Introduction
-Last updated on 2023-05-09 | +
Last updated on 2024-05-02 | Edit this page
@@ -347,8 +347,8 @@Objectives
Data is often very messy, and this tool saves a lot of time on cleaning headaches.
Data cleaning steps often need repeating with multiple files. It -is important to know what you did to your data. This makes it easy for -you to repeat these steps again with similarly structured data. +is important to know what you did to your data. This makes it possible +for you to repeat these steps again with similarly structured data. OpenRefine is perfect for speeding up repetitive tasks by replaying previous actions on multiple datasets.
Additionally, journals, granting agencies, and other institutions @@ -356,11 +356,11 @@
Objectives
data. With OpenRefine, you can capture all actions applied to your raw data and share them with your publication as supplemental material.
-Any operation that changes the data in OpenRefine can be easily -reversed or undone.
+Any operation that changes the data in OpenRefine can be reversed +or undone.
-
Some concepts such as clustering algorithms are quite complex, -but OpenRefine makes it easy to introduce them, use them, and show their +but with OpenRefine we can introduce them, use them, and show their power.
Note: You must export your modified dataset to a new @@ -379,10 +379,10 @@
Objectives
graphical interface. No internet connection is needed, and none of the data or commands you enter in OpenRefine are sent to a remote server.
- - OpenRefine does not modify your original dataset. All actions are -easily reversed in OpenRefine and you can capture all the actions -applied to your data and share this documentation with your publication -as supplemental material. +
- OpenRefine does not modify your original dataset. All actions can be +reversed in OpenRefine and you can capture all the actions applied to +your data and share this documentation with your publication as +supplemental material.
- OpenRefine saves as you go. You can return to the project at any time to pick up where you left off or export your data to a new file. @@ -489,8 +489,8 @@