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Tableau Tutorial
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Overview of TableauOverview of Tableau
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Key Features and Benefits of TableauKey Features and Benefits of Tableau
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Tableau Desktop vs. Tableau Online vs. Tableau ServerTableau Desktop vs. Tableau Online vs. Tableau Server
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Navigating the Tableau InterfaceNavigating the Tableau Interface
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Intro to Charts in TableauIntro to Charts in Tableau
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Introduction to Calculated FieldsIntroduction to Calculated Fields
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Common Calculations (e.g., Profit Margins, Growth Rates)Common Calculations (e.g., Profit Margins, Growth Rates)
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Best Practices for Calculated FieldsBest Practices for Calculated Fields
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Bar ChartBar Chart
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Overview of Table CalculationsOverview of Table Calculations
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Common Table Calculations (e.g., Running Total, Percent of Total)Common Table Calculations (e.g., Running Total, Percent of Total)
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Customizing Table CalculationsCustomizing Table Calculations
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Line ChartLine Chart
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Aggregations in TableauAggregations in Tableau
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Best Practices for AggregationBest Practices for Aggregation
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Pie ChartPie Chart
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Granularity in TableauGranularity in Tableau
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Adjusting Granularity in Your VisualizationsAdjusting Granularity in Your Visualizations
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Examples of Granularity in Different ScenariosExamples of Granularity in Different Scenarios
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Scatter Plots in TableauScatter Plots in Tableau
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Level of Detail (LOD) ExpressionsLevel of Detail (LOD) Expressions
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Different Types of LOD Expressions (Fixed, Include, Exclude)Different Types of LOD Expressions (Fixed, Include, Exclude)
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Practical Use Cases and ExamplesPractical Use Cases and Examples
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HistogramsHistograms
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Customizing Charts (Colors, Labels, Axes)Customizing Charts (Colors, Labels, Axes)
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Introduction to Geographic DataIntroduction to Geographic Data
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Creating and Refreshing Extracts in TableauCreating and Refreshing Extracts in Tableau
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Benefits of Using Extracts vs. Live ConnectionsBenefits of Using Extracts vs. Live Connections
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Creating Basic MapsCreating Basic Maps
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Creating Interactive Filters (Dropdowns, Sliders)Creating Interactive Filters (Dropdowns, Sliders)
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Using Filter Actions in DashboardsUsing Filter Actions in Dashboards
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Customizing Maps (Layers, Annotations, Map Styles)Customizing Maps (Layers, Annotations, Map Styles)
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Introduction to DashboardsIntroduction to Dashboards
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Designing and Building DashboardsDesigning and Building Dashboards
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Adding Interactivity (Actions, Filters)Adding Interactivity (Actions, Filters)
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Using Map FiltersUsing Map Filters
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Creating a Tableau StoryCreating a Tableau Story
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Designing Storyboards for Effective CommunicationDesigning Storyboards for Effective Communication
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Formatting in TableauFormatting in Tableau
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Customizing Appearance (Colors, Borders, Fonts)Customizing Appearance (Colors, Borders, Fonts)
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Best Practices for Dashboard FormattingBest Practices for Dashboard Formatting
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Principles of Effective Data VisualizationPrinciples of Effective Data Visualization
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Understanding Data Types and Data StructureUnderstanding Data Types and Data Structure
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Choosing the Right Visualization for Your DataChoosing the Right Visualization for Your Data
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Creating and Formatting ReportsCreating and Formatting Reports
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Adding Filters and Parameters to ReportsAdding Filters and Parameters to Reports
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Publishing and Sharing ReportsPublishing and Sharing Reports
Common Calculations (e.g., Profit Margins, Growth Rates)
Common calculations in Tableau help you extract actionable insights by performing standard business metrics calculations. These calculations are crucial for financial analysis, performance tracking, and strategic decision-making.
Detailed Examples of Common Calculations
- Profit Margins:
- Definition: The profit margin percentage shows how much profit is made from sales after accounting for costs.
- Formula: ([Profit] / [Sales]) * 100
- Example: If total sales are $10,000 and profit is $2,000, the profit margin would be: ($2,000 / $10,000) * 100 = 20%
- Growth Rates:
- Definition: Measures the percentage increase or decrease in a value over time.
- Formula for Year-Over-Year Growth Rate: (SUM([Current Year Sales]) – SUM([Previous Year Sales])) / SUM([Previous Year Sales]) * 100
- Example: If current year sales are $12,000 and previous year sales were $10,000: ($12,000 – $10,000) / $10,000 * 100 = 20%
- Customer Lifetime Value (CLV):
- Definition: Estimates the total revenue a business can expect from a customer over their lifetime.
- Formula:
[Average Purchase Value] * [Average Purchase Frequency] * [Customer Lifespan]
- Example: If a customer’s average purchase value is $50, purchase frequency is 4 times a year, and lifespan is 5 years: $50 * 4 * 5 = $1,000
- Average Sales per Transaction:
- Definition: Calculates the average revenue generated per transaction.
- Formula:
SUM([Sales]) / COUNT([Transaction ID])
Example:
If total sales are $20,000 from 400 transactions:
$20,000 / 400 = $50
Frequently Asked Questions
Q1: What is the difference between gross profit and net profit?
A1: Gross profit is the revenue remaining after subtracting the cost of goods sold (COGS), while net profit is the amount left after subtracting all expenses, including operating expenses, taxes, and interest.
Q2: How do I calculate the year-over-year growth rate accurately?
A2: Use the formula:
((SUM([Current Year Sales]) – SUM([Previous Year Sales])) / SUM([Previous Year Sales])) * 100
This measures the percentage change from one year to the next.
Q3: Can I calculate percentage growth for multiple periods at once?
A3: Yes, you can create a calculated field that dynamically adjusts for different periods using Tableau’s date functions and relative date filters.
Q4: How can I calculate moving averages in Tableau?
A4: Use the WINDOW_AVG() function in a calculated field to compute moving averages over a specified range of data points.
Q5: What is the difference between absolute growth and relative growth?
A5: Absolute growth measures the actual change in value (e.g., $1,000 increase), while relative growth measures the percentage change relative to the initial value (e.g., 10% increase).
Q6: How can I use calculated fields to compare performance metrics across different categories?
A6: Create calculated fields that compute metrics like average sales or profit margins and then use these fields in visualizations to compare performance across categories.