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. Although there are many predefined Tableau charts, we can use the Table calculations, calculated fields, and dual axis options to create more customized or different 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

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

Tableau Bar Chart

This Bar Chart chart is handy for comparisons. It helps to compare measures like sales against the category or country using horizontal or vertical bars. The higher the bar, the better the sale. For example, use this one to compare the Sales this year vs. previous years. The Stacked Bars chart helps divide the Horizontal Bar Chart further.

  1. Gradient Bar Chart
  2. KPI with Parameter on Bar Chart
  3. KPI using Window Average
  4. Progress Bar Chart
  5. Rounded Edges Bar Chart
  6. Side-By-Side Bars: Also called a Grouped Bar graph. Use this to compare records side by side visually.

Donut Chart

The Donut Chart or Doughnut chart looks similar to the pie chart. It helps to display the company goals, targets, etc.

Tableau Line and Area Charts

The Line Chart is helpful in displaying Trends. For example, temp at a continuous period, Sales Trends, etc. The Area Chart represents the quantitative data graphically. They both (Line & Area) look similar; the only difference is the color or area from the X-axis to the line filled in the area chart, whereas the line chart has only lines.

  1. Discrete Area Chart: Used to create a discrete area graph for quantitative data.
  2. Discrete Line Chart: Display the discrete lines.
  3. Dual Lines Chart: Helps to compare trends of multiple measures.
  4. Stepped Line Chart: Instead of the continuous lines, it shows the measure value in stepped lines.


The regular Maps Visualize the geographical information. Meanwhile, the Symbol Maps visualize the geographical information using bubbles. Please check the Map Options to change the Background and the Data Layers.

  1. Using Google Maps as the Background
  2. Mapbox Maps as a Background Map
  3. WMS Server Map as a Background Map
  4. Add Pie Chart to Maps

Pie Chart

A Pie Chart is handy for displaying High-level datasets—for example, Sales by Country, Region, etc. It also shows the steps in creating the Pie Chart using multiple measures instead of dimensions. Next, add data labels inside the pie chart, sort the pie chart, show percentages, and display multiple pies.


Tables are useful for displaying multiple columns (dimensions and measures) side-by-side to check the complete data. Tableau supports the following options, and the Formatting options article shows how to format the chart font, style, numbers, borders, background, lines, etc.

  1. Basic Sales Report
  2. Table Report
  3. Matrix or Crosstab
  4. Text Label: Use this Text label chart to create Pivot data (also called Crosstabs).
  5. Heat Map: Display the records along with colors.
  6. Highlight Table: This type of Tableau chart will help you to compare the categorical data using colors.

The following are some of the frequently asked formatting options in Tableau charts:

Remaining Tableau Charts

  1. Box and Whisker Plots: Use this Box and Whisker plot to graphically visualize numeric data by grouping specific data.
  2. Bullet Graph: Use this Tableau chart to display three-dimensional data.
  3. Bubble Chart or Packed Bubbles Graph displays the data in bubbles.
  4. Circle Views: It displays the numeric values in circles. The Tableau Side-By-Side Circle Views chart displays Circles for multiple measures
  5. Dual Combination: Helps you compare one measure against other measures.
  6. Funnel Chart or Traditional Funnel Chart helps display the data in stage-wise.
  7. Gantt: Visualize the duration of an event or activity.
  8. Histograms: It Visualizes the statistical information in the user-specified range. Please refer to the Cumulative Histogram article to design with the help of Dual Axis.
  9. Scatter Plot: The scatter plot is useful to visualize the relationship between any two sets of data
  10. Treemap: This map displays the records in Rectangle Boxes.
  11. Word Cloud displays the text where the text’s font size (text size) depends on the numeric field (measure value).
  12. Waterfall Chart: It displays the running total against the dimension.

Customized Tableau Charts

This section shows the list of charts that are available on the Tableau Desktop to create data visualization.

  1. Benford Law chart to check whether the data is real or fake.
  2. Bump Chart: It helps to visualize the rank changes over a period of time.
  3. Butterfly Chart: It helps to compare two things at the same time.
  4. Circle Timeline displays the measure (numeric) values against time in circles.
  5. Comet Chart: It looks the same as the bar with a direction where each dimension shows sales change over two periods.
  6. Control Chart: It is used to study the numbers over a time period – for instance, sales, orders, and profit by time.
  7. Dot Plot: It represents the individual data points in the graph, where each dot represents the value.
  8. Lollipop: It shows the horizontal or vertical lines and the circle at the endpoint.
  9. Pareto Chart: It helps to check whether the data meets the 80/20 percentage rule or not.
  10. Pyramid Chart: It helps to show the numbers in sections or stages.
  11. Radar Chart: It is useful to find the performance of the key categories or items by checking whether the measure values are high or low against the common center point.
  12. Sunburst Chart: Create using the Dual axis approach and MAKEPOINT function in the map.