{
	"1st-stdev": "第一标准偏差",
	"2nd-stdev": "第二标准偏差",
	"action-required": "需要采取的行动",
	"actions": "行动",
	"add-elbow-plot": "增加选择聚类数量的肘部图",
	"addition": "加法",
	"aggregation-mode": "聚合模式",
	"alternate-color-scheme": "备用色方案",
	"and": "和",
	"attach-clusters-table": "将群组连接到桌子上？",
	"axis-label-rotation": "轴标签旋转",
	"bandwidth-adjustment": "带宽调整",
	"Bar Chart": "条形图",
	"Bar Chart-description": "条形图是将分类数据以矩形条形图的形式显示，条形图的高度与每类数据的频率成正比。当按第二个变量分组时，条形图就变成了分组条形图，其中每个类别都会显示多个条形图。另一种方法是将条形图叠加在一起，在这种情况下，图表称为叠加条形图。",
	"bars-represent": "条形代表：",
	"bin-quantitative": "将定量变量归类为分类变量",
	"bin-transformer-header": "通过将定量变量分门别类来创建新的变量。",
	"binning-strategy": "分拣战略。",
	"bins": "箱子",
	"boolean-and": "如果A和B都是真的，那么A&B就会被评估为真。",
	"boolean-not": "如果A不是真的，那么！A评估为真。",
	"boolean-or": "A || B如果A或B为真，则评估为真",
	"Box Plot": "盒状图",
	"Box Plot-description": "箱形图和晶须图是定量数据的一种表示方法。对于每个变量，箱形图将其25%分位数（大于数据25%的值）、中位数和75%分位数以箱形的形式显示出来。晶须延伸到样本中小于Q1但大于（Q1 - 1.5*IQR）的最小值的下栅栏，并延伸到类比定义的上栅栏。",
	"calculate": "计算",
	"categorical": "绝对的。",
	"categorical-transformer-header": "通过重命名或合并类别创建新的变量",
	"category-of-interest": "感兴趣的类别：",
	"center-values-subtract-the-mean": "中心值（=减去平均值）？",
	"central-tendency-measures": "中心倾向测量",
	"change-tree-features": "改变树的特征...",
	"Chi-square Independence Test-description": "确定两个分类变量之间是否存在关联的检验。",
	"Chi-squared Independence Test": "秩方独立检验",
	"Chi-squared-description": "卡方分布是一个连续的概率分布，只有一个参数，一个整数表示其自由度。",
	"choose-category-labels": "为区间箱选择分类标签。",
	"clear-all": "全部清除",
	"clear-data": "清晰的数据",
	"clear-plots": "清理地块",
	"close": "关闭",
	"close-tutorial": "关闭教程",
	"closing-parenthesis": "闭括号",
	"color": "色彩",
	"column-to-sample-from": "取样的柱子",
	"column-variable": "栏目变量：",
	"columns": "栏目",
	"common-x-axis": "常见的X轴?",
	"common-y-axis": "常见的y轴?",
	"components-to-add": "# 要添加到数据表的组件数量",
	"confidence-level": "信心水平",
	"Contingency Table": "应急表",
	"Contingency Table-description": "或然表显示两个分类变量值的原始绝对或相对频率，以及它们的行和列的总数。",
	"contingency-table-group-tooltip": "为所选分组变量的每个类别生成一个应急表。",
	"Contour Chart": "等高线图",
	"Contour Chart-description": "等高线图可以用来显示两个定量变量的联合分布。它通过在二维网格上绘制恒定的切片（称为等高线）来绘制三维表面。",
	"correlation": "相关性",
	"Correlation": "相关性",
	"Correlation Matrix": "相关矩阵",
	"Correlation Test": "相关性测试",
	"Correlation Test-description": "用于评价两个变量之间的皮尔逊相关性的检验，它衡量的是两个变量之间的线性关联。",
	"correlation-matrix": "相关矩阵",
	"count": "计数",
	"counts": "计数",
	"create-filtered-dataset": "创建过滤后的数据集",
	"create-filtered-dataset-tooltip": "从当前活动的过滤器中创建新的数据集",
	"create-groups": "创建组（例如，用于训练-测试集分割或交叉验证）。",
	"create-new-variable": "创建新的变量",
	"customize-color": "自定义颜色",
	"data": "数据",
	"data-driven": "数据驱动的",
	"Data-driven-description": "一个非参数的内核密度估计，不是从有参数的统计分布中得出，而是从数据中计算出来的。",
	"data-empty": "数据集为空。",
	"data-explorer": "数据浏览器",
