Nightingale
Published in

Nightingale

Data Vis as Guide Dog

Charts and graphs have a job to do: the secret is knowing when they are (and aren’t) on the job

As a data vis designer living in both the art and data worlds, I sometimes hear that I should “just go wild” or “let my hair down” to produce more exciting, visually engaging graphics that feel more fun. On the other hand, I also hear that data visualization is a serious discipline with a purpose, where clarity and accurate interpretation trump all other concerns.

--

--

--

We moved to https://nightingaledvs.com!

Recommended from Medium

Save any type of file from Azure Synapse Notebook on Azure Data Lake Gen2

What the Bleep is Logistic Regression?

One of the Best Trend-Following Strategies.

Market Segment Analysis Part 1 — Analyzing and Clustering Data

Putting Environmental Data in Context

Identifying bias in cable news

Mean, Median, and Mode in Statistics

Creating a Trading Strategy Using the RSI & the Bollinger Bands. New Ideas Using Python.

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Erica Gunn

Erica Gunn

More from Medium

Why Dashboard Gauges Aren’t as Bad as You Think

artwork

Tools to Create Graphs, Tables and Equations in Academic Writing — Latex, Draw.io, Asana and more

How can you be rated as a Featured Author in data analytics?

Tableau Featured Authors, March 2022