victor-dataanalysis
Data Analysis vertical for Victor AI - Data processing, analysis, and visualization
Features
📊 Data Processing Data cleaning and preparation Format conversion and normalization
Missing value handling 🔬 Statistical Analysis Descriptive statistics
Hypothesis testing Correlation and regression 📈 Visualization
Chart and graph generation Interactive dashboards Statistical plots
Installation
# Install with Victor core
pip install victor-ai
# Install dataanalysis vertical
pip install victor-dataanalysis
Quick Start
from victor.framework import Agent
# Create agent with dataanalysis vertical
agent = await Agent.create(
provider="anthropic",
model="claude-3-opus-20240229",
vertical="dataanalysis"
)
Available Tools
Once installed, the dataanalysis vertical provides these tools:
- pandas_analyze - Analyze dataframes
- data_clean - Clean data
- visualize - Create charts
- stats_analysis - Statistical tests
License
Apache License 2.0 - see LICENSE for details.
Links
- Victor AI: https://github.com/vijay-singh/codingagent
- Documentation: https://docs.victor.dev/verticals/dataanalysis
- Victor Registry: https://github.com/anvai-labs/victor-registry
Metadata
Release files for victor-dataanalysis 0.13.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| victor_dataanalysis-0.13.0.tar.gz | 76.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| victor_dataanalysis-0.13.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 142.8 kB
Release files / victor_dataanalysis-0.13.0.tar.gz
| Download URL | victor_dataanalysis-0.13.0.tar.gz |
|---|---|
| Size | 76.3 kB |
| Tags | Source |
|
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Transparency logRelease files / victor_dataanalysis-0.13.0-py3-none-any.whl
| Download URL | victor_dataanalysis-0.13.0-py3-none-any.whl |
|---|---|
| Size | 66.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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