Data Analysis

Data Analysis 📊

This module introduces techniques for exploring and analysing nutrition data, from visualisations to regression models, using hippo-themed datasets (🦛).

Notebooks

  • Distributions and Visualisation
    Explore data distributions and create visualisations.
    View HTML | Open in Colab

  • Exploratory Data Analysis
    Perform EDA to uncover patterns in nutrition data.
    View HTML | Open in Colab

  • Correlation Analysis
    Analyse relationships between variables.
    View HTML | Open in Colab

  • Statistical Testing
    Conduct hypothesis tests for nutrition studies.
    View HTML | Open in Colab

  • Regression Modelling
    Build and interpret regression models for vitamin D data.
    View HTML | Open in Colab

  • Logistic Regression and Survival Analysis
    Apply logistic regression and survival analysis to vitamin D trial outcomes.
    View HTML | Open in Colab

  • Clinical Trial Analysis
    Analyse a simulated clinical trial with effect size estimation.
    View HTML | Open in Colab

Datasets

  • data/vitamin_trial.csv: Used in regression, statistical analysis, and survival analysis notebooks.
  • data/simulated_trial.csv: Used in the clinical trial analysis notebook.