Reflect: Think of the pizza party picture from the PL module: Can you identify where data might be hiding? How do these everyday details turn into data that tells a story?
Number of pizzas? Number of students?
In a pizza party, data can be found in many everyday details. For example, the number of guests, the types of pizza people choose, how many slices are eaten, the most popular toppings, the time people arrive, and even how much food is left over are all pieces of data.
When these details are collected and organized, they tell a story. They can reveal patterns, preferences, and behaviors, such as which pizza is the most popular, how much food should be ordered for future events, or whether everyone had enough to eat. This activity shows students that data is all around us and that even simple observations can be used to make informed decisions.
En una fiesta de pizza, los datos están presentes en muchos detalles cotidianos. Por ejemplo, se puede recopilar información sobre el número de asistentes, la cantidad de pizzas consumidas, los sabores más populares, las bebidas preferidas, el tiempo que dura la reunión, la edad de los participantes o cuánto cuesta el evento. Al organizar y analizar estos datos, es posible identificar patrones y tendencias, como qué sabor de pizza tiene mayor demanda, cuánta comida se necesita para futuras reuniones o qué horario favorece una mayor asistencia. De esta manera, detalles que parecen simples se transforman en datos que cuentan una historia y ayudan a tomar decisiones mejor fundamentadas