2. When all the investigation and analysis work is completed, the results of these work must be shown to customers. Then, we need to be clear first: what kind of structure system should the report adopt? In what way to express the meaning of data?
3. The structure of the report should include a series of contents such as the purpose, method, scope and data analysis of the study. This system is basically applicable to every report of the same type. So I won't explain it in more detail here. The following contents mainly focus on the expression methods of data analysis conclusions.
4. The part about data analysis is usually represented by charts. Charts are the most effective way to express research results. Before turning the analysis result of the survey into a convincing chart, we should first remember that it is only a tool for transmitting and expressing information, and the important principle of using it is "simple, direct, clear and clear". Each chart contains only one message, and the more complex the chart, the worse the effect of transmitting information.
5. In practical work, various tables, organization charts, flow charts and matrices are widely used in reports, but generally speaking, the following chart forms are the most commonly used: bar chart, pie chart and linear chart.
6. Usually, the relationship reflected by our research data is: frequency distribution, composition, time series, project category or correlation. To express a data with a clear theme, there may be many chart forms.
7. Bar chart should be the most widely used type, and bar chart is another most used type. These two charts basically account for about half of the total number of charts in the whole report; The use of line charts and pie charts should be relatively reduced, and more comprehensive use should be made, such as line charts plus column charts, or pie charts plus bar charts.
8. While using charts to express data, we should also pay attention to the handling of some details. For example, when using histogram and bar chart, the column spacing is smaller than the column itself; When there are many explanatory texts, the bar chart is clearer and easier for readers to identify; When using the pie chart, we should highlight the identification of the data while indicating the data. In other words, both numerical values and data identification are used.
9. A qualified and excellent report should have a very clear framework and concise data analysis results, which means that you need to experience it in the actual work process and summarize it yourself. A qualified report should not only simply look at the picture, but also analyze and judge the phenomenon of data in combination with the characteristics of the project itself and the environment in which the project is located. Of course, it must maintain a neutral attitude and not add its own subjective opinions.