chart-types

Comprehensive guide to chart types organized by category.

Skills
Scientific
1

What it does and how to use it

A skill that teaches Claude Code to do scientific tasks well. It is packaged knowledge the model uses whenever it is relevant.

Install the skill (command above).
In Claude Code, describe what you need - the skill turns on by itself when the context fits.
No commands to memorize: you talk in plain language and the skill does the rest.

Install (Claude Code)

mkdir -p .claude/skills/chart-types && curl -fsSL https://doutorai.pt/data/lib/skills__chart-types.md -o .claude/skills/chart-types/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Plotly Chart Types

Comprehensive guide to chart types organized by category.

## Basic Charts

### Scatter Plots

```python
import plotly.express as px
fig = px.scatter(df, x='x', y='y', color='category', size='size')

# With trendlines
fig = px.scatter(df, x='x', y='y', trendline='ols')
```

### Line Charts

```python
fig = px.line(df, x='date', y='value', color='group')

# Multiple lines from wide-form data
fig = px.line(df, x='date', y=['metric1', 'metric2', 'metric3'])
```

### Bar Charts

```python
# Vertical bars
fig = px.bar(df, x='category', y='value', color='group')

# Horizontal b

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