Tableau is the vast visualization tool. Tableau charts only not included drag & drop options of charts, but also users can design numbers of good visualization charts based on mathematical calculations also.
Tableau provides a variety of charts, each suited to different types of data analysis and storytelling. Below is a breakdown of the most commonly used Tableau chart types and their purpose:
| Charts | Purpose | Example |
|---|---|---|
| Bar Chart | Bar chart use to compare categories | Comparing sales across different product categories |
| Line Chart | Line chart is very useful to track trends over time | Analyzing website traffic or stock prices over a period of time. |
| Pie Chart | Show parts of shares, e.g., market share by competitor. | Market share distribution among competitors |
| Scatter Plot | This chars shows relationships between two continuous variables. | Comparing customer age vs. spending behavior |
| Area Chart | Area chart use for to compare trends and magnitude over time. | Cumulative sales performance across different months |
| Histogram | Display distribution of data within specified ranges. | Examining the distribution of customer age in your database |
| Tree Map | Tree map chart shows hierarchical data in nested categories. | Showing revenue by category and subcategory |
| Heat Map | Charts visualize intensity or patterns in data with colors. | A heat map showing customer activity by day of the week and time of day |
| Bullet Chart | Measure performance against a target or benchmark. | Displaying sales performance compared to target sales |
| Box Plot | Box Plot chart use to show statistical distribution | Comparing the distribution of exam scores across different student groups |
| Waterfall Chart | Use to display sequential data | Visualizing profit and loss during a financial period |
| Gantt Chart | Very useful to show and visualize project schedules and task progress. | Showing task duration and progress in a project |
| Stacked Bar Chart | Chart use to display part to whole relationships across categories. | Showing total sales for each region, broken down by product type |
| Dual-Axis Chart | This chart use to compare two different measures with different scales. | Comparing sales revenue (bar chart) with the number of units sold (line chart) over time |
| Funnel Chart | Visualize stages in a process or conversion funnel. | Showing the number of leads converted at each step in the sales process |
| Pareto Chart | Pareto Chart Identify the most significant factors (80/20 rule). | Analyzing the top causes of customer complaints that account for 80% of the issues |
| Symbol Map | Plot geographical data with size variations. | Showing sales by city, where the size of each city marker represents sales volume |
| Filled Map | Show data distribution across geographic regions. | Showing population density across different countries |
Each of these charts types serves a specific purpose and can help you identify the insights in a clear and visually compelling way. The conclusion is to choose the chart type that best suits for your data and the story you want to tell through the Tableau visualization or charts.