Upon completion of this lab, you will be able to:
- Create a Choropleth map to analyze geographical data.
- Construct and interpret a regression plot to understand the relationship between two quantitative variables.
- Utilize boxplots to compare distributions and identify outliers in the context of vehicle size categories.
- Assemble a comprehensive dashboard that incorporates a variety of chart types.
- Craft a story in Tableau that summarizes your analytical findings.
Continue your exploration of Tableau's advanced visualization capabilities using the tableau-lab.tbwx from the previous lab.
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Choropleth Map: Design a Choropleth map sheet to display the distribution of customers across different States. Utilize color density to represent the number of customers, providing an at-a-glance view of regional customer bases.
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Regression Plot: Develop a regression plot sheet that examines the relationship between Customer Lifetime Value and Income. Interpret the regression line to understand how these variables correlate.
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Boxplot Analysis: Create a boxplot sheet that relates Total Claim Amount to Vehicle Size. Use this visualization to assess the spread of claim amounts and identify any outliers by vehicle size category.
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Dashboard Creation: Combine the above charts into a unified dashboard. Ensure that the dashboard is organized and allows for interactive exploration of the data.
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Story: Synthesize your analysis into a Tableau story. Construct a narrative that guides viewers through your key findings, providing context and insights drawn from the visualizations.