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ویرایش: [3 ed.]
نویسندگان: Adam Aspin
سری:
ISBN (شابک) : 1484257626, 9781484257623
ناشر: Apress
سال نشر: 2020
تعداد صفحات: 988
[918]
زبان: English
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 29 Mb
در صورت تبدیل فایل کتاب Pro Power Bi Desktop: Self-service Analytics and Data Visualization for the Power User به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب Pro Power Bi Desktop: تجزیه و تحلیل سلف سرویس و تجسم داده برای کاربر قدرتمند نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
با Microsoft Power BI Desktop هوش تجاری چشم نواز و روشنگری ارائه دهید. این نسخه جدید بهروزرسانی شده است تا آخرین ویژگیهای محصول تجسمی مایکروسافت را پوشش دهد. نکته جدید در این نسخه، کمک به داستانگویی است - سازگار با رایانههای شخصی، تبلتها، و تلفنهای هوشمند - و ساخت یک روایت داده. پوشش الگوها و شیوه نامه های JSON، حاشیه نویسی مدل داده، و استفاده از منابع داده ترکیبی را خواهید دید. همچنین مقدمه ای برای ترکیب تصاویر Python و تصویری مورد انتظار Decomposition Tree ارائه شده است. Pro Power BI Desktop به شما نشان میدهد که چگونه از دادههای منبع برای تولید داشبوردهای خیرهکننده و گزارشهای قانعکنندهای استفاده کنید که در قالب یک روایت دادهای برای جلب توجه مخاطبان خود شکل میدهید. داده ها را با سهولت قابل توجه برش داده و برش دهید و سپس معیارها و KPI ها را اضافه کنید تا بینش هایی را که مزیت رقابتی شما را ایجاد می کند، ارائه دهید. با ابزار رایگان سلف سرویس BI مایکروسافت، داده های خام را به اطلاعات واضح، دقیق و تعاملی تبدیل کنید. این کتاب به شما نشان می دهد که چگونه از بین طیف گسترده ای از انواع تجسم داخلی و شخص ثالث انتخاب کنید تا پیام شما همیشه بهبود یابد. شما می توانید آن نتایج را در رایانه های شخصی، تبلت ها و تلفن های هوشمند ارائه دهید و همچنین نتایج را از طریق ابر به اشتراک بگذارید. این کتاب به شما کمک میکند تا با تهیه صحیح دادههای زیربنایی بدون نیاز به بخش فناوری اطلاعات برای تهیه آن، در زمان خود صرفهجویی کنید. آنچه یاد خواهید گرفت ارائه اطلاعات جلب توجه، تبدیل داده ها به بینش در حین خرد کردن و تغییر دادن داده های خود به شکلی که قبلاً نبوده است، بینش های جدیدی بیابید. روایتی از داده ها را از طریق گزارش های تعاملی با برش متقاطع و متقاطع برش دهید. یک مدل داده تمیز و منسجم ایجاد نمودارها، نقشهها و جداول وابسته به هم برای ارائه اطلاعات بصری خیرهکننده داشبوردهایی ایجاد کنید که به نظارت بر شاخصهای عملکرد کلیدی کسب و کار شما کمک میکند. آماده است تا با فراتر رفتن از آنچه مایکروسافت اکسل به تنهایی می تواند ارائه دهد، به لیگ های بزرگ صعود کند. این کتاب همچنین برای مدیران خط کسب و کار است که گرسنه دریافت داده های عملی مورد نیاز برای تصمیم گیری در مورد کسب و کار خود هستند. و این کتاب برای تحلیلگران BI است که به دنبال ابزاری آسان برای تجزیه و تحلیل داده ها و به اشتراک گذاری نتایج با همکاران C-suite هستند که از آنها پشتیبانی می کنند.
