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ویرایش:
نویسندگان: Ann Jackson. Luke Stanke
سری:
ISBN (شابک) : 149208008X, 9781492080084
ناشر: O'Reilly (WILEY UK)
سال نشر: 2021
تعداد صفحات: 350
زبان: English
فرمت فایل : EPUB (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 60 Mb
در صورت تبدیل فایل کتاب Tableau Strategies: Solving Real, Practical Problems with Data Analytics 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 استراتژی های تابلو: حل مشکلات واقعی و عملی با تجزیه و تحلیل داده ها 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.
اگر می خواهید ارزش Tableau را برای سازمان خود افزایش دهید، این کتاب کاربردی به شما کمک می کند. نویسندگان آن جکسون و لوک استانک، تحلیلگران داده را از طریق دستور العمل هایی برای حل مسائل تحلیلی دنیای واقعی با استفاده از Tableau راهنمایی می کنند. با شروع با اصول اولیه و ساختن به سمت موضوعات پیشرفته مانند تجزیه و تحلیل چند بعدی و تجربه کاربر، نمونه های عملی و خلاقانه ای را که می توانید در داده های خود اعمال کنید، کشف خواهید کرد. رقابت امروزی مستلزم توانایی تجزیه و تحلیل سریع، تجسم و تصمیم گیری مبتنی بر داده است. با این راهنما، دست اندرکاران داده و رهبران به طور یکسان استراتژی هایی برای ایجاد تجسم ها، داشبوردها و محصولات داده قانع کننده و هدفمند خواهند آموخت. هر فصل حاوی دلایل پشت راه حل و دانش فنی است که برای انجام آن نیاز دارید. تجسم انواع دادههای مختلف و مقابله با چالشهای داده خاص ایجاد تجسم دادههای قانعکننده، داشبورد، و محصولات دادهای بیاموزید که چگونه تجزیه و تحلیلهای خاص صنعت تولید کنید از این کتاب بهعنوان راهنمای مرجع در محل کار با ارزش بالا برای Tableau Explore تجزیه و تحلیل مقولهای و کمی استفاده کنید. مقایسه درک تحلیل های جغرافیایی، پویا و آماری و چند متغیره ارزش پلتفرم Tableau را به تیم خود و ذینفعان در میان بگذارید.
If you want to increase Tableau's value to your organization, this practical book has your back. Authors Ann Jackson and Luke Stanke guide data analysts through recipes for solving real-world analytics problems using Tableau. Starting with the basics and building toward advanced topics such as multidimensional analysis and user experience, you'll explore pragmatic and creative examples that you can apply to your own data. Staying competitive today requires the ability to quickly analyze, visualize, and make data-driven decisions. With this guide, data practitioners and leaders alike will learn strategies for building compelling and purposeful visualizations, dashboards, and data products. Every chapter contains the why behind the solution and the technical knowledge you need to make it work. Visualize different data types and tackle specific data challenges Create compelling data visualizations, dashboards, and data products Learn how to generate industry-specific analytics Use this book as a high-value on-the-job reference guide to Tableau Explore categorical and quantitative analysis and comparisons Understand geospatial, dynamic, and statistical and multivariate analysis Communicate the value of the Tableau platform to your team and to stakeholders
Copyright Table of Contents Preface Who Should Read This Book Why We Wrote This Book Navigating This Book Conventions Used in This Book O’Reilly Online Learning How to Contact Us Acknowledgments Chapter 1. Categorical Analysis Bar Charts: Banco de Tableau Case Study Strategy: Build a Bar Chart in Tableau Strategy: Create a Top N Bar Chart Strategy: Dynamically Group Other Dimensions Strategy: Enhance Your Bar Chart with Color Strategy: Left-align Text Strategy: Create Bars with Labels on Top Strategy: Create a Percent-of-Maximum Bar Chart Bar-on-Bar Charts: Amplify Performance Case Study Strategy: Create a Bar-on-Bar Chart Treemaps: Amplify Performance Case Study Strategy: Create a Basic Treemap Strategy: Create Drillable Treemaps Strategy: Encode a Continuous Measure with Color Pie and Donut Charts: IT Employee Wellness Project Case Study Strategy: Build a Basic Pie Chart Strategy: Build a Donut Chart Strategy: Create Small Multiples Conclusion Chapter 2. Quantitative Analysis Histograms: Office Essentials Case Study Strategy: Make a Simple Histogram of Purchasing Behavior Strategy: Create a Histogram with a Continuous Bin Strategy: Use LOD Expressions in Histograms Dot Plots and Jitterplots: Office Essentials Case Study Strategy: Create a Basic Dot Plot Strategy: Create a Jitterplot Ranged Dot Plots: Office Essentials Case Study Strategy: Create a Ranged Dot Plot Strategy: Use Median and Leveraged Percentiles Box Plots: Spear-Tukey Shipping Case Study Strategy: Create a Basic Box Plot Strategy: Combine a Box Plot and Histogram Line Charts: Office Essentials Case Study Strategy: Build a Line Chart Strategy: Add Reference Distributions to a