Statistics for topic exploratory-data-analysis
RepositoryStats tracks 607,679 Github repositories, of these 73 are tagged with the exploratory-data-analysis topic. The most common primary language for repositories using this topic is Jupyter Notebook (30). Other languages include: Python (22)
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Always know what to expect from your data.
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Business intelligence as code: build fast, interactive data visualizations in SQL and markdown
Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
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.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Always know what to expect from your data.
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.
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
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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.
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
Always know what to expect from your data.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Advancing QGrid, an interactive grid for exploring DataFrames in JupyterLab/Notebook
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepa...
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...
A curated list of awesome resources such as books, tutorials, courses, open-source libraries, exercises, and other materials that support Pythonistas in the making, and Pythonistas migrating into Data...
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
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
Always know what to expect from your data.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
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...
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...
breadroll 🥟 is a simple lightweight library for data processing operations written in Typescript and powered by Bun.
The Google Advanced Data Analytics Certificate contains information on how to use machine learning, predictive modeling, and experimental design to collect and analyze large amounts of data, and prepa...
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...