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In the previous section of this series we looked at basic summary statistics. In this article we start to consider the relationships between variables in our dataset. As part of your Explanatory Data Analysis it is worth looking for correlation between variables. Generally, when referring to correlation we mean the
A lo largo de 2020, las cadenas de suministro estuvieron bajo gran estrés. La pandemia y los altibajos del entorno económico hicieron que las empresas enfrentaran complicados desafíos para seguir produciendo y satisfacer los nuevos patrones de demanda. Si bien privó la incertidumbre, también fue una oportunidad para que las
Thousands of SAS users are migrating from SAS University Edition to SAS OnDemand for Academics (ODA). I thought I would share some of my thoughts, having just finished two books using ODA (Getting Started with SAS Programming: Using SAS Studio in the Cloud and A Gentle Introduction to Statistics Using
Within both the business world and our personal lives, data is becoming increasingly intrinsic to everything we do. Whether it’s picking which restaurant to order from, a tailored advert or figuring out the quickest route home, data is a part of our everyday decision making. For businesses, the value of
Art evokes an emotional response in the viewer, but sometimes art also evokes a cerebral response. When I see patterns and symmetries in art, I think about a related mathematical object or process. Recently, a Twitter user tweeted about a painting called "Phantom’s Shadow, 2018" by the Nigerian-born artist, Odili
El fraude es considerado el principal flagelo del sector asegurador en la actualidad. Un estudio publicado por la Asociación de Certificadores de Fraude de Estados Unidos (ACFE) habla de pérdidas estima las pérdidas anuales por fraude en 3.600 millones de dólares y eso solo tomando en cuenta cerca de 2.500
Some claim that deaths in the US have been increasing, and some claim they have been decreasing. Which do you think is correct? Let's take a look at the data ... The Data Here in the US, the Centers for Disease Control and Prevention is a good/official source of data
Economists and forecasters have painted a gloomy picture of the impact of the COVID-19 pandemic on UK society. The impact of lockdowns and travel restrictions on many sectors of the economy was expected to put businesses at risk and pull millions of families into financial hardship. In the energy and
In this Q&A with MIT/SMR Connections, Gavin Day, Senior Vice President of Technology at SAS, shares real-life examples of artificial intelligence (AI) at work, discusses picking the right problems to solve with AI, dispels a common misconception about AI, and defines AI success. Q: Could you describe some especially interesting
Throughout its history, the United States has invested in infrastructure that leverages new technologies and helps society and its economy thrive. With the advent of trains in the early 1800s, four of the country’s five transcontinental railroads were built with assistance from the federal government. When cars replaced horses and
As an example, when using ordinary least squares regression (OLS), if your response or dependent attribute’s residuals are not normally distributed, your analysis is likely going to be affected and typically not in a good way. The farther away your input data is from normality, the impact on your model
Are you bothered by a runny nose for hours after eating certain foods? Or brain fog or joint pain the morning after straying from your normal eating pattern? Do you avoid eating in unfamiliar restaurants for fear of the aftermath? If any of these scenarios sound familiar, you may have
Beloved Dummies: Let’s demystify another #AI-hype today: predictive maintenance. Yet another one of these buzzwords that require batteries of #DataScientists and truckloads of programmers. Let me show you how Dummies like you and me can address this. What is predictive maintenance? So we’re talking maintenance of machinery. Sure, you can
"With great power comes great responsibility." I'm not sure exactly where this quote comes from, but I think everyone should keep it in mind when creating graphs and maps! There are many design decisions that can influence how the end user perceives the data in a graph. For example: The
Durante la historia reciente, los gobiernos se han enfrentado a fenómenos económicos que amenazan su estabilidad financiera, creando desempleo y acelerando la urgencia de prestar servicios de apoyo social. Recientemente, una emergencia sanitaria, la de COVID-19, sacudió dicha estabilidad y disparó la demanda de recursos de salud debido a la