Tableau Desktop and Web Authoring (pro)

• 動態色彩範圍: 使用動態色彩範圍，可以將色彩範圍連結到參數值，從而讓您能夠更有效地視覺化資料趨勢。透過使用參數動作，可以根據選取或標記暫留動態更新色彩範圍，並且可以將色彩範圍的起點、中心點和終點連結到參數。這不僅允許自訂，還有助於忽略可能會扭曲色彩調色盤的極端值資料。還可以在儀表板上的視覺效果之間同步範圍值，從而更快地取得見解。
• 設定儀表板物件格式: Format dashboard objects with padding, borders, background shading, and rounded corners.
• 地圖檢視區參數: Use map viewport parameters to dynamically control the visible area of a map.
• 使用加速器快速視覺化資料: Deploy pre-built Accelerator dashboard templates by mapping your own data sources to the existing structure.
• 為 Tableau Exchange 建立加速器: Guidelines for managed Salesforce partners to build and publish dashboard templates for the Tableau Exchange.
• Tableau 在 Web 上的鍵盤協助工具: Reference of keyboard shortcuts and WAI-ARIA navigation patterns for interacting with web-rendered Tableau views.
• 設計無障礙檢視的最佳做法: Design guidelines for building WCAG 2.2 AA-compliant Tableau views using color, titles, captions, and layout.
• 製作無障礙檢視: Author and publish WCAG-compliant accessible views in Tableau Desktop, including descriptive alt text and titles.
• 建立協助工具的儀表板窗格: Build WCAG 2.2 AA-compliant dashboards with keyboard navigation, focus order, and accessible formatting.
• 組建無障礙資料檢視: Requirements and features for building WCAG 2.2 AA and Section 508 accessible data views in Tableau.
• 動作: Add interactivity with filter, highlight, URL, parameter, and set actions that respond to user selections.
• 動作和儀表板: Configure dashboard actions to filter views, navigate sheets, and embed web pages from user interactions.
• 在動作名稱中使用欄位和篩選器值: Insert field, parameter, and filter values as variables in Tableau action names for context-aware menus.
• 篩選器動作: Configure filter actions to pass data values from a source sheet to related target sheets.
• 反白顯示動作: Use highlight actions to call attention to related marks by coloring them and dimming all others.
• 建立進階反白顯示動作: Create advanced highlight actions specifying source sheets, target sheets, and matching fields.
• 圖例反白顯示: Turn on legend highlighting to emphasize marks tied to a color legend item and dim the rest.
• 在上下文中反白顯示資料點: Use the highlighter to interactively search and emphasize specific marks while keeping view context.
• 反白顯示工具列按鈕: Use the toolbar highlight button to emphasize related marks across a view by selected fields.
• 參數動作: Configure parameter actions so users change parameter values by selecting marks in a viz.
• 執行動作: Choose how users trigger actions in Tableau using Hover, Select, or Menu interaction methods.
• 集合動作: Create set actions to enable users to interact directly with a viz or dashboard to control aspects of their analysis.
• URL 動作: Configure URL actions to open web pages, files, emails, or other web-based resourcesm from a dashboard.
• 新增詳細資料: Use the Marks card to encode data with color, size, shape, and text to add detail to a view.
• 設定 Amazon Athena IAM OAuth: Set up OAuth 2.0/OIDC identity federation from an external IdP to Amazon Athena for Tableau.
• Analytics 操作指南: Overview of how-to topics for building industry-standard analytical benchmarks and visualization types in Tableau.
• 分析資料: Overview of advanced analysis techniques in Tableau, from calculated fields to clustering and inspection.
• 新增註解: Add, edit, and format annotations to call out specific marks, points, or areas in a visualization.
• 顯示、隱藏和格式化標記標籤: Show, hide, and format mark labels to display field values directly on marks in a viz.
• 使用「資料問答」(Ask Data)自動組建檢視: 「資料問答」與「指標」的重要變更
• 為網站停用或啟用「資料問答」(Ask Data): 「資料問答」與「指標」的重要變更
• 建立聚焦於特定受眾的濾鏡: 「資料問答」與「指標」的重要變更
• 最佳化「資料問答」(Ask Data)資料: 「資料問答」與「指標」的重要變更
• 受支援的「資料問答」(Ask Data) 分析功能: 「資料問答」與「指標」的重要變更
• 內嵌和儲存「資料問答」(Ask Data) 的視覺效果: 「資料問答」與「指標」的重要變更
• 新增資料問答 (Ask Data) 的同義字: 「資料問答」與「指標」的重要變更
• 開啟或關閉產品更新: Turn Tableau Desktop product updates off or on, or control maintenance updates as an administrator.
• 自動儲存工作簿: Understand how Autosave preserves edits to a private draft workbook as you work in Tableau Cloud.
• 連線到資料: Connect Tableau to data stored in files, databases, cubes, or cloud sources before building views.
• 直觀顯示班佛定律: Visualize Benford's Law in Tableau using calculated fields to detect anomalies in leading digits.
• 在您的檢視中使用背景影像: Add background images beneath your data to give marks in a view spatial context.
• 尋找背景影像座標: Plot data points on a background image by creating an X/Y coordinate table and joining it to your data.
• 新增 Google 地圖和 OpenStreetMap 影像作為 Tableau 中的背景影像: Add Google Maps or OpenStreetMap images as static backgrounds and plot data using coordinates.
• 書店資料集: Download the Bookshop sample dataset and data dictionary to learn about relationships in Tableau Desktop.
• 使用 [顯示] 啟動檢視: Use Show Me to automatically create a chart type from the fields you select in the Data pane.
• 組建橫條圖: Build a bar chart to compare data across categories using dimensions and measures on shelves.
• 生成盒形圖: Build a box-and-whisker plot to show the distribution of values across quartiles.
• 組建填補氣泡圖: Build a packed bubble chart to show dimensions as circles sized and colored by measures.
• 使用密度標記（熱度圖）組建: Build a density mark heatmap to reveal patterns in dense, overlapping data points.
• 生成甘特圖: Build a Gantt chart to show the duration of events or activities over time.
• 組建突出顯示表或熱度圖: Build a highlight table or heat map to compare categorical data using color and cell size.
• 組建長條圖: Build a histogram to display the distribution of a continuous measure grouped into bins.
• 組建折線圖: Build a line chart to visualize a sequence of values and trends over time.
• Tableau 地圖入門指南: Get started mapping in Tableau by connecting, joining, and formatting geographic data into a map view.
• 產生圓形圖: Build a pie chart to show proportions of a whole using a small number of slices.
• 產生散點圖: Build a scatter plot to visualize relationships between numerical measures.
• 組建文字表: Build a text table (cross-tab) by placing dimensions on shelves and a measure on Text.
• 組建樹狀圖: Build a treemap to display data as nested rectangles sized and colored by measures.
• 從頭開始組建資料檢視: Solves how to build custom data visualizations and charts from scratch by dragging data fields into Tableau views.
• 透過將欄位拖到檢視中來開始組建視覺效果: Start building a visualization by dragging dimension and measure fields onto Rows, Columns, and Marks.
• 多維階層: Understand how multidimensional (cube) data sources expose hierarchies, supported only on Windows.
• 在多維資料集資料來源分層結構中下鑽和上鑽: Drill up and down through cube data source hierarchies to navigate levels of detail.
• 完善的資料透視: Understand perfect pivoting to work with cube hierarchy levels across worksheet shelves.
• 定義唯一值: Understand how Tableau distinguishes duplicate member names in cube data sources by qualification.
• 公用程式維度: Set a utility dimension to model comparative cube values like Actual vs. Budgeted in Essbase.
• 架和卡參考: Reference of Tableau worksheet shelves and cards-Columns, Rows, Marks, Filters, Pages-and their roles.
