Five animated formats for watching a ranking reshuffle over time: bars, lines, columns, pie slices and swarming dots. Every one exports as an MP4 built for social.
Ein schneller Überblick: Klicken Sie durch, um eine davon zu öffnen.
A racing chart is any chart where the shape you'd normally draw once instead plays out over time, with the ranking inside it visibly changing as it goes. The bar chart race template popularized the format (bars for a handful of companies or countries grow and swap vertical position as the years tick by), and the same idea has since spread to other shapes. Line races draw each series growing left to right instead of static end to end. Column races run the same motion vertically. Pie races reshuffle slice sizes around a circle. Swarm plots let points drift and cluster as a distribution shifts. All five templates here answer the same underlying question: who's ahead, and when did the lead change hands. They just draw the answer differently.
What makes any of these worth watching is overtakes, not just growth. A dataset where every entity climbs at roughly the same rate produces a race where nothing passes anything: the bars just get longer in the same order, which is a chart animating for no reason. The versions that actually get shared are the ones where the ranking visibly flips: a challenger closes a gap and takes the lead, or a former leader gets passed by two or three rivals in quick succession. That needs both enough entities to make jockeying possible (four to ten is the usual range) and enough time steps for the motion to read as gradual rather than a jump-cut.
This page exists to route you to the right one of the five rather than re-explain each in full. Each template linked below has its own page covering its exact data shape, its export settings and where it works best.
Dieselbe Idee, gerendert als MP4 statt als statisches Diagramm.
Top-selling car models, most-streamed artists, GDP by country: any dataset with several competing entries and at least one real overtake somewhere in the timeline. That overtake moment is what makes the video worth watching to the end.
Ten or twenty years of annual data plays back in twenty to thirty seconds. That's a faster way to say 'this took a decade' than a static chart with a dozen labeled ticks along the bottom.
These are MP4 exports sized for LinkedIn, YouTube Shorts or an embedded blog post. Motion and a satisfying overtake do the explaining, so the viewer doesn't need to read an axis to get the point.
Swarm plot is the odd one out in this family. It's built for watching a cluster of points spread, tighten or shift position rather than tracking a small set of ranked leaders.
Von der Tabelle zum veröffentlichten Diagramm, Schritt für Schritt.
A small set of competing entities racing for the top spot: bar, column or line race. Parts of a shifting whole: pie race. A distribution of many points moving together: swarm plot.
Each of the five templates linked below has sample data pre-loaded so you can see the exact column layout it expects (usually dates down the side and one column per entity) before you touch your own file.
Import a CSV or Excel file, or paste straight from a spreadsheet. PlotSet reads the header row and maps a bar, line or slice to each numeric column automatically.
Adjust playback speed, colors and how many entries stay visible at once, then render an MP4 sized for wherever you're posting it: square, vertical or 16:9.
Öffnen Sie den Editor und starten Sie mit einer Vorlage aus dieser Kategorie. Beispieldaten sind bereits geladen.
Editor öffnenBar chart race, in most cases. It's the format viewers already recognize, it handles four to ten competing entities cleanly, and the horizontal bars leave room for longer labels like company or country names. Reach for column race instead only if your labels are short, like years or short codes.
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