Unlock insights into the U.S. healthcare landscape from 2019 to 2020. Our PowerBI-driven analysis delves into hospital performance, patient outcomes, and payer-provider dynamics. Dive into detailed reports and visualizations for informed decision-making, empowering healthcare stakeholders, and shaping the industry's future.

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

First open-source data discovery and observability platform. We make a life for data practitioners easy so you can focus on your business.

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

Data Exploration is the initial step in data analysis, where users explore a large data set in an unstructured way to uncover initial patterns, characteristics and points of interest.

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

🍸 Digital Collections Framework

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

Luca Albinescu's repository for doing Heart Rate Predictive Analytics. This repo contains a Jupyter Notebook for exploring a dataset and finding patterns for later training a Machine Learning Model that can predict heart rate given common metrics recorded by a wearable device.

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

Titanic Data Analysis for Data Engineering class with The Data Immersed (TDI)

This project focuses on analyzing salary data for jobs within the field of Data Engineering. The analysis aims to explore trends, insights, and patterns in salaries for roles specific to data engineering across different industries or regions.

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.

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

This project showcases the use of SQL analysis to enhance business operations within the hardware industry. Key areas of focus include identifying market opportunities, tracking product growth across years, analyzing customer discounts, and evaluating sales performance by region and channel.

An Exploratory Data Analysis done on an Automobiles dataset from kaggle

This is an Exploratory Data Analysis done on the Amazon Product Sales dataset from kaggle.

This analysis is an EDA done on Istanbul Shopping dataset from kaggle.

An Exploratory Data Analysis done on a Countries dataset from kaggle

The web ui (R-Shiny application) for Pheno-Ranker, a tool designed for performing semantic similarity analysis on phenotypic data structured in JSON format, such as Beacon v2 Models or Phenopackets v2