26 February 2024 Data Visualization in the early 20th century Share this message A hundred years ago, the landscape of data visualization was vastly different from the digital dashboards and interactive charts we are accustomed to today. We want to share with you two books that we recently stumbled upon: “Graphic Methods for Presenting Facts“, published in 1914, and its successor “Graphic Presentation“, published in 1939. Both books are written by engineer Willard C. Brinton and present a fascinating time capsule of the state of the art of data visualization at the time. They remind us that the principles governing the effective presentation of information have deep historical roots, even as the tools and technologies we use have undergone dramatic transformations. We encourage you to explore both books for yourself. Below we’ll share a few excerpts that we found interesting and/or amusing. Some things never change The data doesn’t speak for itself, presentation and story telling matter! Willard C. Brinton, Graphic Methods for Presenting Facts (1914), pp. 1-2 Even in 1914, a simple bar chart was often best “Graphic comparison, wherever possible, should be made in one dimension only. In such a case as this, one-dimension presentation is perfectly feasibile by the user of bars of different lenghts.” Willard C. Brinton, Graphic Methods for Presenting Facts (1914), p. 22 3D presentation barely existed, and it was already a bad idea “In general, graphics work of this kind is much worse than the use of figures alone. There are times when an absence of knowledge is better than incorrect knowledge.” Willard C. Brinton, Graphic Methods for Presenting Facts (1914), p. 27 Heatmaps were already around And they were extremely effective. The visualization below aided in getting millions of Dollars raised for the improvement of public schools in the United States. Willard C. Brinton, Graphic Methods for Presenting Facts (1914), p. 32 And so were misleading charts Both books feature numerous examples of misleading charts, some of them intentional. Of course, the well-known “don’t start the axis at zero to make the numbers look more spectacular” trick is also included. Willard C. Brinton, Graphic Presentation (1939), p. 22 In 1939, pies were not just for dessert Even though Brinton is aware that bar charts are a valid, often better, alternative to pie charts, he treats them as more or less interchangeable in his 1939 book: “In practically every instance in which material is presented in a sector chart, the same information might also be presented in bar charts.” This isn’t surprising, as the book itself is dedicated to William Playfair, the inventor of the pie chart (as well as lots of other visualizations). The preface of the book describes how Brinton became aware of Playfair after publication of his first book. Brinton’s done extensive research on the man and his works, and he’s a fan: “With all that Playfair did to show the effectiveness of graphic chart methods from his first book, published in 1786 at the age of twenty-seven, till his death in 1823, why have not graphic charts become more thoroughly established as a universal language?” Willard C. Brinton, Graphic Presentation (1939), p. 12 Willard C. Brinton, Graphic Presentation (1939), p. 81 Even if the concepts have remained relatively unchanged, the technology hasn’t If fidgetting with settings in your data visualization software of choice seems like a hassle, how about manually creating a sankey chart from one thousand strips of paper? Willard C. Brinton, Graphic Presentation (1939), p. 78 Want a 3D chart? Get out the plywood! Or how about creating a 3D visualization with a figure saw and hundreds of pieces of plywood? Willard C. Brinton, Graphic Presentation (1939), p. 354 Overall, creating data visualizations used to be a lot more work From picking the right paper, pencils, crayons, erasers and ink to cut-out letters, cameras, lantern slides and various printing techniques, getting your visualizations out there sure was a lot of work! After going through these books and learning more about what it was like “back in the day”, we at Bitmetric feel fortunate that we get to use modern solutions like Qlik Sense every day 😉 If you want to explore both books for yourself, they are available in their entirety at the Internet Archive: Willard C. Brinton, Graphic Methods for Presenting Facts (1914) Willard C. Brinton, Graphic Presentation (1939) Data Literacy Ebook Visualization How can we help? Barry has over 20 years experience as a Data & Analytics architect, developer, trainer and author. He will gladly help you with any questions you may have. Call us Mail us 27 November 2024 Structured Data vs Unstructured Data The difference between structured and unstructured data is fundamental to data management and analytics. Here’s an overview of the two types. Qlik 8 October 2024 Artificial Intelligence, Machine Learning, and Deep Learning Explained: How They Impact Your Business In today’s rapidly evolving technological landscape, Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are transforming industries and redefining how businesses operate. In this blog post, we will break down these three definitions and elaborate on them. AI 25 September 2024 Building Ethical AI: Practical Frameworks for Responsible Innovation AI is transforming industries with innovation and efficiency. But with great power comes great responsibility. The real question is: How do you turn ethical principles into actionable guidelines for AI development? And what steps should your team take to make it happen? AI
27 November 2024 Structured Data vs Unstructured Data The difference between structured and unstructured data is fundamental to data management and analytics. Here’s an overview of the two types. Qlik
8 October 2024 Artificial Intelligence, Machine Learning, and Deep Learning Explained: How They Impact Your Business In today’s rapidly evolving technological landscape, Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) are transforming industries and redefining how businesses operate. In this blog post, we will break down these three definitions and elaborate on them. AI
25 September 2024 Building Ethical AI: Practical Frameworks for Responsible Innovation AI is transforming industries with innovation and efficiency. But with great power comes great responsibility. The real question is: How do you turn ethical principles into actionable guidelines for AI development? And what steps should your team take to make it happen? AI