data-exploration

Create HTML profiling reports from pandas DataFrame objects

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

DataPrep — The easiest way to prepare data in Python. You can collect data from common data sources through `connector`, do exploratory data analysis through `eda`, clean and standardize data through `clean`

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

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

A library for managing, validating, summarizing, and visualizing data.

Automated data exploratory analysis and visualization tools.

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

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

Grep through all Grafana entities in the spirit of git-wtf.

Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.

mde: Missing Data Explorer

Exploring the NTSB Aviation Accident Database

Implementation of SOMs (Self-Organizing Maps) with neighborhood-based map topologies.

Data mining on Bank Marketing Data Set. Here, we conduct analysis and comment on the marketing campaigns of the bank, and also give some advice to the bank in the next marketing to improve marketing effectiveness.

Documentation: Methodology and Exploratory Data Analysis

A web interface to visualise and explore the UK Biobank

In this repository you will find an end to end hands-on tutorial of an example of machine learning in production. The objective will be to create and deploy in the cloud a machine learning application able to recognize and classify different audio sounds.

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).

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

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

A collection of exploratory data analysis techniques and resources

Graphical User Interface for Parallel Coordinates using Matplotlib.

Simple, composable column selector for loc[], iloc[], assign() and others.

We will analyze a dataset provided by an e-commerce marketplace called [Olist](https://www.olist.com) to answer the CEO's question: Should Olist remove underperforming sellers from its marketplace? How to increase customer satisfaction (so as to increase profit margin) while maintaining a healthy order volume?

A Python repo illustrating principles to make your data exploration more efficient, and how to make your plots more readable and consistent. 14 scripts, each illustrating a particular point, and a companion presentation to expound on the points. Makes heavy use of the Streamlit module which is brilliant for making interactive plots, and the Bokeh module, which lets you do things like labeling of data via plot interactions.

Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.