# DataExplorer

> R DataExplorer package for EDA. Use for automated exploratory data analysis and reporting.

- **Type:** Skill
- **Install:** `agentstack add skill-leolin990405-r-analytics-skill-dataexplorer`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [LeoLin990405](https://agentstack.voostack.com/s/leolin990405)
- **Installs:** 0
- **Category:** [Data & Analytics](https://agentstack.voostack.com/c/data-and-analytics)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [LeoLin990405](https://github.com/LeoLin990405)
- **Source:** https://github.com/LeoLin990405/r-analytics-skill/tree/main/sub-skills/r-data/r-data-manipulation/DataExplorer

## Install

```sh
agentstack add skill-leolin990405-r-analytics-skill-dataexplorer
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# DataExplorer

Automated exploratory data analysis.

## Quick Overview

```r
library(DataExplorer)

# Introduction report
introduce(df)

# Plot introduction
plot_intro(df)

# Full EDA report
create_report(df)
create_report(df, output_file = "eda_report.html")
```

## Missing Data

```r
# Profile missing values
profile_missing(df)

# Plot missing values
plot_missing(df)

# Plot missing by row
plot_missing(df, group = list(group1 = 1:5, group2 = 6:10))
```

## Data Structure

```r
# Plot data structure
plot_str(df)
plot_str(df, type = "diagonal")
plot_str(df, type = "radial")
```

## Distributions

```r
# Histograms for continuous
plot_histogram(df)
plot_histogram(df, ncol = 3)

# Density plots
plot_density(df)

# Bar plots for categorical
plot_bar(df)
plot_bar(df, with = "target_var")

# QQ plots
plot_qq(df)
plot_qq(df, by = "group")
```

## Correlations

```r
# Correlation matrix
plot_correlation(df)
plot_correlation(df, type = "continuous")
plot_correlation(df, type = "discrete")

# Correlation with target
plot_correlation(df, cor_args = list(use = "pairwise.complete.obs"))
```

## Feature Analysis

```r
# Box plots
plot_boxplot(df, by = "target")

# Scatter plots
plot_scatterplot(df, by = "target")

# PCA
plot_prcomp(df)
plot_prcomp(df, variance_cap = 0.9)
```

## Data Transformation

```r
# Drop columns
df_clean <- drop_columns(df, c("col1", "col2"))

# Set missing values
df_clean <- set_missing(df, list(col1 = 0, col2 = "Unknown"))

# Group sparse categories
df_clean <- group_category(df, feature = "category", threshold = 0.1)

# Dummify categorical
df_dummy <- dummify(df)
df_dummy <- dummify(df, select = c("cat1", "cat2"))

# Update columns
df_updated <- update_columns(df, c("col1", "col2"), as.factor)
```

## Automated Report

```r
# Full report with all plots
create_report(
  df,
  output_file = "report.html",
  output_dir = "./reports/",
  y = "target",  # Target variable
  config = configure_report(
    add_plot_str = TRUE,
    add_plot_qq = TRUE,
    add_plot_prcomp = TRUE,
    add_plot_boxplot = TRUE,
    add_plot_scatterplot = TRUE
  )
)
```

## Configuration

```r
# Configure report
config <- configure_report(
  add_plot_str = TRUE,
  add_plot_qq = FALSE,
  add_plot_prcomp = TRUE,
  add_plot_boxplot = TRUE,
  add_plot_scatterplot = FALSE,
  global_ggtheme = quote(theme_minimal())
)

create_report(df, config = config)
```

## Split Data

```r
# Split by feature
split_columns(df, by = "type")

# Split by missing
split_columns(df, by = "missing")
```

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [LeoLin990405](https://github.com/LeoLin990405)
- **Source:** [LeoLin990405/r-analytics-skill](https://github.com/LeoLin990405/r-analytics-skill)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-leolin990405-r-analytics-skill-dataexplorer
- Seller: https://agentstack.voostack.com/s/leolin990405
- Browse the marketplace: https://agentstack.voostack.com/browse

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