There are 115 repositories under exploratory-data-analysis topic.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Always know what to expect from your data.
Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
Visualize and compare datasets, target values and associations, with one line of code.
Beautiful visualizations of how language differs among document types.
Automatically find issues in image datasets and practice data-centric computer vision.
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Developer-first embedded analytics
Ways of doing Data Science Engineering and Machine Learning in R and Python
Build 12 Data Apps in Python with Streamlit
Complete-Life-Cycle-of-a-Data-Science-Project
A list of software and papers related to automatic and fast Exploratory Data Analysis
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.
dataโฐdescribe: Pythonic EDA Accelerator for Data Science
Data Science Feature Engineering and Selection Tutorials
: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.
Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
๐ ๏ธ ๐ Tools for Exploring and Comparing Data Frames
This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
Data Analysis Using Python: A Beginnerโs Guide Featuring NYC Open Data.
Functionalities in Excel translated to Python
Classification of Breast Cancer diagnosis Using Support Vector Machines
A day to day plan for this challenge. Covers both theoritical and practical aspects
Exploratory data analysis ๐using python ๐of used car ๐ database taken from โ๐๐๐๐๐
HandySpark - bringing pandas-like capabilities to Spark dataframes
R Package for Interactive Panel Data Exploration