Category: Data Vizualisation

Feed: R-bloggers. Author: Przemyslaw Biecek. Remote teaching at my university encouraged me to prepare some video materials for Explanatory Model Analysis techniques, i.e. techniques of exploration, explanation and visualisation of predictive models. The pyramid for Explanatory Model Analysis. Left part is focused on a single observation (instance-level or local explanations). Right part is focused on the whole data set (called dataset level or global explanations). In the first row are raw model predictions and model statistics. The second row is related to the analysis of model parts. The third row describes the profile of model behaviour depending on the values ... Read More

Feed: SAS Blogs. Author: Paul Jones. Fintechs are turning up the heat in retail and corporate banking. As smaller, more agile providers have entered the banking market, customers are getting used to a higher level of service – a personalised, digital experience that guides them to make quicker, smarter decisions about their finances. For traditional banks to compete, they need to transform the way they operate. On the retail banking side, that means digitising customer-facing services. No queuing in branches, no paperwork. And when customers apply for a credit card or loan, they get a decision in seconds. Meanwhile, on ... Read More

Feed: Planet PostgreSQL. This is my first blog in a series of SQL optimization blogs. So expect some basic information in here along with some nice insights. My aim is to help you walk through a complete process of understanding and optimizing queries for improved performance. A PostgreSQL server attempts to find the most effective way of building a result set for the query. The first step in that direction is the ability to understand what the “EXPLAIN” command is.  When a statement is sent to a PostgreSQL server for execution, it must decipher various parts of that query and ... Read More

Feed: R-bloggers. Author: Fabian Dablander. [This article was first published on Fabian Dablander, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Last summer, I wrote about love affairs and linear differential equations. While the topic is cheerful, linear differential equations are severely limited in the types of behaviour they can model. In this blog post, which I spent writing in self-quarantine to prevent further spread of SARS-CoV-2 — take that, cheerfulness — I ... Read More

Feed: SAS Blogs. Author: Guest blogger. Transforming into an analytics-powered company is the ambitious goal of many of today’s organisations. The key to success relies not only on the adoption of advanced technologies but mostly on people who are able to connect artificial intelligence to the business processes, taking advantage of algorithms, insights and automation. Among those visionary enterprises, ERGO Group AG is one of the primary insurance companies in Germany, as well as in other international markets, with more than 40,000 employees and sales partners worldwide and a total premium income of 18,7 billion euros. They offer a broad ... Read More

Feed: The Information Lab. Author: Adi McCrea. 11 March, 2020 | Adi McCrea Web Mercator – the challenge you never knew you had? How to solve a Tableau “distortion” in Alteryx The Earth is a geoid – a 3D shape closely resembling a sphere. In order to represent this 3D object on a 2D plane (a paper map or a computer screen) it is necessary to “flatten” the object in some way. There are many, many ways in which we can “flatten” the 3D object. Each way produces a slightly different view of the Earth, and preserves slightly different characteristics ... Read More

Feed: Blog – ArangoDB. Author: Kaveh Vahedipour. In each verse, a decision awaits us and we can’tchoose to close our eyes and let instinct work on its own.Octavio Paz tldr Please consider monitoring your productive ArangoDB installation as part of the best practices strategy. It is effortlessly done using established services Prometheus for data collection and Grafana for visualisation and alerting. Best practices Many of us have come to experience database infrastructure like a solid rock to rely upon when the going gets rough. It is the mission statement of any database, that comes to my mind right now: Trust ... Read More

Feed: R-bloggers. Author: cswindell. Happy 20th BiRthday, R! If you’re kind enough to follow my blogposts, watch my YouTube videos or attend any of my presentations, you’ll be very familiar with my belief that data-driven success in any organisation is two-thirds due to people and processes, and only a third due to technology. Am I being unduly hard on the technology? A poor worker, it is said, always blames their tools, and if that’s accurate, then we must surely also credit the tools when the workers get it right. Today seems like an appropriate day to shine the spotlight on ... Read More

Feed: The Information Lab. Author: jack.parry. 21 February, 2020 What’s new in Tableau Prep 2020.1: LODs and Analytical Calculations Tableau has just dropped its full release of 2020.1 across the whole product suite and this means some exciting new features for Tableau Prep! These are of course the ability to use level of detail (LOD) calculations and to apply rank calculations (analytic calculations) to your data (as demoed by the devs at TC19). These additions have been highly sought after for a long time and the new techniques are most definitely going to save the prep community time and effort ... Read More

Feed: R-bloggers. Author: free range statistics - R. BMI has an expectations management problem Body Mass Index (BMI) is an attempt to give a quick back-of-envelope answer to the question “if someone weighs W kg, is that a lot or not very much?” Clearly the answer to that question has to take into account at a minimum the person’s height; in general, whatever may constitute a healthy weight, it has to be higher for tall people. So BMI – the weight (in kilograms) divided by the height (in metres) squared – gives a scaled version of weight that aims to ... Read More