• 將計算欄新增至檢視: Add a calculated column to modify existing data, such as combining names or finding percent change.
• 計算 Z 分數: Calculate z-scores in Tableau using calculated fields for mean and standard deviation.
• Tableau 中的資料彙總: Understand data aggregation in Tableau, change measure aggregations, and disaggregate data.
• 依據連續度量建立資料桶: Create bins from a continuous measure to group values.
• 使用計算建立自訂欄位: Create calculated fields to add new data to your source and save them for analysis.
• 臨機操作計算: Understand ad-hoc (in-line) calculations you create and update directly on a field in the view.
• Tableau 中的彙總函式: Reference of Tableau aggregate functions like AVG, COUNT, and CORR, with an example calculation.
• Tableau 中建立計算的最佳做法: Tips and guidelines for creating efficient calculations in Tableau to optimize workbook performance.
• 如何建立計算成員: Create calculated members in multidimensional data sources using MDX formulas.
• Tableau 中的計算入門: Get started creating and editing calculated fields in Tableau using the calculation editor.
• 範例 - 使用計算進行聚焦: Example of using a calculation to spotlight discrete thresholds, such as color-coding sales.
• 建立簡單的計算欄位: Create a simple calculated field, such as Profit Ratio, using a formula from existing fields.
• 詳細層級運算式: Create Level of Detail (LOD) expressions to compute values at INCLUDE, EXCLUDE, or FIXED granularity.
• 詳細層級運算式的資料來源約束: Understand data source constraints and version limits for Level of Detail expressions.
• EXCLUDE 詳細資料層級運算式: Use EXCLUDE LOD expressions to omit dimensions and compute at a coarser level of detail.
• 篩選條件和詳細層級運算式: Understand where Level of Detail expressions are evaluated in Tableau's order of filters.
• FIXED 詳細資料層級運算式: Use FIXED LOD expressions to compute values from specified dimensions, ignoring the view.
• INCLUDE 詳細層級運算式: Use INCLUDE LOD expressions to compute at a finer level and re-aggregate in the view.
• 概觀：詳細層級運算式: Understand how Level of Detail expressions are computed at row and view levels in Tableau.
• 使詳細資料層級運算式與檢視詳細資料層級一致: Understand how Tableau reconciles an LOD expression's granularity with the view level of detail.
• 表範圍詳細資料層級運算式: Understand table-scoped LOD expressions that compute across the whole table without scoping keywords.
• 關於在 Tableau 中使用計算欄位的提示: Tips for working efficiently in the Tableau calculation editor, including drag-and-drop and auto-complete.
• 瞭解 Tableau 中的計算: Understand why and when to use calculations to create new data in Tableau.
• 關於瞭解如何建立計算的提示: Tips for learning to build calculation formulas by clarifying your question and researching functions.
• Tableau 中的計算類型: Understand the three calculation types in Tableau: basic expressions, LOD expressions, and table calculations.
• 選擇正確的計算類型: Choose the right calculation type for your analysis among basic, LOD, and table calculations.
• 在 Tableau 中計算百分比: Calculate percentages in Tableau and choose among percentage options like Percent of Total.
• 使用表計算轉換值: Transform values with table calculations using addressing and partitioning across the view.
• 自訂表計算: Customize table calculations with the Compute Using dropdown and build nested table calculations.
• 表計算類型: Reference of table calculation types like Difference From, Moving, and Percent of Total.
• 快速表計算: Apply quick table calculations to a visualization using common default settings.
• 在視覺效果中顯示合計: Show grand totals and subtotals in a visualization and customize how they are calculated.
• 基數和參考完整性: Understand cardinality and referential integrity and how they affect Tableau data source performance.
• 使用參數使檢視更具交互性: Use parameters and calculated fields to let viewers interactively change what a view displays.
• 使用剪貼簿資料建立資料來源或新增新連線: Copy and paste data directly into Tableau to create a data source for quick analysis.
• 關閉資料來源: Understand how closing a data source disconnects Tableau without modifying the data.
• 在資料中尋找叢集: Find clusters in a view to partition similar marks using Tableau's cluster analysis.
• 使用參數和集建立同現視覺化: Create a co-occurrence visualization with a parameter and a set for market basket analysis.
• 組織集合中的項目: Organize related Tableau content into collections and manage collection permissions.
• 向檢視新增註解: Add comments on views and @mention other users to share data discoveries.
• Tableau 概念: Learn core Tableau concepts like dimensions, measures, data types, and aggregation.
• 設定適用於 SAP HANA 的外部 OAuth: Configure external OAuth 2.0/OIDC identity federation for SAP HANA in Tableau Cloud.
• 為 Impala 設定外部 OAuth: Configure external OAuth 2.0/OIDC identity federation for Impala in Tableau.
• 為 Snowflake 設定外部 OAuth：用戶端認證流程: Configure Azure AD OAuth and modern authentication for Azure and Microsoft connectors in Tableau Server.
• 使用 OAuth 配置 Proxy: Configure a forward proxy in Tableau Desktop and Server to enable OAuth authentication.
• 執行初始 SQL: Run an initial SQL command when connecting to a database, including parameters and deferred execution.
• 取代資料來源: Replace a workbook's data source in Tableau Desktop by remapping fields to a new source.
• 預存程序: Use a stored procedure to define a database connection in Tableau, with database-specific constraints.
• 自訂和調整連線: Customize and tune ODBC and JDBC connections using TDC and properties files.
• 自訂原生連接器的連線字串: Customize a native connector's connection string using a TDC file and odbc-connect-string-extras.
• 連接器驗證: Overview of authentication types supported by native and generic Tableau connectors.
• 在工作簿之間複製工作表和資料來源: Copy and paste or import sheets and data sources between workbooks in Tableau Desktop.
• 著作權: Tableau copyright, patent, and trademark notice from Salesforce, Inc.
• Creator：連線到 Web 上的資料: As a Creator, connect to published data sources and files on the web in Tableau Cloud or Server.
• Creator：在 Web 上準備資料: As a Creator, prepare data on the web using the Data Source page in Tableau Cloud or Server.
• 多維資料集資料來源: Understand cube (OLAP) data sources and which Tableau features differ when using them.
• 無法識別地圖位置: Geocode locations Tableau doesn't recognize by importing custom latitude and longitude data.
• 連線到自訂 SQL 查詢: Connect to a custom SQL query in Tableau, with examples, parameters, and performance notes.
• 使用自訂檢視: Create a custom view to save and share your modifications to a Tableau view and find custom views that others have saved.
• 使用自訂檢視維護內容: Avoid breaking custom views when editing workbooks or data sources.
• 使用 Tableau Agent 探索儀表板（測試版）: Create AI-generated dashboard narratives and insights with Tableau Agent (beta).
• 使用儀表板擴充程式: Add and configure dashboard extensions to expand dashboards with third-party web applications.
• 儀表板中的 Tableau Agent（測試版）: Create AI-generated dashboard narratives and insights with Tableau Agent (beta).
• 儀表板: Understand dashboards as collections of views that let you compare multiple data sources at once.
• 建立有效儀表板的最佳做法: Apply best practices for effective dashboards: know your purpose, audience, layout, and interactivity.
• 建立儀表板: Create a dashboard by combining sheets, adding objects, and setting interactivity.
• 針對不同裝置類型建立儀表板窗格配置: Create device-specific dashboard layouts optimized for phone, tablet, and desktop screens.
• 設定儀表板大小和版面配置: Size and lay out a dashboard using fixed sizing and floating or tiled layout containers.
• 精簡您的儀表板: Refine a dashboard by checking placement, label readability, sizing, and image display.
• 為儀表板建立工作表選取功能表: Create a sheet selection menu using a parameter and calculated field to swap views in a dashboard.
• 連線到資料並準備資料: Connect to data and set up the data source before beginning analysis in Tableau.
