PORTAL USER GUIDE
Reshape Table Long-to-Wide
The Reshape Table Long-to-Wide tool allows you to transform spatial data tables which are of long-format into wide-format. Wide-format tables represent one subject of data per row with many columns representing, for example one variable over many columns. Long-format tables contain multiple rows of the same subject with varying information.
For this worked example, we will transform a wide-format data table into a long format data table. A theoretical table with limited dimensions has been used to allow for ease of visualisation, this tool would work for any similarly formatted table of much larger dimensions.
The table we will be working on:
|1||2015-01-04T13:00:00.000+0000||Angaston Power Station||85.259999|
|2||2015-01-05T13:00:00.000+0000||Angaston Power Station||565.340002|
|3||2015-01-04T13:00:00.000+0000||Bogong / Mckay Power Station||21.675|
|4||2015-01-05T13:00:00.000+0000||Bogong / Mckay Power Station||7016.8399|
You can download a CSV copy of this table here.
First, we begin by importing the CSV into the AURIN Portal – To do this:
- Click Import in the Data sidebar.
- Browse to the location of your local copy of the CSV file and input the following variables:
- Title: Name of your dataset. Enter ReshapeWideInput.
- Abstract: Description of your dataset. Enter Demonstration dataset for Reshape Wide.
- Aggregation Level: The aggregation level of the geometry of your dataset, in this case, select Non Spatial.
- Key: The primary key of the dataset, this can be any column you view as containing the values which identify each row, select ogc_fid.
- Click Add & Display.
Once you have added the datasets, you are ready to use the Reshape Table Long-to-Wide tool. Follow on to learn about the input options.
- Dataset Input: This is the dataset that contains the columns you would like to include in the calculation. Select the one we imported.
- Key Column: This represents the variable that the dataset should be grouped by. In this instance. Select station_name.
- Subgroup Column: This represents the variable that provides new data. In this instance. Select timestamp.