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... ... @@ -1,1 +1,1 @@ 1 -5.8.2.2 折线图1 +5.8.2.2 Line Chart - 父
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... ... @@ -1,1 +1,1 @@ 1 - Main.5\. 设计应用.5\.8 报表设计.5\.8\.2 报表设计器.WebHome1 +Egret Cloud Operation manual.5\. 设计应用.5\.8 报表设计.5\.8\.2 报表设计器.WebHome - 文档作者
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... ... @@ -1,1 +1,1 @@ 1 -XWiki. yinshi1 +XWiki.liuqing01 - 内容
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... ... @@ -1,302 +1,177 @@ 1 - **【使用场景-折线图】**1 + 2 2 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:3 +==== **[Usage Scenario]** ==== 4 4 5 + 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: 6 + 5 5 * ((( 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。8 +**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. 7 7 ))) 8 8 * ((( 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。11 +**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. 10 10 ))) 11 11 * ((( 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。14 +**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. 13 13 ))) 14 14 * ((( 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。17 +**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. 16 16 ))) 17 17 20 +==== ==== 18 18 22 +==== **[Function Introduction]** ==== 19 19 20 - ======【功能简介】======24 +A line chart is used to display the changes in data over a continuous time interval or span, and its characteristic is to reflect the trend of things changing over time or ordered categories. 21 21 22 - 折线图用于显示数据在一个**连续的时间间隔或者时间跨度上的变化**,它的特点是反映事物随时间或有序类别而变化的趋势。26 +[[image:1740626962720-557.png]] 23 23 24 - [[image:1729663152165-172.png]]28 +The composition of a line chart includes: 25 25 26 -一个折线图的构成包括: 30 +1. **Horizontal axis (X-axis): **The horizontal axis in a line graph is the horizontal axis, usually used to display continuous variables such as data classification or time. 31 +1. **Vertical axis (Y-axis):** The vertical axis in a line chart is the axis in the vertical direction, usually used to display numerical values or quantities of data. 32 +1. **Point: ** Each point represents the data value at a specific position on the horizontal and vertical axes. In a line chart, the line connecting all points can show the trend and change of the data. 33 +1. **Line:** The lines in a line chart are straight lines formed by connecting data points, representing the trend of data changes. The trend of the lines can intuitively show the growth, decrease, or fluctuation of the data. 27 27 28 -1. ((( 29 -**横轴 (X 轴):** 30 30 31 -1. ((( 32 -**定义:** 折线图中的横轴是水平方向上的轴线,通常用于表示数据的分类或者时间等连续性变量。 33 -))) 34 -1. ((( 35 -**含义:** 横轴通常表示自变量,即数据的分类或者时间序列。在折线图中,横轴上的数值或分类标签决定了折线图中每个数据点的横坐标位置。 36 -))) 37 -))) 38 -1. ((( 39 -**纵轴 (Y 轴):** 40 40 41 -1. ((( 42 -**定义:** 折线图中的纵轴是垂直方向上的轴线,通常用于表示数据的数值或者数量。 43 -))) 44 -1. ((( 45 -**含义:** 纵轴通常表示因变量,即与自变量相关联的数值或数量。在折线图中,纵轴上的数值决定了折线图中每个数据点的纵坐标位置。 46 -))) 47 -))) 48 -1. ((( 49 -**点:** 37 +==== 【Basic Attributes】 ==== 50 50 51 -1. ((( 52 -**定义:** 折线图中的点是由数据组成的离散的数据点,代表着某个具体的数据值。 53 -))) 54 -1. ((( 55 -**含义:** 每个点代表了横轴和纵轴上特定位置的数据值。在折线图中,连接所有点的折线可以展现数据的趋势和变化。 56 -))) 57 -))) 58 -1. ((( 59 -**线:** 39 +|**Horizontal axis**|**Longitudinal axis**|**Search Fields**|**Refernce Line**|**Filter conditions** 40 +|Multiple fields can be configured, but up to 30 fields are allowed|Only one field can be configured|After configuration, the client can draw a line chart by searching for data that meets the criteria based on different search field values|Multiple fields can be configured, but up to 30 fields are allowed|Configure the condition values for filtering data sources 60 60 61 -1. ((( 62 -**定义:** 折线图中的线是由连接数据点而成的直线,用于将各个数据点串联起来形成折线。 63 -))) 64 -1. ((( 65 -**含义:** 折线代表了数据的变化趋势,通过线的走势可以直观地展现数据的增长、减少或者波动情况。 66 -))) 67 -))) 68 - 69 -====== 【基本要求】 ====== 70 - 71 -要实现折线图的效果,基本要求如下 。 