Over 50 years have passed since the Black Hills flood swept through western South Dakota in 1972, leaving tragedy in its wake. This book explores the extent of the damage through images that highlight Rapid City, Keystone, and the surrounding Black Hills. Dignitaries, including Sen. George McGovern, visited the Black Hills in the aftermath; these visitors, along with the actions taken for recovery, make an appearance in the story. Today, the Black Hills are a tourist destination, with Mount Rushmore National Memorial, Crazy Horse Memorial, and Custer State Park being the most well-known attractions. /Corey Christianson has spent years researching the 1972 Black Hills flood. She was a part of the 50th commemoration of the flood, for which she, along with a team of talented individuals, created an award-winning exhibit about the flood and the recovery of the Black Hills. The images in this book are from the Rapid City Public Library, US Air Force, Keystone Area Historical Society, and other organizations that strive to remember, honor, and commemorate the flood. /
Summary Visualizing Graph Data teaches you not only how to build graph data structures, but also how to create your own dynamic and interactive visualizations using a variety of tools. This book is loaded with fascinating examples and case studies to show you the real-world value of graph visualizations. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Assume you are doing a great job collecting data about your customers and products. Are you able to turn your rich data into important insight? Complex relationships in large data sets can be difficult to recognize. Visualizing these connections as graphs makes it possible to see the patterns, so you can find meaning in an otherwise over-whelming sea of facts. About the Book Visualizing Graph Data teaches you how to understand graph data, build graph data structures, and create meaningful visualizations. This engaging book gently introduces graph data visualization through fascinating examples and compelling case studies. You'll discover simple, but effective, techniques to model your data, handle big data, and depict temporal and spatial data. By the end, you'll have a conceptual foundation as well as the practical skills to explore your own data with confidence. What's Inside Techniques for creating effective visualizations Examples using the Gephi and KeyLines visualization packages Real-world case studies About the Reader No prior experience with graph data is required. About the Author Corey Lanum has decades of experience building visualization and analysis applications for companies and government agencies around the globe. Table of Contents PART 1 - GRAPH VISUALIZATION BASICS Getting to know graph visualization Case studies An introduction to Gephi and KeyLines PART 2 VISUALIZE YOUR OWN DATA Data modeling How to build graph visualizations Creating interactive visualizations How to organize a chart Big data: using graphs when there's too much data Dynamic graphs: how to show data over time Graphs on maps: the where of graph visualization
Identifies the impact of Einstein's theories of relativity on the history of religion, citing his self-rejected invention of Lambda to cite God's metaphysical role in the universe and considering such topics as dark energy and dark matter.
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