	"decimal-places": "小数点后的位数。",
	"Decision Tree": "决策树",
	"Decision Tree-description": "为回归或分类问题成长决策树。对于定量响应，在算法的每次迭代中，数据按变量进行拆分，拆分后的响应方差减少最大。对于分类响应，数据按导致最大信息增益（以基尼指数或熵来衡量）的特征进行拆分。",
	"delete": "删除",
	"description": "说明",
	"difference-means": "均值之差的数值",
	"difference-proportions": "比例之差的数值",
	"digits-after-decimal-snap": "小数点后的数字，以捕捉到",
	"direction": "方向：",
	"display": "显示。",
	"display-density": "显示密度而不是计数",
	"distance": "距離",
	"division": "部门",
	"drag-red-bars": "拖动红色竖条改变断点。",
	"drag-table": "拖拽表",
	"end": "结束",
	"enter-formula": "输入公式...",
	"entire-dataset-used": "用于创建输出的整个数据集。",
	"example": "例子",
	"example-description-calculation": "将<1>{{variable}}</1>的值乘以<3>9/5</3>，再加上<5>32</5>。",
	"example-description-exponential": "变量的自然指数函数<1>{{variable}}</1>。",
	"example-description-multiply": "将变量<1>{{first}}</1>和<3>{{second}}</3>的值相乘。",
	"Excess Kurtosis": "过度曲率",
	"excess-kurtosis": "过度的Kurtosis",
	"exp-tooltip": "`exp( x )：`自然指数函数。",
	"explanatory-variable": "解释变量（X）。",
	"Exponential-description": "指数分布是一个连续的概率分布，有一个单一的参数，即速率参数，它是平均值的倒数。它经常被用来模拟系统中事件之间的时间。",
	"expression": "表达方式",
	"filtered-data": "经过过滤的数据",
	"filtered-data-tooltip": "点击切换显示活动过滤器",
	"First Quartile": "第一四分位数",
	"first-quartile": "第一四分位数",
	"first-variable": "第一个变量：",
	"Five-Number Summary": "五个数字的总结",
	"five-number-summary": "五个数字的总结",
	"flip-coordinates": "翻转坐标",
	"formula-transformer-example-intro": "使用下面的公式文本区域创建一个新的变量。下表是一些用例。",
	"formula-transformer-header": "创建一个新的变量作为现有变量的函数。",
	"freq-table-group-by-tooltip": "为所选分组变量的每个类别生成一个频率表。",
	"frequencies": "频率",
	"Frequency Table": "频率表",
	"Frequency Table-description": "频率表是一个分类变量值的原始绝对频率或相对频率的表格显示。",
	"fullscreen-display": "全屏显示",
	"function": "功能",
	"generate": "生成",
	"generate-random-data": "生成随机数据",
	"greater-or-equal": "大于或等于",
	"greater-than": "大于",
	"group-by": "组别：",
	"group-by-statistics-tooltip": "分别计算每个类别中一个或两个分组变量的观测值的统计数字。",
	"group-proportion": "集团比例",
	"group-transformer-header": "创建组变量（例如，用于训练/测试集分割或交叉验证）。",
	"group-variable-must-be-different": "请确保组变量或第二个变量不等于你感兴趣的变量。",
	"grouping-variable": "集团变量：",
	"groups": "群体：",
	"Heat Map": "热图",
	"Heat Map-description": "量化变量的数据显示，其中数据值用颜色表示。观测值多的区域用红色表示，没有观测值的区域用深蓝色表示。",
	"hide-example-guide": "隐藏示例指南",
	"hide-toolbox": "隐藏工具箱",
	"Hierarchical Clustering": "层次化聚类",
	"Histogram": "直方图",
	"Histogram-description": "直方图使人们能够直观地看到一个定量变量的分布情况。为了创建一个直方图，观察到的数值范围被划分为不同的、不重叠的区间，称为 \"仓\"；每个仓的高度对应于该仓范围内的观测值的数量。",
	"history": "历程",
	"impurity-measure": "杂质测量",
	"include-intercept": "包括拦截?",
	"initialization-method": "初始化方法",
	"insert-break-line": "插入分界线",
	"interaction": "互动",
	"interactions-functions": "相互作用、变换（如平方）、函数。",
	"Interquartile Range": "四分位数范围",
