Two Bites of Data Science in K: Shorthand & Cricket Stats

This post presents two data analysis examples using the K programming language. The first involves developing a shorthand writing system, analyzing the CMU Pronouncing Dictionary to determine the most common consonant clusters following 'r' and 'l' in English to optimize shorthand symbol design. The second analyzes cricket test match data to identify bowlers with the best bowling averages, and further, which bowlers possess the best average amongst those with equal or greater numbers of wickets taken. Both demonstrate K's power in data manipulation and analysis, showcasing its real-world applicability.