Detecting

Handling Missing Data in R

Understand how R represents missing values with NA, how to detect and quantify missingness, and strategies for removal versus imputation.

Backpressure in WebSockets

How to detect and handle slow consumers on a WebSocket connection before unbounded buffering leads to memory exhaustion or unresponsive clients.

Handling Outliers

Learn common statistical techniques — z-score, IQR, and percentile capping — for detecting and treating outliers in pandas and NumPy data.

Removing Duplicates

Learn how to detect and remove duplicate rows or values in pandas using duplicated() and drop_duplicates(), including subset and keep options.

Form Handling and Validation

Learn a reliable pattern for processing submitted HTML forms in PHP: reading input safely, validating and sanitizing each field, and reporting errors back to t…