Allison Horst

Paul Buffa

Observable

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

Mike Bostock

Methods of Comparison, Compared

Seasonality Index

Mike Freeman

Ian Johnson

Correlation over time

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

Discovering Date Patterns

Yuri Vishnevsky

Seasonal Spirals

Anna Wiederkehr

Monthly Retail Trade Report

Use this fake dataset to practice data exploration. Pizza Paradise was generated by the Observable team. Explore a variety of data visualization forms. Visualize pizza orders by day of week, see product trends over time, map revenue by location. Plot, facet, map, and more.

Pizza Paradise

Eric Lo

Hacking Power BI Charts with Plot

SQL Mystery Game

Rob Moore

Shark Tank: Tech Pitches Exploration

Wayne Sutton

Virginia Poltrack

Clint Bagley

The Observable team is combining efforts to analyze #NBAFinals games & showcase unique ways to use Observable. This notebook series is for NBA fans, the #NBATwitter community + data practitioners to enjoy & experiment with.

Watch the NBA Finals Players Data Jam on Observable

Data Analysis

do you have any examples for how you created the combined scale? It's a brilliant but simple idea!

Luke Murray

Hi Luke, is there anything that you don't find clear about the description in the paragraph above? The idea is to pick a cutoff value, and then glue together two sequential scales: a linear scale from [min, cutoff] and a log scale from [cutoff, max].

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