	"interquartile-range": "四分位数范围",
	"Interval Plot": "区间图",
	"Interval Plot-description": "区间图显示小组平均值的置信区间，因此可以直观地比较各组定量变量的平均数。",
	"jitter-x-axis": "抖动X-轴",
	"jitter-y-axis": "抖动Y-轴",
	"kmeans": "经济手段",
	"kmeans-description": "通过迭代将观测值分配到具有最接近平均值的聚类中的算法，将观测值划分为k个聚类。",
	"Kruskal-Wallis Test": "Kruskal-Wallis检验",
	"Kruskal-Wallis Test-description": "Kruskal-Wallis秩和检验评估多个样本的中位数相同的零假设。Kruskal-Wallis检验是一种非参数检验，不要求数据是正态分布。",
	"label": "标签",
	"labels": "标签",
	"LASSO": "LASSO",
	"LASSO-description": "拟合一个回归模型，其中非零的回归系数使用L1正则化惩罚。LASSO执行自动模型选择，因为它会将一些变量的回归系数缩小为零。",
	"latitude": "纬度：",
	"leave-note": "请注意",
	"Line Plot": "线路图",
	"Line Plot-description": "线图可以用来显示一个定量变量或两个定量变量之间的关系，用数字线表示。如果没有提供X轴的变量，则根据数据表中的指数显示Y轴变量的值。",
	"linkage": "联动性",
	"ln-tooltip": "`ln( x )：`自然对数。",
	"location-encoding": "位置编码",
	"locations": "地点：",
	"Logistic Regression": "Logistic回归",
	"longitude": "经度：",
	"lower": "较低",
	"Map": "地图",
	"Map-description": "使用经纬度或国家/州名称在地图上显示地理空间信息。",
	"max": "最大",
	"Max": "最大",
	"max-tooltip": "`max( a, b, ... )`。a, b, ...中最大的一个。",
	"maximum-tree-depth": "最大树深",
	"mean": "平均值",
	"Mean": "平均值",
	"mean-tooltip": "`mean( a, b, ... )`。a, b, ...的平均值。",
	"median": "中位数",
	"Median": "中位数",
	"method": "方法",
	"min": "最小值",
	"Min": "最小值",
	"min-obs-leafs": "叶子节点的最小观测数",
	"min-tooltip": "`min( a, b, ... )`。a, b, ...中最小的一个。",
	"mode": "模式",
	"models": "型号",
	"more": "更多",
	"Mosaic Plot": "马赛克地块",
	"Mosaic Plot-description": "马赛克图可以用来显示两个或多个分类变量。图中方框的面积与所选变量的应急表的单元格频率成正比。",
	"Multiple Linear Regression": "多线性回归",
	"Multiple Linear Regression-description": "用一个或多个解释变量预测一个定量的反应变量。",
	"multiplication": "乘法",
	"Naive Bayes": "天真贝叶斯",
	"name-new-variable": "新变量的名称",
	"new": "新产品",
	"new-variable-appended": "新的变量将作为一个新的列附加到数据表中。",
	"no-plots-yet": "还没有任何剧情被创造出来... ...",
	"Normal-description": "正态分布是一种连续的概率分布，有一个平均值和一个标准差。它有一个钟形的曲线，是最常用于连续变量的分布。",
	"not": "不",
	"number-of-clusters": "群组数量",
	"number-of-groups": "组别数量",
	"number-of-observations": "观察数",
	"number-of-observations-tooltip": "产生一个自定义的观察值数量（从索引0开始）。",
	"number-of-trees": "树木数量",
	"old": "旧",
	"omit-missing": "省略缺失的数值",
	"omit-missing-tooltip": "如果不打勾，如果变量包含缺失的值，结果将为空。",
	"One-Sample Mean Test": "单样本平均测试",
	"One-Sample Mean Test-description": "量化变量平均值的检验。",
	"One-Sample Proportion Test": "单样本比例测试",
	"One-Sample Proportion Test-description": "检验定性变量中某一类别所占比例。",
	"One-Way ANOVA": "单因素方差分析",
	"One-Way ANOVA-description": "对几组的均值相等进行单因素分析检验。",
	"open-parenthesis": "开括号",
	"open-shared-plots": "开放的共享地块",
	"optional-second-variable": "第二变量（可选）：",
	"or": "或",
	"order-direction": "订单方向。",
	"order-outer-groups": "顺序外组",
	"order-x-axis": "订购X轴",
	"orientation": "方向：",
	"other-location-measures": "其他位置措施",
	"others-actions": "其他人的行为",
