
This handy cheat sheet summarizes best practices for data visualization. Using common practices when creating plots can reduce misinterpretations, make plots easier to understand, and make them more appealing to readers. This makes them more likely to be reused and referenced by others. This cheat sheet is part of a series of cheat sheets created by Rhine-Ruhr Centre for Scientific Data Literacy.
data literacy, data visualization, best practices, research data management, data literacy center, documentation
data literacy, data visualization, best practices, research data management, data literacy center, documentation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
