Statistics for topic exploratory-data-analysis
RepositoryStats tracks 595,857 Github repositories, of these 72 are tagged with the exploratory-data-analysis topic. The most common primary language for repositories using this topic is Jupyter Notebook (29). Other languages include: Python (22)
Stargazers over time for topic exploratory-data-analysis
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Always know what to expect from your data.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
: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 ch...
: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 ch...
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Always know what to expect from your data.
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Always know what to expect from your data.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
An open-source Python library for Data Scientists & Data Analysts designed to simplify the exploratory data analysis process. Using Edvart, you can explore data sets and generate reports with minimal ...
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
: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 ch...
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Always know what to expect from your data.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
skimpy is a light weight tool that provides summary statistics about variables in data frames within the console.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
This repository contains the code and instructions to build a job recommendation system using machine learning. The system is designed to provide personalized job recommendations based on user prefere...
Advancing QGrid, an interactive grid for exploring DataFrames in JupyterLab/Notebook
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Always know what to expect from your data.
This repository contains the code and instructions to build a job recommendation system using machine learning. The system is designed to provide personalized job recommendations based on user prefere...
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 algor...
breadroll 🥟 is a simple lightweight library for data processing operations written in Typescript and powered by Bun.
In this personal Superstore Sales SQL Data Analysis project, an exploratory data analysis was performed on the Superstore Sales Data available on Kaggle. The main aim of the project is to uncover insi...
