When to use a Column + Line Timeline Chart?

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A column and line timeline chart, also known as a combination chart, is a type of chart that combines both column and line chart types in order to display multiple sets of data on the same chart. This type of chart is particularly useful when comparing data over time and when displaying data that has both a quantitative and a qualitative aspect.

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Tableau Column + Line Timeline Chart
Tableau Column + Line Timeline Chart

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Column charts are commonly used to display data that can be divided into categories, such as the number of sales by product category or the number of visitors to a website by referral source. Line charts, on the other hand, are often used to display data that changes over time, such as stock prices or temperature trends.

By combining these two chart types into a single chart, it is possible to display both categorical data and data that changes over time on the same chart. This allows for a more comprehensive and accurate representation of the data, as well as a more efficient use of space on the chart.

To create a column and line timeline chart, the data must first be organized into two sets: one set for the column data and one set for the line data. The column data should be organized into categories, while the line data should be organized by time.

Once the data is organized, the chart can be created by selecting a column chart type and a line chart type and then plotting the data on the chart. The column data should be plotted on the chart as columns, while the line data should be plotted as a line.

It’s important to note that the scales of the y-axis must be chosen carefully, because if the scales are too different, the chart will be difficult to read and interpret. Also, the colors and labels used for the columns and lines must be chosen in a way that makes it easy to differentiate between the two sets of data.

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In conclusion, a column and line timeline chart is a powerful tool for displaying data that has both a quantitative and a qualitative aspect. By combining the strengths of column and line charts, it is possible to create a chart that is both comprehensive and easy to understand. It allows to compare categories and changes over time in one single chart.


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Published by Rahul Bhattacharya

Rahul is a journalist with expertise in researching a variety of topics and writing engaging contents. He is also a data analyst and an expert in visualizing business scenarios using data science. Rahul is skilled in a number of programming languages and data analysis tools. When he is not busy writing, Rahul can be found somewhere in the Appalachian trails or in an ethnic restaurant in Chicago.

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