Ask Bookie
{
"item_title" : "Pro Tableau",
"item_author" : [" Seema Acharya", "Subhashini Chellappan "],
"item_description" : "Table of contentChapter 1: Introducing Visualization and TableauWhy Visualization?What is Visualization?Positioning of TableauTableau product linesFile types in Tableau.twb.twbx.tds.tdsx.tde.tbmChapter 2: Working with Single and Multiple Data SourcesDesktop ArchitectureData Connection PageConnect to a FileExcelOpen with legacy connectionTextMicrosoft AccessR data file (.rdata)Connect to a ServerMicrosoft SQL ServerMySQLNoSQL Databases (MongoDB, Cassandra)Metadata GridUsing Data ExtractsAll about JoinsUsing Custom SQLUsing Data BlendingChapter 3: Simplifying and Sorting your DataFiltering on dimensions and measuresSoring on single dimension - Primary sortSorting on more than one dimension - Secondary SortSlicing your data by dateDiscrete datesContinuous datesOrganizing your dataGroupsHierarchiesSetsStatic setsDynamic setsDifference between groups and setsChapter 4: Measure Values and Measure NamesUsing measure values and measure names in a viewChapter 5: Using Quick Table Calculations in TableauRunning TotalPercent of TotalPercentileRankMoving averageYear over Year GrowthLevel Of Detail (LOD) calculationsChapter 6: Customizing your DataString CalculationsNumber CalculationsDate CalculationsLogical CalculationsChapter 7: StatisticsDescriptive StatisticsSumAverageMinMaxCountCount(distinct)MedianStandard DeviationVarianceUsing the Analytics PaneConstant LinesAverage LinesFive magical number summaryBox and whisker plotTrend LinesForecastChapter 8: Chart FormsBar ChartPie chartLine graphScatter PlotHistogramHeat MapTree MapHighlight TableChapter 9: Advance Visualization MethodsWaterfall ChartsGantt ViewBullet GraphChapter 10: Dashboard and StoriesCreating an interactive dashboardAdding Actions to your dashboardTelling stories with dataChapter 11: Integration of R with TableauFunctions such as (SCRIPT_INT(), SCRIPT_REAL(), SCRIPT_BOOL(), SCRIPT_STR())Data MiningAffinity AnalysisK-means Clustering",
"item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/48/422/351/1484223519_b.jpg",
"price_data" : {
"retail_price" : "84.99", "online_price" : "84.99", "our_price" : "84.99", "club_price" : "84.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Pro Tableau : A Step-By-Step Guide
Overview
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
- Box and whisker plot
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
- 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
Customers Also Bought
- 1
Details
- ISBN-13: 9781484223512
- ISBN-10: 1484223519
- Publisher: Apress
- Publish Date: December 2016
- Dimensions: 10 x 7 x 1.73 inches
- Shipping Weight: 3.27 pounds
- Page Count: 845
Related Categories
You May Also Like...
- 1
