No Clocks

No Clocks

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Advanced Tidyverse
Advanced Tidyverse
Use piped workflows for efficient data cleaning and visualization.
·sesync-ci.github.io·
Advanced Tidyverse
Summarizing and Querying Data from Excel Spreadsheets Using eparse and a Large Language Model
Summarizing and Querying Data from Excel Spreadsheets Using eparse and a Large Language Model
Editor's Note: This post was written by Chris Pappalardo, a Senior Director at Alvarez & Marsal, a leading global professional services firm. The standard processes for building with LLM work well for documents that contain mostly text, but do not work as well for documents that contain tabular data (like spreadsheets). We wrote about our latest thinking on Q&A over csvs on the blog a couple weeks ago, and we loved reading Chris's exploration of working with csvs and LangChain using agents, chai
·blog.langchain.dev·
Summarizing and Querying Data from Excel Spreadsheets Using eparse and a Large Language Model
Agentic AI for Data Management and Warehousing
Agentic AI for Data Management and Warehousing
Explore how Agentic AI for data management enhances automation, governance, and decision-making by leveraging intelligent workflows, real-time insights
·xenonstack.com·
Agentic AI for Data Management and Warehousing
Sports and Fantasy Data from Fantasypros
Sports and Fantasy Data from Fantasypros
The goal of the fantasypros R package is to provide easy and reproducable access to data provided on the fantasypros website. The intital focus is on NFL and fantasy football data, but other sports are planned to be added
·jpiburn.github.io·
Sports and Fantasy Data from Fantasypros
Ploomber AI Editor
Ploomber AI Editor
Create custom Streamlit and Shiny R apps effortlessly with AI assistance. Design, code, and deploy data apps in minutes.
·editor.ploomber.io·
Ploomber AI Editor
Add Authentication and SSO to Your Shiny App
Add Authentication and SSO to Your Shiny App
Learn how to implement strong authentication and SSO in Shiny apps with Descope. This guide integrates both OIDC and SAML with Posit Connect for seamless login.
·descope.com·
Add Authentication and SSO to Your Shiny App
Powerful Classes for HTTP Requests and Responses
Powerful Classes for HTTP Requests and Responses
In order to facilitate parsing of http requests and creating appropriate responses this package provides two classes to handle a lot of the housekeeping involved in working with http exchanges. The infrastructure builds upon the rook specification and is thus well suited to be combined with httpuv based web servers.
·reqres.data-imaginist.com·
Powerful Classes for HTTP Requests and Responses
rcrd (record) S3 class — new_rcrd
rcrd (record) S3 class — new_rcrd
The rcrd class extends vctr. A rcrd is composed of 1 or more fields, which must be vectors of the same length. Is designed specifically for classes that can naturally be decomposed into multiple vectors of the same length, like POSIXlt, but where the organisation should be considered an implementation detail invisible to the user (unlike a data.frame).
·vctrs.r-lib.org·
rcrd (record) S3 class — new_rcrd
Deep R Programming
Deep R Programming
Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for data science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that they can tackle any problem related to data wrangling and analytics, numerical computing, statistics, and machine learning. This textbook is a non-profit project. Its online and PDF versions are freely available at https://deepr.gagolewski.com/.
·deepr.gagolewski.com·
Deep R Programming
On Quosures
On Quosures
Exploring Non-Standard Evaluation with rlang's Quosures.
·brodieg.com·
On Quosures