	"outcome-y": "结果（Y）。",
	"output": "产量",
	"output-model": "模型输出",
	"output-table": "表格输出",
	"output-test": "测试输出",
	"overlay-density-lines": "叠加密度线",
	"overlay-observations": "叠加观察？",
	"overlay-points": "叠加点？",
	"overlay-regression-line": "叠加回归线？",
	"own-actions": "自己的行动",
	"PCA": "主成分分析",
	"PCA-description": "将可能相关的变量观测值转换为线性不相关的主成分的算法。",
	"Pie Chart": "饼图",
	"Pie Chart-description": "分类数据的统计显示。饼中每个切片的弧长与相应类别的数量成正比。分类数据的另一种显示方式是条形图。",
	"pie-sizes-represent": "饼的大小代表。",
	"plot-shared": "地块共享。",
	"plot-shared-message": "你已经成功分享了你的情节。",
	"plots": "地块",
	"power-tooltip": "`power( base, exponent )`：基数提高到指数的幂。",
	"predictors-to-check": "# 每次分割时要检查的预测因子的数量",
	"predictors-x": "预测者（X）。",
	"proportion": "比例值",
	"proportions-add-one": "比例必须相加为一。",
	"QQ Plot": "QQ情节",
	"QQ Plot-description": "QQ（分位数-分位数）图允许人们将样本的分布与参考分布（通常是正态分布）进行比较。与图上45度参考线的偏差表示样本与参考分布的偏差程度。",
	"quantile": "量子化",
	"Quantile": "量子化",
	"quantiles": "分位数：",
	"quantiles-placeholder": "输入量子值来计算...",
	"quantiles-tooltip": "输入零和一之间的任何数字",
	"quantitative": "定量：",
	"questions": "疑问",
	"Random Forest": "随机森林",
	"range": "范围",
	"Range": "范围",
	"relationship-measures": "关系措施",
	"relative-frequencies-inside-each-group": "每组内的相对频率",
	"relative-frequency": "相对频率",
	"rename-or-combine": "重新命名或合并类别",
	"report": "报告",
	"report-relative-frequencies": "报告相对频率",
	"restore-dataset": "还原数据集",
	"restore-dataset-tooltip": "在数据表中使用给定的过滤器还原数据集。",
	"restore-original-dataset": "恢复原始数据集",
	"restore-original-dataset-tooltip": "恢复所有观测值的原始数据集",
	"round-tooltip": "`round( x )`:将一个数字四舍五入到最接近的整数。",
	"row-variable": "行变量。",
	"sample-from-columns": "从柱子上取样",
	"sample-with-replacement": "带替换的样本",
	"scale-values": "比例值（=除以标准差）？",
	"Scatterplot": "散点图",
	"Scatterplot Matrix": "散点图矩阵",
	"Scatterplot Matrix-description": "散点图矩阵是由散点图组成的网格，从一组选定的定量变量中直观地显示出任意两个变量之间的关系。",
	"Scatterplot-description": "散点图用于显示笛卡尔坐标系中两个定量变量的值。在本实施例中，还可以在图上显示三个附加变量。与每个观测值相对应的点的颜色和类型可以代表分类变量，并且可以选择一个定量变量来控制点的大小。在每个观测值有文字标识的情况下，可以将其作为标签显示在点旁。也可以叠加线性和/或平滑回归线。",
	"scope": "范围：",
	"score-threshold-for-split": "分割的得分阈值",
	"second-variable": "第二个变量：",
	"second-variable-statistic-tooltip": "用于计算二元统计的第二个变量",
	"select-grouping-or-second-variable": "请选择一个分组变量或第二个变量与{{var}}进行比较。",
	"select-name": "请输入一个名字（没有空格或句号）...",
	"select-quantitative-categorical": "请选择哪些变量应作为定量变量，哪些变量应作为分类变量。",
	"select-row-and-column-variable": "你需要为应急表选择一个行和列变量",
	"select-variable-bin": "请选择一个变量，以斌...",
	"select-variables": "选择变量",
	"set-slice-sizes": "将切片大小设置为摘要变量的总和。",
	"shape-measures": "形状测量",
	"share": "分享",
	"show-boxplot": "显示平面图",
	"show-colors": "显示颜色",
	"show-dataset-info": "显示数据集信息",
	"show-example-guide": "显示示例指南",
	"show-land": "展示土地",
	"show-point-markers": "显示点标？",
