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                ThinkChat2.0新版上線,更智能更精彩,支持會話、畫圖、視頻、閱讀、搜索等,送10W Token,即刻開啟你的AI之旅 廣告
                # 創建可視化 原文鏈接 : [https://www.elastic.co/guide/en/kibana/5.2/createvis.html](https://www.elastic.co/guide/en/kibana/5.2/createvis.html) 譯文鏈接 : [http://www.apache.wiki/pages/viewpage.action?pageId=8159547](http://www.apache.wiki/pages/viewpage.action?pageId=8159547) 貢獻者 : [stealthsYang](/display/~yangqin),[那伊抹微笑](/display/~wangyangting),[ApacheCN](/display/~apachecn),[Apache中文網](/display/~apachechina) 為了創建可視化 :? ? 1.點擊側面導航的 **Visualize**(可視化)。 ? 2.選擇可視化類型 :? | [Area Charts(面積圖)](/pages/viewpage.action?pageId=8159603) | 可視化幾個不同組的總貢獻。 | | [Data Table(數據表)](/pages/viewpage.action?pageId=8159673) | 顯示組合聚合的原始數據。 | | [Line Charts(折線圖)](/pages/viewpage.action?pageId=9404639) | 比較不同的組。 | | [Markdown Widget(小部件)](/pages/viewpage.action?pageId=9404642) | 顯示自由格式信息或說明。 | | [Metric(度量)](/pages/viewpage.action?pageId=9404646) | 顯示單個數字。 | | [Pie Charts(餅圖)](/pages/viewpage.action?pageId=8160289) | 顯示每個資源相對全部的貢獻。 | | [Pie Charts(餅圖)](/pages/viewpage.action?pageId=8160289) | 將單詞顯示為云,其中字的大小對應于其重要性。 | | [Tile Maps(平鋪地圖)](/pages/viewpage.action?pageId=8160309) | 將聚合的結果與地理位置相關聯。 | | Timeseries | 計算和組合來自多個時間序列數據集的數據。 | | [Vertical Bar Charts(垂直條形圖)](/pages/viewpage.action?pageId=8159769) | 在條形圖中繪制圖形值。 | ? 3.指定搜索查詢以檢索可視化的數據 :? * 要輸入新的搜索條件,請選擇包含要顯示數據的索引的索引模式。這將打開具有匹配所選索引中的所有文檔的通配符查詢的可視化構建器。 * 要從保存的搜索構建可視化,請單擊要使用的已保存搜索的名稱。這將打開可視化構建器并加載所選查詢。 注意 : 從保存的搜索構建可視化文件時,對保存的搜索的任何后續修改將自動反映在可視化中。要禁用自動更新,您可以斷開可視化與保存的搜索。 ? 4.在可視化構建器中,為可視化的 **Y?**軸選擇度量聚合 :? * [count](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-metrics-valuecount-aggregation.html) * [average](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-metrics-avg-aggregation.html) * [sum](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-metrics-sum-aggregation.html) * [min](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-metrics-min-aggregation.html) * [max](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-metrics-max-aggregation.html) * [unique count](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-metrics-cardinality-aggregation.html) * [median](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-metrics-percentile-aggregation.html)(50th percentile) * [percentiles](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-metrics-percentile-aggregation.html) * [percentile ranks](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-metrics-percentile-rank-aggregation.html) ? 5.對于可視化X軸,選擇一個存儲桶聚合 :? * [date histogram](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-bucket-datehistogram-aggregation.html) * [range](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-bucket-range-aggregation.html) * [terms](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-bucket-terms-aggregation.html) * [filters](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-bucket-filters-aggregation.html) * [significant terms](https://www.elastic.co/guide/en/elasticsearch/reference/5.2/search-aggregations-bucket-significantterms-aggregation.html) 例如,如果您正在索引 **Apache?**服務器日志,則可以創建條形圖,通過在?`**geo.src**?`字段中指定 **terms**(詞條)聚合來顯示通過地理位置分配的傳入請求 :? ![](/download/attachments/8159547/bar-terms-agg.jpg?version=1&modificationDate=1488358282000&api=v2) 上面圖表中 **Y** 軸表示的不同的國家,**X** 軸顯示的是對應的國家. 條形、線形或面積圖表的可視化使用 **Y?**軸的度量和 **X?**軸的桶。桶的存儲類似于 **sql group by**。餅圖,運用 **slice size**(切片大小)的度量和切片大小數量的 **bucket**(桶)。 您可以通過指定子聚合來進一步分解數據。第一個聚合確定任何后續聚合的數據集。子聚合按順序應用 - 您可以拖動聚合以更改其應用順序。 例如,您可以在?`**geo.dest**?`字段上添加 **terms**(詞條)子聚合到原始國家條形圖,以查看這些請求所針對的位置。 ![](/download/attachments/8159547/bar-terms-subagg.jpg?version=1&modificationDate=1488360750000&api=v2) 有關使用子聚合的更多信息,請參閱?[Kibana, Aggregation Execution Order, and You](https://www.elastic.co/blog/kibana-aggregation-execution-order-and-you)。
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