Natural Language Processing Presentation: Shiny app word prediction. This is submitted as part of a Coursera non-credit JHU course project. Link to Shiny app in slide 4. It should not be interpreted as expert opinion.

Natural Language Processing: Exploratory analysis of three corpora, as part of a Coursera non-credit JHU course project. It should not be interpreted as expert opinion.

Reproducible and interactive presentation (banana prices in Canadian provinces) with link to Shiny app. This is edited from a version submitted through Github in May 2024, as part of a Coursera non-credit JHU course project. It should not be interpreted as expert opinion.

Slide with interactive Plotly treemap plot. This was initially submitted through Github in April 2024, as part of a JHU Coursera non-credit JHU course project. It should not be interpreted as expert opinion.

HTML site with interactive Leaflet map. This was initially submitted through Github in April 2024, as part of a Coursera non-credit JHU course project. It should not be interpreted as expert opinion.

Data analysis using Machine Learning. A more detailed version of this analysis was posted on GitHub in April 2024, as a Coursera non-credit JHU course project. It should not be interpreted as expert opinion. Details were removed so that replication would still require going through the analysis steps.

Towards reproducible data cleaning and exploratory analysis using R Markdown. Part of a Coursera non-credit JHU course project. The analysis itself should be considered incomplete. The contents should not be considered expert scientific opinion, which would require a more thorough treatment of the full, up-to-date data set.

Data cleaning using R. This notebook was originally posted on Kaggle in April 2023 as part of the Google Data Analytics capstone non-credit course project (delivered through Coursera). The assignment asks to analyse the data from a hypothetical bike share service and find information that could be used to increase membership. The objective of this assignment is to use R to conduct basic analysis and summary graphs. This document describes some of the steps undertaken to clean the data prior to analysis. It should not be interpreted as expert opinion.

Exploratory data analysis using R. This notebook was originally posted on Kaggle in April 2023 as part of the Google Data Analytics capstone non-credit course project (delivered through Coursera). The assignment asks to analyse the data from a hypothetical bike share service and find information that could be used to increase membership. The objective of this assignment is to use R to conduct basic analysis and summary graphs. It should not be interpreted as expert opinion.