatisticsForDataScience #DataScience