I know. It’s tempting. You want to make a splash. You want to liven up the page. And you need to do it fast. But what are you supposed to do knowing that the 3D function misrepresents data and makes you look unprofessional as a data visualizer? How can you make your chart really cool and sexy?
Have no fear, my tips are here!
1) choose a really sexy chart that best reflects the data. Line charts for changes over time, bar charts for comparisons of categories, pie charts for percentages that add to 100.
2) choose sexy colours from the primary and secondary colour wheel. Avoid fluorescent colours. Avoid using yellow on white. And keep in mind that 8% of guys are colour blind so consider a restrained use of dotted or dashed lines.
3) choose really sexy labels and titles that clearly describe and explain the contents of the chart.
4) choose sexy scales that start at zero, end just above the largest number, end have 3 or 4 cut points in between.
5) as a last resort, if you think a chart can only be sexy if it has unnecessary and extraneous components, insert several sparkly blinky unicorns and switch careers