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#ADVANCED WATERFALL CHART TABLEAU SERIES#

To generate the map, drag Sales in Million over Color and Size and Region and Product into Columns and Rows regions respectively.

The following heat map has been generated for Product-wise regional sales data.

They can act as a powerful tool that incorporates the heat-intensity concept for visualization. The intensity of the color shows the contribution of the category.

Heat maps are used when we have numerous categories that need to be compared over a measure.

Note, different quarters have been represented by different colors. Here, the size of the bubble represents the magnitude of the measure.

Click on Bubble Chart option in Show Me.

First Drag Product into Columns and then drag Sales into Rows.To generate the above Bubble Chart, follow the below steps:.It becomes handy when we have multiple dimensions over which we want to generate useful insights against a certain measure. As the name goes, the chart presents the data in bubble form.The color intensity varies based on the value. Here, the West region has the highest sales represented by the darkest shade and the biggest rectangle. As we can see the value of the measure governs the intensity of the color and size.Drag Distribution Volume over Color, Size, and Label one at a time. To generate a treemap, drag Region over Label. We’ll use the data that we used in the previous example. Based on the proportion of the data, the intensity of color and size varies. These visualizations apply size and color considerations over data.Keep the above pie chart intact, and just drag Mode into Columns region, it gives details about quantity distributed to various regions by two different modes as seen below:.

To generate the below pie chart, drag Region into Columns and Distribution Volume into Rows and click on Pie Charts in Show Me. The contributions are represented by sectors of the circle. we may like to see each region’s contribution to total sales.

These are useful when we want to visualize the proportion of total contribution, e.g.Drag City over Color and Label in Marks card. Drag Date into Columns region and Temperature in Celsius into Rows region. The data source for the above Area Chart contains daily temperature data for two cities for September 2018.If we want to compare categories against a measure over a period of time, the area chart helps understand the difference in terms of the magnitude represented by the area in the graph. These charts work on quantitative data which is present period wise i.e.As we can see in the Columns region, Tableau automatically applied various periodic functions over-dimension Date. For the Line chart, select lines (discrete) option. There are multiple options for charts.The following line chart shows the daily temperature pattern. Line charts depict a pattern or trend that we may like to visualize for analysis.

#ADVANCED WATERFALL CHART TABLEAU SERIES#

It displays the data in the form of the line which is a series of points.

Graph type can be changed from the drop-down menu in the Marks card.

Bringing Distribution Volume into Columns and Region into rows has changed the bar graph into horizontal form.

It generates the vertical Bar Chart showing Region-wise Distribution Volume for a product.

As seen above, Drag the region into the Columns region and Distribution Volume into Rows region.

The height of bars corresponds to the value of the measure (Distribution Volume). Various categories are represented in the form of bars.

This chart helps to visualize measures against a dimension.