Data Analysis Tutorials

Dive deep into the world of p-hacking, where manipulating the p-value is tempting. Learn the different traps of p-hacking, and how to detect and prevent them.

Understand what the coefficient of determination means in regression analysis. Learn how it’s calculated, how to interpret its value, and when to use adjusted R-squared and partial R-squared instead.

Learn when to use Poisson regression, how to interpret results through incidence rate ratios, and implement essential techniques in R.

Learn how to identify relationships between variables using correlation. Discover the different types of correlation coefficients and their applications.

Learn how the probability mass function defines discrete probability distributions. Explore its properties, examples, and differences from probability density functions.

Calculate the average of numeric, logical, and weighted data using R’s built-in mean functions. Understand how to handle missing values and apply the function to vectors and data frames.

Learn what RMSE means in regression analysis, how to calculate it, and when to use it to assess model performance. See Python and R examples with practical interpretations.

From basic concepts to advanced implementation, learn to build effective Sankey diagrams using popular tools. Discover the key components, best practices, and design principles that make flow visualizations compelling and insightful.

Use this method to make better predictions from real-world data. Learn how to minimize errors and find the most reliable trend line.

Understand how the t-distribution helps when sample sizes are small or population variance is unknown. Compare it to the normal and Z-distributions to learn when each is appropriate.

Learn how to use PI() in Excel so you have precision with mathematical formulas. Discover examples, syntax details, and tips for harnessing π in calculations.

Master Excel time formulas to calculate durations, handle time over 24 hours, and format time values for clear, accurate reporting.