The HUD-eGIS Storefront provides a one-stop shop where users can search for and discover HUD's geospatial datasets, web-based mapping, tools, and application program interfaces (APIs).
The HUD-eGIS Storefront provides a one-stop shop where users can search for and discover HUD's geospatial datasets, web-based mapping, tools, and application program interfaces (APIs).
Transform your R Shiny applications into standalone desktop apps with nhyris. This minimal framework leverages Electron to simplify packaging and distribution, ensuring your Shiny apps are cross-platform and easy to deploy. Learn how to get started, customize your project, and build your first Electron application with nhyris.
How to Find Rental Comps and Set Market Rents for Real Estate Investments | HelloData.ai
Whether it’s for a multifamily property or single-family rental (SFR), every rental property investor wants to collect the highest rent possible to maximize the value of their investment. But it can be difficult to find good sources of rental market data, and challenging to determine which properties are truly relevant rent comps for your investment.
4 Steps to Perform a Rent Survey for Your Investment Property
If you're ready to take the next step with your apartment building investments, download ALL my resources for FREE at this link: https://themichaelblank.com/vault Getting a handle on the prevailing market rents is critical for the business plan of your rental or multifamily property. Your property’s rents may be under market, but how do you know
Receive Market Survey For Apartments Reports | Smart Apartment Data
Get an accurate visual analysis of the competition with the Market Survey For Apartments report, giving you easy-to-read graphs and charts rather than raw data.
An image generator with 20+ metrics about your GitHub account such as activity, community, repositories, coding habits, website performances, music played, starred topics, etc. that you can put on your profile or elsewhere !
The basics of roxygen2 tags and how to use them for documenting functions.
Examples
@examples provides executable R code showing how to use the function in practice. This is a very important part of the documentation because many people look at the examples before reading anything. Example code must work without errors as it is run automatically as part of R CMD check.
For the purpose of illustration, it’s often useful to include code that causes an error. You can do this by wrapping the code in try() or using \dontrun{} to exclude from the executed example code.
For finer control, you can use @examplesIf:
#' @examplesIf interactive()
#' browseURL("https://roxygen2.r-lib.org")
Instead of including examples directly in the documentation, you can put them in separate files and use @example path/relative/to/package/root to insert them into the documentation.
All functions must have examples for initial CRAN submission.
The tidyprompt package allows users to prompt and empower their large language models (LLMs) in a tidy way. It provides a framework to construct LLM prompts using tidyverse-inspired piping syntax, with a library of pre-built prompt wrappers and the option to build custom ones. Additionally, it supports structured LLM output extraction and validation, with automatic feedback and retries if necessary. Moreover, it enables specific LLM reasoning modes, autonomous R function calling for LLMs, and compatibility with any LLM provider.
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I love this technique for getting up-to-date suggestions from my AI coding assistant
Trust. Without trust, AI coding assistants won’t become a default tool in a developer’s toolbox. Trust is the #1 concern of devs today, and it’s something I’ve struggled wit…