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Product support for intelligent analysis tool-data interpretation. Users can analyze the factors that influence the data through data interpretation components. Data interpretation can not explain the causality, but through the built-in intelligent advanced algorithm, the statistics and analysis of the more influential factors, as a reference for data analysis. Data interpretation includes two functions: the key factors and best group. The key factors show the category or trend that affects the analysis field most; the best combination shows the combination of key factors that affects the analysis field most. A Y + Analytics license is required to use the data interpretation function. 1.Functional profile As illustrated in following figure. The data interpretation component requires binding to 1 analysis field and at least one interpretation basis field. 2. Function declaration Data interpretation components, using full amounts of data when edit, preview, and view dashboards. 2.1The key factors  Order number | Content | Explain | 1 | The selected value for the analysis field | In this example, the selected value is the Increase. | 2 | Tab | Switch between the views."The Key Factors" shows some explanatory basis that have a significant impact on the selected analysis field. "Best Group" displays some combinations of explanatory grounds that have a significant impact on the selected analysis field. | 3 | An elaboration of the key factors | Chart helping interpretation of analysis results on the left. | 4 | Results of the left side analysis | In this case, a list of key factors is displayed. After clicking on one of the key factors, the right side of the analysis appears. | 5 | The relative importance of the explanatory basis is elaborated | A chart helping to explain the results of the analysis on the right side. | 6 | Results from the right side analysis | In this case, display all values for the selected key factor “market size” in the left. | 7 | Average | The average of all values in “the market size” was calculated except for “the big size” (the selected interpretation basis). In this case, the average sales in the primary market is 49.83 higher than the other overall average (shown in the dashed line). |
2.2Best group [td]Order number | Content | Explain | 1 | The selected value for the analysis field | In this example, the selected value is the “Big size”. | 2 | Tab | Switch between the views."The key factors" shows some explanatory basis that have a significant impact on the selected analysis field. "Best Group" displays some combinations of explanatory grounds that have a significant impact on the selected analysis field. | 3 | Results of the best group | In this case, the list of the best groups is displayed. After clicking on one of the best group, the lower and right analysis results appear. | 4 | Results of the lower side analysis | After clicking on one of the best groups, the detail of the best group appears. In this example, the detail of combination 1 is "Province is Yunnan". | 5 | Results from the right side analysis | In this case, display the proportion of "big size" selected in combination 1 with data of 1 on the left, and compare it with the overall proportion. | 6 | Best group of right bottom analysis results |
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2.3Attribute settings Through the right panel of ask data-format, you can set the component title, theme, format, and the font, font, bold, italic, text color format of the component title. Through the right panel of data interpretation-settings, you can set the name, visibility, alert, action, script, advanced, mobile and position. 3.Case 3.1The key factors Suppose you are the sales of an enterprise, and now you need to analyze the sales volume, find out the factors affecting the market sales, and increase the sales volume. We bind the "Sales" field to the analysis, bind the possible cause field to the interpretation basis, and get the following results.as illustrated in following figure. According to the analysis results, from the perspective of the product, when the product is regular espresso, the average sales increased by 143.2 times, which accounts for 1.69% of the total product. From the perspective of market size, when the market size is the big size, the average sales increases by 95.96 times, which accounts for 39.64% of the total market. From the analysis results, sales are affected by the product and market size, so under what circumstances is the largest sales, this needs to be analyzed through the best group. 3.2Best group Click on the best group, and the analysis results are shown in the figure below. According to the analysis results of combination 1, when the market size is the big size and the product is regular espresso, the average sales volume is 466.12. Combination 2 shows that when the market size is the big size and the product is colombian coffee, the average sales volume is 447.51....... Combination 7 shows that when the market size is the big size and the product is chamomile tea, the average sales volume is 194.41, both higher than the overall average level of 192.99. This shows that when these combinations, the sales will be higher, and it is suggested to choose different explanations to research and analysis according to the specific situation.
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