1. The diagram should be as concise as possible.
Don't be too clear about the problems in the chart. These questions should be answered directly in titles, notes or charts, or indirectly by providing more background in the text. Complex charts should be arranged at the end of the article as far as possible so that readers can understand them on the basis of mastering some relevant knowledge.
2. Chart design should be based on the expression of results.
Accurately highlighting the author's contribution is a blank in the paper, that is, the blank inside or around the chart is easy to attract readers' attention and reading. Therefore, the content and visual effect of the chart must highlight the key points, and the representative manuscript of the paper should be clearly expressed with key charts as far as possible, so as not to contain too much information that does not belong to the work of this paper, so as to avoid the author's manuscript being submerged in the ocean of irrelevant details.
3. According to the needs of data or opinion expression, choose the most appropriate expression form.
The advantage of tables is that a large number of accurate data or information can be listed conveniently, and graphics can express complex data intuitively and effectively. Therefore, if the focus is on providing accurate values to readers, please use tables; If the distribution or trend of data is emphasized, the graphic method is appropriate, and the same data must be avoided in the form of graphs and tables (unless it is necessary to repeat).
Chart type:
1, bar chart.
A bar chart is a graph that represents the amount of data by the height or length of bars with the same width. Bar charts can be placed horizontally or vertically, which is also called a column chart. In addition, bar charts also have simple bar charts, composite bar charts and other forms.
2. Histogram.
Column chart, also known as bar chart, column chart, statistical chart, histogram, bar chart and bar chart, is a statistical chart with the length of a rectangle as a variable. Bar charts are used to compare two or more values (at different times or under different conditions) with only one variable, and are usually suitable for analyzing smaller data sets.
3. Pie chart.
Pie charts are often used in statistical modules to show the ratio of the size of each item to the sum of each item in a data sequence.
4. Ring chart.
A doughnut chart is a graph in which two or more pie charts with different sizes are stacked together and the middle part is cut off.
5. Regional map.
Area chart emphasizes the degree of quantity change with time, and can also be used to draw people's attention to the trend of total value. For example, data representing the profit over a period of time can be drawn in an area chart to emphasize the total profit.