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 provides students and returning learners with real-time visual feedback as they explore the following topics hands-on.

1. Charts (vertical bars, horizontal bars, lollipop, Pareto, word clouds, grouped bars, line, nested bubbles, mirrored charts, pie, doughnut, treemap, sunburst, stacked bars, 100% stack bars, streamgraphs, Venn, Venn + Euler hybrid, UpSet, heatmap, alluvial, and Sankey)

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

3. Quartiles and boundaries

4. Scatter plots

5. Grouped scatter plots

6. k-means clustering

7. Probability distributions

8. Central Limit Theorem (CLT) demo

9. Confidence Intervals (CI) demo

10. CI estimation

11. Resampling

12. One and two-sample hypothesis tests

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

14. Simple linear regression 

15. Multiple linear regression (with numerical, categorical, and interaction term modelling), including model diagnostics and plots

16. Comparing two groups (means and proportions)

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

18. Binary logistic regression

19. Ordinal logistic regression

20. Visualise growth

21. Projections

22. Data generator

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