Tutorials

Getting started with Observable? You’ve come to the right place.

Getting Started
These notebooks will walk you through the basics of Observable
1.
Observable Overview
2.
A Taste of Observable
3.
Team and individual workspaces
4.
Security and data access in Observable
Hands-on Tutorials
Learn how to make your own Observable notebooks with these guided walkthroughs.
1.
Hands-on Tutorials
2.
Build Your First Custom Scatterplot
3.
Learn Just Enough JavaScript: Introduction
4.
Introduction to web-based data visualization
5.
Analyzing revenue by category for an online store
6.
Which items are purchased together?
7.
Exploratory Data Analysis
8.
Analyzing Time Series Data Interactive Workshop
Observable Libraries for Visualization
Learn about our standard libraries for making powerful visualizations.
1.
Observable Libraries for Visualizations
2.
Observable Plot
3.
Observable Inputs
4.
D3 Gallery
Working with data
Learn how to work with Spreadsheets, SQL Databases, APIs and Files in Observable
1.
Working with Data
2.
Working with SQL
3.
Working with Spreadsheets
4.
Working with APIs & Remote Files
5.
Working with Files
Observable for Excel Users
New to Observable but have a background in Excel? This series is for you.
1.
Observable for Excel Users: Introduction
2.
Data Loading and Cleanup
3.
Adding Columns to Data
4.
Analyzing Data
5.
Modeling in Observable
Observable for Python Users
A tailored introduction to Observable from the Python perspective.
1.
Learn Just Enough JavaScript: Python Users
2.
Observable for Jupyter Users
3.
JavaScript replacements for Python data science tools
Plot for Matplotlib Users
This collection aims to help Python and Matplotlib users get comfortable building charts using Observable Plot.
1.
Plot Overview for Matplotlib Users
2.
Building Scatterplots Using Plot
3.
Building Histograms Using Plot