Upon completion of this lab, you will be able to:
- Load and integrate datasets into Tableau for analysis.
- Differentiate between and appropriately assign measurements and dimensions within Tableau.
- Construct insightful barplots to compare categorical data.
- Design a treeplot to visualize hierarchical data.
- Synthesize cross tables to examine relationships between two categorical variables.
- Assemble a comprehensive dashboard that encapsulates multiple facets of the dataset.
- Save your Tableau workbook for future reference and sharing.
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Data Import: Begin by loading the dataset
we_fn_use_c_marketing_customer_value_analysis.csvavailable here into Tableau. -
Gender Barplot: Create a barplot to visualize the distribution of customers by Gender.
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Employment and Gender Barplot: Construct a barplot that represents the number of customers by EmploymentStatus segmented by Gender.
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Measurements vs. Dimensions: Review the Measurements and Dimensions identified by Tableau. Adjust them if necessary to ensure they match your data structure and analysis needs.
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Gender Barplot Sheet: Develop a sheet dedicated to displaying the barplot of customer counts by Gender.
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Employment and Gender Barplot Sheet: Prepare a separate sheet to showcase the barplot of customer counts by EmploymentStatus and Gender.
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State Treeplot Sheet: Create a sheet with a treeplot (also known as a treemap) illustrating the number of customers in each State.
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Marital Status and Gender Cross Table: Generate a cross table that breaks down the customers by Marital status and Gender.
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Dashboard Assembly: Compile all the created sheets into a single, interactive dashboard for an integrated view of the data insights.
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Save Your Work: Preserve your Tableau workbook by saving it as
tableau-lab.tbwx.