Published
Edited
May 14, 2022
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
// 👆 To produce the result above, uncomment and complete the code below 👇:
// meteorites_temporary = FileAttachment('meteorites.csv').csv({typed: true})
// .then( data => {
// data.forEach( d => {
// ... // parse the Date column using `new Date(year, month, day, hours, minutes, seconds, milliseconds)`
// ... // convert mass from grams to tons
// })
// return data
// }
// )
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
// 👆 To produce the result above, uncomment and complete the code below 👇:
// aapl_temp = FileAttachment("aapl.csv").csv({typed: true}).then( dataset => {
// dataset.forEach( d => {

// ... // configure d3.timeParse() to mirror the date format in the data
// ... // use the parser on the date column
// ... // make 'Volume' a number (so, not a string)
// ... // make Open, High, Low columns' values numbers (you need to first get rid of the '$' signs)

// })
// return dataset
// }
// )
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
Insert cell
// ...
Insert cell
Insert cell
// import "Wrangler" and "op" cells from "@observablehq/data-wrangler" notebook
Insert cell
// import "SummaryTable" cell from "@observablehq/summary-table" notebook
Insert cell
Insert cell
import {toc} from "@nebrius/indented-toc"
Insert cell
import {imageToDo} from "@clokman/student-blocks"
Insert cell
imageToDo
Insert cell

One platform to build and deploy the best data apps

Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.
Learn more