文档更改5.8.2.2 Line Chart

摘要

• 页面属性 (3 修改， 0 新增， 0 删除)

细节

页面属性

标题

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1		-5.8.2.2 Line Chart
	1	+5.8.2.2 折线图

父

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1		-Egret Cloud Operation manual.5\. 设计应用.5\.8 报表设计.5\.8\.2 报表设计器.WebHome
	1	+Main.5\. 设计应用.5\.8 报表设计.5\.8\.2 报表设计器.WebHome

内容

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1		-==== **[Usage Scenario]** ====
	1	+==== **【使用场景】** ====
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3		- A line chart is a commonly used type of chart to display changes over time. It connects data points with lines to show the trend of variables, and is suitable for the following scenarios:
	3	+ 折线图是一种常用于显示随时间变化的图表类型，它通过折线连接数据点来展示变量的变化趋势，适用于以下一些场景：
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6		-**Time trend analysis:**  Line charts are suitable for displaying time series data, such as daily, monthly, or quarterly sales, user visits, or inventory changes, to help users identify long-term trends.
	6	+**时间趋势分析**： 折线图特别适合展示时间序列数据，比如每日、每月或每季度的销售额、用户访问量或库存变化等，帮助用户识别长期的变化趋势。
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9		-**Seasonal changes: ** By observing the fluctuations of the line, it is possible to analyze the periodic changes in the data. For example, seasonal fluctuations in sales revenue, changes in user activity during different time periods, etc.
	9	+**季节性变化**： 通过观察折线的波动，可以分析数据的周期性变化。例如，销售额的季节性波动、用户活跃度在不同时段的变化等。
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12		-**Comparison trend: ** Multiple lines can be used to compare the changes in multiple variables. For example, comparing sales trends of different products, or comparing user growth trends in different markets.
	12	+**对比趋势**： 多条折线可以用于比较多个变量的变化情况。例如，不同产品的销售额趋势对比，或者不同市场的用户增长趋势对比等。
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15		-**Abnormal discovery: ** The prominent peaks or valleys in a line chart help identify abnormal situations in the data, such as an abnormal increase in sales or a sudden decrease in user churn in a certain month.
	15	+**异常发现**： 折线图中突出的峰值或低谷有助于识别数据中的异常情况，比如某月销量异常增高或用户流失量突然减少等。
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18	18	==== ====