Create the project
Launch OpenRefine
Windows: double-click on the openrefine.exe
file. Java services will start automatically on your machine, and OpenRefine will open in your browser. Be sure to use either Chrome or Firefox, as OpenRefine does not play well with Microsoft Edge or Safari.
Mac: OpenRefine can be launched from your Applications folder.
Linux: navigate to your OpenRefine directory in the command line and enter ./refine
.
Once OpenRefine is launched in your browser, the home screen displays options to Create Project
, Open Project
, or Import Project
.
Select Create a project
.
If launch fails
If OpenRefine does not automatically open within your browser after launch, point your browser at http://127.0.0.1:3333/
or http://localhost:3333
to launch the program.
Upload data from your computer
- Choose
Create Project
- Select
Get data from this Computer
. - Select
Choose Files
and browse to select the fileQldShark_2017_Clean_v1.csv
you saved to yourDownloads
folder. - Either click
Open
or double-click on the filename to import it into OpenRefine. - Click
Next
.
Preview the data
- Choose
UTF8
as the method of encoding as this should convert any ‘smart’ formatting into plain text. - Give the project a meaningful name such as
QLDShark_2017_Clean_v2
- If all looks fine, click
Create Project
.
The original dataset presents details of numbers of sharks caught in the Shark Control program by species, date of capture and location and other variables. This version of the dataset has ten variables. Take a look at each variable in the columns presented.
Let’s now try to add a few more variables to the dataset.