• 從 Tableau Cloud 或 Tableau Server 中傳送資料驅動型通知: Create and manage data-driven alerts that notify people when data crosses thresholds.
• 瞭解欄位類型偵測和命名改進之處: Understand how Tableau detects field types and improves field names automatically.
• 將欄位轉換為日期欄位: Convert a text or numeric field to a date using data type changes and the DATEPARSE function.
• 探索和檢查檢視中的資料: Explore and inspect data in a view using mark selection, tooltips, and analytics objects.
• 使用資料指南探索儀表板: Use Data Guide to add author descriptions and surface insights about a dashboard for users.
• 使用 Data Interpreter 清理 Excel、CSV、PDF 和 Google Sheets 中的資料: Use Data Interpreter to clean messy Excel, CSV, PDF, and Google Sheets data for analysis.
• 建立 Tableau 資料故事（僅限英文）: Feature retired.
• 設定 Tableau 資料故事：分析: Feature retired.
• 設定 Tableau 資料故事：特性: Feature retired.
• Tableau 資料故事的組態設定: Feature retired.
• 在儀表板中新增 Tableau Data Story: Feature retired.
• 自訂 Tableau 資料故事: Feature retired.
• 自訂 Tableau 資料故事：內容變數: Feature retired.
• 自訂 Tableau 資料故事：函數: Feature retired.
• 自訂您的 Tableau 資料故事：隱藏和重新排序內容: Feature retired.
• 設定 Tableau 資料故事設定：顯示: Feature retired.
• 設定 Tableau 資料故事：驅動因素: Feature retired.
• 為您的 Tableau 資料故事新增更多資料: Feature retired.
• 設定 Tableau 資料故事設定：記述: Feature retired.
• 重新整理 Tableau 資料故事中的參數: Feature retired.
• 在儀表板中新增 -Tableau 資料故事: Feature retired.
• 在 Tableau Data Story 中建立自訂度量關係: Feature retired.
• 設定 Tableau 資料故事設定：關係: Feature retired.
• 為 Tableau 資料故事選擇正確的故事類型: Feature retired.
• 在 Tableau 資料故事中使用表計算: Feature retired.
• 為分析構建資料: Understand how data structure-rows, fields, and granularity-affects analysis in Tableau.
• 使用資料的提示: Tips for formatting data for analysis, like pivoting crosstabs and removing blank cells.
• 在「資料」窗格中組織和自訂欄位: Organize and customize fields in the Data pane using folders, sorting, and search.
• 編輯欄位的預設設定: Edit default field settings like aggregation, number format, color, shape, and sort order.
• 在檢視中建立別名以重新命名成員: Create aliases to rename dimension members so they display differently in the view.
• 處理 Null 值和其他特殊值: Handle null and other special values that Tableau cannot plot, using the special values indicator.
• 維度和度量（藍色和綠色）: Understand dimensions and measures, and the blue (discrete) versus green (continuous) field roles.
• 將量值轉換為維度: Convert a measure to a dimension in the view or across the workbook in the Data pane.
• 在離散和連續之間轉換欄位: Convert measures and date fields between discrete and continuous in Tableau.
• 資料類型: Understand and change field data types like integer, date, and string in Tableau.
• 使用「資料」窗格中的資料欄位: Work with the Data pane, including auto-created fields like Measure Names and generated Latitude.
• 度量值與度量名稱: Understand Measure Values and Measure Names fields for building views with multiple measures.
• Tableau 資料模型: Understand the Tableau data model's logical and physical layers and build single- or multi-table models.
• 關係、資料模型和資料來源的相關問題: Answers to common questions about relationships, the data model, and data sources in Tableau.
• 資料來源和分析的更新功能: Understand what changed in data sources with the logical layer and relationships in Tableau 2020.2.
• 善加運用關係: Get comfortable with relationships that combine tables without flattening them into one table.
• 善加運用計算關係: Understand how calculations work in data sources that use relationships and table-level detail.
• 善加運用更深入的關係: Understand deeper relationship concepts like field domains and the meaning of nulls.
• 可組合資料來源: Compose and extend published data sources to combine and republish them without altering originals.
• 建置多事實關係資料模型: Build a multi-fact relationship data model using multiple base tables connected by shared tables.
• 關於多事實關係資料模型: Understand multi-fact relationship data models that use multiple base tables and relatedness levels.
• 瞭解多事實關係資料模型的工具提示: Interpret field relatedness tooltips in multi-fact relationship data models.
• 何時使用多重要素關係模型: Understand when to use a multi-fact relationship model to combine unrelated tables by context.
• 使用關係的資料來源的分析方式: Understand how analysis works in data sources that use relationships across multiple tables.
• 使用關係進行多資料表資料分析: Use relationships to combine multiple tables for analysis without flattening them.
• 規劃資料來源: Plan a data source and choose how to combine data using relationships, joins, blends, or unions.
• 設定資料來源: Set up a data source on the Data Source page to prepare your data for analysis.
• 使用已認證資料來源: Use trusted data by connecting to a certified data source published to Tableau Server or Tableau Cloud.
• 關係與聯結的不同之處: Understand how relationships differ from joins and when each is appropriate.
• 使用效能選項最佳化關係查詢: Optimize relationship queries using cardinality and referential integrity performance options.
• 在資料檢視中組建常用圖表類型: Work through exercises to build common chart types using the Sample - Superstore data.
• 日期屬性: Set date properties for a data source, including calendar, week start, and fiscal year start.
• 日期和時間: Understand how Tableau handles dates and times in relational versus cube data sources.
• ISO-8601 以週為基準的日曆: Use the ISO-8601 week-based calendar in Tableau and build a 4-4-5 fiscal calendar.
• 連續日期: Understand continuous dates that create an axis, versus discrete date parts that create labels.
• 自訂日期: Create custom dates using DATEPART or DATETRUNC to work at a specific date level.
• 自訂日期格式: Format date fields in a view using custom date format symbols, including Japanese era formats.
• 在自訂日期格式中使用以週為基準的預留位置: Use ISO-8601 week and year placeholders in custom date formats for supported locales.
• 會計日期: Display dates using fiscal-year equivalents by setting a fiscal year start month on the data source.
• 變更日期層級: Change the date level of a field-such as year, quarter, or month-on shelves in a view.
• 完善日期樞紐分析: Perfect pivot dates by placing different date levels on separate shelves at once.
• Tableau Desktop 和 Web 製作說明: Landing page for Tableau Desktop and web authoring help.
• 設計檢視和分析資料: Overview of resources for 2building views, dashboards, and stories to analyze data in Tableau Desktop.
• Tableau Desktop Public Edition、Free Edition 和 Professional Edition 功能比較: Compare Tableau Desktop Public, Free, and Professional editions to choose the right one.
• 使用 Tableau Agent 建置檢視並探索資料: Build views and explore data using the generative AI Tableau Agent in Tableau Desktop.
• 使用動態軸範圍: Use dynamic axis ranges to update a view's axis based on a parameter or user selection.
• 使用動態軸標題: Use dynamic axis titles that update based on a parameter or field to communicate units accurately.
• 使用動態區域可見性: Use Dynamic Zone Visibility to show or hide dashboard zones based on a field or parameter value.
• 編輯已發佈資料來源: Edit, test, and roll back changes to a published data source without disrupting workbooks.
• 使用 Einstein Discovery 儀表板擴充功能探索 Tableau 中的預測: Surface real-time Einstein Discovery predictions in dashboards with the dashboard extension.
• 將 Einstein Discovery 預測整合到 Tableau 中: Integrate Einstein Discovery predictions into Tableau views via calculated fields and extensions.
• 將檢視內嵌網頁: Copy the embed code to embed Tableau views into webpages.
