It is not clear what the intellectual history of the last 200 years would have looked like without the philosophy of G.W.F. Hegel, but it is clear that it would have looked different. His vast intellectual system was taken up by thinkers from left to right, and from very different philosophical schools. This volume brings together accessible, concise essays from leading scholars that present important currents of Hegelian thought in different European countries, including pre-revolutionary Russia, from the 19th to the 21st century. It unites a range of very different forms of (Non-Marxian) Hegelianisms and Anti-Hegelianisms, showing similarities as well as differences. Embedding them in their cultural and intellectual contexts, it demonstrates the various encounters between philosophy, politics and personal lives that Hegel's philosophy inspired.

In a broad interdisciplinary perspective, established experts and leading young scholars bring together important currents of Hegelianism in Europe from the 19th to the 21st century to trace the political, social and intellectual contexts in which Hegel's philosophy was taken up and inspired very different forms of Hegelianism and Anti-Hegelianism.

A practical, skill-based introduction to data analysis and literacy We are swimming in a world of data, and this handy guide will keep you afloat while you learn to make sense of it all. In Data Literacy: A User's Guide, David Herzog, a journalist with a decade of experience using data analysis to transform information into captivating storytelling, introduces students and professionals to the fundamentals of data literacy, a key skill in today's world. Assuming the reader has no advanced knowledge of data analysis or statistics, this book shows how to create insight from publicly-available data through exercises using simple Excel functions. Extensively illustrated, step-by-step instructions within a concise, yet comprehensive, reference will help readers identify, obtain, evaluate, clean, analyze and visualize data. A concluding chapter introduces more sophisticated data analysis methods and tools including database managers such as Microsoft Access and MySQL and standalone statistical programs such as SPSS, SAS and R.