72 - 73 - 74 -|横轴|纵轴|分组|参考线 75 -|最多1个字段|可选多个字段,最多30个字段|最多1个字段|可选多个字段,最多30个字段 76 - 77 77 ====== ====== 78 78 79 -==== ==【配置步骤】======44 +==== **[Configuration steps]** ==== 80 80 81 -**Step-1 选择图形**46 +**Step-1 Select Bar Chart** 82 82 83 - 创建报表,选择折线图,如图:48 +[[image:1750236203873-321.png]] 84 84 85 - [[image:1729663321225-837.png]]50 +**Step-2 Select chart display fields** 86 86 52 +Drag and drop the fields from the data source list on the right onto the horizontal axis, vertical axis, search field, and reference line 87 87 88 - **Step-2选择图表展示字段**54 +[[image:1750236277225-718.png]] 89 89 90 - 将右边数据源列表中的字段拖动放到【横轴】、【纵轴】、【分组】、【参考线】上56 +**Step-3 Style settings** 91 91 92 - [[image:1729663922832-959.png]]58 +Divided into three categories: [Basic Style], [Coordinate Axis], [Legend], as shown in the following figure: 93 93 60 +[[image:1750236309737-734.png]] 94 94 95 -Step -3样式设置62 +==== **[Style Configuration Description]** ==== 96 96 97 -分为三小类:【基础】、【坐标轴】,【图例】,如下图 64 +|(% colspan="1" rowspan="1" %)Classification|(% colspan="1" rowspan="1" %)Configuration Items|(% colspan="1" rowspan="1" %)Purpose 65 +|(% colspan="1" rowspan="12" %)((( 66 +Basic Style 98 98 99 -[[image:1729663961688-819.png]] 100 - 101 - 102 -样式设置 103 - 104 -样式设置 105 - 106 -|(% colspan="1" rowspan="1" style="width:52px" %)((( 107 107 108 -)))|(% colspan="1" rowspan="1" style="width:76.9844px" %)((( 109 -样式设置分类 110 -)))|(% colspan="1" rowspan="1" style="width:94px" %)((( 111 -配置项 112 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 113 -用途 114 -))) 115 -|(% colspan="1" rowspan="21" style="width:52px" %)((( 116 -**折线图** 69 +)))|(% colspan="1" rowspan="1" %)Show heading |(% colspan="1" rowspan="1" %)((( 70 +Control whether the chart title in the upper left corner of the canvas is displayed. When closed, the chart title will not be displayed in the report, The words "柱状图1" are shown in the following figure; 117 117 118 - 119 -)))|(% colspan="1" rowspan="12" style="width:76.9844px" %)((( 120 -基础 72 +[[image:1740645772547-595.png]] 121 121 122 122 123 -)))|(% colspan="1" rowspan="1" style="width:94px" %)((( 124 -显示标题 125 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 126 -((( 127 -控制画布左上角的标题是否显示的开关 128 - 129 -[[image:1729664204675-778.png||height="214" width="731"]] 130 130 ))) 76 +|(% colspan="1" rowspan="1" %)Chart title|(% colspan="1" rowspan="1" %)You can name the chart yourself 77 +|(% colspan="1" rowspan="1" %)((( 78 +Help text 79 +)))|(% colspan="1" rowspan="1" %)((( 80 +Control whether the help copy is displayed in the chart. If enabled, client users can see a "?" icon after the chart title and the corresponding help copy when moving the mouse over the icon; 131 131 132 -((( 133 - 82 +[[image:1740645921975-640.png]] 134 134 ))) 135 -))) 136 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 137 -标题名称 138 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)支持用户自定义报表标题 139 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 140 -帮助文字 141 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)开启后,标题右侧出现小问号,鼠标悬浮时,出现帮助文字具体内容 142 -[[image:1729664436892-701.png]] 143 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 144 -帮助文字内容 145 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)支持用户自定义帮助文字的文案,例如“这是本月销售订单总额的统计” 146 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 147 -折线图类型 148 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 149 -((( 150 -支持2种类型:折线、曲线 151 -[[image:1729664469432-978.png||height="398" width="875"]] 152 -))) 84 +|(% colspan="1" rowspan="1" %)Help text content|(% colspan="1" rowspan="1" %)Enter a description of the chart here to help client users understand the chart data; 85 +|(% colspan="1" rowspan="1" %)Line chart type|(% colspan="1" rowspan="1" %)((( 86 +Provide 2 types: line and curve 153 153 154 -((( 155 155 156 156 ))) 157 -))) 158 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 159 -配色方案 160 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 161 -支持用户自定义(多Y轴时)整体的配色方案 162 -))) 163 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 164 -显示缩略轴 165 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)支持用户设置针对横轴的缩略轴,即:查看横轴上某一区间的数据 