• 為檢視編寫內嵌程式碼: Tableau Server 2022
• 為自訂檢視內嵌代碼: Tableau Server 2022
• 內嵌儀表板: Tableau Server 2022
• Tableau Server 檢視的內嵌影像: Embed a non-interactive image of a Tableau Server view into a webpage.
• 將 Tableau 檢視內嵌至 Salesforce 中: Embed Tableau views into Salesforce Lightning pages with the Tableau View web component.
• 將檢視內嵌 Wiki: Embed a Tableau view into a wiki page using an iframe tag.
• 新增篩選器以為檢視內嵌程式碼: Tableau Server 2022
• 內嵌檢視和指標: 淘汰舊版指標功能
• 為檢視內嵌程式碼參數: Tableau Server 2022
• 控制多個內嵌檢視的載入順序: Tableau Server 2022
• 將指標內嵌至網頁（已淘汰）: Embed legacy metrics into webpages. This retired feature was replaced by Tableau Pulse.
• 如何組建檢視 URL: Understand how view URLs are structured on Tableau Cloud and Tableau Server.
• Tableau 檔案類型和資料夾: Understand Tableau file types-workbooks, extracts, and bookmarks-and change the repository location.
• 瀏覽 Tableau 環境: Tour the Tableau Desktop environment, including panes, shelves, and workspace elements.
• 工作簿和工作表: Understand the Tableau workbook and sheet structure of worksheets, dashboards, and stories.
• 管理儀表板窗格和本文中的工作表: Hide, show, and navigate sheets to manage workbooks and design dashboards.
• 巡覽和組織工作表: Navigate and organize workbook sheets using tabs, the filmstrip, and the sheet sorter.
• 建立或開啟工作簿: Create, open, and manage Tableau workbooks, including published workbooks.
• [分析] 窗格: Use the Analytics pane to add reference lines, trend lines, forecasts, and box plots to a view.
• 重新組織工作區: Reorganize the Tableau workspace by rearranging cards and using Presentation Mode.
• 「資料來源」頁面: Understand the Data Source page areas: left pane, canvas, data grid, and metadata grid.
• 開始頁面: Understand the Tableau Desktop start page: Connect, Open, and Discover panes.
• Tableau 工作區: Reference of the Tableau workspace: menus, toolbar, Data pane, cards, shelves, and sheets.
• 使用 Tableau 提供的連接器: Overview of supported Tableau connectors listed in the order they appear on the Connect pane.
• Microsoft Access: Connect Tableau to a Microsoft Access database file and set up the data source.
• Alibaba AnalyticDB for MySQL: Connect Tableau to an Alibaba AnalyticDB for MySQL database and set up the data source.
• 阿里雲 Data Lake Analytics: Connect Tableau to Alibaba Data Lake Analytics and set up the data source.
• 阿里雲 MaxCompute: Connect Tableau to Alibaba MaxCompute and set up the data source.
• Amazon Athena: Connect Tableau to Amazon Athena data and set up the data source, including OAuth options.
• Amazon Aurora for MySQL: Connect Tableau to Amazon Aurora for MySQL and set up the data source.
• Amazon EMR Hadoop Hive: Connect Tableau to an Amazon EMR Hadoop Hive database and set up the data source.
• Amazon Redshift: Connect Tableau to an Amazon Redshift database and set up the data source, including OAuth.
• Amazon S3: Connect Tableau to the driverless Amazon S3 connector and set up the data source.
• Anaplan （已棄用）: Connect Tableau to Anaplan data and set up the data source (connector retiring July 2026).
• Apache Hive: Connect Tableau to open-source Apache Hive and set up the data source.
• Apache Impala: Connect Tableau to open-source Apache Impala and set up the data source.
• Apache Drill: Connect Tableau to Apache Drill data and set up the data source.
• Azure Data Lake Storage Gen2: Connect Tableau to Azure Data Lake Storage Gen2 using OAuth and set up the data source.
• Azure SQL 資料庫: Connect Tableau to Azure SQL Database and set up the data source.
• Azure SQL Synapse Analytics: Connect Tableau to Azure Synapse Analytics (formerly SQL Data Warehouse) and set up the data source.
• Box: Connect Tableau to Box data and set up the data source.
• TIBCO 資料虛擬化: Connect Tableau to a TIBCO Data Virtualization (formerly Cisco Information Server) database.
• 使用 Tableau Connector SDK 組建的連線器: Use and install connectors built with the Tableau Connector SDK from the Tableau Exchange.
• Salesforce Data 360: Connect Tableau to Salesforce Data 360 (formerly Data Cloud) and set up the data source.
• Databricks: Connect Tableau to a Databricks database and set up the data source.
• IBM DB2: 本文介紹如何將 Tableau 連線到 IBM DB2 資料庫並設定資料來源。您也可以使用此連接器來連線到 IBM DB2 for z/OS 資料庫。請參閱技術規格來確認支援哪些 DB2 資料庫。
• Denodo（已棄用）: Connect Tableau to Denodo and set up the data source (connector deprecated).
• Dremio的Dremio連接器: Connect Tableau to a Dremio data lake and set up the data source.
• Dropbox: Connect Tableau to Dropbox data and set up the data source.
• Oracle Eloqua: Connect Tableau to Oracle Eloqua and set up the data source.
• Esri 連接器: Connect Tableau to an Esri ArcGIS Server or ArcGIS Online and set up the data source.
• Oracle Essbase: Connect Tableau to an Oracle Essbase database, set up the data source, and build views.
• Exasol: Connect Tableau to data in the Exasol platform and set up the data source.
• Excel: Connect Tableau to Microsoft Excel file data and set up the data source.
• 其他檔案: Connect Tableau to other supported file types, including data extracts and workbooks.
• Firebird 3: Connect Tableau to a Firebird 3 database and set up the data source.
• Google Analytics (分析): Connect Tableau to Google Analytics (Universal Analytics) and set up the data source.
• Google Analytics (分析) 4: Connect Tableau to Google Analytics 4 and set up the data source.
• Google BigQuery: Connect Tableau to Google BigQuery and set up the data source with OAuth.
• Google BigQuery JDBC: Connect Tableau Desktop and Tableau Cloud to Google BigQuery using the JDBC connector.
• Google Cloud SQL: Connect Tableau to a Google Cloud SQL database instance and set up the data source.
• Google 雲端硬碟: Connect Tableau to Google Drive and set up the data source.
• Google 試算表（已棄用）: 重要提示：Google 試算表連接器已於 2023 年中期完全棄用。
• Pivotal Greenplum Database: Connect Tableau to a Pivotal Greenplum Database and set up the data source.
• Cloudera Hadoop: Connect Tableau to a Cloudera Hadoop database and set up the data source.
• Impala: Connect Tableau to an Impala database and set up the data source.
• IBM Informix: Connect Tableau to an IBM Informix database and set up the data source.
• Jira: Connect Tableau to Jira and set up the data source.
• JSON 檔案: Connect Tableau to a local JSON file, select schema levels, and set up the data source.
• Kognitio（已棄用）: Connect Tableau to a Kognitio database and set up the data source (connector deprecated).
• Kyvos: Connect Tableau to a Kyvos database and set up the data source.
• LinkedIn Sales Navigator（已棄用）: Connect Tableau to LinkedIn Sales Navigator and set up the data source (connector retiring).
• MariaDB: Connect Tableau to a MariaDB database and set up the data source.
• Marketo: Connect Tableau to Marketo and set up the data source.
• MarkLogic: Connect Tableau to a MarkLogic database and set up the data source.
• Marketing Cloud Intelligence: Connect Tableau to Marketing Cloud Intelligence (formerly Datorama) and set up the data source.
• SingleStore: Connect Tableau to a SingleStore (formerly MemSQL) database and set up the data source.
• MonetDB: Connect Tableau to a MonetDB database and set up the data source.
