Examples of how Data Scientists are using Observable

Allison Horst

Observable

Wrangling data in JavaScript with Arquero: a primer for R users

Jupyter-ObservableHQ Bridge

Job van der Zwan

Variations on Symmetric Nearest Neighbour smoothing

Kaydee Hartmann

Introduction to Linear Regression

Bryan Gin-ge Chen

Union-find data structure

Harry Stevens

Introducing d3-regression

Jeffrey Heer

UW Interactive Data Lab

Tidy Data in JavaScript

Thomas Ballinger

Visualize a data frame with Observable, in Jupyter

Maria Ciampa

Using "import" is a fast and intuitive way to access helpful code and content from across the vast network of Observable notebooks.

3 ways using 'Import' expedites data science workflows

Maya Gans

When I use Observable in my Data Science Workflow:

Paul Buffa

Data wrangling essentials: comparisons in JavaScript, Python, SQL, R, and Excel

Matt Dzugan

Classifying Penguin Species 🐧 🐧 🐧

Descriptive statistics: comparisons in JavaScript, Python, SQL, R, and Excel

Christoph Pahmeyer

Hierarchical Clustering

Principal Component Analysis (PCA)

Mario Delgado 

Estimating Logistic Regression Parameters

Tom MacWright

Quick sentiment analysis with TensorFlow

Linear models in Observable notebooks

Robert Lesser

Wordle, 15 Million Tweets Later

Andy Fleming

Western Power

Power and Energy Model

Rene Cutura

Hierarchical Clustering with Druid.js 🍃

Kerry Rodden

Electoral College Decision Tree

"Ta" Virot C.

Machine Learning in JS with TensorFlow.js (Part I)

Ian Johnson

Working with SQL

WinkJS

How to visualize key sentences in a document?

Collections related to specific areas of interest, curated by the Observable team. 

Topics

Data Science 

Collection of notebooks related to data science in Observable

Data Science in Observable

Learn how to make your own Observable notebooks with these guided walkthroughs.


Hands-on Tutorials

this notebook inspired me to start my Observable account

Jeremy Allen

@jeremy-allen that's awesome and thanks for sharing!

Wayne Sutton

This line on the tidyverse side should end in a pipe (`%>%`): 
`arrange(desc(length_cm))`

Mark Whiting

I'm wondering why the two cells below don't have any output. Is that a feature of Observable reading in file attachments to Arquero (not seeing a dropdown that starts "Table...")?

Zach Bogart

Hi Zach, thanks for the comment! These lines do have outputs, I had just hidden the outputs previously (to keep it a bit cleaner here) using the Hide output option (eye icon) in the cell toolbar at the bottom of the browser window (can also use the shortcut: Command comma). I've updated so the outputs are now shown to avoid confusion, thanks for pointing it out!

Whaaaat, that's super cool! I hadn't ever noticed that at the bottom toolbar, I usually use the three dots. Good to know that trick exists, thanks!

lizard-codebook.csv

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lizard-pitfall-data@1.csv

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lizardsPitfallData

lizardCodebook