The spline chart template provides the same information as the line chart or series chart instead of a step feature. These charts can be used for plotting data and are also greatly used in making Pareto charts. Generally, the chart is used to highlight the movement in data over an equal time interval. A spline chart is a modified form of line and area chart in which data points are connected with fitted curves rather than straight lines. It is also referred to as a curve line chart. The chart displays smooth curves along different data points and approximates the values between data points.
Importance of Spline Chart:
They are also referred to as curved or smooth charts as they consist of smooth curves. It is best to use when you want to show smooth, gradual changes. You can use this type of chart for plotting data that flows with time, for example, energy or temperature. You can change its background color to make it more attractive. They are also used in designing Pareto charts. If chart data is not at a particular point, then it is called a broken data set. The main difference between a spline and a line chart is that it uses fitted curved lines to join the data points.
Advantages of Spline Chart
There are various advantages of spline chart templates which are of great assistance to individuals. As was discussed earlier, spline charts contain all the characteristics of a conventional line chart. Therefore, it is an extension or the advanced form of line chart. But in line charts, different points are connected with straight lines. Spline charts draw a fitted curved line to join the data points. When we are required to summarize data that does not have gradual, increasing or decreasing, these kinds of graphs can be used. For example, it is also significantly used in designing pareto charts.
Details of Spline Chart Template
All spline chart templates must have some unique and descriptive title so that they provide a general overview of what is being displayed. The x-axis of the chart displays the events and categories being compared over time, while the y-axis displays the set of numbers that shows the data that is organized into equal intervals. Several data series are also plotted on the same spline chart and this is especially useful for analysis and comparing the trends in various data sets. Mostly, these charts are extremely helpful for identifying patterns and trends in data such as seasonal effects, large changes and turning points.