• MongoDB BI 連接器（已棄用）: Connect Tableau to MongoDB BI data and set up the data source (connector deprecated).
• Microsoft Fabric: Connect Tableau to Microsoft Fabric using the Azure SQL Database connector or Power BI.
• Microsoft Analysis Services: Connect Tableau to a Microsoft Analysis Services database and set up the data source.
• MySQL 連線器 - Tableau: Connect Tableau to a MySQL database and set up the data source.
• IBM Netezza Performance Server: Connect Tableau to an IBM Netezza Performance Server database and set up the data source.
• OData: Connect Tableau to an OData data source (V1, V2, and V4).
• OneDrive 和 SharePoint Online: Connect Tableau to OneDrive and SharePoint Online document libraries and set up the data source.
• Oracle: Connect Tableau to an Oracle database and set up the data source.
• Oracle Netsuite: Connect Tableau to Oracle NetSuite and set up the data source.
• 其他資料庫 (ODBC): Connect Tableau to other databases using a generic ODBC connection.
• 其他資料庫 (JDBC): Connect Tableau to other databases using a generic JDBC connection.
• PDF 檔案: Connect Tableau to .pdf file data, scan for tables, and set up the data source.
• PostgreSQL 連線器 - Tableau: Connect Tableau to a PostgreSQL database and set up the data source.
• Presto: Connect Tableau to a Presto database and set up the data source.
• Progress OpenEdge: Connect Tableau to a Progress OpenEdge database and set up the data source.
• Qubole Presto: Connect Tableau to Qubole Presto and set up the data source.
• Intuit QuickBooks Online（已淘汰）: Connect Tableau to Intuit QuickBooks Online data and set up the data source (connector retired).
• Salesforce CRM: Connect Tableau to Salesforce.com CRM data using OAuth and set up the data source.
• Salesforce Marketing Cloud: Connect Tableau to Salesforce Marketing Cloud and configure the instance for API connections.
• SAP NetWeaver Business Warehouse: Connect Tableau to SAP NetWeaver Business Warehouse (BW) data and set up the data source.
• SAP HANA: Connect Tableau to an SAP HANA database and set up the data source.
• SAP SuccessFactors: Connect Tableau to the SAP SuccessFactors application and set up the data source.
• ServiceNow ITSM: Connect Tableau to ServiceNow ITSM data and set up the data source (connector retired).
• ServiceNow: Connect Tableau to the ServiceNow JDBC connector and set up the data source.
• SharePoint 清單: Connect Tableau to SharePoint Lists and set up the data source (connector deprecated).
• SharePoint 清單 (JDBC): Connect Tableau to the SharePoint Lists (JDBC) driver and set up the data source.
• Snowflake: Connect Tableau to a Snowflake data warehouse and set up the data source.
• Spark SQL: Connect Tableau to a Spark SQL database and set up the data source.
• 空間檔案: Connect Tableau to spatial files such as Shapefiles, KML, GeoJSON, and Esri File Geodatabases.
• Splunk: Connect Tableau to Splunk data using the ODBC connector and set up the data source.
• Splunk JDBC: Connect Tableau to Splunk data using the JDBC connector and set up the data source.
• Microsoft SQL Server: Connect Tableau to a Microsoft SQL Server database and set up the data source.
• 統計檔案: Connect Tableau to a statistical file (SAS, SPSS, R) and set up the data source.
• SAP Sybase ASE: Connect Tableau to an SAP Sybase ASE database and set up the data source.
• SAP Sybase IQ: Connect Tableau to an SAP Sybase IQ database and set up the data source.
• Tableau Semantics: Connect Tableau to Tableau Semantics models in Data 360 and set up the data source.
• 使用 Tableau Server 或 Tableau Cloud 連線至資料: Connect to published data sources by signing in to Tableau Server or Tableau Cloud.
• Teradata: Connect Tableau to a Teradata database or Unity server and set up the data source.
• Teradata OLAP 連線: Establish a Teradata OLAP connection in Tableau and set up the data source.
• 文字檔: Connect Tableau to delimited text file data and set up the data source.
• Actian Vector: Connect Tableau to an Actian Vector database and set up the data source.
• Vertica: Connect Tableau to a Vertica database and set up the data source.
• 使用 Web Data Connector 3.0 SDK 建立的連接器: Use and build connectors with the Web Data Connector 3.0 SDK for web data and APIs.
• Web 資料連接器 2.0: Connect Tableau to a Web Data Connector 2.0 (deprecated) and set up the data source.
• 透過資料詮釋加速發現洞察力: Use Explain Data to inspect marks and uncover outliers and correlations in a viz.
• 開始使用資料詮釋: Get started running Explain Data on a dashboard, sheet, or mark.
• 控制資料詮釋的存取: Control who can access Explain Data and which explanation types and fields appear.
• 停用或啟用站點的「資料詮釋」: Disable or enable Explain Data availability for a Tableau site.
• 資料詮釋如何運作: Understand how Explain Data analyzes marks and evaluates statistical explanations.
• 「資料詮釋」中的詮釋類型: Understand the explanation types Explain Data generates for analyzed marks.
• 「資料詮釋」中的已分析欄位: View and change the fields Explain Data uses for its statistical analysis.
• 使用資料詮釋的要求和注意事項: Understand requirements and considerations for getting good results from Explain Data.
• 下載檢視和工作簿: Download views and workbooks as an image, PDF, CSV, PowerPoint, and other formats on Tableau Cloud or Tableau Server.
• 儲存資料來源: Save a data source to a .tds or .tdsx file to reuse or share locally.
• 整合外部動作: Integrate external actions to trigger Salesforce Flow workflows from Tableau dashboards.
• Tableau 資料擷取命令列公用程式: Automate extract refresh tasks using the Tableau Data Extract Command-Line Utility.
• Tableau Extract API: Use the Tableau Hyper API to create and modify .hyper extract files programmatically.
• 向擷取中新增資料: Add new data to an existing extract from a file or another data source.
• 擷取資料: Create a data extract to improve performance and access Tableau features.
• 在擷取中實現計算: Materialize calculations in an extract to speed up future queries.
• 更新 Tableau Server 上的擷取: Update extract data sources published to Tableau Server or Tableau Cloud.
• 重新整理擷取: Refresh extracts using full or incremental refresh from Tableau Desktop.
• 關於擷取從 .tde 升級為 .hyper: Upgrade extracts from the legacy .tde format to the .hyper format.
• 標記我的最愛: Add Tableau Cloud or Tableau Server content as favorites for quick access.
• 跨多個資料來源篩選資料: Filter data across multiple data sources using a common field and relationships.
• 篩選檢視中的資料: Filter data from your views, including interactive and formatted filters.
• 建立切片篩選器: Create slicing filters for multidimensional data sources in Tableau.
• 使用內容篩選器: Use context filters to create an independent filter that other filters depend on.
• 從資料來源中篩選資料: Create data source filters to reduce data and restrict what users can see.
• 將篩選器應用於多個工作表: Apply filters to multiple worksheets that use the same or related data sources.
• 尋找良好的資料集: Learn what makes a good data set for analysis and how to find one.
• 建立預測: Create a forecast in a view using a date dimension and a measure.
• [描述預測] 對話方塊: Understand the Describe Forecast dialog box and the forecast models Tableau computes.
• 預測欄位結果: Understand the forecast result types you can display in a view.
• Tableau 中的預測工作原理: Understand how Tableau forecasting uses exponential smoothing, trend, and seasonality.
• 在檢視中沒有日期時進行預測: Understand how Tableau forecasts when no date dimension is in the view.
• [預測選項] 對話方塊: Configure forecast options including length, source data, model, and prediction interval.
• 解決預測錯誤: Resolve forecasting errors caused by too much or too little data.
• 預測疑難排解: Troubleshoot forecasting issues, including null forecasts.
