## Recently Published

##### Maternal mortality using World Bank Open Data

This R-markdown post introduces the WDI library to interact with the World Bank Open Data API.

##### Working with bivariate data in R

Describing the expression and visualization of bivariate categorical and numerical variables.

##### Prediction intervals

A short description of prediction intervals, with an example.

##### Scatter plots using Plotly

Scatter plots and bubble charts using Plotly for R.

##### Working with univariate data

Describing and visualizing univariate data in R.

##### Histograms using Plotly for R

A post on the use of Plotly to create histograms in R

##### Bar chart using Plotly

Create bar charts using Plotly for R.

##### Starting with ggplot2

Get going with plotting using ggplot2.

##### Logistic regression using R

This post describes the principals of multivariate logistic regression using R

##### Biserial correlation in R

Biserial and point-biserial correlations allows for the calculation of a correlation coefficient if one of the variables is discrete in nature.

##### Testing assumptions for the use of parametric tests

In this post with R code snippets, I discuss some of the assumptions that must be met for the use of parametric tests