113 Open Source Exploratory Data Analysis Software Projects

Create HTML profiling reports from pandas DataFrame objects

Always know what to expect from your data.

Beautiful visualizations of how language differs among document types.

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

Ways of doing Data Science Engineering and Machine Learning in R and Python

DataPrep — The easiest way to prepare data in Python

A machine learning approach to classify songs by mood.

Preliminary Exploratory Visualisation of Data

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

Kernel Density Estimation in Python

:full_moon_with_face: Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

Tool for visual exploration of complex data.

🛠️ 📊 Tools for Exploring and Comparing Data Frames

A list of software and papers related to automatic and fast Exploratory Data Analysis

A day to day plan for this challenge. Covers both theoritical and practical aspects

Functionalities in Excel translated to Python

HandySpark - bringing pandas-like capabilities to Spark dataframes

R package for exploratory data analysis

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Solution of the Titanic Kaggle competition

Impy is a Python3 library with features that help you in your computer vision tasks.

Is there a relationship between popularity of a given technology on Stack Overflow (SO) and Hacker News (HN)? And a few words about causality

R Package for Interactive Panel Data Exploration

Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊

A python package that performs exploratory data analysis for users. Additionally, it generates 3 types of output files (cleaned CSV, plots and a text report).

Data journalism and easy to replicate notebooks using Python, R, and Web visualisations

Classification of Breast Cancer diagnosis Using Support Vector Machines

Speed Up Exploratory Data Analysis (EDA)

exploratory data analysis using random forests

Exploratory and diagnostic machine learning tools for R

Implementation of DenseNet model on Standford's MURA dataset using PyTorch

Jared Kushner and his partners used a program meant for job-starved areas to build a luxury skyscraper

An R package for calculating and drawing variable trees

Librería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co

Probabilistic Sequence Mining

Automatically visualize your pandas dataframe via a single print! 📊 💡

Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

Football Match prediction using machine learning algorithms in jupyter notebook

Exploratory, Inferential and Predictive data analysis. Feel free to show your :heart: by giving a star :star:

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

The furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats

A Toolkit for Interactive Statistical Data Visualization

A Data science and Analytics project with the main aim of doing some Descriptive and Exploratory Data Analysis and then applying predictive modelling for predicting why and which are the best and most experienced employees leaving prematurely?

Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.

🧠 An open-source machine learning application for analyzing software defect reports extracted from bug tracking systems.

Science des Données Saison 2: Exploration statistique multidimensionnelle, ACP, AFC, AFD, Classification non supervisée

F# functions for streaming any kind of graph/network data to the network visualization tool gephi

MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets

A 60 days+ streak of daily learning of ML/DL/Maths concepts through projects

Kaggle Kernels (Python, R, Jupyter Notebooks)

MSDS593 -- Exploratory data analysis (EDA) at the University of San Francisco

A web app that helps Kickstarter creators increase their chances of being funded

This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price

Exploration, clustering, visualization and classification of DNA damage patterns

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

Insurance fraud claims analysis project

Neural network to predict eye gaze location from front-facing camera

Probabilistic Itemset Mining

ADENINE: A Data ExploratioN PipelINE

a R package for data exploratory analysis

My capstone project for the course IBM Data Science ML with Python .

An introduction to matrix factorization and PCA and SVD.

🚴🏅📊Tour de France winners and stages data

Create tidyverse-friendly tables of frequencies

An end-to-end enterprise-grade example of working a data science problem.

Sample Jupyter book about basics of Exploratory Data Analysis

This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.

To promote exploration and use of open data - currently in beta

Exploratory Data Analysis with Python

The purpose of this project is to process the dataset, analyze it, do some feature engineering and finally make a predictive loan model for an applicant.

A survey of tools that make EDA more automated.

Exploratory Data Analysis

Monte-Carlo methods for prediction functions

This repository contains code and bonus content which will be added from time to time for the books "Learning Generative Adversarial Network- GAN" and "R Data Analysis Cookbook - 2nd Edition" by Packt

Complete-Life-Cycle-of-a-Data-Science-Project

read my blog @ https://medium.com/@theprasadpatil/exploratory-data-analysis-8fc1cb20fd15

Exploring data together using shiny (burro(w) into the data)

Compilation of R and Python programming codes on the Data Professor YouTube channel.

data⎰describe: Pythonic EDA Accelerator for Data Science

skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.

📌 This repo. Contains Basic - Advance level Machine learning / business analysis Projects. 👨‍💻

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

Data Inspector is an open-source python library that brings 15++ types of different functions to make EDA, data cleaning easier.

For all those who're struggling to find a good hands-on resource (with case studies) to master their Data Science skills, Here's all what you need!

A New Interactive Approach to Learning Data Analysis

An Exhaustive WhatsApp Chat Data Analysis.

Code and notebooks containing my experiments in data science, EDA, visualization, and machine learning

A collection of scripts written to complete DQLab Data Analyst Career Track 📊

A library for Time-Series exploration, analysis & modelling.

Market Basket Analysis with Recommendation Algorithms & Shiny App Implementation of a Product Recommendation System for an Online Retailer

A Respository to get you job ready as a Data Scientist

Data Analysis using datasets from Kaggle

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

Creating Regression Models Of Building Emissions On Google Cloud

A Python library for Automated Exploratory Data Analysis, Automated Data Cleaning, and Automated Data Preprocessing For Machine Learning and Natural Language Processing Applications in Python.

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

Predicts home prices of Bangalore. Used Flutter, Flask and Jupyter Notebook.