Published
Edited
Jun 12, 2020
3 stars
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render_data_table(full_data.slice(0, 10))
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// import { table } from "@gampleman/table"
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// table(full_data.slice(0,10))
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md`
| ${full_data.columns[0]} | Notebook |
| ----------------------- | -------------------------------------------- |
| ${full_data[0].day} | [${full_data[0].title}](${full_data[0].url}) |
`
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// import {mdTable} from '@uwdata/data-utilities'
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// mdTable([{c1: "Day", c2: "Title"}, {c1: "1", c2: "25 Apr 2020: First Bar Chart"}])
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// data = Object.assign(d3.csvParse(await FileAttachment("Cells in Journal_ Getting Started with Data Viz - Journal cells - 30 May 2020.csv").text(), ({"Number of cells": cells}) => +cells), {x: "Cells", y: "Days"})
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d3 = require("d3@5")
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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.
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