Deliver eye-catching and insightful business intelligence with Microsoft Power BI Desktop. This new edition has been updated to cover all the latest features of Microsoft’s continually evolving visualization product. New in this edition is help with storytelling—adapted to PCs, tablets, and smartphones—and the building of a data narrative. You will find coverage of templates and JSON style sheets, data model annotations, and the use of composite data sources. Also provided is an introduction to incorporating Python visuals and the much awaited Decomposition Tree visual. Pro Power BI Desktop shows you how to use source data to produce stunning dashboards and compelling reports that you mold into a data narrative to seize your audience’s attention. Slice and dice the data with remarkable ease and then add metrics and KPIs to project the insights that create your competitive advantage. Convert raw data into clear, accurate, and interactive information with Microsoft’s free self-service BI tool. This book shows you how to choose from a wide range of built-in and third-party visualization types so that your message is always enhanced. You will be able to deliver those results on PCs, tablets, and smartphones, as well as share results via the cloud. The book helps you save time by preparing the underlying data correctly without needing an IT department to prepare it for you. What You Will Learn Deliver attention-grabbing information, turning data into insight Find new insights as you chop and tweak your data as never before Build a data narrative through interactive reports with drill-through and cross-page slicing Mash up data from multiple sources into a cleansed and coherent data model Build interdependent charts, maps, and tables to deliver visually stunning information Create dashboards that help in monitoring key performance indicators of your business Adapt delivery to mobile devices such as phones and tablets Who This Book Is For Power users who are ready to step up to the big leagues by going beyond what Microsoft Excel by itself can offer. The book also is for line-of-business managers who are starved for actionable data needed to make decisions about their business. And the book is for BI analysts looking for an easy-to-use tool to analyze data and share results with C-suite colleagues they support.
Table of Contents About the Author About the Technical Reviewer Acknowledgments Introduction Chapter 1: Discovering and Loading Data with Power BI Desktop The Data Load Process Understanding Data Load The Navigator Dialog Searching for Datasets Display Options Only Selected Items Enable Data Previews Refresh Source Data Refresh Data Preview Refresh Select Related Tables The Navigator Data Preview Modifying Data Data Sources Conclusion Chapter 2: Discovering and Loading File-Based Data with Power BI Desktop File Sources Loading Data from Files CSV Files What Is a CSV File? Text Files Text and CSV Options File Origin Delimiter Data Type Detection Simple XML Files Excel Files Importing Excel and Power View Items Microsoft Access Databases PDF Files JSON Files Conclusion Chapter 3: Loading Data from Databases and Data Warehouses Relational Databases SQL Server Automatically Loading Related Tables Database Options Server Connection Searching for Databases, Tables, and Views in Navigator Searching for Databases Searching for Tables Database Security Using a SQL Statement Stored Procedures in SQL Server Oracle Databases Other Relational Databases Microsoft SQL Server Analysis Services Data Sources Analysis Services Cube Tools Add Items Collapse Columns SSAS Tabular Data Warehouses Import or Connect Live Modifying Connections Changing Permissions Other Database Connections Conclusion Chapter 4: DirectQuery and Connect Live DirectQuery and Connect Live Microsoft SQL Server Data SQL Server Analysis Services Dimensional Data Microsoft SQL Server Analysis Services Tabular Data Sources DirectQuery with Non-Microsoft Databases DirectQuery and In-Memory Tables DirectQuery and Refreshing the Data Conclusion Chapter 5: Loading Data from the Web and the Cloud Web and Cloud Services Web Pages Online Services Microsoft Azure Web Pages Advanced Web Options Table View or Web View Salesforce Loading Data from Salesforce Objects Salesforce Reports Microsoft Dynamics 365 Google Analytics OData Feeds OData Options Azure SQL Database Azure SQL Data Warehouse (Azure Synapse Analytics) Connecting to SQL Server on an Azure Virtual Machine Azure Blob Storage Azure Security Conclusion Chapter 6: Loading Data from Other Data Sources Other Sources Power BI Datasets Power BI Dataflows R Transformations Python Transformations Common Data Model ODBC Sources OLE DB Data Sources Refreshing Data Refreshing the Entire Data