Style combination · Contrasts
Data Humanism × Newsroom Data Graphics
Newsroom graphics use chart types readers already know, labelled directly so they can be read at a glance; data humanism invents a new hand-drawn code for each dataset and asks for slow reading. Use the newsroom chart for the finding, a hand-drawn data portrait for the people behind it.
Mix them and make something Data Humanism Newsroom Data Graphics
01
What each style brings
Each part of the design comes from the style with the stronger say in it, and each style gives at least two.
Data Humanism Newsroom Data Graphics & Scrollytelling
- Type from Data Humanism
- Colour from Newsroom Data Graphics
- Form from Newsroom Data Graphics
- Composition from Data Humanism
- Surface from Data Humanism
02
The type
Open fonts standing in for each style’s own type, which is often hand-drawn or commercial.
Display · Data Humanism
Grid
Caveat, standing in for The designer's own handwriting in pen or pencil for titles, legends and annotations (the Dear Data postcards; the red handwritten script of Lupi's Print manifesto, 2017)
Text · Newsroom Data Graphics
The house style of newspaper graphics desks since about 2009–2011 (the New York Times graphics desk, D3.js, the Guardian Datablog): conventional charts drawn from the data, on a white or pale paper ground with light grey gridlines and no axis titles, lines labelled directly in place of a legend where possible and short annotations saying what to look at. A flush-left title states the finding and a source line closes the chart; one highlight colour picks out the story against grey context. In long-form pieces the graphic stays pinned while the text scrolls past and steps it through its states.
Inter; Newsroom Data Graphics used Helvetica and Arial
03
The colours
The ground and leading colours come from Newsroom Data Graphics, with a counter-accent from Data Humanism. The ink reads on the ground at 4.5:1 or more.
Data Humanism Newsroom Data Graphics & Scrollytelling
-
#ffffffground · 36% -
#222222ink · 14% -
#faab18accent · 18% -
#f2c14eaccent · 14% -
#1380a1accent · 10% -
#e0574aaccent · 8%
As CSS
:root {
--ground: #ffffff;
--ink: #222222;
--accent-1: #faab18;
--accent-2: #f2c14e;
--accent-3: #1380a1;
--accent-4: #e0574a;
--font-display: "Caveat", cursive;
--font-text: "Inter", sans-serif;
}
Use it with care
Data Humanism: Data portraits are usually drawn from real people's lives (health, moods, relationships, locations): get consent and anonymise before publishing other people's personal data. Because the custom encodings cannot be read at a glance, give a plain-text summary and the key alongside the drawing for readers who use screen readers or are in a hurry.
Newsroom Data Graphics & Scrollytelling: The look signals checked, sourced reporting: never use it to present invented, unsourced or AI-generated figures as data, always name the source, and do not copy a newspaper's proprietary typefaces, masthead or logo. Give every chart a text summary and do not let colour alone carry the meaning, for readers who use screen readers or cannot tell the highlight colours apart. In a mock-up or generated image the figures are invented: label them plainly as illustrative (for example 'Source: illustrative data'), and never attribute them to a real newspaper, agency, survey or person.
04
The two styles
05
More combinations
With Data Humanism
- Isotype Pictorial Statistics Contrasts · Isotype fixes one standard sign per thing and counts by repeating it so anyone can read the chart; data humanism invents a new code for each dataset and asks for slow reading. Choose Isotype for public information, data humanism for portraits of particular lives.
- Corporate Memphis Contrasts · Both aim to feel warm and human, but Corporate Memphis draws generic faceless figures for mood, while data humanism draws the specific data of specific people. Replace stock warmth with a drawing of real data when a brand needs sincerity.
- Generative & Dynamic Identities Pairs well · Let a generative system draw personal data portraits from people's own answers, as What Counts did, but give the code a hand-drawn grammar and a legend so the output reads as made by people.
- Dark Tech Minimalism Contrasts · The dark dashboard shows a few clean metrics at a glance; data humanism draws the messy, qualitative data a dashboard leaves out. Put one hand-drawn data portrait beside the KPIs to show the people behind the numbers.
- Risograph & Indie Print Culture Pairs well · Print hand-drawn data drawings in two or three riso spot inks for zines and postcards, so each ink becomes one data category and the grain matches the hand.
- Biobrand (Organic Biotech CGI) Contrasts · Data humanism draws organic forms by hand to encode real observations; the biobrand renders them as promotional objects. Borrow its honest encoding when a render risks overclaiming.
- Sketchnoting and Graphic Recording Pairs well · Both keep the human hand visible in explanatory drawing; sketchnoting adds live speed and containers.
- Mithila (Madhubani) Painting Pairs well · Both treat hand-drawn hatching, dots and repeated small marks as content; a kachni-style legend or border can give a hand-drawn chart a South Asian line vocabulary, provided a Mithila painter is commissioned for it.
With Newsroom Data Graphics
- Dark Tech Minimalism Contrasts · The dark dashboard shows unannotated metrics in tiles for people who already know what to look for; the newsroom chart sits on white and tells a general reader in words what the data shows. Add a finding title and one annotation when a dashboard has to explain itself.
- Isotype Pictorial Statistics Pairs well · When the count is of people, swap the bar for an Isotype row of repeated figures and keep the newsroom's flush-left finding title, annotations and source line.
- International Typographic Style Pairs well · Swiss flush-left grotesque setting on a strict grid carries the chart style into print editions, posters and reports while keeping the same rational voice.
- GOV.UK Design (GDS Style) Pairs well · Both are plain public-information web design on a white column with colours that each have one job; set the charts inside GOV.UK-style plain-text pages for public data releases.
- Legible City Wayfinding (Heads-Up Pedestrian Maps) Pairs well · Add the annotated locator maps of data journalism to explain a neighbourhood with the same heads-up clarity.
- Instagram Slideshow Activism (Social-Justice Infographics) Contrasts · Sourced charts with a stated finding are the next step from a slide of bare bullet-point claims; the source line on every slide is common ground, since @soyouwanttotalkabout's maker said hers stood out for 'including sources at the bottom of every slide'.
- Sketchnoting and Graphic Recording Contrasts · Drawn live from speech rather than constructed from data; the pairing makes a plain summary more personal.