000			03943nam a22002057a 4500
005			20250104145010.0
008			250102b |||||||| |||| 00| 0 eng d
020			_a9789357462952
082			_a 001.4226 _bACH
100			_aAcharya, Seema _91194
245			_aMastering data visualization using tableau
260			_bWiley India Pvt. Ltd. _aNew Delhi _c2024
300			_axxiv, 576 p.
365			_aINR _b1299.00
500			_aTable of content: Chapter 1. Introduction to Data Visualization and Tableau 1.1 Data Visualization 1.2 Need for Tableau? Chapter 2. Connecting to Data Sources 2.1 Connecting to Excel Data Source 2.2 Connect to JSON File 2.3 Connect to Text/Comma Separated Value (CSV) File 2.4 Connect to Microsoft Access Database 2.5 Connecting to RData File 2.6 Connecting to pdf File 2.7 Connecting to a Custom SQL Query 2.8 Data Joining 2.9 Data Blending 2.10 Difference Between Joins and Relationships 2.11 Is Data Blending Different from Relationships in Tableau Chapter 3. Managing Data 3.1 Grouping Data 3.2 Nested Sort 3.3 Context Filter 3.4 Calendar View 3.5 Sets 3.6 Hierarchies 3.7 Conditional Filter 3.8 Parameters 3.9 Top N and Bottom N Customers by Sales Chapter 4. Dimensions and Measures 4.1 Dimensions and Measures 4.2 Measure Names and Measure Values 4.3 Discrete and Continuous Field 4.4 Continuous Aggregate Measures 4.5 Discrete Aggregate Measures 4.6 Continuous Disaggregate Measure 4.7 Discrete Disaggregate Measures Chapter 5. Basic Chart Types 5.1 Pie Chart 5.2 Bar Chart 5.3 Line Chart 5.4 Dual Axis Chart 5.5 Scatter Plot 5.6 Heat Maps 5.7 Cross Tab Tables 5.8 Map 5.9 Histogram 5.10 Box Plot 5.11 Word Cloud 5.12 Bubble Chart 5.13 Combined or Shared Axis Charts 5.14 Gantt Chart 5.15 Pie Chart with User Defined Categories Chapter 6. Calculations in Tableau 6.1 Parts of a Calculated Field 6.2 String Functions 6.3 Number Functions 6.4 Date Functions 6.5 Logical Functions 6.6 Aggregate Functions 6.7 Aggregate vs. Disaggregate Functions 6.8 Quick Table Calculations 6.9 Level of Detail 6.10 Lookup() Function 6.11 Forecasting 6.12 Reference Line 6.13 Reference Bands 6.14 Distribution Band 6.15 Trend Line Chapter 7. Advanced Visualization I 7.1 Waterfall Chart 7.2 Funnel Chart 7.3 Pareto Chart 7.4 Donut Charts 7.5 Bump Charts 7.6 Bar in Bar Chart Chapter 8. Advanced Visualization II 8.1 Motion Chart 8.2 Benford Analysis 8.3 Sparklines 8.4 Tornado Chart or Butterfly Chart 8.5 Progress Bar Chart 8.6 Cohort Analysis 8.7 Control Chart 8.8 Bollinger Bands Chapter 9. Dashboards and Stories 9.1 Create a Dashboard 9.2 Tableau Stories 9.3 Getting Ready to Create Your First Story 9.4 Best Practices in Data Visualization Index [https://www.wileyindia.com/mastering-data-visualization-using-tableau.html]
520			_aThis is an extensive discourse on data visualization. This book provides comprehensive guidance on the practice of data visualization across diverse datasets. The learning experience transcends the mere mastery of Tableau and graph plotting, as it empowers readers to exercise careful consideration when selecting the most suitable chart or graph to effectively convey their data insights. The ability to understand, visualize, and communicate data is progressively becoming an essential skill for professionals in every field. This book serves as a detailed, step-by-step manual for crafting visualizations and incorporates numerous practical exercises to enable readers to self-assess their understanding and proficiency. (https://www.wileyindia.com/mastering-data-visualization-using-tableau.html)
650			_aVisual analytics--Data processing _920044
650			_aData visualization _912153
942			_cBK _2ddc
999			_c8081 _d8081