in the Power BI Desktop In-Memory Model Refreshing an Individual Table Adding Your Own Data Conclusion Chapter 7: Structuring Imported Data Power BI Desktop Queries Editing Data After a Data Load Transforming Data Before Loading Query or Load? The Power BI Desktop Query Editor The Applied Steps List The Power BI Desktop Query Editor Ribbons The Home Ribbon The Transform Ribbon The Add Column Ribbon The View Ribbon Dataset Shaping Renaming Columns Reordering Columns Removing Columns Choosing Columns Merging Columns Going to a Specific Column Removing Records Keeping Rows Removing Rows Removing Blank Rows Removing Duplicate Records Sorting Data Reversing the Row Order Undoing a Sort Operation Filtering Data Selecting Specific Values Finding Elements in the Filter List Filtering Text Ranges Filtering Numeric Ranges Filtering Date and Time Ranges Filtering Data Applying Advanced Filters Grouping Records Simple Groups Complex Groups Saving Changes in the Query Editor Exiting the Query Editor Conclusion Chapter 8: Data Transformation and Cleansing Viewing a Full Record Power BI Desktop Query Editor Context Menus Using the First Row as Headers Changing Data Type Detecting Data Types Data Type Indicators Switching Data Types Data Type Using Locale Replacing Values Transforming Column Contents Text Transformation Adding a Prefix or a Suffix Removing Leading and Trailing Spaces Removing Nonprinting Characters Number Transformations Calculating Numbers Date Transformations Time Transformations Duration Filling Down Empty Cells Extracting Part of a Column’s Contents Advanced Extract Options Text Before and After Delimiter Text Between Delimiters Duplicating Columns Splitting Columns Splitting Column by a Delimiter Advanced Options for Delimiter Split Splitting Columns by Number of Characters Merging Columns Creating Columns from Examples Adding Conditional Columns Index Columns Conclusion Chapter 9: Restructuring Data The Power BI Desktop Query Editor View Ribbon Merging Data Adding Data Aggregating Data During a Merge Operation Types of Join Use the Original Column Name As the Prefix Search Columns to Expand Joining on Multiple Columns Fuzzy Matching Fuzzy Matching Options Merge As New Query Preparing Datasets for Joins Correct and Incorrect Joins The Columns Do Not Map The Columns Map, but the Result Is a Massive Table with Duplicate Records Examining Joined Data Appending Data Adding the Contents of One Query to Another Appending the Contents of Multiple Queries Changing the Data Structure Unpivoting Tables Unpivot Options Pivoting Tables Transposing Rows and Columns Data Quality Analysis Column Quality Column Distribution Column Profile Profiling the Entire Dataset Correcting Anomalies Data Transformation Approaches Conclusion Chapter 10: Complex Data Loads Adding Multiple Files from a Source Folder Filtering Source Files in a Folder Displaying and Filtering File Attributes Removing Header Rows After Multiple File Loads Loading and Parsing JSON Files The List Tools Transform Ribbon Parsing XML Data from a Column Parsing JSON Data from a Column Complex JSON Files Complex XML Files Convert a Column to a List Reusing Data Sources Pinning a Data Source Copying Data from Power BI Desktop Query Editor Conclusion Chapter 11: Organizing, Managing, and Parameterizing Queries Managing the Transformation Process Modifying a Step Renaming a Step Deleting a Step or a Series of Steps Modifying an Existing Step Adding a Step Altering Process Step Sequencing An Approach to Sequencing Error Records Removing Errors Managing Queries Organizing Queries Grouping Queries Creating a New Group Renaming Groups Adding a Query to a Group Duplicating Queries Referencing Queries Documenting Queries Adding a Column As a New Query Enabling Data Load Enabling Report Refresh Pending Changes Parameterizing Queries Creating a Simple Parameter Creating a Set of Parameter Values Creating a Query-Based Parameter Modifying a Parameter Modifying the Structure of a Parameter Applying a Parameter When Filtering Records Modifying the Current Value of a Parameter Applying a Parameter in a Search and Replace Applying a Parameter to a Data Source Other Uses for Parameters Using Parameters in the Data Source Step Applying a Parameter to a SQL Query Query Icons Power BI Templates with Parameters Conclusion Chapter 12: The M Language What Is the M Language? M and the Power Query Editor Modifying the Code for a Step M Expressions Writing M by Adding Custom Columns The Advanced Editor Expressions in the Advanced Editor The Let Statement Modifying M in the Advanced Editor Syntax Checking Advanced Editor Options Basic M Functions Text Functions Number Functions Date Functions Time Functions Duration Functions M Concepts M Data Types M Values