Statistical Tools for Data Analysis

An Environmental Data Analyst utilized advanced statistical tools to track pollution trends by cleaning a daily dataset and nulling temperature outliers via the IQR method to preserve the time index. The resulting stacked time-series dashboard displays 3,000 readings across a two-year window, overlaying a 30-day rolling average on PM2.5, temperature, and wind speed to prevent scale distortion. Ultimately, the analyst found a diffuse weather relationship and a null correlation between pollution and weather variables, demonstrating how different types of statistics clarify complex environmental datasets.

What it shows:

Applying the IQR method preserves time indices while cleaning daily environmental datasets for accurate correlation testing.

A multilingual data researcher used CambioML to quantify severe PDF extraction degradation across six languages, specifically highlighting failures in non-Latin scripts. The resulting horizontal stacked bar chart reveals that Russian has the highest defect rate at 105.9 failures per 10,000 characters, while a heatmap visualizes extreme degradation like Chinese OCR artifacts occurring at 24.3 times the English baseline. This visualization allowed the researcher to definitively prove the pipeline's failure on non-Latin orthographies, providing concrete metrics to justify targeted remediation while avoiding type 1 error statistics during the evaluation.

What it shows:

Heatmaps and stacked bar charts effectively quantify and communicate OCR extraction defects across different linguistic scripts.