Name: OpenRefine
Author: Open Source

Help Desk

Web and Video Conferencing

Customer Support

Mind Mapping

Mobile App Development

Push Notifications

Development

Audit

Business Intelligence (BI)

Calibration Management

Collaboration

Embedded Business Intelligence (BI)

Org Chart

Procurement

Enterprise

Accounting

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Credentialing

HR Management

Payroll

Professional Employer Organizations (PEO)

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

C/C++ Integrated Development Environments

Cloud Storage

Compliance Consulting

Cybersecurity Consulting

Data Virtualization

Dynamic Application Security Testing (DAST)

Electronic Data Interchange (EDI)

Fraud Detection

HTML Editors

IT Service Management (ITSM)

Identity Management

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Managed Print

Network Performance Monitoring

Password Management System

Relational Databases

Remote Monitoring and Management

Software Defined Networking (SDN)

Traffic Switching

Virtual Private Network (VPN)

Virtualization Management

Voice Recognition

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Consumer Ratings & Reviews

Content Management

Email Marketing

Heatmap and Session Recording

Landing Page

Marketing Automation

Marketing Resource Management

Mobile Marketing

Presentation

Social Login

Social Media Management

Survey & Forms Building

Video Streaming

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales

Antivirus

User and Entity Behavior Analytics (UEBA)

Security

Auto Repair

Equation Editors

Insurance Agency Management

Legal Research

Library Management

OSS/BSS (Operations Support/Business Support)

Real Estate Property Management

Vertical-Specific

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Users commonly recommend the following actions for OpenRefine:

- Explore OpenRefine and utilize online tutorials for learning the tool. This can greatly enhance understanding of its capabilities.
- Use OpenRefine for cleaning metadata and other forms of data. It is a useful tool for quickly cleaning different types of data.
- Learn the General Refine Expression Language (GREL) for more complex data manipulations. This enables greater flexibility in analyses.

By exploring OpenRefine through tutorials, using it for cleaning various types of data, and mastering GREL, users can maximize the benefits of this tool.

OpenRefine is a free, open-source tool designed to clean and transform messy data. It is positioned as a solution suitable for companies of all sizes, from small startups to large enterprises. According to the project, OpenRefine is utilized by data analysts, data scientists, researchers, librarians, and journalists across various industries to efficiently manage and enhance their datasets.

## Key Features

**Faceting**: Drill through large datasets using facets and apply operations on filtered views of your dataset. Faceting allows you to explore your data by creating filters based on specific values or ranges within a column. You can apply operations on the filtered views to clean and transform the data.

**Clustering**: Fix inconsistencies by merging similar values thanks to powerful heuristics. Clustering helps identify similar values within a column and allows you to merge them into a single value. This feature is useful for cleaning up data with variations or misspellings.

**Reconciliation**: Match your dataset to external databases via reconciliation services. Reconciliation allows you to match your data against external databases to ensure accuracy and consistency. It helps in identifying and linking entities in your dataset to existing entities in external databases.

**Infinite undo/redo**: Rewind to any previous state of your dataset and replay your operation history on a new version of it. OpenRefine keeps track of all the operations performed on your dataset, allowing you to easily undo or redo any changes. This feature provides flexibility and ensures that you can revert to previous versions of your data.

**Privacy**: Your data is cleaned on your machine, not in some dubious data laundering cloud. OpenRefine operates locally on your machine, ensuring that your data remains private and secure. There is no need to worry about your data being processed on external servers.

**Wikibase**: Contribute to Wikidata, the free knowledge base anyone can edit, and other Wikibase instances. OpenRefine integrates with Wikibase, allowing you to contribute to Wikidata and other Wikibase instances. You can add and edit data in Wikibase directly from OpenRefine.

**Data Cleaning**: Easily clean and standardize your data by applying various transformations, such as removing duplicates, changing case, and formatting dates. OpenRefine provides a wide range of data cleaning functions to ensure the quality and consistency of your datasets.

**Data Transformation**: Transform your data from one format to another using OpenRefine's powerful transformation capabilities. You can split columns, merge cells, transpose data, and perform other transformations to reshape your data according to your specific requirements.

**Data Enrichment**: Extend your dataset with web services and external data sources to enrich your analysis. OpenRefine allows you to fetch data from APIs, web scraping, and linking to external databases, enabling you to enhance your dataset with additional information.

**Data Exploration**: Gain insights into your data through visualizations and statistical summaries. OpenRefine provides visualizations and statistical analysis tools that help you understand the distribution, patterns, and relationships within your data, enabling you to make informed decisions and discoveries.

OpenRefine is a powerful tool that simplifies data cleaning and processing for businesses. It has been highly recommended by many users, reviewers, and customers due to its ease of use, quick file conversion capability, and efficient data manipulation features. With OpenRefine, large datasets can be cleaned and transformed into other applications with just a few clicks, significantly reducing the time needed for data preparation and cleaning. 

Data Analysts find OpenRefine to be especially useful in identifying errors in the data set effortlessly. The software's suggested changes streamline the process of cleaning dirty data while providing a quick way to modify data tables and metadata. Data wrangling becomes an effortless task as OpenRefine can match cells within a column even if they are formatted differently, perform filtering on empty rows, split columns, run GREL to bin rows easily. Additionally, OpenRefine's small learning curve makes it accessible to all users who need to work with data. 

Overall, OpenRefine solves several business problems for users such as saving time for data cleaning and preparation; helping with the identification of errors in the dataset; enabling the modification of metadata quickly and easily; making data wrangling more effortless; and allowing non-programmers access to efficient data manipulation tools.

Creator

Explorer

Viewer

Datameer helps businesses clean up, combine, and organize data to make sense of it and use it for reports and machine learning.

Team/Enterprise

Datameer

OpenRefine

Software for eliminating redundant data in databases and file servers.

Data Cleansing

OpenRefine demo: a tool to clean up and enrich datasets - Arthur P Smith at WikidataCon 2017

OpenRefine demo

OpenRefine Demo

Open Source

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What is OpenRefine?