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When we export this tree, we will get the CSV file with the following content –

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Let us examine the correspondence between the tree and the exported file –

  1. Each item in the tree has a row for itself.

  2. Each row has an indent value, that corresponds to its depth in the tree.

    1. For example, Username and Password based login , has an indent level 1.

    2. The next level item nodes have an indent level of 2. Similarly, their child item nodes would have an indent level of 3 and so on.

  3. In the Tree View, consider the item nodes Username and Password based login and Validate Username and password based login scenario

    1. Observe that Username and Password based login is connected to Validate Username and password based login scenario by the Validated By board connection.

    2. Now, observe the CSV file. Here, we see that the row corresponding to Validate Username and password based login scenario has the indent value 2, meaning that it is one level deeper than Username and Password based login(having level 1).

    3. But how do we know what the relation between both of these items is? This information lies in the Link column of the Validate Username and password based login scenario row. The value of link column here is Validated By, which corresponds to the connecting link node in the tree.

  4. Alongside the Indent, Item Name and Link columns, you will find data columns of the item card spread out as columns. Looking at the first row, we can see its information fields: Board name, Person and Status.