Line Chart Strategy: Add a Standard Deviation to a Line Chart Strategy: Use Reference Distributions as an Alerting Tactic Calculated Dimensions Based on Statistics: Banco de Tableau Case Study Strategy: Assign a Summary Statistical Value to Data Points Pareto Charts: Amplify Performance (AP) Case Study Strategy: Use Pareto Charts to Show Categorical Data Conclusion Chapter 3. Making Comparisons Bar Charts and Alternatives: Amplify Performance Case Study Strategy: Compare with a Basic Bar Chart Strategy: Convert a Vertical Bar Chart to Horizontal Strategy: Create a Lollipop Chart Strategy: Create a Basic Cleveland Dot Plot Bar Charts for Rank Changes: AP Case Study Strategy: Show Rank and Change of Rank on a Bar Chart Bump Charts for Rank Changes over Multiple Periods: AP Case Study Strategy: Make a Bump Chart Barbell Plots for Hierarchical Data: Office Essentials Case Study Strategy: Build a Barbell Plot Trellis Charts/Small Multiples: Office Essentials Case Study Strategy: Create a Trellis Chart for a Single Dimension Parallel Coordinates Plots for Multiple Measures: OE Case Study Strategy: Build a Parallel Coordinates Chart Conclusion Chapter 4. Working with Time Understanding Dates and Time Date Parts and Date Values Date Calculations Date Hierarchies and Custom Dates Discrete Versus Continuous Dates Call Frequency: Chips and Bolts Call Center Case Study Strategy: Determine Total Call Time by Hour Strategy: Create a Plot to Measure Total Call Time by Minute Strategy: Create a Continuous Datetime Axis by the Second Strategy: Create a Continuous Datetime Axis for 15-Second Intervals Strategy: Create a Continuous Datetime Axis for 15-Minute Intervals Heatmaps (Highlight Tables) Strategy: Build an Essential Heatmap Strategy: Create a More Detailed Heatmap Comparing Values Year-to-Date: CaB Call Center Case Study Strategy: Show Progress to the Total by Using Two Bar Charts Strategy: Compare Similar Periods on a Line Chart Automated Reports Automating Reports for Month-over-Month and Year-over-Year Change: CaB Call Center Case Study Strategy: Automated Rolling Table Nonstandard Calendars Strategy: Build a Monthly Bar Chart with a June 1 Fiscal Year Start Visualizing the 4-5-4 Calendar: Office Essentials Case Study Strategy: Build a Bar Chart Using the 4-5-4 Retail Calendar Conclusion Chapter 5. Key Performance Indicators Displaying KPIs Displaying KPIs: Office Essentials Case Study Strategy: Designing Clear KPIs Strategy: Create Single-Sheet KPIs Strategy: Automate Your KPIs Strategy: Create Year-over-Year Calculations Sparklines Sparklines: Office Essentials Case Study Strategy: Create Sparklines Strategy: Create Year-to-Date Sparklines Strategy: Create Rolling 24-Month Sparklines Strategy: Build Delta Spark Bars Strategy: Progress to Target Multiple KPIs as a Scorecard KPI Scorecard: Office Essentials Case Study Strategy: Create Aggregate KPIs Tracking Daily Changes: Office Essentials Case Study Strategy: Create Month-to-Date Sparklines Strategy: Create Month-to-Date KPIs Strategy: Combine KPI Visualizations in a Dashboard Conclusion Chapter 6. Building Impactful Tables Building Great Tables Ensure a Clear Purpose for Your Table Format Your Table to Maximize Readability Using Color in Tables: Office Essentials Case Study Strategy: Create a Table Using Limited Color Strategy: Encode Color with Dots Moving Beyond Measure Names and Values: Office Essentials Case Study Strategy: Create a Table Body Without Measure Names or Measure Values Strategy: Create Table Headers Without Measure Names or Measure Values Strategy: Use Measures as Headers Problem-Solving with Subsets and Hiding the Dreaded Abc: Office Essentials Case Study Strategy: Show the Top Products Within Sub-Categories Strategy: Hide the Abc Conclusion Chapter 7. Working with Geospatial Data Choropleth (Filled) Maps Displaying Customer Penetration with Choropleth Maps: Office Essentials Case Study Strategy: Create a Simple Choropleth Map Strategy: Normalize a Choropleth Map Strategy: Add a Custom Color Palette Strategy: Make a Decile Choropleth Map Symbol Maps Using Symbol Maps to Show Profitability and Channel Distribution: OE Case Study Strategy: Create a Symbol Map Strategy: Create a Map with Donut Charts Tile Maps (Cartograms) Showing Education Level with a Tile Map: Aloft Educational Services Case Study Strategy: Build a Square Tile Map Strategy: Compare Parts Against the Whole with a Tile Map Built-in Features and Functions Using Built-in Features and Functions with Marketing Data: SAGE Digital Marketing Case Study Strategy: Build Custom Polygons Using Groups Strategy: Build Custom Polygons Using Underlying