As far as I’m concerned, boring chart types are always in style. The problem-solving principle of Occam’s Razor states that, the simplest solution is often the best solution, and when it comes to visual analytics, it is often the case that the simplest chart type is often the best chart type. It can be easy to get distracted with unique charts, but at the end of the day, you must ask yourself, “Is my visualization reducing time to insights and increasing the accuracy of the insights?”. 

This principle is especially true when you are dealing with an audience, such as executives, who require a visualization that gets straight to the point. Line graphs are a chart type that most audiences, even non-technical users, can look at and quickly understand. This tutorial will demonstrate different methods to create line charts in Oracle Analytics Cloud using the Proxy dataset. By the end of this post, you will be able to engineer three variations of a simple line graph, learn how to enhance the data-ink ratio, and leverage Overlay Charts for better engagement.

3 Ways to Make Lovely Line Graphs in Oracle Analytics Cloud

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1. Simple line graph variations in Oracle Analytics

Simple line graph

The first line chart variation is a simple line graph with some basic formatting. In the Oracle Analytics Home dashboard, start by creating a new workbook by choosing the button at the top right that says “Create” and select “Workbook”.

Create Workbook in Oracle Analytics

If you want to follow along with the data I’m using, connect to the Sales table from the Proxy dataset by choosing “Proxy, Sales”, then select “Add to Workbook”.

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Connect to Proxy Sales data

In the Visualizations pane, click, drag, and drop Line into the canvas. 

Add Line to the canvas

Place Sales on Values, Date (Month) on Category, State/Province onto Color, and lastly, for the simplicity of the tutorial, filter to only three states by placing State/Province onto the Canvas Filters and selecting CA, FL, and KS.

Add dimension and measures

 

Simple line graph with points

Let’s build off the simple line graph by adding circles, or “Points”, to each data point. Adding points to a line graph not only looks great, but serves a practical purpose of explicitly showing us which points have data. But be careful using this technique if you are working with a “spaghetti line graph”, or a line graph with many lines, because adding points can overcrowd and confuse the view.

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In the Properties pane, choose the General tab (gear icon), then next to Show Points, choose On.

Add points to Oracle Analytics line graph

 

Simple curved line graph

Changing the line graph from a straight line to a curved line has both benefits and drawbacks. Curved lines are very easy to implement in OAC and doing so can increase engagement with your analysis as they look very clean and polished. But the drawback is that it can slightly decrease the accuracy of the graph when glancing at it as opposed to the straight lines which show exactly where each point lands. 

To implement the curved lines, choose the General tab from the Properties pane, change Show Points to Off, and change the Line Type to Curved.

Make curved lines in Oracle Analytics

 

2. Maximize the data-ink ratio 

The data-ink ratio is a concept introduced by Edward Tufte, who says you should dedicate as much ‘ink’ (i.e. pixels) on a view to the data as possible. This means getting rid of unnecessary lines, effects, and anything else that detracts from the data itself.

Opportunities to maximize the data-ink ratio in this line chart would include getting rid of unnecessary titles, redundant axis labels, and legends. In addition, maybe the stakeholder of this visualization wants to look at a specific state, or maybe there is a noteworthy insight worth highlighting. An effective way to achieve this would be to emphasize the state’s trend by utilizing the preattentive attribute of color. 

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Using the above visualization as the starting point, navigate to the Properties pane, then in the General tab, change the Title and Legend Position to None.

Next, remove the axis titles, the redundant “2024” values on the x-Axis, and add a currency label to the y-Axis. In the Axis tab, change the Title from Auto to None for both the Labels Axis and the Values Axis. Under Values Axis, change the Number Format from Auto to Currency, remove the decimal places, and add a thousand abbreviation (K). 

Format axes in Oracle Analytics

To remove the redundant “2024” from the x-Axis, navigate to Date/Time Format and change the Format to Custom. The custom format will be MMMM.

Format dates in Oracle Analytics

This is starting to look better, but now I want to highlight KS as the focal point. In the Grammar pane, choose the Color dropdown and select Manage Assignments. 

Change CA and FL to a light grey while changing the KS color to a burgundy/red.  

As you can see, the line graph is much cleaner, professional, and easier to read. Compare that to our starting point with the default line graph!

 

3. Leverage Overlay Charts for Oracle Analytics line graphs

If we’d like to make the highlight of KS even more pronounced, then we can utilize what is called an “Overlay Chart”, which allows you to leverage two chart types in a single visualization. Start by creating a new Canvas. In the Visualizations pane, drag the Overlay Chart into the canvas. 

Overlay chart in Oracle Analytics

Place Date (Month) on Category, Sales on Values, State/Province on Color, and filter the canvas to only KS. 

At the bottom of the Grammar pane, select Add Layer, and choose Area.

Add layer to Overlay chart

Place Sales on Values and State/Province on Color.

Choose Area for Overlay chart

In the Properties pane, choose the Data Layers tab. Under Data Layers, choose the Area dropdown and change Transparency to 75%. Here is how my final view looks.

Adjust the transparency in Oracle Analytics

This method of leveraging Oracle Analytics’ Overlay Chart, also known as a dual-axis combination chart, to combine an area graph with a line graph is a seamless way to elevate the design of a line graph without compromising the simplicity of the chart type.

Thanks for reading,
Dan

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