Marketing

TL;DR The New York Times data team wins Malofiej honors by combining rigorous sourcing, scrollytelling, and design discipline. The article distills ten lessons from NYT visual journalism: context, mobile-first layout, annotation, and ethical chart choices. Why it matters: More than 1,500 entries competed at Malofiej 20 for top infographic awards. Case in point: NYT pieces […]

If you are looking for reliable information for your data visualization process, you should consider open data sources. It means that all kind of datasets are available on the internet and you can access, reuse or even share them, depending on your own purposes. Here we explain more about the concept and list 40 websites.

What data visualization best practices your company can rely on to deliver information? Find out the best graphs and charts for each challenge.

TL;DR Transit map-style graphics work when you plan line weight, corners, station marks, and type first, then snap routes to horizontal, vertical, and 45-degree angles on a grid matched to stroke size (for example, 12-point lines on a 12-point grid). Why it matters: complex networks turn readable when geometry is constrained on purpose. How it […]

TL;DR Periodic visualizations reveal repeating structure in time or sequence. This guide covers four patterns: Mendeleev’s 1869 periodic table, calendars, heat maps, and spirals, plus when lookalike charts fake periodicity. Why it matters: Spotting true cycles beats decorative grids that only mimic the periodic table’s shape. How it works: Calendars place days so weeks line […]

Knowing the benefits of data visualization helps you to understand how this strategy can be useful to your company. Given that, keep reading and find out what they are.

TL;DR Extreme scale is hard to feel, so this piece walks through 12 visualizations that zoom from Powers of Ten and The Scale of the Universe to DNA, geologic time, internet traffic, and xkcd charts like Gravity Wells and the Radiation Dose Chart. Why it matters: without comparison frames, trillion-dollar or atomic figures stay abstract […]

TL;DR Data visualization ethics mirror journalism: reliable sources, transparent analysis, and honest design. Visual.ly outlines three stages (collection, analysis, design) plus a Hippocratic-style oath against misleading charts. Why it matters: Viewers cannot see your analysis steps, so trust depends on declared methods. How it works: Document assumptions, cite sources with dates, and annotate truncated axes. […]

TL;DR Choropleth maps in D3 combine a statistical thematic fill with a projection layer: colors mark spatial enumeration units by an aggregate geographic summary, while d3-geo represents those features with spherical GeoJSON and many map projections. Why it matters: the form makes it easy to see how a mapped variable varies across geography. How it […]