Geographic Data Strategy: Use the Distance Function to Show Zip Codes’ Distance from a Central Location Strategy: Use the Buffer Function to Map a Trade Area Using Radial Distance Strategy: Create Paths Between a Starting Point and Destinations with MakePoint and MakeLine Conclusion Chapter 8. Advanced Mathematical Concepts Forecasting Using Forecasting to Predict Staffing Needs: CaB Call Center Case Study Strategy: Create a Monthly Forecast Relationships Between Two Numerical Values Using Scatter Plots to See Relationships Between Spend and Conversions: SAGE Digital Marketing Case Study Strategy: Create a Scatter Plot Strategy: Create a Quadrant Chart Strategy: Add a Trend Line to a Scatter Plot Cluster Analysis Creating Segmentation Among Employees to Assess Differences in Attrition: Banco de Tableau Case Study Strategy: Add Cluster Analysis to a Scatter Plot and Use Analysis in Another Chart Alternative Axis and Many Multiples Tracking Positive Cases of COVID-19 Globally: Logistics Case Study Strategy: Use a Logarithmic Axis to Understand Rate of Change Strategy: Normalize a Date Axis Strategy: Create a Trellis Chart Advanced Modeling Using Statistical Add-Ons Using Python Analytics Extension for Web Page A/B Testing: Squeaks Pet Supply Case Study Sentiment Analysis on Customer Reviews: Amazing Products Case Study Conclusion Chapter 9. Constructing Dynamic Analyses Parameters Using Parameters to Change Measures and Dimensions: Office Essentials Case Study Strategy: Use a Parameter to Change a Measure in a Bar Chart Strategy: Use Regex Functions to Dynamically Format a Parameterized Metric Strategy: Use a Parameter to Change the Dimension in a Bar Chart Using Parameters to Set Time Periods and Date Aggregations in Line Charts: Office Essentials Case Study Strategy: Use a Parameter to Change the Date in a Line Chart Strategy: Add Hidden Date Filters to Prevent Truncated Time Parts Using Parameter Actions to Change Trended Metrics: SAGE Digital Marketing Case Study Strategy: Change a Metric Dynamically Using Parameter Actions and Measure Names Using Parameter Actions to View Daily and 7-Day Average Value: SAGE Digital Marketing Case Study Strategy: Compute a 7-Day Moving Average Reference Line That Dynamically Changes with a Date Selection Sets and Set Actions Using Set Actions to Drill Down and Filter Data: Digital Marketing Case Study Strategy: Drill from Week to Date in a Line Chart Strategy: Expand a Section of a Data Table Animation Competitor Analysis Study: Using Animations to Compare Ranking Performance Strategy: Build an Animated Bump Chart Strategy: Create a Racing Bar Chart Conclusion Chapter 10. Advanced Data Modeling Data Modeling Strategy: Create a Calendar with Data Densification Strategy: Create Rounded Bar Charts Strategy: Create an Accordion Table Strategy: Create a Sales Funnel Market Basket Analysis Strategy: Basket Analysis Strategy: Build a Multidimension Waterfall Strategy: Layer Marks with Maps Without Making a Map Conclusion Further Reading Chapter 11. Advanced Interactivity Sheet Swapping with Parameters and Parameter Actions: Superstore Case Study Strategy: Use Parameter-Based Sheet Swapping Strategy: Use a Parameter-Action Sheet Swap Strategy: Automatically Deselect Marks Using Parameters and Parameter Actions to Create Multiple Select Parameters: Superstore Case Study Strategy: Create a Multiple-Select Parameter Swapping Metrics Using Parameter Actions: Office Essentials Case Study Strategy: Use Sheets as Buttons Adding Pagination to Tables with Parameters, Parameter Actions: Superstore Case Study Strategy: Add Table Pagination Creating Dynamic, Single-Click Drill-Throughs: Superstore Case Study Strategy: Build Drill-Through Interactivity Conclusion Further Reading Chapter 12. Building Dashboards and Data Products Dashboard Design Know Your Audience Dashboard Types Mobile Dashboard Design Design Details Strategy: Display Different Visuals for Desktop and Mobile Accessibility Dyslexia Color and Visual Impairment Formatting Consistency Rounding Numbers Axes Versus Labels Font Styling Conclusion Chapter 13. The Broader Tableau Ecosystem Data Preparation: Where and When Spreadsheets: Microsoft Excel Traditional Data Preparation: SQL Modern Data Preparation: ELT Tools Review Building a Thriving Analytics Platform Future Trends Data Journalism and the Rise of Data Storytelling Analytics Within Human Workflows Analytics as a Product Conclusion Chapter 14. Industry Frameworks Healthcare Education Elementary, Middle, and High School College and University Logistics Marketing Sales Retail Finance Conclusion Index About the Authors Colophon