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Pro Tableau : A Step-by-Step Guide - Seema Acharya

Pro Tableau

A Step-by-Step Guide

By: Seema Acharya, Subhashini Chellappan

Paperback | 24 December 2016

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Table of content

Chapter 1: Introducing Visualization and Tableau

  • Why Visualization?
  • What is Visualization?
  • Positioning of Tableau
  • Tableau product lines
  • File types in Tableau
    • .twb
    • .twbx
    • .tds
    • .tdsx
    • .tde
    • .tbm

Chapter 2: Working with Single and Multiple Data Sources

  • Desktop Architecture
  • Data Connection Page
  • Connect to a File
    • Excel
    • Open with legacy connection
      • Text
      • Microsoft Access
      • R data file (.rdata)
  • Connect to a Server
    • Microsoft SQL Server
    • MySQL
    • NoSQL Databases (MongoDB, Cassandra)
  • Metadata Grid
  • Using Data Extracts
  • All about Joins
  • Using Custom SQL
  • Using Data Blending
  • Chapter 3: Simplifying and Sorting your Data

    • Filtering on dimensions and measures
    • Soring on single dimension - Primary sort
    • Sorting on more than one dimension - Secondary Sort
    • Slicing your data by date
      • Discrete dates
      • Continuous dates
    • Organizing your data
      • Groups
      • Hierarchies
      • Sets
        • Static sets
        • Dynamic sets
        • Difference between groups and sets

    Chapter 4: Measure Values and Measure Names

    • Using measure values and measure names in a view

    Chapter 5: Using Quick Table Calculations in Tableau

    • Running Total
    • Percent of Total
    • Percentile
    • Rank
    • Moving average
    • Year over Year Growth
    • Level Of Detail (LOD) calculations

    Chapter 6: Customizing your Data

    • String Calculations
    • Number Calculations
    • Date Calculations
    • Logical Calculations

    Chapter 7: Statistics

    • Descriptive Statistics
      • Sum
      • Average
      • Min
      • Max
      • Count
      • Count(distinct)
      • Median
      • Standard Deviation
      • Variance
    • Using the Analytics Pane
      • Constant Lines
      • Average Lines
      • Five magical number summary
        • Box and whisker plot
          • Trend Lines
          • Forecast

    Chapter 8: Chart Forms

    • Bar Chart
    • Pie chart
    • Line graph
    • Scatter Plot
    • Histogram
    • Heat Map
    • Tree Map
    • Highlight Table

    Chapter 9: Advance Visualization Methods

    • Waterfall Charts
    • Gantt View
    • Bullet Graph
    Chapter 10: Dashboard and Stories

    • Creating an interactive dashboard
    • Adding Actions to your dashboard
    • Telling stories with data

    Chapter 11: Integration of R with Tableau

  • Functions such as (SCRIPT_INT(), SCRIPT_REAL(), SCRIPT_BOOL(), SCRIPT_STR())
  • Data Mining
    • Affinity Analysis
    • K-means Clustering
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