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.
Why Observable?
2.
Observable overview
3.
A taste of Observable
4.
Team and individual workspaces
Learning Observable
Our definitive course to getting up and running on Observable.
1.
Learning Observable: Introduction
2.
Learning Observable: Observable overview
3.
Learning Observable: Notebooks and cells
4.
Learning Observable: Getting data into Observable
5.
Learning Observable: Observable Plot
6.
Learning Observable: Cell modes, reactive Markdown, and HTML
7.
Learning Observable: Reactive dataflow
8.
Learning Observable: User inputs and interactivity
9.
Learning Observable: JavaScript and Observable
10.
Learning Observable: Importing and remixing cells and notebooks
Enterprise & Pro Team Onboarding
These notebooks will walk you through how to get up and running with Enterprise and Pro Team accounts.
1.
Enterprise & Pro Team Onboarding: Introduction
2.
Enterprise & Pro Team Onboarding: Getting started
3.
Enterprise & Pro Team Onboarding: Securely connecting to data
4.
Enterprise & Pro Team Onboarding: Collaboration and sharing
5.
Enterprise & Pro Team Onboarding: Reusing content
6.
Enterprise & Pro Team Onboarding: Team and project management
7.
Enterprise & Pro Team Onboarding: Get help and stay informed
Working With Data
1.
Working with data
2.
Working with SQL
3.
Working with spreadsheets
4.
Working with files
5.
Working with APIs & remote files
6.
Curated datasets
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.
Build your first map with Observable Plot
5.
Build your first choropleth map with Observable Plot
6.
Analyzing revenue by category for an online store
7.
Which items are purchased together?
8.
Exploratory data analysis
Workflow Resources
1.
Custom theme elements for reuse in Observable Plot
2.
Data wrangling essentials: comparisons in JavaScript, Python, SQL, R, and Excel
3.
Descriptive statistics: comparisons in JavaScript, Python, SQL, R, and Excel
4.
Life in a waffle chart
Observable Libraries for Visualization
Learn about our standard libraries for making powerful visualizations.
1.
Observable Libraries for Visualizations
2.
Observable Plot
3.
Introduction to inputs
4.
D3 Gallery
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 for Matplotlib Users: Overview
2.
Plot for Matplotlib Users: Scatterplots
3.
Plot for Matplotlib Users: Histograms