Meritshot Tutorials
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
Pie Chart
What is a Pie Chart?
A pie chart displays data as slices of a circle, where each slice represents a category’s proportion of the whole. It is ideal for showing the relative sizes of different categories within a total.
How to Read Pie Charts
To interpret a pie chart:
- Slice Size: Each slice’s size represents the proportion of the category.
- Order of Slices: Arrange slices from largest to smallest for clarity.
- Colors: Ensure that slice colors match the legend for easy identification.
What Type of Analysis Do Pie Charts Support?
Pie charts are suitable for:
- Proportional Analysis: Showing how each category contributes to the whole.
- Highlighting Dominant Categories: Making it easy to see which category has the largest share.
When and How to Use Pie Charts for Visual Analysis
Best Practices:
- Limit Slices: Use no more than 5-6 slices to avoid clutter.
- Order Slices: Arrange from largest to smallest for better readability.
- Direct Labels: Attach labels to slices for immediate context.
Common Mistakes:
- Too Many Slices: Can make the chart confusing and hard to interpret.
- 3D Effects: Distorts perception and can mislead the viewer.
- Overuse of Legends: Makes it harder to quickly understand the chart.
Steps to Create a Pie Chart:
- Connect to Data:
- Connect to your dataset, which could include categories and corresponding sales data.
- Drag Fields to the View:
- Drag the Category field to the Columns shelf.
- Drag the Sales field to the Rows shelf.
- Convert to Pie Chart:
- On the Marks card, select Pie from the dropdown menu.
- Customize the Pie Chart:
- Drag the Category field to the Color option on the Marks card to differentiate the slices by category.
- Drag the Sales field to the Angle option to represent the size of each slice accurately.
- You can also add labels by dragging the Category field to the Label option on the Marks card.
Frequently Asked Questions
Q: What should I do if my pie chart has too many categories?
A: If there are too many slices, consider using a bar chart or stacked bar chart instead, which can handle more categories more effectively.
Q: How can I avoid misleading viewers with a pie chart?
A: Ensure that slices represent accurate proportions and avoid 3D effects that can distort the visual perception of the data.
Q: Is it okay to use a pie chart for data with negative values?
A: No, pie charts are not suitable for negative values or data that does not sum to a whole. Consider using a bar or line chart for such data.
