Open a table with thousands of numbers. What do you understand? Probably nothing. This is where design helps.

Data design is organizing data and showing it clearly and understandably.

The goal is for people to reach the information fast and use it correctly, without confusion.

Same data, but organized and shaped so it helps you understand and decide.

There are five methods to present data better.

Abstraction: remove extra details and keep what matters. Pictogram: a simple picture that expresses an idea.

Icon: a small symbol that stands for an action or thing. Visualization: a chart showing relations and numbers.

And structuring: arranging items in an organized form such as lists, tables and sections.

When you use an app you deal with the user interface (UI): the screen, buttons and menus.

User experience (UX) is your whole feeling while using the product: easy or tiring?

A good interface has usability: simple and clear, and accessibility: it suits everyone, even people with disabilities.

A sign of good design is that a button's look suggests how to use it, called affordance.

Lots of information to organize? There are five famous ways called LATCH.

L Location, like maps. A Alphabet, like a directory.

T Time, like timelines. C Category, like store sections.

And H Hierarchy, like ordering from biggest to smallest.

Let's apply LATCH to a school library with thousands of books.

Split books into sections: science, literature, history. That is Category (C).

Inside each section, arrange books by author names. That is Alphabet (A).

On shelves we mark places, which is Location (L), so a student finds a book in seconds.