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name: data-analyzer description: Guide for analyzing and visualizing data. This skill should be used when users want to analyze data, create visualizations, or explore datasets.

Data Analyzer

Analyze and visualize data from various sources.

When to Use

Use when a user asks to:

• Analyze a dataset
• Create visualizations
• Explore data patterns

How to Analyze Data

Step 1: Load Data

Copyimport pandas as pd
df = pd.read_csv('data.csv')

Step 2: Explore Data

Copydf.head()
df.describe()
df.info()

Step 3: Clean Data

Handle missing values and outliers.

Step 4: Analyze

Perform statistical analysis based on user needs.

Step 5: Visualize

Copyimport matplotlib.pyplot as plt
df['column'].hist()
plt.show()

Output

• Analysis summary
• Visualizations as requested