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.

Metadata

Release files for victor-dataanalysis 0.7.2

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for victor-dataanalysis 0.7.2
File	Size	Uploaded
victor_dataanalysis-0.7.2.tar.gz	64.4 kB	Jul 17, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for victor-dataanalysis 0.7.2
File	Interpreter	ABI	Platform	Reset
victor_dataanalysis-0.7.2-py3-none-any.whl 66.5 kB Jul 17, 2026	Python 3	none	any	Details

Total release size: 130.9 kB

Release files / victor_dataanalysis-0.7.2.tar.gz

Download URL	victor_dataanalysis-0.7.2.tar.gz
Size	64.4 kB
Tags	Source
SHA-256 checksum How to use checksums	`9e958cc517e06f7d641b4442fe4f9d0ce6a9edfc011145e87ce366e97c78d8d7`
BLAKE2b-256 checksum How to use checksums	`ae0969b990b2653ce69f5152b66cf11133a8e04de698070d439d5c43619004a4`
Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/anvai-labs/victor
Publishing commit: github.com/anvai-labs/victor/tree/19bc5de6ea09571e4400c10e0384ca9a3af3b4e4

Workflow

Publishing configuration: github.com/anvai-labs/victor/blob/19bc5de6ea09571e4400c10e0384ca9a3af3b4e4/.github/workflows/release-verticals.yml
Publishing logs: github.com/anvai-labs/victor/actions/runs/29573942541/attempts/2

Artifact

Subject: victor_dataanalysis-0.7.2.tar.gz
SHA-256 checksum: 9e958cc517e06f7d641b4442fe4f9d0ce6a9edfc011145e87ce366e97c78d8d7 Verifying attestations

Release files / victor_dataanalysis-0.7.2-py3-none-any.whl

Download URL	victor_dataanalysis-0.7.2-py3-none-any.whl
Size	66.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`29d45a5810325b44b3e606f7169955bd287a666e16fa1ba193e07efebacae148`
BLAKE2b-256 checksum How to use checksums	`0b65fce5b694a0c039ca92cdf711a05d569de13d98247accfaa79d3659d0f06c`
Upload date	Jul 17, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/6.1.0 CPython/3.13.12`

Provenance

Identity

Publishing platform: GitHub Actions
Publishing repository: github.com/anvai-labs/victor
Publishing commit: github.com/anvai-labs/victor/tree/19bc5de6ea09571e4400c10e0384ca9a3af3b4e4

Workflow

Publishing configuration: github.com/anvai-labs/victor/blob/19bc5de6ea09571e4400c10e0384ca9a3af3b4e4/.github/workflows/release-verticals.yml
Publishing logs: github.com/anvai-labs/victor/actions/runs/29573942541/attempts/2

Artifact

Subject: victor_dataanalysis-0.7.2-py3-none-any.whl
SHA-256 checksum: 29d45a5810325b44b3e606f7169955bd287a666e16fa1ba193e07efebacae148 Verifying attestations