Importtool: Difference between revisions
imported>Mathias |
imported>Mathias |
||
Line 24: | Line 24: | ||
Here we import a csv file by dragging the file into the browse window. | Here we import a csv file by dragging the file into the browse window. | ||
We have 4 lines of header rows so we set | We have 4 lines of header rows so we set the 'header rows' field to 4 in this window. | ||
Revision as of 12:42, 27 October 2016
Purpose
GUI for designating column/row data types in incoming data. Allows user to specify a column or row as labels, class sets, or axisscale or data.
Synopsis
- [ctypes, rtypes] = importtool(data);
- [ctypes, rtypes] = importtool(data,options);
Description
Allows user to identify data type (data, class, axisscale, include, and ignore) fields (row and columns) in a data matrix.
Options
options = a structure array with the following fields:
- fields: Nx2 cell array, first column is field name, second column is color to use.
Examples
Here we import a csv file by dragging the file into the browse window.
We have 4 lines of header rows so we set the 'header rows' field to 4 in this window.
The importool will attempt to automatically detect label columns. Here the first column containing the names of beers has been automatically detected as a label column. The third column, containing class information of either 'ale' or 'lager' has also been automatically detected as a label column. To set this column to a class column, click where it says 'label' underneath C2 and select class. The importer will now populate the datasets'class field with the information contained within this second column.