Analytics on Kailas Venkitasubramanian

Make your code purr - A short intro to iterating using PURRR in R

Tue, 10 May 2022 00:00:00 +0000

Introducing ‘Purrr’

What’s programming without iterating? Purrr is a package that provides a set of tools for working with functions and vectors in R.

Built on top of the map functions (e.g., lapply(), sapply(), etc.) in base R Purrr provides a more consistent and modern syntax. Purrr is particularly useful for performing repeated operations on lists and data frames. It provides a collection of functions that make it easier to apply functions to data, iterate over lists and vectors, and manipulate data in a flexible way.

CRDT Technical Operations Manual

Mon, 04 Apr 2022 00:00:00 +0000

Summary

Objective(s) and Scope

The goal of this project is to create a comprehensive technical operations manual that documents all operational processes of the Charlotte Regional Data Trust The manual will serve as a single point of reference and provide clear, up-to-date information on all operational procedures.

The manual will be created using Rmarkdown, a tool that allows for the creation of rich, interactive documents. The manual will be hosted as a website that can be easily updated and maintained by team members.

CRDT Data Documentation Project

Thu, 03 Mar 2022 00:00:00 +0000

Summary

Objective(s) and Scope

The project seeks to enhance the quality and completeness of CRDT’s data documentation, and establish a centralized and organized infrastructure for storing and managing metadata.

The project includes reviewing the existing metadata, developing standardized data documentation (metadata, codebook, data dictionary), and implementing a data infrastructure for storing and organizing metadata for all databases.

Expected Outcomes

Improved data documentation quality and completeness.
Consistent and standardized data documentation across all databases.
A centralized and organized infrastructure for storing and accessing metadata.

CRDT Data Integration Project

Tue, 05 Oct 2021 00:00:00 +0000

Summary

Background

This is part of the CRDT Data Infrastructure project

Objective(s) and Scope

This project aims to develop improved data integration mechanisms for CRDT’s data assets, ensuring accurate and consistent data integration. This involves the development of an entity resolution framework and the implementation of probabilistic record linkage techniques to enhance the CRDT’s data integration processes.

The project will start with a comprehensive review of CRDT’s current data integration mechanisms and identification of areas for improvement. Based on this review, an entity resolution framework will be developed to ensure accurate identification of entities across different data sources. Probabilistic record linkage techniques will be implemented to link records from different data sources and provide a unified view of the data.