Data analytics, statistics, and more
With the rapid spread in the novel coronavirus across countries, the World Health Organisation and several countries have published latest results on the impact of COVID-19 over the past few months. The objective of this post is to demonstrate how visualization using the R programmin language helps to derive informative insights from data sources.
This is a perfunctory exploration of the early transmission dynamics of coronavirus disease 2019 (COVID-19) in mainland China. The basic reproduction number and the per day infection mortality and recovery rates are estimated using a classic SIR compartmental model of communicable disease outbreaks.
Feature Selection is a core concept in machine (statistical) learning that can have significant impacts on model performance. This post examines various methods to identify the most important predictor variables in machine learning that explain the variance of the response variable.
Use the functionality of R and R packages to create both simple maps and complex maps containing many different layers.
Often data from more than two groups needs to be evaluated, usually on the basis of a representative value from each group. This post examines the use of survival analysis techniques to test whether surface water samples containing a high frequency of censored (non-detect) values differ in dissolved lead concentration between various watersheds.