mappl.io documentation
  • GETTING STARTED
    • Getting started
    • How to install the app
    • Your first spatial table
    • Access templates
  • WORKING WITH VISUAL DATA
    • Categorize items using nested shape hierarchies
    • Categorize items by using row and column labels
    • Categorize items by color
    • Tag items using shapes
    • Use native Miro tags
    • Label sticky note clusters
    • Use connector lines
    • Practical tips
  • RESULTS TABLE OUTPUT
    • Results table overview
    • Make changes to the table
    • Filter
    • Sort
  • EXPORT
    • CSV export
    • Notion
    • Airtable
    • Coda
    • Excel
    • Google Sheets
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  1. WORKING WITH VISUAL DATA

Categorize items using nested shape hierarchies

Visually describe up to five levels of data hierarchy

PreviousAccess templatesNextCategorize items by using row and column labels

Last updated 2 years ago

Organize your data visually by categorizing items into up to five hierarchy levels based on nested shapes. Establish clear parent-child relationships between items. Place similar items in the same category.

Utilize this method for various practical applications, such as organizing brainstorming session results, managing project statuses or doing competition research.

With this visual approach, you can quickly identify patterns and insights about your data, making your decision-making process more efficient and well-informed.

The spatial table below illustrates how hierarchical categorization can work in practice. In this example, we associate clients with specific countries and cities in Europe. Nesting of labelled shapes defines the hierarchy relationships. Client G in this case will be associated with four levels of parent categories (Brussels -> Belgium -> Other -> Major clients in Europe). We will be able to query and filter data on any of these levels once we convert the spatial table to a regular table.

Results table view

Find out more:

The spatial table gets converted to a regular table that can then be . The hierarchy is described by the included Top-level, Second level, Third-level and Fourth-level Labels columns. Notice how Client G discussed in the previous section is shown in the results table using these columns. Backlinks can be used to go back to the original item on your Miro board. Data can be and prior to export.

exported as a CSV file
filtered
sorted

Practical tips:

Assigning vertical labels

Practical tips:

Working with sticky note and text box data items