Defining Your Own Variables in M Writing M Queries Lists Creating Lists Manually Generating Sequences Using Lists Accessing Values from a List List Functions Records Tables Other Function Areas Custom Functions in M Adding Comments to M Code Single-Line Comments Multiline Comments Conclusion Chapter 13: Creating a Data Model The Power BI Desktop Data View Data View or Query? The Power BI Desktop Data View Ribbons Managing Power BI Desktop Data Manipulating Tables Renaming Tables Deleting a Table Selecting a Field from the List of Available Field Names Manipulating Fields Renaming a Field Deleting Fields Moving Fields Setting Field Widths Preparing Data Power BI Desktop Data Types Formatting Power BI Desktop Data Currency Formats Preparing Data for Dashboards Categorizing Data Applying a Default Summarization Defining Sort By Fields Hiding Tables and Fields from the User Hiding Fields and Tables Removing Hidden Fields and Tables from View Sorting Data in Power BI Desktop Tables Creating and Modifying Groups Creating a Group Modifying a Group Deleting a Group Marking a Table as a Date Table Designing a Power BI Desktop Data Model Data Modeling in the Power BI Desktop Environment The Modeling Ribbon Data View and Model View Model View Display Options Creating Relationships Creating Relationships Manually Creating Relationships Automatically Deleting Relationships Managing Relationships Deactivating Relationships Advanced Relationship Options Cardinality Cardinality Issues Managing Relationships Between Tables Cross-Filter Direction Other Relationship Options Make This Relationship Active Assume Referential Integrity Reimporting Related Tables Table and Field Properties Adding Hierarchies Conclusion Chapter 14: Table Visuals Power BI Desktop Report View Switching to Report View The Power BI Desktop Window View Types Working with Tables Creating a Basic Table Selecting a Table Deleting a Table Copying a Table Changing the Table Size and Position Resizing a Table Moving a Table Changing Column Order Renaming Fields Removing Columns from a Table Table Granularity Types of Data Searching for Fields Enhancing Tables Row Totals Formatting Numbers in Reports Font Sizes in Tables Changing Column Widths Inhibiting Automatic Adjustment of Column Width and Enabling Word Wrap Sorting by Column Formatting Tables Table Style Adding and Formatting Titles Modifying the Table Background Table Borders Row Formatting Table Grid Column Headers Field Formatting Formatting Totals Conditional Formatting Background Color Text Color Data Bars Icons Exporting Data from a Visualization Conclusion Chapter 15: Matrix and Card Visuals Creating a Matrix Creating a Row Matrix Adding or Removing Subtotals in a Matrix Column Matrix Expanding and Drilling Down and Up The Data/Drill Ribbon The Matrix Navigation Icons The Context Menu for Matrix Items The +/- Icons for Each Individual Item in a Level Displaying Data at the Previous Level Displaying Data for a Sublevel Drilling Down at Row Level Drill Down Using Click-Through Drilling Down at Column Level Visualize Source Data Viewing Records Including and Excluding Matrix Elements Displaying Multiple Values As Rows Formatting a Matrix Stepped Layout Subtotals Placing Subtotals Custom Subtotal Settings per Level of Matrix Sorting Data in Matrices Cards Formatting Cards Multirow Cards Formatting Multirow Cards Sorting Multirow Cards Switching Between Table Types Conclusion Chapter 16: Charts in Power BI Desktop A First Chart Creating a First Chart Converting a Table into a Chart Deleting a Chart Basic Chart Modification Basic Chart Types Column Charts Line Charts Pie Charts Essential Chart Adjustments Resizing Charts Repositioning Charts Sorting Chart Elements Donut Charts Funnel Charts Multiple Data Values in Charts 100% Stacked Column and Bar Charts Scatter Charts Bubble Charts Waterfall Charts Ribbon Charts Dual-Axis Charts Line and Clustered Column Chart Line and Stacked Column Chart Data Details Drilling into and Expanding Chart Data Hierarchies Drill Down Expand All Down One Level in the Hierarchy Go to the Next Level in the Hierarchy Including and Excluding Data Points Conclusion Chapter 17: Formatting Charts in Power BI Desktop Multiple Chart Formatting Chart Legends Legend Display Legend Position Legend Title Chart Title Chart Data Labels Chart Background Data Colors Plot Area Axis Modification Modifying the X Axis Modifying the Y Axis Chart Borders General Attributes Chart Aspect Ratio Specific Chart Formatting Line, Area, and Stacked Area Charts Pie and Donut Charts Ribbon Charts Funnel Charts Scatter and Bubble Charts Bubble Chart Play Axis Chart Analytics Scatter Chart Symmetry Shading and Ratio Line Symmetry Shading Ratio Line Conclusion Chapter 18: Other Types