Data analysis and visualisation tools

I am not a trained statistician, but I have a natural propensity for understanding the world through data. Guided by the belief that the best way to learn is to teach, I began teaching introductory statistics courses several years ago. This journey has taught me that visual explanations are often the most powerful way to deepen our grasp of applied statistical concepts. To support this approach, I have designed an interactive toolkit that gives students and returning learners real-time, visual feedback as they explore the following topics hands-on.

1. Histogram and density (with normality test and visual diagnostics)

2. Quartiles and boundaries

3. Probability distributions

4. Central Limit Theorem (CLT) demo

5. Confidence Intervals (CI) demo

6. Resampling

7. Chi-square tests (goodness-of-fit and test of independence)

8. Scatter plots

9. Grouped scatter plots

10. k-means clustering

11. Simple linear regression 

12. Multiple linear regression (with numerical, categorical, and interaction term modelling)

13. Comparing two groups (means and proportions)

14. ANOVA - comparing three or more groups (One-way ANOVA and two-way ANOVA: RCBD, factorial, mixed-design)

15. Visualise growth

16. Projections

17. Data generator

If you have suggestions, please feel free to contact me.