Tableau Charts

Tableau Charts are useful for analyzing the data as per the business requirements. To analyze the data, some companies might be interested in Tables, and others may be in Bar graphs, Maps, Trends, etc. There are various built-in charts in Tableau to visualize the records. In this article, we will show you the list of available Charts.

Tableau Charts Types

Tableau is all about creating vibrant and user-friendly reports or charts using a wide variety of Data Sources. The list of available types.

Tableau Charts 1

And the detailed list of Charts in Desktop is shown below. The below-specified headings are Hyperlinks, so clicking on them will show you a particular example.

  1. Text Label: Use this Text label to create Pivot data (also called Crosstabs)
  2. Heat Map: Display the records along with colors.
  3. Highlight Table: This type of Tableau chart will help you to compare the categorical data using colors.
  4. Symbol Maps: Visualize the geographical information using bubbles.
  5. Maps: Visualize the geographical information.
  6. Pie: It is handy to display the High-level datasets. For example, Sales by Country, Region, etc.
  7. Horizontal Bars: This chart is handy for comparisons. For example, use this one to compare the Sales this year vs. previous years.
  8. Stacked Bars: This chart is helpful for dividing the Horizontal Bars further
  9. Side-By-Side Bars: Also called a Grouped Bar graph. Use this to compare records side by side visually.
  10. Treemap: This map displays the records in Rectangle Boxes.
  11. Circle Views: It displays the numeric values in circles.
  12. Side-By-Side Circle Views: This Tableau chart display Circles for multiple measures
  13. Line: Use this to display Trends. For example, temp at a continuous period, Sales Trend, etc.
  14. Discrete Lines: Display the discrete lines
  15. Dual Lines: Helps to compare trends of multiple measures.
  16. Area Chart: Used to represent the quantitative data graphically.
  17. Discrete Area: Used to create a discrete area graph for quantitative data.
  18. Dual Combination: Helps you to compare one Measure against Other measures.
  19. Scatter Plot: The scatter plot is useful to visualize the relationship between any two sets of data
  20. Histograms: Visualize the statistical information in the user-specified range.
  21. Box and Whisker Plots: Use this Box and whisker plot to graphically visualize numeric data by grouping specific data.
  22. Gantt: Visualize the duration of an event or activity.
  23. Bullet Graph: Use this chart for displaying three-dimensional data.
  24. Packed Bubbles Graph: Displays the data in bubbles