Summary  
This chapter explains how to implement a stacked area chart by mapping data values to the horizontal and vertical axes, stacking colored category areas to show each category’s contribution and overall trends over a sequence.  

General domain of usage  
Time-series trend analysis (e.g., tracking sales across product categories)

A **stacked area chart** in Tableau is an effective visualization for showing changes in data over time while highlighting the contribution of each category to the total value. It is especially useful when analyzing **trends and proportions** within the overall dataset.  

Here the key features of stacked area charts:

## Why Stacked Area Charts?  

Stacked Area Charts are particularly useful for:  
- Tracking changes in data over time across multiple categories;  
- Visualizing the proportions and contributions of individual categories;  
- Analyzing trends within a dataset while maintaining visibility of the total values.

This corse provides a comprehensive introduction to Tableau's core features, empowering learners to create impactful data visualizations and dashboards. We will cover essential topics such as working with charts, filters, calculated fields, and parameters, as well as advanced techniques like combining data and creating interactive dashboards. By the end, you will have the skills to transform raw data into actionable insights with ease and confidence.

This section lays the groundwork for mastering Tableau by guiding you through installation, navigation, and foundational operations. From performing joins and splitting columns to understanding filters, marks, and the data pane, you will be equipped with essential tools for data exploration and visualization. 

This section delves into Tableau's powerful tools for data organization, filtering, and customization. You'll learn to differentiate dimensions and measures, work with continuous and discrete fields, and create calculated fields and interactive dashboards. Through practical challenges, you'll apply these tools to analyze data, uncover insights, and enhance your visualizations.

This section focuses on creating impactful visualizations to uncover patterns and trends in your data. From heatmaps and scatter plots to treemaps and combination charts, you'll explore a variety of chart types tailored to different analytical needs.

This section introduces advanced visualization techniques to enhance data analysis and storytelling. You'll learn to create bullet graphs, stacked area charts, histograms, and box plots, enabling deeper insights into trends, distributions, and comparisons.