• 預測: Overview of adding a forecast to a view using a date dimension and measure.
• Tableau 中的 FORMAT() 函數解決方法: Use workarounds for formatting fields since Tableau has no FORMAT() function.
• 設定工作內容的格式: Format worksheet elements such as fonts, shading, alignment, borders, and lines.
• 設置動畫格式: Format animations to highlight changing patterns and transitions in visualizations.
• 建立自訂色彩調色盤: Create and use custom color palettes in Tableau for branding and visualization.
• 使用自訂字型: Use and publish custom fonts in Tableau visualizations and published workbooks.
• 使用自訂格式主題: Use custom formatting themes to apply consistent formatting across workbooks.
• 編輯軸: Edit axis range, scale, and appearance for continuous fields in a view.
• 設定文字格式: Format text including fonts, alignment, tooltips, titles, and captions.
• 重塑儀表板的形象: Rebrand a dashboard by changing fonts, mark colors, tooltips, and adding a logo.
• 調整表和儲存格的大小: Resize tables, rows, columns, and cells to control how a view displays.
• 設定文字和數位元的格式: Overview of options for formatting specific text and number items in a view.
• 設定欄位和欄位標籤的格式: Format a specific field or field label scoped to where it appears in a view.
• 設定數位和 Null 值的格式: Format numbers and null values, including custom number formats and currency.
• 設定檢視各別部分的格式: Format individual view parts such as titles, captions, tooltips, and controls.
• 定義表結構: Define table structure including aspect ratio, number format, and row/column attributes.
• 在工作簿層級設定格式: Format fonts, titles, and lines at the workbook level for consistency across views.
• 在工作表層級設定格式: Format fonts, alignment, shading, borders, and lines at the worksheet level.
• Tableau 中的函數: Overview of the functions available for use in Tableau calculations.
• 所有函數（按字母順序）: Reference of all Tableau calculation functions organized in alphabetical order.
• 所有函數（分類）: Reference of all Tableau calculation functions organized by category.
• 其他函數（規則運算式、Hadoop Hive、Google Big Query）: Reference for additional functions including regular expressions, Hadoop Hive, and BigQuery.
• 日期函式: Reference for Tableau date functions used in calculations.
• 邏輯函數: Reference for Tableau logical functions such as IF, CASE, and AND.
• 數位函數: Reference for Tableau number functions used in calculations.
• 直通函數 (RAWSQL): Reference for RAWSQL pass-through functions that send SQL directly to the database.
• 預測建模函數: Reference for predictive modeling functions MODEL_PERCENTILE and MODEL_QUANTILE.
• 空間函數: Reference for spatial functions such as BUFFER, DISTANCE, and INTERSECTS.
• 字串函數: Reference for Tableau string functions used to manipulate text data.
• 表計算函數: Reference for table calculation functions such as INDEX, LOOKUP, and FIRST.
• 類型轉換: Reference for type conversion functions that cast fields between data types.
• 使用者函數: Reference for user functions used to build user filters and row-level security.
• 在 Tableau 中編寫計算: Learn how to write and format calculations in Tableau, including syntax and components.
• 使用 Tableau Exchange 中合作夥伴組建的連接器: Find, install, and use partner-built connectors from the Tableau Exchange.
• 組建基本檢視以瀏覽資料: Build a basic view with Sample - Superstore to explore your data in Tableau.
• Web 製作入門: Get started with web authoring as a Creator: connect to data and build views on the web.
• 入門: Overview of getting started with building views, the workspace, and Tableau concepts.
• Tableau Help
• 編輯資料來源: Edit data sources, including joining tables, creating calculations, and renaming fields.
• 將 Web 影像動態新增到工作表: Assign an image role to URL fields to add web images dynamically to worksheets.
• 取得工作簿中欄位和工作表的詳細資訊: Get details about fields and sheets in a workbook using Describe Sheet and Describe.
• 標記線: Use drop lines to distinguish marks and call out their position in a view.
• 縮放和平移檢視，以及選取標記: Zoom, pan, and select marks in a view using the view toolbar.
• 摘要卡: Use the Summary Card to see quick statistics about a selection or data source.
• 復原和重做: Use undo and redo to step through actions in Tableau Desktop and the web.
• 檢視基礎資料: Use the View Data window to see the underlying data behind marks and views.
• Tableau JDBC 功能自訂參考: Reference for JDBC capability customizations set in a TDC file.
• 需要 SSL 的 Oracle JDBC 連線: Configure one-way and two-way SSL for Oracle JDBC connections in Tableau.
• 設定用於 JDBC 連線的 SSL: Configure one-way and two-way SSL for JDBC connections in Tableau.
• Tableau 和 JDBC: Understand how Tableau uses JDBC drivers and how to tune their performance.
• 聯結資料: Join data from multiple tables or data sources, including join types and clauses.
• 聯結的假設存在參考完整性: Improve join query performance by assuming referential integrity.
• 在資料網格中檢閱聯結結果: Review join results in the data grid and resolve field mismatches.
• 對聯結進行疑難排解: Troubleshoot join issues like over-counting, duplicated data, and broken joins.
• 改善跨資料庫聯結的效能: Improve performance for cross-database joins between databases and files.
• 顯示關鍵進度指標: Create a view that visualizes Key Progress Indicators using threshold calculations and shapes.
• 授權和啟用: Understand licensing and activation options for Tableau Desktop and Prep.
• 維護 Tableau Desktop 和 Tableau Prep 的授權: Maintain term licenses for Tableau Desktop and Tableau Prep.
• 檢視的 PNG、PDF 或 CSV 連結: Link to PNG, PDF, or CSV versions of a view for sites that don't support embedding.
• 管理認證: Manage saved credentials for data connections on your account settings page.
• Tableau 中的地圖和地理位置資料分析: Overview of creating maps and analyzing geographic data in Tableau.
• Tableau 中的對應: Understand mapping concepts and the types of maps you can build in Tableau.
• 在 Tableau 中組建地圖: Overview of building different map types in Tableau, from simple to choropleth.
• 在地圖上建立領地: Create custom territories on a map by grouping locations or geographic fields.
• 資料混合與自訂地理編碼: Compare data blending and custom geocoding for plotting your own locations on a map.
• 混合地理資料: Example of blending geographic data to plot custom locations on a map.
• 自訂地圖: Overview of options for customizing the look and interaction of maps.
• 自訂使用者與地圖的對話模式: Customize how people interact with a map, including scale, search, pan, and zoom.
• Tableau 支援用於構建地圖檢視的位置資料: Understand the location data Tableau supports for building map views.
• 使用行駛時間分析地圖上的標記: Use the Drive Time selection tool to select map marks based on travel time.
• 在 Tableau 中建立雙軸（分層）地圖: Create dual-axis (layered) maps that overlay two sets of geographic data.
• 編輯未知或不明確的位置: Edit unknown or ambiguous locations that Tableau does not recognize on a map.
• 瀏覽地圖中的資料: Explore map data by selecting marks, panning, zooming, and searching locations.
• 在 Tableau 中設定地理欄位的格式: Assign geographic roles to fields so you can use them to create map views.
• 在 Tableau 中建立顯示比例或彙總資料的地圖: Create choropleth (filled) maps that show ratio or aggregated data in Tableau.
• 在 Tableau 中使用圓形圖建立填充地圖: Create filled maps with pie charts to show proportions by geographic location.
• 在 Tableau 中建立顯示隨時間變化的路徑的地圖: Create flow (path) maps that show movement over time, such as a storm path.
• 顯示密度或趨勢的地圖: Create density maps (heatmaps) that reveal concentration of overlapping marks.
• 在 Tableau 中建立顯示起點和終點之間的路徑的地圖: Create spider (origin-destination) maps that show paths between hubs and points.
• 在 Tableau 中建立突出顯示可視資料叢集的地圖: Create point distribution maps that highlight visual clusters of data points.
