11/4/2022 0 Comments Basic data visualization![]() ![]()
Below I have listed some of my favorite definitions of data visualization. Basically, data visualization is the practice of visually depicting data in order to recognize patterns and trends in the information presented. In general, the power of these elements in visualization is ordered as position > color > size > shape (The science of data visualization, 2018). Data visualization is a broad term that has been defined in similar but different ways. If the visualization is talking about where people live, it is important to note how many people live there.ġ4. Basic elements in visualization include position, color, size, and shape. Ignoring population size makes accurate comparisons impossible Just because two sets of numbers follow a similar path doesn’t mean there’s a correlation.ġ3. Validity of the percentage is clearly not the same. When an experiment or study is led on a totally not significant sample size, not only will the results be unusable, but the way of presenting the results as percentages will be misleading.Įxample: Asking a question to a sample size of 20 people where 19 answer "yes" is a 95% "yes" answer rate versus asking the same question to 1,000 people and 950 people answer "yes" giving a 95% "yes" result rate again. Using percentage change in combination with a small sample sizeĪlongside the choice of sample (see #9), an additional factor to be aware of is the size of the sample. Example: Surveying college students about legal drinking ageġ0.
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