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Reseller News Join Reseller News Sign up to gain exclusive access to email subscriptions, event invitations, competitions, giveaways, and much more.Sign up now Interpreting data wrangling and exploratory data Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out Credit: Dreamstime Novice data scientists sometimes have the notion that all they need to do is to find the right model for their data and then fit it. Nothing could be farther from the actual practice of data science. In fact, data wrangling (also called data cleansing and data munging) and exploratory data analysis often consume 80 per cent of a data scientist’s time. ....
Will Data Eat the World? Yes, With Some Help from Open Source Alfred Essa, VP, Analytics and R&D, McGraw-Hill Education Alfred Essa, VP, Analytics and R&D, McGraw-Hill Education “Six decades into the computer revolution, four decades since the invention of the microprocessor, and two decades into the rise of the modern Internet, all of the technology required to transform industries through software finally works and can be widely delivered at global scale.”
– Mark Andreesen In 2011 Marc Andreesen famously made the declaration that “software is eating the world.” Five years later software’s victory is complete. The world now runs on software and every competitive company, at its core, is a software company. ....
“The simple graph has brought more information to the data analyst’s mind than any other device.” John Tukey This tutorial will teach you how to visualise your data using plotnine. Python has many packages for making graphs, but plotnine is one of the most elegant and most versatile. plotnine implements the grammar of graphics, a coherent system for describing and building graphs. With plotnine, you can do more faster by learning one system and applying it in many places. If you’d like to learn more about the theoretical underpinnings of plotnine before you start, I’d recommend reading The Layered Grammar of Graphics. ....
Science seeks the basic laws of nature. Mathematics searches for new theorems to build upon the old. Engineering builds systems to solve human needs. The three disciplines are interdependent but distinct. Very rarely does one individual simultaneously make central contributions to all three â but Claude Shannon was a rare individual. The Bit Player â and someone whose work and research philosophy have inspired my own career â Shannon is not exactly a household name. He never won a Nobel Prize, and he wasnât a celebrity like Albert Einstein or Richard Feynman, either before or after his death in 2001. But more than 70 years ago, in a single groundbreaking paper, he laid the foundation for the entire communication infrastructure underlying the modern information age. ....