166 -[[image:1729664570038-223.png||height="477" width="822"]] 167 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 168 -展示点 169 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 170 -((( 171 -默认打开,关闭后画布上不显示折线的每个描点 90 +|(% colspan="1" rowspan="1" %)Color scheme|(% colspan="1" rowspan="1" %)Customize the color scheme of the Y-axis pillar; 91 +|(% colspan="1" rowspan="1" %)((( 92 +Display thumbnail axis 93 +)))|(% colspan="1" rowspan="1" %)Set a thumbnail axis for the horizontal axis, that is, to view the data of a certain interval on the horizontal axis;[[image:1740732178186-806.png]] 94 +|(% colspan="1" rowspan="1" %)Display point|(% colspan="1" rowspan="1" %)((( 95 +By default, when turned off, each trace point of the line will not be displayed on the chart 172 172 97 +[[image:1740732311368-570.png]] 173 173 174 -[[image:1729736532720-382.png||height="441" width="866"]] 175 -))) 176 - 177 -((( 178 178 179 179 ))) 180 -))) 181 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 182 -点大小 183 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 184 -控制折线图中点大小 101 +|(% colspan="1" rowspan="1" %)((( 102 +Point size 103 +)))|(% colspan="1" rowspan="1" %)((( 104 +Control the size of the midpoint in the line chart 185 185 186 -[[image:1729664677195-525.png||height="515" width="857"]] 187 -))) 188 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 189 -展示线 190 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 191 -默认打开,关闭后折线的线段消失,只显示点(类似散点图) 192 - 193 -[[image:1729664725301-778.png||height="403" width="937"]] 194 - 195 195 196 196 ))) 197 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 198 -线粗细 108 +|(% colspan="1" %) |(% colspan="1" %) 109 +|(% colspan="1" rowspan="1" %)((( 110 +Display Line 199 199 200 200 201 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 202 -支持用户控制折线的线段粗细 203 -))) 204 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 205 -填充 113 +)))|(% colspan="1" rowspan="1" %)((( 114 +By default, when turned off, the line segments of the line chart disappear and only points are displayed (similar to a scatter plot) 206 206 207 - 208 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 209 -默认关闭, 打开后每个点向下填充半透明的颜色到X轴,效果如下: 210 - 211 -[[image:1729664811246-731.png||height="276" width="683"]] 212 - 213 - 116 +[[image:1740732470025-322.png]] 214 214 ))) 215 -|(% colspan="1" rowspan=" 5"style="width:76.9844px"%)(((216 - 横轴118 +|(% colspan="1" rowspan="1" %)((( 119 +Line thickness 217 217 218 218 219 -)))|(% colspan="1" rowspan="1" style="width:94px" %)((( 220 -显示轴标题 122 +)))|(% colspan="1" rowspan="1" %)Support users to control the thickness of line segments in polylines 123 +|(% colspan="1" rowspan="4" %)((( 124 +Horizontal axis 221 221 222 222 223 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 224 -开启后,画布中横轴下方,将显示用户配置的横轴的数据源的标题 127 +)))|(% colspan="1" rowspan="1" %)((( 128 +Display axis title 129 +)))|(% colspan="1" rowspan="1" %)((( 130 +After activation, the title of the horizontal data source will be displayed below the horizontal axis in the chart 225 225 226 -[[image:17 29737237381-651.png||height="495" width="909"]]132 +[[image:1740732719678-598.png]] 227 227 ))) 228 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 229 -轴标题名称 134 +|(% colspan="1" rowspan="1" %)((( 135 +Axis Title Name 136 +)))|(% colspan="1" rowspan="1" %)Support users to customize the desired axis title name and text 137 +|(% colspan="1" rowspan="1" %)Color font size|(% colspan="1" rowspan="1" %)Support user-defined color and font size for axis titles 138 +|(% colspan="1" rowspan="1" %)Axis label|(% colspan="1" rowspan="1" %)((( 139 +Control whether to display axis labels in the chart, as shown in the following figure: 230 230 231 - 232 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)支持用户自定义想要的轴标题名称文案 233 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 234 -颜色字号 235 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)支持用户自定义轴标题的颜色和字号 236 