Datasets

v0.3.0

Bundled datasets for immediate visualization, plus loaders for your own files and a synthetic data generator with configurable distributions.

Bundled Datasets

Dataset	Description	Rows	Cols
iris.csv	Fisher's Iris flower measurements (3 species)	150	5
penguins.csv	Palmer penguins morphometrics (3 species)	344	7
titanic.csv	Titanic passenger manifest	418	12
sp500_companies.csv	S&P 500 companies with financial metrics	503	21
course_completion.csv	Student course completion records	100,000	40

API Reference

load_dataset

load_dataset(name, return_X_y=None) -> pd.DataFrame | tuple[np.ndarray, np.ndarray]

pd.DataFrame | tuple[np.ndarray, np.ndarray]

load_iris / load_penguins

load_iris() / load_penguins()

pd.DataFrame

generate_dataset

generate_dataset(n_rows, schema, seed=None) -> pd.DataFrame

pd.DataFrame

Bringing Your Own Data

Every engine accepts any pandas DataFrame, so your own files work directly:

own_data.py

python

import pandas as pd
import viewx as vx

df = pd.read_csv("ventas.csv")            # or read_excel, read_parquet...
vx.Dashboard.auto(df).save("ventas.html")