ObservableData Science

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Data Science

Examples of how Data Scientists are using Observable

Showing all 25 listings

1.

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

Nov 22, 2022• 65 12

2.

Jupyter-ObservableHQ Bridge

May 19, 2020• 21

3.

Variations on Symmetric Nearest Neighbour smoothing

Job van der Zwan

Dec 13, 2022• 54

4.

Introduction to Linear Regression

Kaydee Hartmann

Jul 3, 2019• 92 2

5.

Union-find data structure

Bryan Gin-ge Chen

Jan 21, 2019• 55

6.

Introducing d3-regression

Apr 8, 2019• 114

7.

Tidy Data in JavaScript

UW Interactive Data Lab•

Dec 10, 2020• 69 5

8.

Visualize a data frame with Observable, in Jupyter

Thomas Ballinger

Mar 2, 2020• 95

9.

3 ways using 'Import' expedites data science workflows

2 authors

Nov 16, 2022• 10

10.

When I use Observable in my Data Science Workflow:

Oct 16, 2022• 20

11.

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

2 authors

Mar 20• 120 11

12.

Classifying Penguin Species 🐧 🐧 🐧

Jul 14• 17 3

13.

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

2 authors

Mar 20• 48 4

14.

Hierarchical Clustering

Christoph Pahmeyer

Jun 1, 2022• 19

15.

Principal Component Analysis (PCA)

Christoph Pahmeyer

Jun 5, 2022• 10

16.

Estimating Logistic Regression Parameters

May 8

17.

Quick sentiment analysis with TensorFlow

Nov 14, 2018• 12

18.

Linear models in Observable notebooks

Christoph Pahmeyer

May 25, 2022• 29 5

19.

Wordle, 15 Million Tweets Later

Mar 8, 2022• 99 7

20.

Power and Energy Model

Western Power•

Feb 21, 2020

21.

Hierarchical Clustering with Druid.js 🍃

Aug 11• 13

22.

Electoral College Decision Tree

Oct 21, 2020• 190 4

23.

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

Apr 13, 2018• 38

24.

Working with SQL

Jan 25• 8 4

25.

How to visualize key sentences in a document?

May 20• 25