There are many data visualization tips, however, the top one is to gather data intelligently. Some other tips are to delegate additional research, use great design, and consider interactivity for widgets.
Chat with our AI personalities
The term for a visual representation of data is a data visualization.
There is no one way of presenting data. There are good ways and there are bad ways. You must consider the nature of the data to decide the best way of presenting it. Consider that the famous nurse Florence Nightingale is credited with the first use of "pie charts" to illustrate medical data to non-medical persons. Human beings are very "visual" in nature, so choose the way of presenting data that gives the best impression of the principle you are trying to convey. Pie charts are best for presenting percentages, while line graphs are best for presenting trends, while raw numerical data may be best presented in a table with one quantity ascending/descending in value in the leftmost column. If using computer software such as Excel to present data, you will find a number of choices available in the Chart Wizard which allow you to provide the best visualization.
In Quantitative technique, the researcher's aim is to classify data in graphs, tables, or texts (Others use statistics in doing this) The variables needed in the study are carefully designed. In gathering data, a researcher may use questionnaires, interview method, or survey. This technique is effective especially in testing hypotheses.
The quantitative technique in business is used to analyze quantitative data to enable the professionals make well informed decisions.
Cantor dust is a dynamic visualization tool us for numerous computer applications. Firmware, forensics, and proprietary data formats all use cantor dust.