Welcome to Datalizer’s documentation!

Datalizer

Datalizer is a Python package designed to simplify early-stage data analysis.

Its goal is to help users:

• Load and validate structured datasets

• Detect and resolve common data issues (e.g. missing values, duplicates)

• Prepare numerical data for modeling

Datalizer is ideal for students, researchers, and practitioners who want to focus on insight and modeling — not cleanup.

Full documentation: https://datalizer.readthedocs.io

Colab Notebook

Contents:

• Usage
  • Installation
• Loader
  • load_data()
• Cleaner
  • check_for_issues()
  • clean_basic()
• Preprocessor
  • preprocess_data()
  • recommend_approach()

Tutorials:

• Example
  • Introduction
  • Install Datalizer Package
  • Imports
  • Loading in Data
  • Checking for Issues
  • Cleaning the Dataset
  • Preprocessing the Dataset
  • Model Selection Recommendations