Marketplace data-visualization

Chart and visualization generation for DBX Studio. Use when a user wants to visualize data — bar charts, line graphs, pie charts, scatter plots, etc.

install

source · Clone the upstream repo

git clone https://github.com/aiskillstore/marketplace

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/aiskillstore/marketplace "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/dbxstudio/data-visualization" ~/.claude/skills/aiskillstore-marketplace-data-visualization-db1c25 && rm -rf "$T"

manifest: skills/dbxstudio/data-visualization/SKILL.md

source content

Data Visualization — DBX Studio

Chart Types Available

The

generate_chart

tool supports these types:

Type	Best For
`bar`	Comparisons between categories
`line`	Trends over time
`pie`	Part-to-whole relationships (< 7 slices)
`scatter`	Correlation between two numeric values
`area`	Cumulative trends over time
`histogram`	Distribution of a numeric column

Workflow

Understand what the user wants to visualize
Write the SQL query to get the data (
```
data_query
```
)
Call
```
generate_chart
```
with the config
Confirm chart title and axes are meaningful

generate_chart Parameters

{
  "chart_type": "bar",
  "title": "Monthly Revenue by Product Category",
  "x_axis": "category",
  "y_axis": "revenue",
  "data_query": "SELECT category, SUM(amount) AS revenue FROM orders GROUP BY 1 ORDER BY 2 DESC",
  "group_by": "category"
}

Chart Selection Guide

User says "trend" or "over time" →

line

chart, x_axis = date column User says "compare" or "by category" →

bar

chart User says "breakdown" or "share" →

pie

chart (only if ≤ 7 categories) User says "distribution" or "spread" →

histogram

User says "relationship" or "correlation" →

scatter

Data Query Patterns

Bar: Top N categories

SELECT category, COUNT(*) AS count
FROM orders
GROUP BY category
ORDER BY count DESC
LIMIT 10

Line: Time series

SELECT DATE_TRUNC('day', created_at) AS date, SUM(amount) AS revenue
FROM orders
WHERE created_at >= NOW() - INTERVAL '30 days'
GROUP BY 1
ORDER BY 1

Pie: Proportion breakdown

SELECT status, COUNT(*) AS count
FROM orders
GROUP BY status

Design Principles

Always give the chart a descriptive title including the time period if relevant
Keep x_axis and y_axis names human-readable (not raw column names)
For large result sets, aggregate before charting (avoid raw row-level data)
Pie charts: max 7 slices, group remainder as "Other"