The author explores the concept of embedding actual data into logos, moving beyond symbolic representations. This idea has resurfaced in their branding work, prompting research into historical and contemporary examples. The author defines a logo as a brand's primary mark, excluding illustrations or separate data visualizations. They distinguish logos embedding data from those merely inspired by it by asking if the data exists outside the logo and if the logo would change if the data did.The earliest discovered example is the 1903 Key Route logo, a stylized map of streetcar routes that also formed the company's name. This shifted from data embedding to symbolism as the network evolved. Scientific representations also emerged, like the International Atomic Energy Agency's emblem, which transitioned from a symbolic atom to a specific visualization of beryllium. More recently, the VIZBI conference logo uses animated letters based on protein structures, showcasing a blend of scientific visualization and abstract representation.With the rise of personal computing, charts and graphs became common elements in logos, such as the Coalar and Open Knowledge logos. These examples visually represent datasets, though often require explanation to be fully understood. Some logos, like the APEC CEO Summit identity, encode multiple datasets, allowing for variations. Oppenheim law firm's logo uses letter frequency from partner names to create unique radial visualizations.Dynamic logos, representing data as flowing information, also emerged, exemplified by Seagate's "Living Logo" featuring an infinite flow of tiny images. Generative identities, like the Visit Nordkyn logo, are driven by real-time environmental data, adapting their appearance. Similarly, the Adelaide Biennial's visual identity uses a programmatic typeface that mutates based on live environmental and financial data. These dynamic logos, while innovative, present challenges in consistent brand recognition due to their evolving nature.