用于发现和整理数据的终端电子表格多功能工具
datawrangling 开源项目推荐(295 个)
datawrangling 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 295 个仓库A TUI pager with advanced support for tabular data, inferring/swapping delimiters, and real-time event parsing.
A fluent code explorer for R. 🔍
This project analyzes and visualizes the Used Car Prices from the Automobile dataset in order to predict the most probable car price
Personal finance database creation, SQL analysis, and Power BI dashboard
The AI-Powered Healthcare Intelligence Network is an AI-driven system offering disease prediction, drug recommendations, heart disease risk assessment, and an AI medical chatbot. Using ML, NLP, and LLMs, it provides accurate diagnoses, insights, and recommendations, enhancing healthcare accessibility, efficiency, and decision-making .
Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and s…
Advanced data wrangling for python
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Fundamentals of Quantitative Analysis
Python Data Analytics, Machine Learning & Natural Language Processing
该项目在 GitHub 上没有填写描述
A small utility for analyzing data structures (e.g. JSON files)
I aquired a full scholarship from Google Launchpad. Advanced data wrangling skills to work with messy, complex real-world datasets. Highly customized visualizations using the Matplotlib Python library
通过Python对OpenStreetMap的数据集进行整理和清洗。
To import data from multiple sources, clean and wrangle data, perform exploratory data analysis (EDA), and create meaningful data visualizations. I will then predict future trends from data by developing linear, multiple, polynomial regression models & pipelines and learn how to evaluate them.
Master data analysis, visualization, Python, machine learning, and real-world projects to drive data-driven decisions and advance your career in tech, business, or analytics.
该项目在 GitHub 上没有填写描述
It includes full exploratory data analysis (EDA) and preprocessing steps before applying machine learning algorithms. The project uses various datasets and covers data wrangling, exploratory data analysis, data visualization, feature engineering
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/datawrangling。
- 该话题在 GitHub 上共有 295 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1 万 Star,覆盖 4 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。