for study

A guide on creating a linear regression model in R using plottly and ggplot.

This analysis investigates whether cost-of-living pressures are driving financial hardship among residential electricity customers. Using key performance indicators from the Compliance and Performance Reporting Guideline (CPRG), the study explores trends in disconnection risk, arrears growth, and tailored financial assistance participation. Key findings reveal a rising number of households struggling to pay their bills, yet actual disconnections have declined. While overall arrears have fallen by 5.85%, this is primarily driven by a drop in low-level debts, while higher debt brackets continue to grow. Additionally, tailored assistance enrollment is increasing, but retention remains a challenge, with 65.4% of program exits due to non-compliance. These insights provide data-driven considerations for policymakers and energy providers looking to strengthen consumer protections and improve financial stability.

This file contains how to do preprocessing data

This Shiny application, named "Simple Shiny Calculator," allows users to input a number and calculate its square.

La campaña buscará involucrar a los habitantes de diversas comunidades, incluyendo poblados rurales así como a ciudadanos de áreas urbanas, y prestará especial atención a mujeres, niños y grupos vulnerables.

Proportionality of generics vs specifics on inductive potential