• 組建簡單地圖: Build a simple point, filled, or density map for geographic analysis.
• 在 Tableau 中建立顯示定量值的地圖: Create proportional symbol maps that show quantitative values for locations.
• 在地圖中搜尋位置: Use map search to find and inspect locations in a map view.
• 選取背景地圖: Select and change the background map for your map views in Tableau.
• 儲存地圖來源: Save a Mapbox map or WMS server as a Tableau map source (.tms) to share.
• 匯入地圖來源: Import a Tableau map source (.tms) into a workbook to create custom map views.
• 使用 Mapbox 地圖: Add and use Mapbox maps in your Tableau workbooks and map views.
• 使用 Web 地圖服務 (WMS) 伺服器: Connect to and use Web Map Service (WMS) servers as background maps in Tableau.
• 為地圖建立地理層: Create geographic marks layers to overlay multiple layers of data on a map.
• 在地圖中測量資料點與位置之間的距離: Use the Radial tool to measure approximate distances between points on a map.
• 地圖存儲: Understand how Tableau caches map images for performance and offline work.
• 自訂地圖的外觀: Customize map appearance using map layers, styles, and U.S. demographic data.
• 依據空間檔案建立 Tableau 地圖: Create maps from spatial files such as shapefiles, KML, GeoJSON, and geodatabases.
• 在 Tableau 中聯接空間檔案: Join spatial files using their geometry or with spatial calculations.
• 連線到資料庫中的空間資料: Connect to spatial data in a database and use custom SQL or RAWSQL for analysis.
• Tableau 中的地圖工作區: Understand the elements of the Tableau mapping workspace.
• 建立指標並進行疑難排解（已淘汰）: Create and troubleshoot the retired legacy metrics feature.
• 顯示或隱藏缺少的值或空列和空欄: Show or hide missing values, empty rows, and empty columns in a view.
• 移動標記: Move marks forward or backward in a dual-axis view to control overlap.
• 混合您的資料: Blend data from multiple sources by combining a primary and secondary data source.
• 在檢視中為多個量值新增軸: Add individual, blended, or dual axes to compare multiple measures in a view.
• 將欄位併入主資料來源: Use a primary group to bring only needed fields from a secondary data source.
• 編輯主別名: Alias field values using data blending to rename dimension values.
• 巡覽資料窗格中的資料來源: Navigate and select data sources in the Data pane of a workbook.
• 對摘要資料進行混合: Use data blending to combine primary data with summary data from a large source.
• 資料混合疑難排解: Troubleshoot common data blending warnings and errors.
• 瀏覽 Tableau 網站: Tour your Tableau site to find projects, workbooks, views, and data sources.
• OAuth 概覽: Understand OAuth, an authentication protocol for granting limited access to resources.
• Tableau 功能自訂參考: Reference for ODBC capability customizations set in a TDC file.
• 範例：自訂 ODBC 連線: Example of customizing an ODBC connection using a TDC file.
• ODBC/SQL 自訂項參考: Reference for ODBC/SQL customizations set in a TDC file using SQLGetInfo values.
• Tableau 和 ODBC: Understand how Tableau works with ODBC drivers and tunes their performance.
• Tableau 的操作順序: Understand Tableau's order of operations (query pipeline) for filters and calculations.
• 建立參數: Create, edit, and use parameters in calculations, filters, and reference lines.
• 範例：將參數新增至地圖檢視: example: add a parameter to a map view to set a birth rate threshold.
• 範例 – 使用參數切換度量: example: swap measures in a view using parameters and calculated fields.
• 建立柏拉圖: Create a Pareto chart combining bars and a cumulative line using a table calculation.
• 組建檢視時針對效能進行設計: Design for performance while building a view in Tableau.
• Tableau 工作簿效能檢查清單: Use the workbook performance checklist to make performance-aware design choices.
• 在資料庫層級瞭解您的資料: Understand database-level factors that affect Tableau performance.
• 建立高效的計算: Create efficient calculations to improve workbook performance.
• 測試您的資料並使用擷取: Test your data and use extracts to improve workbook performance.
• 記錄和分析工作簿效能: Record and analyze workbook performance in Tableau Desktop.
• 縮短上載時間: Reduce upload times when publishing workbooks to Tableau Server.
• 加快視覺效果的速度: Make visualizations faster by reducing scope, filters, and marks.
• 優化工作簿效能: Overview of tips for optimizing workbook performance in Tableau.
• 在個人空間中建立和編輯私人內容: Save content to a Personal Space on Tableau Cloud or Tableau Server to keep the content private.
• 樞紐分析表資料（從資料欄到列）: Pivot data from crosstab columns to rows, including via custom SQL.
• 建立人口金字塔圖: Create a population pyramid to show distribution of age groups in a population.
• 預測建模: Overview of predictive modeling functions that use linear regression in Tableau.
• 選擇預測模型: Choose a predictive model among linear, regularized, and Gaussian process regression.
• 選擇預測值: Choose predictors for prediction calculations using R-squared values.
• 預測建模中的計算使用和資料分區: Understand Compute Using and data partitioning in predictive modeling functions.
• 範例 - 利用預測建模函數探索女性預期壽命: example: explore female life expectancy with MODEL_PERCENTILE and MODEL_QUANTILE.
• 在時間序列視覺化中的預測建模函數: Use predictive modeling functions to make predictions for future dates in time series.
• 具有產生標記的預測模型: Use predictive modeling with generated marks to predict missing values.
• 預測建模函數在 Tableau 中的運作方式: Understand in detail how predictive modeling functions work in Tableau.
• 預測建模中的正則化和增強指定: Improve predictive model fit using regularization and augmentation.
• 解決預測建模函數中的錯誤: Resolve errors in predictive modeling functions, including Gaussian process errors.
• 從 Tableau Desktop 列印檢視: Set up the page to print or create PDFs from Tableau Desktop.
• Tableau Public 常見問題集: Frequently asked questions about Tableau Public, the free platform for Tableau's commuity.
• 在 Web 上發佈資料來源: Publish a data source from a workbook in web authoring to share and reuse it.
• 發佈資料來源: Publish a data source to Tableau Server or Tableau Cloud to share it.
• 發佈的資料來源的最佳做法: Understand best practices for creating and publishing data sources.
• 發佈資料來源和工作簿: Overview of publishing data sources and workbooks to share your work.
• 授權存取發佈到 Tableau Cloud 的資料: Authorize access for Tableau Cloud to reach cloud data using IP addresses and VPCE IDs.
• 在 Salesforce 發佈檢視: Publish Tableau views to a Salesforce CRM Analytics app or Lightning page.
• 使用使用者篩選器和列層級安全來限制資料存取權限: Restrict data access at the row level using user filters and row-level security.
• 建立使用者篩選器並對其進行保護以便發佈: Create a user filter and secure it for publishing to implement row-level security.
• 使工作簿相容於舊版本: Make workbooks compatible with older versions of Tableau by downgrading them.
• 發佈工作簿: Comprehensive steps and options for publishing a workbook to Tableau.
• 發佈資料來源或工作簿時設定權限: Set permissions for a workbook or data source during publishing.
• 準備發佈工作簿: Prepare a workbook for publishing by deciding on data access and performance.
• 發佈工作簿時排程擷取重新整理: Schedule extract refreshes when publishing a workbook that uses extracts.
• 用於發佈工作簿的簡單步驟: Simple steps to publish a workbook to Tableau Server or Tableau Cloud.
• 將工作簿儲存到 Tableau Public: Save workbooks to Tableau Public to share data discoveries publicly.
• 確定其他人存取您發佈的資料的方式: Determine how others access your published data by setting the authentication type.
• 快速開始：區域圖: Quick start: create an area chart to show accumulated totals over time.
