How do you present collected data?
SOME GENERAL RULES
- Keep it simple.
- First general, then specific.
- Data should answer the research questions identified earlier.
- Leave the process of data collection to the methods section.
- Always use past tense in describing results.
- Text, tables or graphics?
How do you present quantitative data?
Presenting Quantitative Data Graphically
- Create a frequency table, bar graph, pareto chart, pictogram, or a pie chart to represent a data set.
- Identify features of ineffective representations of data.
- Create a histogram, pie chart, or frequency polygon that represents numerical data.
What are types of quantitative data?
There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous. Discrete data is a count that can’t be made more precise. Typically it involves integers.
How to present data in a quantitative way?
Only include information pertinent to your key points. Too much extra data can be distracting. If you include very involved visuals, those that will require time and attention to wade through, use them as appendices, not in your summary. When formatting, whether decimal spaces or fonts and column widths, be consistent throughout.
Which is the best way to present data?
Line graphs are most effective in presenting five or more data points over a period of time. As with other graphics, remember to sort your data before finalizing and stay away from 3-D formats. Typically, the horizontal axis (x-axis) denotes time and the vertical axis (y-axis) denotes the frequencies of what is measured.
Can a pie chart be used for quantitative data?
Other graph types such as pie charts are possible for quantitative data. The usefulness of different graph types will vary depending upon the number of intervals and the type of data being represented. For example, a pie chart of our weight data is difficult to read because of the quantity of intervals we used.
Is it possible to display quantitative data visually?
With current technologies, it is possible for almost anyone to distill quantitative data into text, or more visually, into a table or chart. The following notes are guidelines for how to display your data as clearly as possible.