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Data Science in Observable
Collection of notebooks related to data science in Observable
Showing all
22
listings
1.
Hierarchical Clustering
Christoph Pahmeyer
Jun 1, 2022
•
24
2.
Principal Component Analysis (PCA)
Christoph Pahmeyer
Jun 5, 2022
•
12
3.
Classifying Penguin Species 🐧 🐧 🐧
Matt Dzugan
Jul 14, 2023
•
17
3
4.
Estimating Logistic Regression Parameters
Mario Delgado
May 8, 2023
5.
Machine Learning in JS with TensorFlow.js (Part I)
"Ta" Virot C.
Apr 13, 2018
•
39
6.
Wrangling data in JavaScript with Arquero: a primer for R users
Observable
Nov 22, 2022
•
75
12
7.
Linear models in Observable notebooks
Christoph Pahmeyer
May 25, 2022
•
30
8
8.
Hierarchical Clustering with Druid.js 🍃
Rene Cutura
Aug 11, 2023
•
14
9.
Wordle, 15 Million Tweets Later
Robert Lesser
Mar 8, 2022
•
100
7
10.
Data wrangling essentials: comparisons in JavaScript, Python, SQL, R, and Excel
Observable
Mar 20, 2023
•
125
11
11.
Electoral College Decision Tree
Observable
Oct 21, 2020
•
195
4
12.
Introducing d3-regression
Harry Stevens
Apr 8, 2019
•
120
13.
Variations on Symmetric Nearest Neighbour smoothing
Job van der Zwan
Dec 13, 2022
•
54
14.
Working with SQL
Observable
Jan 25, 2023
•
10
4
15.
How to visualize key sentences in a document?
WinkJS
May 20, 2023
•
25
16.
Jupyter-ObservableHQ Bridge
oscar6echo
May 19, 2020
•
21
17.
Introduction to Linear Regression
Kaydee Hartmann
Jul 3, 2019
•
92
2
18.
Visualize a data frame with Observable, in Jupyter
Observable
Mar 2, 2020
•
96
19.
When I use Observable in my Data Science Workflow:
This notebook is a fork
Maya Gans
Oct 16, 2022
•
20
20.
3 ways using 'Import' expedites data science workflows
Observable
Nov 16, 2022
•
10
21.
Union-find data structure
Bryan Gin-ge Chen
Jan 21, 2019
•
55
22.
Tidy Data in JavaScript
UW Interactive Data Lab
Dec 10, 2020
•
73
5