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Magic potions to clean and transform your data 🧙
The fastest development system in the world.
Kirby Plugin for running commands like cleaning the cache from within the Panel, PHP code, CLI or a cronjob
Kubernetes controller that enables timed resource deletion using TTL annotation
Cloud agnostic resource monitoring and janitor tool
Janitor for Azure Resources, ResourceGroups, Deployments and RoleAssignments by ttl
Tampermonkey, Greasemonkey, etc. userscripts
Multiple linear regression models to predict non-airline revenues at DEN airport in R.
cli tool to perform automatic clean up in Openstack based on whitelist file
A web service that allows to configure the https://github.com/ngovil21/Plex-Cleaner script
FinOps AWS Cost Optimization - Lightswitch Pattern
Using advanced machine learning algorithms to predict Home Warranty Renewal success in R.
A Roblox Framework
My Take on the Classic Palmer's Penguins Analysis in R
Data Wrangling in R, Lesson 1 - Working with Existing Variables
A self-made function repository for common R functions and packages used frequently.
This is the Cyclistic bike-share analysis case study, a project capstone of Google Data Analytics brought by Coursera. It consists of 3 of 6 steps of data analysis process which are Prepare-Analyze-Share. (Note: The datasets have a different name because Cyclistic is a fictional company. For the purposes of this case study, the datasets are appropriate and will enable you to answer the business questions. The data has been made available by Motivate International Inc. )
Data scraping, cleaning and visualization of COVID19 in Nigeria
A janitor service for docker to delete old unused images. This is especially useful, but not limited to cluster systems like Kubernetes.
Lists candidates for BitBucket Server Cleanup
Es un espacio en el cual hago ejercicios de visualización para la comunidad de R que habla español
Simple Service Scheduler for AWS ECS Services
Roblox C# typings for howmanysmall's Janitor library
Google Data Analytics Capstone
Visualize spatial data in R Script: Obesity Analysis in the United States.