// ... import the `myDataset` cell from the previous notebook as the 'ages' cell of this notebook
import{myDatasetasages}from"9e8f04b3c4dea457"
ages
Inputs.table(ages,{width:750})
ages.map((d)=>d.name)
// filter() would be useful here
ages.filter((d)=>d.name==="Gandalf")
// what would happen if you were to use `map()` instead of `filter()`? Try and find out.
ages.map((d)=>d.name==="Gandalf")
// ... filter() could help here
ages.filter((d)=>d.age>20000)
ages.filter((d)=>d.age<1000)
import{imageToDo}from"@clokman/student-blocks"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.