R-style statistical analysis powered by Python 3. Use when computing descriptive statistics, generating ASCII histograms, calculating correlation matrices, d...
--- name: "r-analyst" description: "R-style statistical analysis powered by Python 3. Use when computing descriptive statistics, generating ASCII histograms, calculating correlation matrices, detecting missing values and outliers, or describing CSV dataset structure." --- # r-analyst ## Triggers on r statistics, csv analysis, data correlation, missing values, ascii histogram, describe dataset, r summary, outlier detection, pearson correlation ## What This Skill Does Perform R-style data analysis on CSV files using Python 3. No R installation required. ## Commands ### stats Compute descriptive statistics (R-style summary: Min/1st Qu/Median/Mean/3rd Qu/Max/SD). ```bash bash scripts/script.sh stats <file.csv> [column] ``` ### plot Generate an ASCII histogram for a numeric column. ```bash bash scripts/script.sh plot <file.csv> [column] [bins] ``` ### correlate Compute Pearson correlation matrix for all numeric columns. ```bash bash scripts/script.sh correlate <file.csv> ``` ### clean Detect missing values and statistical outliers (3σ rule). ```bash bash scripts/script.sh clean <file.csv> ``` ### describe Show dataset structure, column types, unique value counts, and sample values. ```bash bash scripts/script.sh describe <file.csv> ``` ### help Show all available commands. ```bash bash scripts/script.sh help ``` ## Requirements - bash 4+ - python3 (standard library only — no R needed) Powered by BytesAgain | bytesagain.com
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