r statistics, csv analysis, data correlation, missing values, ascii histogram, describe dataset, r summary, outlier detection, pearson correlation
Perform R-style data analysis on CSV files using Python 3. No R installation required.
Compute descriptive statistics (R-style summary: Min/1st Qu/Median/Mean/3rd Qu/Max/SD).
bash scripts/script.sh stats <file.csv> [column]
Generate an ASCII histogram for a numeric column.
bash scripts/script.sh plot <file.csv> [column] [bins]
Compute Pearson correlation matrix for all numeric columns.
bash scripts/script.sh correlate <file.csv>
Detect missing values and statistical outliers (3σ rule).
bash scripts/script.sh clean <file.csv>
Show dataset structure, column types, unique value counts, and sample values.
bash scripts/script.sh describe <file.csv>
Show all available commands.
bash scripts/script.sh help
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