"You may wonder, why use Julia for Data Analysis? This book answers both the 'why' and the 'how'. I really enjoyed that the examples are real-world data -- for instance, a set of chess puzzles with 2 million rows!
From the Foreword by Viral Shah, Co-Founder and CEO of Julia Computing

Julia for Data Analysis teaches you how to read and write data in different formats, transform data, analyze data, and create insightful visualizations using the Julia language. The book guides you through the most important features of Julia using plenty of hands-on examples, including analyzing currency exchange, time series data, ranking the popularity of chess puzzles, and more. You'll explore every step of the data science process, from acquiring and cleaning data right through to analysis. When you're finished, you'll be a confident Julia programmer ready to apply what you know.

Bogumi Kamiski is one of the lead developers of DataFrames.jl — the core package for data manipulation in the Julia ecosystem. He has over 20 years of experience delivering data science projects for corporate customers. He has been teaching data science at the undergraduate and graduate levels for two decades.