My work for the nine courses in Harvard's data science program, each with notes/assignments. Work in progress.

Data cleaning processes for the RCCE assessment

The scope of project is to read, load, and clean test and training data, append data frames and then label them. We have used dplyr package.

Course work material

📝🤡🛠 Tools for Working with Qualtrics Data

Data wrangling and analysis in support of the report, "Assessing the impact of conflict on development in North-East Nigeria" (2020)

Clean messy data for use on open-sdg site

Personal webpage with DatSci Package interactive Data Science Course

Learning from the book R for Data Science by Garrett Grolemund and Hadley Wickham

Web Data Frames

Wrangling ugly messy datasets to an analysable format

This is an R package with assorted, convenience functions for data wrangling.

Code repository for initial exploration of HTC data (2016-2017)

One day One commit for 100days

Predicting House Prices Based on Varied ML Methods Such as Random Forest and XGBoost

This repository contains code for the analysis contained in the report "The future of health in Africa: how achievable is SDG3?" (2019, unpublished).

Facilitates cleaning, exploring and visualising large epidemiological datasets.