Summary  
This chapter covers box plots, a visualization method that summarizes numerical data distributions by displaying quartiles, the median, whiskers for data ranges, and highlighting outliers.

General domain of usage  
Exploratory data analysis

A **box plot** in Tableau provides a compact visualization of the distribution and variability of numerical data, highlighting key statistics like the median, quartiles, and outliers. This chart type is particularly effective for identifying patterns, **spotting outliers**, and comparing data distributions across categories.  

A box plot typically consists of the following components:

## Data Insights from Box Plots  

To read a box plot correctly, pay attention to the following points:

- If the box is short and the whiskers are short, this may indicate that the data is concentrated in a **narrow range and has few outliers**:


- If the whiskers are long, this may indicate a **large scatter** of data and the presence of outliers:

- If the median is offset from the center line of the box, this may indicate a **skewed distribution**:

Finding points behind the whiskers helps identify **outliers and potential anomalies** in the data.

What do points outside whiskers in a box plot help identify?

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.