How to Create Pie charts, Scatter plot,Area Fill charts and Circular View in Tableau
How to Create Pie charts, Scatter plot, Area Fill charts and Circular View in Tableau
This article has been presented to guide you through a few visualization charts used in Tableau to analyse data at a greater level. The topics include how to create pie charts, scatter plot, Area Fill charts and Circular View in Tableau.
Area Fill Charts and Pie Charts:
Compare the value of each kind of chart for displaying the information. All three charts are plotting the same data using Show Me to create the charts.
- The line chart is ideal for when you want to illustrate trends over time. To use the line chart, you must have a date field. Each colored line represents a different sales region.
- The area chart is a combination between a line graph and a stacked bar chart. It shows the relative proportions of totals or percentage relationships. By stacking the volume beneath the line, the chart shows the total of the fields as well as their relative size to each other.
- Pie charts are among the most popular, if terribly overused, charts in business presentations. They are best suited to show proportional or percentage relationships. When used in the right circumstance, pie charts can quickly show the relative value to the other data points in the measure.
Continuous line chart, area fill chart, pie charts Diagram:
The line chart facilitates accurate comparison of the relative sales by category. Since the area fill chart plots sales values as bands, it is easy to misinterpret the top band as being the largest value in the set. Area fill charts are best used for plotting a single dimension to avoid misunderstanding. Pie charts should be used for getting a general sense of magnitude and not for precise comparisons. A more effective use of a pie chart and area fill chart is provided in the below diagram.
Pie chart and area fill chart diagram:
By limiting the area fill chart to one dimension on each axis and using a pie chart with only three slices— the combination of chart types presents the information effectively. The pie chart acts as a filter for the area fill chart in diagram. If you have limited space and are sure that your pie slices won’t be tiny, pie charts can be used effectively as filters.
Scatter Plot, Circle View and Side-by-Side Circle Plots:
Enabling analysis of granular data across multiple dimensions, scatter plots, circle views and side-by-side circles can be used to identify outliers.
- The scatter plot, also known as a scatter diagram, scatter chart, scatter gram or scatter graph, is useful to compare two different measures for patterns. Like the circle view and the side-by-side circle chart, the scatter plot also uses symbols to visualize data. The big difference with a scatter plot is that both axes in the chart are measured rather than dimensions (one measure on the Column shelf and another measure on the Row shelf).
- The circle view is another powerful visualization for comparative analysis. The example below in Figure 1 has quite a bit of information packed into a single visualization. First, you can see that we are examining the sales figures for each product category.
- The side-by-side circle view is a variant of the circle view. The side-by-side circle allows you to add more measures to be compared next to each other for a richer analysis. To examine the side-by-side circle view, let’s take a hypothetical retail company and use our visualizations to conduct an analysis.
Scatter plot, circle view, side-by-side circle view diagram:
All three charts in the above diagram are plotting over four thousand marks in a very small space. The scatter plot uses two axes for comparing profit and shipping cost. Color and shape provide insight into two dimensions. Size isn’t being used in the example, but could be used for a third measure. The circle view uses one axis to plot a single measure. In both circle plots, size is used to denote the shipping cost amount. The side-by-side chart provides a more granular breakdown of the product categories.