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)

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