Statistics for Data Science 1 - W2_L5: Describing categorical data - mode & median

Welcome to Week 2 Lecture 5 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 In this lecture, we explore how to summarize categorical data effectively and accurately using descriptive statistics. The session revisits key visualization methods such as frequency tables, bar charts, and pie charts, emphasizing the importance of clarity, correct labeling, and avoiding misleading representations. You will also learn how to handle multiple categories and understand the concept of Round of Error—what it means, how it occurs, and why it matters in data interpretation. The lecture introduces measures of central tendency for categorical data, focusing on the mode (the most frequent category) and the median (the middle value when data are ordered). Through examples and explanations, you will gain a deeper understanding of how these measures help summarize and interpret categorical data meaningfully. 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 #CategoricalData #FrequencyTable #BarChart #PieChart #DataVisualization #DataSummary #Mode #Median #DescriptiveStatistics #DataAnalysis #Statistics #DataInterpretation #RoundOfError #DataTables #Variables #Frequency #IITMadras #OnlineLearning #BSProgramme #Education #StatisticsForDataScience #DataScience #Analytics