--- product_id: 13906403 title: "The Accidental Analyst: Show Your Data Who's Boss" price: "£27.57" currency: GBP in_stock: true reviews_count: 8 url: https://www.desertcart.co.uk/products/13906403-the-accidental-analyst-show-your-data-whos-boss store_origin: GB region: United Kingdom --- # The Accidental Analyst: Show Your Data Who's Boss **Price:** £27.57 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** The Accidental Analyst: Show Your Data Who's Boss - **How much does it cost?** £27.57 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.co.uk](https://www.desertcart.co.uk/products/13906403-the-accidental-analyst-show-your-data-whos-boss) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description The Accidental Analyst: Show Your Data Who's Boss [McDaniel, Eileen, McDaniel, Stephen] on desertcart.com. *FREE* shipping on qualifying offers. The Accidental Analyst: Show Your Data Who's Boss Review: Great Resource for anyone without formal training in Statistics or Analyst - The Accidental Analysis is a great book for anyone who has a block of data and needs to make conclusions from it. The focus of the book is on Visual Analysis which is the act of building visuals from data to solve problems and identifying actions. The example in the book focuses on business intelligence and sales in particular, but the framework they lay out can be used by anyone doing any type of analysis with numbers. The book is an excellent resource for anyone who finds themselves doing analysis without any formal training or experience in analytic or statistics. I was a humanities major in college, now working in the business world, and found the book to be very easy to understand. The focus is on practical applications and real world situations. You don't need to know anything about statistics or data management to use the book, though if you do, I think you'd still likely get a lot out of the book. Instead of talking about equations, they lay out a basic 7 step framework that is very easy to understand. The first part of the book walks you through forming questions to guide your analysis, and the practical aspects of collecting data, correcting problems in the data, and joining multiple data sources together. The second part of the book focuses on the analysis of the data. Particularly how to chart the data, analyze what's going on, and communicate the results. If you are a fan of Stephen Few or Edward Tufte's work you will appreciate the advice given in the second part of the book. Additionally the book is filled with lots of tips, tricks, and best practices. The book is laid out very well and you always know where in the process you are through the tabs printed on every page. As they teach the steps they walk through a hypothetical situation from start to finish using a Pet Store's sales data that builds throughout the book. This allows you to see the steps in practice. They use Tableau to build the visuals in the book so this makes it a great resource if you're wanting to go beyond the authors' other book Rapid Graphs with Tableau, which focuses on learning the software. But the book is written in such a way as it stands alone from any particular BI software and could easily be used with Excel, Access, Business Objects, Cognos, JMP, Micorstratgy, QlikView, R, SAS, SPSS, or Tibco Spotfire. Review: A different look than my stat & CS training - I have really enjoyed this book and found it grew on me as I read it. I think it is an excellent way to think about and even rethink analytics in the real-world. What's most interesting is that some of it is obvious after a year or two of analysis but much of it is not, until you have read it and then you think, of course we should show ROI or percentiles or year over year growth on the same graph! This book is loosely structured around the scientific method but reshaped for addressing business analytics with a decidedly visual bent. They have converted the scientific method to the 7 C's of analysis and have great examples throughout the process. The 7 C's are: Choose questions, Collect data, Check data, Clean data, Chart the data, Customize the analyses and Collaborate the results. I found their tabs on every page (a pictogram of where you are in the 7 C’s) of the book a great way to quickly orient yourself as to which C you are in and what stage of the analytic process you are working in. This book is black and white, which I enjoyed more than I expected since the examples are beautifully illustrated, even without color. In fact, the examples have me rethinking my tendency toward excessive color, which I see may impede my point. Finally, there is great advice for those of us who would rather stay at our desk and program- get out there and ask more questions of the business “owners”, making certain these conversations shape your approach to the analysis and especially how you present your results. I have found this advice quite useful in my work already! ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #1,487,227 in Books ( See Top 100 in Books ) #2,195 in Business Decision Making #2,953 in Decision-Making & Problem Solving | | Customer Reviews | 4.0 4.0 out of 5 stars (37) | | Dimensions | 8 x 0.68 x 10 inches | | Edition | F First Edition Used | | ISBN-10 | 1477432264 | | ISBN-13 | 978-1477432266 | | Item Weight | 1.6 pounds | | Language | English | | Print length | 300 pages | | Publication date | May 8, 2012 | | Publisher | CreateSpace Independent Publishing Platform | ## Images ![The Accidental Analyst: Show Your Data Who's Boss - Image 1](https://m.media-amazon.com/images/I/61RTy8wohCL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ Great Resource for anyone without formal training in Statistics or Analyst *by T***E on March 28, 2013* The Accidental Analysis is a great book for anyone who has a block of data and needs to make conclusions from it. The focus of the book is on Visual Analysis which is the act of building visuals from data to solve problems and identifying actions. The example in the book focuses on business intelligence and sales in particular, but the framework they lay out can be used by anyone doing any type of analysis with numbers. The book is an excellent resource for anyone who finds themselves doing analysis without any formal training or experience in analytic or statistics. I was a humanities major in college, now working in the business world, and found the book to be very easy to understand. The focus is on practical applications and real world situations. You don't need to know anything about statistics or data management to use the book, though if you do, I think you'd still likely get a lot out of the book. Instead of talking about equations, they lay out a basic 7 step framework that is very easy to understand. The first part of the book walks you through forming questions to guide your analysis, and the practical aspects of collecting data, correcting problems in the data, and joining multiple data sources together. The second part of the book focuses on the analysis of the data. Particularly how to chart the data, analyze what's going on, and communicate the results. If you are a fan of Stephen Few or Edward Tufte's work you will appreciate the advice given in the second part of the book. Additionally the book is filled with lots of tips, tricks, and best practices. The book is laid out very well and you always know where in the process you are through the tabs printed on every page. As they teach the steps they walk through a hypothetical situation from start to finish using a Pet Store's sales data that builds throughout the book. This allows you to see the steps in practice. They use Tableau to build the visuals in the book so this makes it a great resource if you're wanting to go beyond the authors' other book Rapid Graphs with Tableau, which focuses on learning the software. But the book is written in such a way as it stands alone from any particular BI software and could easily be used with Excel, Access, Business Objects, Cognos, JMP, Micorstratgy, QlikView, R, SAS, SPSS, or Tibco Spotfire. ### ⭐⭐⭐⭐⭐ A different look than my stat & CS training *by D***F on July 15, 2013* I have really enjoyed this book and found it grew on me as I read it. I think it is an excellent way to think about and even rethink analytics in the real-world. What's most interesting is that some of it is obvious after a year or two of analysis but much of it is not, until you have read it and then you think, of course we should show ROI or percentiles or year over year growth on the same graph! This book is loosely structured around the scientific method but reshaped for addressing business analytics with a decidedly visual bent. They have converted the scientific method to the 7 C's of analysis and have great examples throughout the process. The 7 C's are: Choose questions, Collect data, Check data, Clean data, Chart the data, Customize the analyses and Collaborate the results. I found their tabs on every page (a pictogram of where you are in the 7 C’s) of the book a great way to quickly orient yourself as to which C you are in and what stage of the analytic process you are working in. This book is black and white, which I enjoyed more than I expected since the examples are beautifully illustrated, even without color. In fact, the examples have me rethinking my tendency toward excessive color, which I see may impede my point. Finally, there is great advice for those of us who would rather stay at our desk and program- get out there and ask more questions of the business “owners”, making certain these conversations shape your approach to the analysis and especially how you present your results. I have found this advice quite useful in my work already! ### ⭐⭐⭐ OK for beginners *by S***D on April 3, 2014* Good introduction of concepts but not enough depth if you have any experience in the field. Stephen Few's books provide more depth and are accessible for beginners. ## Frequently Bought Together - The Accidental Analyst: Show Your Data Who's Boss - Information Dashboard Design: Displaying Data for At-a-Glance Monitoring - Storytelling with Data: A Data Visualization Guide for Business Professionals --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.co.uk/products/13906403-the-accidental-analyst-show-your-data-whos-boss](https://www.desertcart.co.uk/products/13906403-the-accidental-analyst-show-your-data-whos-boss) --- *Product available on Desertcart United Kingdom* *Store origin: GB* *Last updated: 2026-05-25*