data-exploration

Create HTML profiling reports from pandas DataFrame objects

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

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF and PySpark

DataPrep — The easiest way to prepare data in Python

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

Feature exploration for supervised learning

Automate Data Exploration and Treatment

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

自动化数据探索分析和智能可视化设计应用. Automatic insights discovery and visualization for data analysis.

😎 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.

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

A collection of Jupyter notebooks exploring different datasets.

light and fast implementation of web pivot table / pivot chart components. 轻量快速的web数据透视表/透视图组件

bamboolib - template for creating your own binder notebook

Light, personalized, interactive dashboards for urban data exploration.

Notebooks extension for Neptune, lightweight data science collaboration hub

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.

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.

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

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

A MATLAB app to visualize ThingSpeak data. Make time comparisons of your data, retime data, and export data.

Data and code for Jia and Chong (2020): Hongyuan Jia and Adrian Chong (2020). eplusr: A framework for integrating building energy simulation and data-driven analytics. (Accepted in Energy and Buildings).

Project 4 on Udacity's Data Analyst Nanodegree

Prototype implementation for the research project VisTiles, in which multiple mobiles devices are combined for visual data exploration. Website: https://imld.de/vistiles