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 237 -轴标签 238 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 239 -控制是否显示轴标签的开关,如下图: 240 - 241 -[[image:1729737350555-287.png||height="438" width="900"]] 141 +[[image:1740732916511-206.png]] 242 242 ))) 243 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 244 -(轴标签)自动旋转 245 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 246 -轴标签会斜45°显示,如下图 143 +|(% colspan="1" rowspan="4" %)((( 144 +Longitudinal axis 247 247 248 -[[image:1729737429518-371.png]] 249 -))) 250 -|(% colspan="1" rowspan="4" style="width:76.9844px" %)((( 251 -纵轴 252 - 253 253 254 -)))|(% colspan="1" rowspan="1" style="width:94px" %)((( 255 -显示轴标题 147 +)))|(% colspan="1" rowspan="1" %)((( 148 +Display axis title 149 +)))|(% colspan="1" rowspan="1" %)((( 150 +After activation, to the left of the vertical axis in the chart, the title of the user configured vertical axis (the first data source) will be displayed 256 256 257 - 258 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 259 -开启后,画布中纵轴左侧,将显示用户配置的纵轴的(第一个数据源)的标题 152 +[[image:1740733102756-962.png]] 260 260 261 -(图中:“Y轴标题”是轴标题, “桌子、椅子、窗帘”是图例) 262 - 263 -[[image:1729737694678-922.png]] 154 + 264 264 ))) 265 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 266 -标题内容 267 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)支持用户自定义想要的轴标题名称文案 268 -|(% colspan="1" rowspan="1" style="width:94px" %)((( 269 -轴标签 270 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 271 -控制Y轴轴标签是否显示的开关 156 +|(% colspan="1" rowspan="1" %)Axis title name|(% colspan="1" rowspan="1" %)Custom vertical axis title name copy 157 +|(% colspan="1" rowspan="1" %)((( 158 +Show axis lables 159 +)))|(% colspan="1" rowspan="1" %)((( 160 +Control whether the Y-axis label is displayed 272 272 273 -[[image:17 29737826799-987.png||height="434" width="369"]]162 +[[image:1740733325618-128.png]] 274 274 ))) 275 -|(% colspan="1" rowspan="1" style="width:94px"%)(((276 - 刻度数277 - )))|(% colspan="1" rowspan="1" style="width:1272px" %)支持用户配置的Y轴的刻度数(注意:这里的刻度数是一个预估值,报表引擎在渲染时可能会根据实际情况改变最终呈现的刻度数)278 -|(% colspan="1" rowspan="1" style="width:52px"%)(((279 - 280 -)))|(% colspan="1" rowspan=" 3"style="width:76.9844px"%)(((281 - 图例164 +|(% colspan="1" rowspan="1" %)Scale count|(% colspan="1" rowspan="1" %)Customize the scale number of the Y-axis (note: the scale number here is an estimated value, and the report engine may change the final rendering scale number according to the actual situation during rendering) 165 +|(% colspan="1" rowspan="3" %)((( 166 +Legend 167 +)))|(% colspan="1" rowspan="1" %)((( 168 +Show legend 169 +)))|(% colspan="1" rowspan="1" %)((( 170 +By default, it is turned on, and when turned off, the legend will not be displayed 282 282 283 - 284 -)))|(% colspan="1" rowspan="1" style="width:94px" %)((( 285 -显示图例 286 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 287 -默认开启, 关闭后则不显示图例 288 - 289 -[[image:1729737941885-204.png||height="506" width="842"]] 172 +[[image:1740737403837-995.png]] 290 290 ))) 291 -|(% colspan="1" rowspan="1" style="width:52px" %)((( 292 - 293 -)))|(% colspan="1" rowspan="1" style="width:94px" %)((( 294 -图例位置 295 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)图例默认出现在画布的左上角,同时支持用户设置图例在画布中的位置 296 -|(% colspan="1" rowspan="1" style="width:52px" %)((( 297 - 298 -)))|(% colspan="1" rowspan="1" style="width:94px" %)((( 299 -颜色字号 300 -)))|(% colspan="1" rowspan="1" style="width:1272px" %)((( 301 -支持用户根据需要自行调整图例的颜色和文字大小 302 -))) 174 +|(% colspan="1" rowspan="1" %)((( 175 + Legend position 176 +)))|(% colspan="1" rowspan="1" %)The legend defaults to the top left corner of the chart and supports displaying the legend in other positions of the chart, such as the top center, bottom left corner, top right corner, bottom center, or bottom right corner 177 +|(% colspan="1" rowspan="1" %)Color font size|(% colspan="1" rowspan="1" %)Adjust the text color and font size of the legend
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