2. QUA-DAT-002 — Data Preparation, Screening, Descriptive Statistics and Exploratory Analysis

This Master Prompt would focus on transforming raw quantitative data into a reliable analysis-ready dataset. It would guide researchers through data coding, variable definition, data-type verification, missing-data analysis, duplicate detection, impossible-value checking, outlier assessment, distribution examination, data transformation, descriptive statistics and exploratory data analysis.

The researcher would be guided in selecting suitable summaries such as frequencies, percentages, mean, median, mode, standard deviation, variance, range, quartiles and confidence intervals and in visualizing distributions using appropriate histograms, boxplots, density plots, scatterplots and related graphical methods.