	"show-regression-model": "显示回归模型",
	"show-toolbox": "显示工具箱",
	"show-tutorial": "显示教程",
	"significance-level": "显著性水平",
	"Simple Linear Regression": "简单线性回归",
	"Simple Linear Regression-description": "统计模型，它估计了一个给定的一个预测变量(X)的反应变量(Y)的最佳拟合线。该线由其截距(X=0时的Y值)和斜率(与X的单位增长相关的Y的增长)决定。",
	"size": "尺寸",
	"skewness": "倾斜度",
	"Skewness": "偏度",
	"smaller-or-equal": "小于或等于",
	"smaller-than": "小于",
	"smoothing-parameter": "平滑参数",
	"specify-parameters": "指定参数",
	"specify-parameters-tooltip": "手动指定所选分布的参数，而不是从数据中估计它们。",
	"split-by": "分别为",
	"sqrt-tooltip": "`sqrt( x )`。平方根。",
	"stack-bars": "叠杆",
	"Standard Deviation": "标准偏差",
	"standard-deviation": "标准偏差",
	"start": "开始",
	"statistics": "统计数据",
	"statistics-tooltip": "为感兴趣的变量计算一个或多个统计数字。",
	"stdev-tooltip": "`stdev( a, b, ...)`。a, b, ...的标准偏差。",
	"submit": "提交",
	"subtraction": "减法",
	"success": "成功案例",
	"sum-tooltip": "`sum( a, b, ... )`。a, b, ...的总和。",
	"summary-function": "摘要功能：",
	"summary-statistics": "统计摘要",
	"T-description": "t分布是一个连续的概率分布，有一个参数，即自由度的数量。",
	"tables": "表格",
	"tests": "测试",
	"Third Quartile": "第三四分之一",
	"third-quartile": "第三四分位数",
	"toggle-fullscreen": "切换全屏",
	"toolbox": "工具箱",
	"total-percentages": "总百分比",
	"transform": "转变",
	"transformation": "转型",
	"treat-as-categorical": "作为分类处理",
	"treat-as-quantitative": "作为定量处理",
	"treat-labels-as-numbers": "将类别标签视为数字（所有新标签都需要是数字）。",
	"treat-labels-as-numbers-tooltip": "如果所有类别的新值都是数值，您可以勾选此框来创建一个定量变量，而不是一个分类变量。",
	"Tukey HSD Test": "Tukey HSD测试",
	"Tukey HSD Test-description": "Tukey's honestly significant difference (HSD)检验是一种事后检验，用于单程方差分析（ANOVA）中均值的配对比较。",
	"Two-Sample Mean Test": "两个样本平均测试",
	"Two-Sample Mean Test-description": "检验两组之间的均值是否相等。",
	"Two-Sample Proportion Test": "两个样本比例测试",
	"Two-Sample Proportion Test-description": "检验两组定性变量中某一类别的比例是否相等。",
	"type": "种类",
	"type-of-test": "测试类型：",
	"Uniform-description": "均匀分布是一个连续的概率分布，对于分布的下限和上限（即它的两个参数）之间的任何数值都具有相同的密度。",
	"unshare": "取消分享",
	"upper": "上层",
	"value": "价值",
	"variable": "可变。",
	"variable-created": "创建的变量",
	"variable-created-msg": "名称为{{name}}的变量已成功生成。",
	"variable-exists": "变量存在",
	"variable-exists-msg": "数据集的原始变量不能被覆盖。",
	"variable-removed": "删除的变量",
	"variable-removed-msg": "成功删除了名为{{variable}}的变量。",
	"variable-s": "可变因素：",
	"variable-to-bin": "变量到斌。",
	"variables": "变量：",
	"variables-created": "创建的变量",
	"variables-created-msg": "名称为{{name}} 的变量已成功生成。",
	"variables-invalid-alert": "<1>定量</1>或<3>分类</3>数据数组包含<5>data</5>对象中不存在的变量名称。",
	"variables-statistics-tooltip": "计算统计数字的数量变量",
	"variance": "差异",
	"Variance": "差异",
	"variation-measures": "变化措施",
	"vs": "与",
	"x-axis": "x轴：",
	"x-axis-variable": "x轴上的变量。",
	"y-axis": "y轴：",
	"y-axis-variable": "y轴上的变量。"
}