Overview – Next Generation Shiny Apps with {bslib}
No Clocks
LLM Text - Perfect Agent Context for any URL
Shiny
Shiny is a package that makes it easy to create interactive web apps using R and Python.
Shiny was designed with an emphasis on distinct input and output components in the UI. Inputs send values from the client to the server, and when the server has values for the client to display, they are received and rendered by outputs.
You want the server to trigger logic on the client that doesn’t naturally relate to any single output.
You want the server to update a specific (custom) output on the client, but not by totally invalidating the output and replacing the value, just making a targeted modification.
You have some client JavaScript that isn’t related to any particular input, yet wants to trigger some behavior in R. For example, binding keyboard shortcuts on the web page to R functions on the server, or alerting R when the size of the browser window has changed.
3MW (Shiny's module-first approach)
Weekly bite-sized tips on DataViz, Shiny and Stats/Machine Learning.
Signing a FindLaw Contract? Read This First
FindLaw is one of the biggest players in the legal marketing industry, offering a range of services to help law firms increase their online visibility and attract clients. However, despite its size and reputation, FindLaw is not without its problems. Many law firms have reported difficulties in working with them, and if you’re thinking of…
What are the Different Layers and Parts of a Design System?
What is a successful design system made of? Learn about the four layers of a design system and the parts that make up each of these layers.
Actuarial Process Optimization—A Case for Using Modern Technology in Actuarial Domain
Actuarial Process Optimization is a framework for using technology to support the actuary of the future. In this article, we discuss the capabilities of new technologies and explore examples where they can be used to aid with providing strategic business direction, optimizing skillsets and use of technology, and maintaining governance, control, and risk frameworks.
Innovation in technology has disrupted nearly every industry creating mounting internal and external pressures on organizations to accelerate the adoption of their digital agendas. The COVID-19 pandemic further brought to light the need for technology to be adaptable, powerful, and scalable. Insurance companies have been trying to keep up with the pace of innovation, primarily focusing on adopting modern technology on the consumer experience front.
Many have modernized the front office processes that support application, underwriting, and claim handling. The significant benefits achieved through process optimization and the use of modern technology have been the topic of discussions at many insurance conferences and publications.
As the insurance industry leaps into the future, actuaries must not only proactively refine their roles and responsibilities within insurance companies, but also seek opportunities for improvements and optimization in their day-to-day work. This article will focus on how technology and actuarial process optimization will support the role of the future actuary as a leader, risk manager, and technologist.
Opportunities for APO
Actuaries are valuable and strategically important resources to insurance companies. We are trained both on the job and through an intensive education and exam curriculum to study and own insurance risk. As highly capable professionals, actuaries are often self-reliant, and are interested in owning all technology tools, data and processes that support their daily jobs. However, this hands-on approach can lead to performing many tasks that do not require actuarial expertise. By occupying ourselves with various high effort but low value tasks, we often neglect to focus on higher value tasks that are truly valuable to the future of our organization. Advancements in technology and the desire for lean operations have contributed to many insurers evaluating their strategic direction and the role of the actuary of the future, shifting their focus onto highest value tasks.
Unnecessarily complex and error prone ETL, production and reporting workflows.
Time and resources wasted on resolving errors and tracing back complex process steps.
Production and process errors that can result in misstatements and delays in reporting.
Multiple unvalidated spreadsheets with overlapping functionalities.
Multiple sources of information, but no single “source of truth.”
Storage and processing time wastage.
GitHub - mwrock/packer-templates: Templates for creating vagrant boxes
Templates for creating vagrant boxes. Contribute to mwrock/packer-templates development by creating an account on GitHub.
Cloud migration and application modernization explained
Get the most out of cloud transformation with this look at key components: cloud migration, cloud-native architecture and application modernization.
Cloud computing explained
Understanding the types of cloud services and the four main cloud configuration options that can drive you company's strategic goals.
BagerBach.com | Christian Bager Bach Houmann
Christian Bager Bach Houmann - I'm a software engineering student from Denmark with a passion for learning, productivity, and problem-solving. Let's learn together.
Designing a Personal Knowledgebase – A Curious Mix
The Sad State of Personal Knowledgebases – Marcus Vorwaller
Building an open source personal knowledge base | Hacker Noon
The Weekly Review: A Productivity Ritual to Get More Done
A weekly review is an opportunity to direct your life with intention – reflect on the past week, plan for the week ahead, and ensure your to-do list is aligned with your bigger goals.
R shiny app dashboards in 2021: The Ultimate Guide for Busy People
In this guide you’ll find both original content and curated resources to: + Build R shiny apps from scratch + Select the optimal dashboard framework for your R shiny app dashboard + R packages to build interactive, professional quality data visualization + Improve the user experience and dashboard speed tricks + All the ways you can deploy and share R shiny app dashboards + Lessons from a dashboard veteran for better R shiny app dashboards
12 Ways to Upgrade Your Weekly Review
Fans of GTD will already be familiar with the weekly review. Weekly reviews are designed to give you uninterrupted thinking time each week. Instead of
The Weekly Review: A Productivity Ritual to Get More Done
A weekly review is an opportunity to direct your life with intention – reflect on the past week, plan for the week ahead, and ensure your to-do list is aligned with your bigger goals.
The Weekly Review: The Ultimate Guide For Getting Things Done - Weekdone
Weekly review is a great productivity strategy at personal and team levels. Here, we highlight how weekly review fits into GTD and how to get started.