Data Simplification: Chapter Synapses

Over the next few weeks, I will be blogging on topics selected from Data Simplification: Taming Information With Open Source Tools. Those of you who are computer-oriented know that data analysis typically takes much less time and effort than data preparation. Moreover, if you make a mistake in your data analysis, you can often just repeat the process, using different tools, or a fresh approach to your original question. As long as the data is prepared properly, you and your colleagues can re-analyze your data to your heart's content. Contrariwise, if your data is not prepared in a manner that supports sensible analysis, there's little you can do to extricate yourself from the situation. For this reason, data preparation is, in my experience, much more important than data analysis. Throughout my career, I've relied on simple open source utilities and short scripts to simplify my data, producing products that were self-explanatory, permanent, and that could be merged with other types of data. Hence, my book. Blog readers can use the discount code: COMP315 for a 30% discount, at checkout.Data Simplification: Taming Information With Open Source ToolsPublisher: Morgan Kaufmann; 1 edition (March 23, 2016)ISBN-10: 0128037814ISBN-13: 978-0128037812Paperback: 398 pagesDimensions: 7.5 x 9.2 inches Chapter 1, The Simple Life, explores the thesis that complexity is the rate-limiting factor in human development. The greatest advances in human civilization and the most dramatic evoluti...
Source: Specified Life - Category: Information Technology Tags: computer science data analysis data repurposing data simplification data wrangling information science simplifying data taming data Source Type: blogs