Preface
In the context of business intelligence, data visualization assumes a pivotal role in converting extensive amounts of raw data into actionable insights. It entails transforming complex raw data into diverse visualizations, such as charts, graphs, geo maps, and dashboards, to uncover interesting stories within the data. Through visual representation, decision-makers can swiftly notice crucial information and trends, enabling informed decision-making that may not be doable with raw data alone. In essence, data visualization fosters a culture of data-driven decision-making within organizations and has become an indispensable skill for ensuring business sustainability.
As such, this book was written to guide dan equip interested readers with basic data visualization skills. The book uses Tableau Public version 2024.2 as the main tool to demonstrate various visualization techniques. The tool does not demand extensive proficiency in computer programming languages; users can effortlessly create interactive visualizations by simply dragging and dropping selected data fields onto the worksheet. Additionally, advanced analysis can be performed without the need for intricate formulas.
The content of this book has been meticulously assembled and arranged to facilitate beginners in learning from the ground up. Chapter 1 primarily focuses on guiding readers through the process of connecting data source files to the Tableau Public environment and creating their initial visualization. Chapter 2 offers guidelines for customizing visualizations to include context or additional information, enhancing their appeal for presentations. Chapter 3 delves into various data filtering features within Tableau, enabling dynamic adjustments to the displayed details in visualizations. Chapter 4 illustrates the utilization of groups, sets, and combined sets in data visualization. Chapter 5 provides examples of calculations that can be executed in Tableau Public. Chapter 6 walks readers through the creation of advanced charts or graphs using Tableau Public. Chapter 7 covers the process of constructing motion visualizations. Lastly, Chapter 8 outlines the steps for merging multiple visualizations to design a dashboard.
The book is tailored by adhering to the concept of learning by doing; proficiency can only be achieved through active practice. Mastering data visualization skills requires hands-on experience, and therefore, this book provides at least one exercise for every key concept discussed. In total, the book includes over 30 exercises, each accompanied by a detailed, step-by-step solution.
The book is anticipated to greatly benefit readers, depending on their current roles. University or college students can utilize it to acquire fundamental data visualization skills, highly valued by today’s industries. These skills can enhance their employability prospects upon graduation and prepare them for Tableau professional certification exams.
Executives within business organizations can leverage the skills gained from this book to visually analyze their historical performance data. Insights derived from such analysis can inform evidence-based strategic or operational decisions, aiding in sustaining or enhancing business outcomes.
Researchers, meanwhile, can utilize Tableau skills to visually analyze their research data, aiding in achieving their research objectives. Finally, trainers may utilize this book as one of their main instructional resources in coaching their trainees from scratch.
All in all, the book offers a unique content structure, featuring numerous hands-on exercises and guided solutions, which can efficiently equip individuals with the desired data visualization skills in a minimal time frame.
