Create HTML profiling reports from pandas DataFrame objects

Visualize and compare datasets, target values and associations, with one line of code.

🚚 Agile Data Science Workflows made easy with Pyspark

Data Explorer by Keen - point-and-click interface for analyzing and visualizing event data.

Feature exploration for supervised learning

DataPrep: Data Preparation in Python

Automate Data Exploration and Treatment

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Automatic insights discovery and visualization for data analysis.

Summarise and explore Pandas DataFrames

😎 A curated list of software and resources for exploring and visualizing (browsing) expression data 😎

R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)

Multidimensional data explorer and visualization tool.

A collection of Jupyter notebooks exploring different datasets.

Enjoy your transcriptomic data and analysis responsibly - like sipping a cocktail

Light, personalized, interactive dashboards for urban data exploration.

light and fast implementation of web pivot table / pivot chart components.

bamboolib - template for creating your own binder notebook

An User-Friendly Application for Exploratory Factor Analysis

Applying Machine Learning Algorithms to the Kaggle "Titanic Survival Prediction Problem".

A simple wrapper for SQL connections using SQLAlchemy and Pandas read_sql to standardize SQL workflow with multiple data sources.

Notebooks extension for Neptune, lightweight data science collaboration hub

Slides, code and more for my class: Data Analytics and Machine Learning on Big Data

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis.

CodersMUSE is a prototype implementation to explore multi-modal data of program-comprehension experiments.

REFACTORING...

Prototype implementation for the research project VisTiles, in which multiple mobiles devices are combined for visual data exploration.

Exploring the NTSB Aviation Accident Database

KeepCoding Bootcamp Big Data & Machine Learning - Proyecto Final Team Outliers - Batiendo a la bolsa

Automated exploration of files in a folder structure to extract metadata and potential usage of information.