Eva Murray Book order (chronological)

Learn to build an analytics community in your organization from scratch How to Build a Data Community shows readers how to create analytics and data communities within their organizations. Celebrated author Eva Murray relies on intuitive and practical advice structured as step-by-step guidance to demonstrate the creation of new data communities. How to Build a Data Community uses concrete insights gleaned from real-world case studies to describe, in full detail, all the critical components of a data community. Readers will discover: What analytics communities are and what they look like Why data-driven organizations need analytics communities How selected businesses and nonprofits have applied these concepts successfully and what their journey to a data-driven culture looked like. How they can establish their own communities and what they can do to ensure their community grows and flourishes Perfect for analytics professionals who are responsible for making policy-level decisions about data in their firms, the book is also a must-have for data practitioners and consultants who wish to make positive changes in the organizations with which they work.

Explore different perspectives and approaches to create more effective visualizations. #MakeoverMonday offers inspiration for those who communicate data. Initially a small project in the data visualization community, it features a weekly chart or graph alongside a dataset that community members reimagine for greater effectiveness. The results are remarkable; hundreds have contributed thousands of makeovers, highlighting the diverse nature of data visualization. Various interpretations of the same data reveal significant differences in theme, focus, content, and design, with side-by-side comparisons showcasing effective and ineffective techniques. This book extends that project, presenting a variety of makeovers that emphasize analytical, design, and storytelling skills honed through #MakeoverMonday. Browsing through these makeovers sparks inspiration for your own work, offers insights into different viewpoints, and underscores impactful techniques. It encourages exploration of visual data communication, consideration of audience and message, intuitive graph design, and assessment of layout, color, font, and chart type. Creating visual representations of complex datasets is challenging, balancing the need for clarity with the desire for artistic flair. #MakeoverMonday illustrates how to navigate between straightforward reporting and design artistry to produce the most suitable visualizations for any situation.