Learn how to handle missing data in R using various imputation techniques in this 34-minute video tutorial. Explore different methods of data imputation, including mean imputation, last observation carried forward (locf), next observation carried backward (nocb), k-Nearest Neighbors (kNN), and advanced techniques using the mice package. Understand the types of missing data, how to measure the success of imputation, and compare the performance of different algorithms using ggplot2. Follow along with practical R scripts, including an introduction to the RMD format, and see real-world applications using TCGA data. Evaluate the effectiveness of various imputation methods and gain insights into choosing the most appropriate technique for your data analysis needs.