• 快速開始：項目符號圖表: Quick start: build a bullet graph to compare a measure against reference lines.
• 快速開始：組合圖: Quick start: build a combination chart using multiple mark types.
• 管理 Web 內容: Manage web content by editing descriptions and moving or renaming items.
• 建立階層: Create hierarchies to quickly drill up and down between field levels in a viz.
• 使用 Bridge 來保持資料的最新狀態: Use Tableau Bridge to keep data behind a firewall fresh in Tableau Cloud.
• 建立相對日期篩選器: Create relative date filters that dynamically show recent time periods.
• 處理內容修訂: Work with content revisions to view and restore previous versions.
• 關閉自動更新以提升效能: Turn off automatic updates to boost performance while building views.
• 透過分析擴充功能傳遞運算式: Configure analytics extensions and pass expressions using SCRIPT functions.
• 外部服務連線疑難排解: Troubleshoot analytics extension connections and SCRIPT function errors.
• 在您的 Tableau 網站上探索建議的檢視: Discover recommended views on your Tableau site based on usage and popularity.
• 資源回收桶: Restore previously deleted content from the Recycle Bin on your Tableau site.
• 參考線、區間、分佈和盒: Add reference lines, bands, distributions, and box plots to a continuous axis.
• 安裝或升級 Tableau Desktop: Install or upgrade Tableau Desktop and access the repository.
• 重新整理資料或暫停自動更新: Refresh data or pause automatic updates while interacting with a view on the web.
• 重新整理資料來源: Refresh live, extract, and published data sources in Tableau Desktop.
• 與您的資料建立關聯: Relate tables to combine data from multiple tables for analysis.
• 從 Tableau Desktop 匯出資料: Export data from a Tableau Desktop data source or view to CSV, Access, or Excel.
• 從 Tableau Desktop 將檢視匯出到另一個應用程式: Export views from Tableau Desktop as images, PowerPoint, or PDF.
• 將工作簿恢復為上一個儲存的版本: Revert a workbook to its last saved version in Tableau.
• 儲存工作: Save your work in Tableau Desktop and web authoring.
• 已封裝工作簿: Create or unpackage packaged workbooks (.twbx) in Tableau Desktop.
• 搜尋 Tableau 網站: Use quick and full search to find content on your Tableau site.
• Data 360 的視覺區段建立: Create visual segments in Tableau and send them to Salesforce Data 360.
• Web 製作和 Tableau Desktop 功能比較: Compare web authoring and Tableau Desktop authoring features.
• 在 Web 分享和協作: Share content and collaborate with other users on Tableau Cloud and Tableau Server.
• 共用 Web 內容: Share workbooks, views, and other content with other users on Tableau Cloud or Tableau Server.
• 鍵盤快速鍵: Reference list of keyboard shortcuts for working in Tableau.
• 展示見解: Overview of ways to showcase data insights in your views.
• 登入 Tableau Server 或 Tableau Online: Sign in to Tableau Server or Tableau Cloud from Tableau Desktop.
• 對檢視中的資料進行篩選和排序: Overview of filtering and sorting data in Tableau views.
• 使用適用於 Slack 的 Tableau 應用程式: Use the Tableau App for Slack to search, share, and receive notifications.
• 設定 Snowflake 以進行金鑰組驗證: Configure Tableau for Snowflake key-pair authentication.
• 為 Snowflake 連線設定外部 OAuth: Configure external OAuth for Snowflake connections in Tableau.
• 適用於 Snowflake 的外部 OAuth: Configure external OAuth to federate identity from an IdP to Snowflake.
• 透過將資料分組來糾正資料錯誤或合併維度成員: Correct data errors or combine dimension members by grouping data.
• 對資料進行分組: Create groups to combine related members in a field.
• 使用群組為檢視設定色彩: Color a view by selecting marks to create visual groups.
• 建立集合: Create dynamic and fixed sets to compare subsets of data.
• 「前 N 個」和「其他」的集合: Use sets and a parameter to create a Top N and Others view.
• 在視覺效果中對資料進行排序: Sort data in a Tableau visualization using axis, header, or toolbar options.
• 空間參數和運算子: Create spatial parameters and use spatial operators in calculations.
• 將一個欄位拆分為多個欄位: Split a string field into multiple fields in Tableau.
• 在開始頁面和工作區之間巡覽: Navigate between the start page and workspace in Tableau Desktop.
• 統計檔連接器支援的使用者定義編碼: Reference for character encodings supported by the statistical file connector.
• 故事: Understand stories, a sequence of visualizations that convey information.
• 講述精彩故事的最佳做法: Best practices for telling great data stories in Tableau.
• 建立故事: Create a story and add story points in Tableau.
• 範例 - 一個調查趨勢的故事: Walk through building a story that examines an earthquake trend.
• 故事工作區: Understand the controls and elements of the story workspace.
• 建立檢視或工作簿訂閱: Create a subscription to a view or workbook for yourself or other users on Tableau Cloud or Tableau Server.
• 管理資料來源: Overview of tasks for managing data sources in Tableau.
• 使用標記: Use tags to categorize and find content on Tableau Server and Tableau Cloud.
• 資料表擴充功能: Create table extensions with analytics extension scripts in Tableau Desktop.
• Tableau Desktop 中的視覺提示和圖示: Understand the visual cues and icons used in Tableau Desktop.
• 向視覺效果中新增趨勢線: Add and edit trend lines in a Tableau visualization.
• 發現趨勢: Overview of spotting trends with trend lines, reference lines, and clustering.
• 聯集資料: Union tables to append rows from one table to another in Tableau.
• 升級資料來源: Upgrade Excel and text file data sources in Tableau Desktop.
• 將工作簿上傳到 Tableau 站台: Upload workbooks directly to a Tableau Cloud or Tableau Server site.
• 管理您的帳戶設定: Manage your Tableau Cloud or Tableau Server account settings, credentials, and personal access tokens.
• 檢視的部件: Understand the basic parts of a Tableau view.
• 檢視資料模型: Use View Data Model to understand the structure of your data source.
• 我可以使用 Tableau Web 檢視做些什麼？: Learn what you can do with an interactive Tableau web view.
• 控制檢視中標記的外觀: Control color, size, shape, and text of marks using the Marks card.
• 調色盤和效果: Understand color palettes and effects for marks in Tableau.
• 範例 – [色彩] 上的多個欄位: Example of using multiple fields on color to build a treemap.
• 變更檢視中標記的類型: Change the type of mark displayed in a Tableau view.
• 堆疊標記: Understand how marks are stacked along a numeric axis.
• 瀏覽和管理 Web 內容: Overview of exploring and managing web content in Tableau.
• 視覺化最佳做法: Apply visual best practices for fonts, colors, and layout in Tableau.
• 在您的工作表中新增視覺效果擴充功能: Add Viz Extensions to a worksheet to extend visual capabilities.
• 為工具提示建立檢視（工具提示內部視覺效果）: Embed a visualization within a tooltip using Viz in Tooltip.
• 使用輔助技術巡覽視覺效果: Navigate visualizations with a keyboard and assistive technology.
• 工作簿優化器: Use the Workbook Optimizer to check workbook performance best practices.
• 簡化工作簿: Streamline your workbook to improve performance by reducing complexity.
• 在 Web 上編輯 Tableau 檢視: Edit and create Tableau views on the web.
• 在 Web 上使用 Tableau: Overview of using Tableau on the web for authoring and collaboration.
• 我可以使用 Tableau 站台做什麼？: Understand what you can do with a Tableau site on Tableau Server or Tableau Cloud.
• 為資料選擇正確的圖表類型: Choose the right chart type for your data and analysis.
• Tableau Desktop 新增功能和 Web 製作: Explore the features released for Tableau Desktop and web authoring.
• 語言和地區設定: Set the language and locale for Tableau Desktop and workbooks.