R Analyst

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.

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