of Visuals Tree Maps Drill Down and Tree Maps Formatting Tree Maps Legend Data Colors Data Labels Category Labels Title Background Lock Aspect Border Gauges Formatting Gauges KPIs R Visuals R Options Python Visuals Python Options Decomposition Tree Key Influencers Conclusion Chapter 19: Third-Party Visuals The Power BI Visuals Gallery Loading Custom Visuals from Disk Removing Custom Visuals A Rapid Overview of a Selection of Custom Visuals Aster Plots Radar Charts Bullet Charts Word Clouds Streamgraphs Tornado Charts Chord Charts Sankey Diagrams Horizontal Bar Chart Attribute Slicer Histogram Chart Correlation Plots Countdown Timer Infographic Designer Custom Slicers Conclusion Chapter 20: Maps in Power BI Desktop Working with Bing Maps Creating Maps in Power BI Desktop Using Geographical Data Geographical Data Types Define the Data Category in the Data Model Add Multiple Levels of Geographical Information Drilling Down in Maps Adjusting the Map Display in Power BI Desktop Positioning the Map Elements Zooming In or Out Multivalue Series Highlighting Map Data Filled Maps Shape Maps Map Keys Adding Shape Maps Formatting Maps Maps Data Colors Category Labels Bubbles Map Controls Map Styles Tooltips Shape Maps Defining a Color Range for Data ArcGIS Maps Creating an ArcGIS Map Selecting a Basemap Type Selecting a Location Type Adding a Map Theme Choosing a Symbol Type Adding Pins Adding a Reference Layer Adding Infographics Conclusion Chapter 21: Filtering Data Filters Filter Hierarchy Visual-Level Filters The Filters Pane Collapsing and Expanding the Filters Pane Adding Filters Applying Filters The Select All Filter Clearing Filters Adding Filters Removing Filters Filtering Different Data Types Filtering Numeric Data Range Filter Mode Numeric Filter Options Filtering Date and Time Data Date and Time Filters Date Filter Options Relative Date Filtering Filtering True or False Data Advanced Text Filters Applying an Advanced Text Filter Clearing an Advanced Filter Reverting to Basic Filtering Text Filter Options Top N Filtering Specific Visualization-Level Filters Multiple Filters Page-Level Filters Report-Level Filters Filter Field Reuse Requiring Single Selection Using the Filter Hierarchy Filtering Tips Don’t Filter Too Soon Annotate, Annotate, Annotate Avoid Complex Filters Conclusion Chapter 22: Using Slicers Slicers Adding a Slicer Applying Slicers Clearing a Slicer Deleting a Slicer Converting a Slicer to Another Visual Type Modifying a Slicer Date Slicers Formatting Slicers Slicer Orientation Slicer Responsiveness Modifying the Outline Adjusting Selection Controls Adding or Removing the Select All Box Enabling Multiselect Enabling Single Select Setting the Exact Size and X and Y Coordinates of a Slicer Formatting the Slicer Header Formatting Slicer Items Sorting Slicer Elements Switching to Dropdown Slicers Exporting Slicer Data Using Charts As Slicers Charts As Slicers (Cross-Filtering) Highlighting Chart Data Cross-Chart Highlighting Highlighting Data in Bubble Charts Charts As Complex Slicers Column and Bar Charts As Filters Specifying Visual Interactions What-If Slicers Custom Visuals As Slicers Timeline Slicer Timebrush Slicer Chiclet Slicer Text Filter Choosing the Correct Approach to Interactive Data Selection Conclusion Chapter 23: Enhancing Dashboards Formatting Ribbons The View Ribbon The Insert Ribbon The Format Ribbon Formatting the Page Aligning and Distributing Visuals Aligning Visuals Distributing Visuals Aligning to the Grid Displaying the Grid Specifying the Exact Position of a Visual Adding Text Boxes to Annotate a Report Adding a Text Box Moving Text Boxes Formatting a Text Box Adding a Hyperlink Removing a Hyperlink Deleting Text Boxes Modifying the Page Background Color Images Image Sources Adding an Image Removing an Image Resizing Images Formatting Images Background Images Adding a Background Image Some Uses for Independent Images Adding Shapes Formatting Shapes Lines and Fill Color in Shapes Shape Rotation Removing Shapes Standardizing Shapes Organizing Visuals on the Page Layering Visuals Grouping Visuals Phone Layout Report Themes Conclusion Chapter 24: Advanced Dashboarding Techniques Drillthrough The Source Page The Destination Page Applying Drillthrough Multiple Levels of Drillthrough Drillthrough Across Power BI Files Popup Tooltips Bookmarks Updating a Bookmark Defining the Extent of a Bookmark’s Application Arranging Bookmarks Slideshows Using Bookmarks Buttons Button Options Changing the Button Type Button Actions Formatting Buttons Using Images and Shapes as Buttons Applying Slicers Across Multiple Pages Setting Slicer Visibility Across Multiple Pages Templates Conclusion Appendix A: Sample Data Sample Data Downloading the Sample Data Images Index