Course Content
Tableau Fundamentals
Tableau Fundamentals
1. Introduction to Tableau
2. Tools in Tableau
Dimensions and MeasuresChallenge: Comparing Sales and Profit by StateContinuous and Discrete FieldsChallenge: Identifying the Month with Lowest SalesDimension Filters Measure FiltersChallenge: Finding the Most Profitable Customer in ArtCalculated FieldsChallenge: Comparing California and New York to Other StatesInteractive Dashboards with ParametersChallenge: Finding the Sub-Category with the Most SalesWorking with Sets Challenge: Analyzing Bookcase Profit ConcentrationSets Applications
3. Basic Visualizations
Visualizing Data with HeatmapsChallenge: Identifying Top-Selling Sub-Category by RegionScatter PlotsChallenge: Determining the Highest Sales and Profit by StateTreemapsChallenge: Analyzing the Least Profitable Sub-CategoryCombination ChartsChallenge: Comparing Sales and Profit Trends for PhonesSparklines
Visualizing Data with Heatmaps
Heatmaps in Tableau are a powerful way to visualize data using color intensity to represent the magnitude of values. They help uncover patterns and trends within large datasets, making them easier to analyze and interpret.
Key Features of Heatmaps
- Color Grading: each cell in a heatmap represents a combination of two dimensions (e.g., days and hours), with color intensity indicating the value magnitude;
- Interactivity: hover over cells to view exact values, and apply filters or parameters for deeper analysis;
- Pattern Identification: quickly compare values across categories and identify trends, such as peak sales periods or underperforming regions.
Why Heatmaps?
Heatmaps are especially useful when analyzing large datasets. They highlight key points and patterns, such as:
- Identifying high-performing regions or time periods;
- Spotting trends and outliers in sales, profits, or other metrics.
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Section 3. Chapter 1
