View tables

The Table tab allows us to review the trait data, manage the data like suppressing possible outliers and view the descriptive statistics. It is divided into two sections: The Stats and Trait Table sections.

1. The Stats section contains the descriptive statistics of all numeric traits of the active occurrence. You may click the dropdown button to show or hide the table. By default, the table is shown.

2. The Trait Table section contains the table with the plot list information and all the trait data collected. You may suppress or unsuppress data in this section per plot, per trait, or per data point.

3. Before reviewing your plot trait data, you must first be familiar with the color-coded keys in the Phenotypic Data Manager. These keys group your data depending on their types and whether the collected trait is quality controlled or not. Any changes to the data will be reflected in the trait table. Click on the dropdown menu for the list of keys.

Sort and filter data

Sort using headers

You may sort your data in either ascending or descending order by clicking the column headers.

Filter using the search bar

You can filter your data by typing the specific data in the search bar under each header.

Filter using settings

You may also filter your data by showing only the outliers and/or suppressed data. From the toolbar above the trait table, click .

You have the option of clicking Show possible outliers only, Show suppressed data only, or both by clicking the .

Filter trait columns

You may also select the trait columns that you want to hide or show in your table.

1. At the upper left part of the table, click the Trait(s) dropdown menu.

2. Click the trait(s) that you want to view in the table. You may either select between one or more traits or the All traits option. Click again on the trait to deselect.

3. Once done, click Apply.

Assign trait data classification

You may now assign a classification of your plot trait data individually in the Phenotypic Data Manager. Locate a cell in the trait table and right-click to view the options for trait data classification. The cell will then change color depending on the classification of data. Click the dropdown menu for the options.

Suppress multiple data

There are three ways of suppressing data in the Phenotypic Data Manager: (1) by suppressing all possible outliers, (2) by suppressing outliers from a trait column, and (3) by suppressing trait data of selected plots.

Suppress all possible outliers

This allows you to suppress all the outliers that were automatically identified in the trait table.

1. From the toolbar above the trait table, click Edit, then Suppress all possible outliers.

2. A modal window will notify you that you will suppress all the possible outliers. Click Suppress to confirm. When it’s done, the cells with the outliers will change their color to gray.

Suppress possible outliers by trait

This allows you to suppress all the outliers from a specific trait column in the table.

1. From the toolbar above the trait table, click Edit, then Suppress possible outliers by trait.

2. A modal window will notify you that you will suppress all the possible outliers from a trait. From there, select the trait where the outliers will be suppressed.

3. Click Suppress to confirm. When it’s done, the cells with the outliers from the selected trait column will change their color to gray.

Suppress from selected plot

This allows you to suppress all the trait data from a specific plot row in the table.

1. Tick the of the plot where you want to suppress data. From the toolbar above the trait table, click Edit, then Suppress possible outliers by trait.

2. All of the data selected will be suppressed and the cells will change their color to gray.

Save changes

Once you are done reviewing your trait data, you may finally save it. By saving the changes, the trait data will be marked as good data. There are two ways to do so.

1. From the toolbar above the trait table, click .

2. A modal window will notify you that you will save all the changes done to the plot trait data. Select first the trait(s) that are done for quality checking. Optionally, write comments on the textbox provided.

3. Once done, click Save to confirm.

4. After saving, a modal window will appear notifying your successful transaction. You will then be automatically sent to the Analysis Request Manager.

5. In the Experiment Manager tool, your occurrence will now have the status of TRAIT DATA QUALITY CHECKED.

Great job! Your phenotypic data has undergone quality checking and is ready for analysis. If you want to review your data thoroughly, you may proceed with generating data visualizations.