6 simple Shiny things I have learned from creating a somewhat small app
I recently built a small Shiny app where I had to search for how to do a lot of things. Here are 6 things I learned doing that. Maybe a Shiny beginner will find something useful in here.
Finish your insurance actuarial modeling in hours, not days
Because of existing and upcoming regulations, insurers perform quite a bit of analysis over their assets and liabilities. Actuaries need time to review and correct results before reviewing the repo...
cas_loss_reserve_db: CAS Loss Reserve Triangle Database in problemofpoints/reservetestr: Provides a Framework for Testing Loss Reserve Methods
Full dataset from the Casualty Actuarial Society's (CAS) loss reserving database. From the CAS website: "Our goal is to prepare a clean and nice data set of loss triangles that could be used for claims reserving studies. The data includes major personal and commercial lines of business from U.S. property casualty insurers. The claims data comes from Schedule P - Analysis of Losses and Loss Expenses in the National Association of Insurance Commissioners (NAIC) database." This package pulls the by line .csv files from the CAS website and creates a tidy data set. Column names were changed from the original data to make them more user friendly.
Learn how to connect Microsoft Excel to a database in Azure SQL Database or Azure SQL Managed Instance. Import data into Excel for reporting and data exploration.
Insurance-Management-System/l7.sql at master · shah-deep/Insurance-Management-System
Database Management System for an Insurance Company. Made in PHP. - Insurance-Management-System/l7.sql at master · shah-deep/Insurance-Management-System
IaC uses code to provision, configure, and manage infrastructure. In part one of this IaC miniseries, I will introduce you to the basic concepts and explain some of the benefits.
Push your code and see your builds happening in your terminal with "git deploy"
By extending git on your local machine with just one small Python script, you can see your Cloud Build triggers deployed as you push your code up to GitHub.
In this article we will explore how to create custom stored procedures using R which is basically an R function that can be called from a SQL Server stored procedure.
git can be configured to push and pull from many locations at once, enabling you to store your code on two different platforms while only maintaining one local copy. Here’s how to set it up.