|
Post by account_disabled on Feb 13, 2024 3:23:27 GMT -5
Counting positive and negative numbers. Do not use red for positive numbers and green for negative numbers. The associations of these colors are so strong that they automatically change the meaning in the viewers mind. Make sure there is enough contrast between colors. If the colors are very similar light gray and light gray its hard to tell the difference. Instead avoid using highcontrast color combinations like redgreen or blueyellow. Data Visualization Design Avoid patterns. Stripes and Cuba Email List polka dots sound fun but theyre incredibly distracting. If youre trying to differentiate say use different saturations of the same color on the map. Use only solid lines not dashes in this note. Choose colors accordingly. Some colors stand out more than others adding extra weight to the data. Instead use a single color of different colors or a spectrum between two similar colors to show intensity. Remember to intuitively encode color intensities according to values. Do not use more than colors in one layout. can be a minefield. Readers rely on labels to interpret data but too many or too few can go astray. Data Visualization Design Double check that everything is labeled. Make sure everything that needs a label has one and that there are no duplicates or mistakes. Labels must be visible. All labels must be unobtrusive and easily identifiable with the appropriate data point. LinkedIn vs Facebook Which is Better for Business Mark the lines straight. If possible include data labels with your data points.
|
|