Data Science Dojo delivers data science education, consulting, and technical services to harvest the power of data.

Trademarks: This software listing is packaged by Data Science Dojo. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

OpenRefine is a powerful open-source tool for cleaning, transforming, and organizing messy data. With OpenRefine, users can import data from a variety of sources, including spreadsheets, CSV files, and databases. The tool provides a range of powerful features for cleaning and standardizing data, including the ability to cluster and edit text, transform data using custom expressions, and split and merge columns. OpenRefine also provides advanced capabilities for reconciling and matching data to external sources, making it an essential tool for data scientists, analysts, and researchers who need to work with complex and messy data. With its intuitive interface and powerful features, OpenRefine provides an effective platform for teams to collaborate and transform their data effectively.

• Individuals
• Small Businesses
• Teams
• Organizations
• Data Scientists
• Analysts
• Researchers

and anybody who works with large and complex datasets.

OpenRefine is a cost-effective solution for those who do not have access to expensive data management tools. The tool and its pre-requistes essential for its installation covered by us are:

• OS: Ubuntu Server 20.04 LTS
• Environment: openjdk-11-jre-headless
• Tool: openrefine-linux-3.7.1

and other necessary customization and settings for compatibility.

• Minimum memory: 4 GB
• Minimum vCPU: 2 vCPUs
• Operating System: Ubuntu 18.04 LTS or newer, Debian 9 or newer, CentOS 7 or newer, or Fedora 30 or newer.
• Storage: 10 GB

There are several reasons why one might choose to use OpenRefine over other such platforms:

1. Faceting: Drill through large datasets using facets and apply operations on filtered views of your dataset.
2. Clustering: Fix inconsistencies by merging similar values thanks to powerful heuristics.
3. Reconcilation: Match your dataset to external databases via reconciliation services.
4. Infinite Undo/Redo: Rewind to any previous state of your dataset and replay your operation history on a new version of it.
5. Privacy: Your data is cleaned on your machine, not in some dubious data laundering cloud.
6. Wikibase: Contribute to Wikidata, the free knowledge base anyone can edit, and other Wikibase instances.

For creating your own Organization through a web interface follow the steps:

1. Make sure that port 80 is enabled.
2. Wait a couple of minutes after starting the VM.
3. Navigate to your VM's Public IP Address