How To Create a Stacked Chart

Data visualization is a key element of business data management in almost every industry. While having the information is the key to ensuring the accuracy of the details and information, it is important that you also be able to present these findings clearly. This is where charts and graphs come into play. However, it is very easy to confuse these presentations with fuzzy lines and icons everywhere. A clear graph can be a lifeline to really show the points you are trying to make.

What are stacked graphs?

Clear representation of numerical values ​​in any capacitance is required for any graph or graph, including stacked graphs. ONE stacked graph is a type of bar graph that shows the synthesis and comparison of certain variables, relative or absolute, over time. Also known as stacked bar or column charts, they are designed to look like a series of bars or columns stacked on top of each other. These charts are an incredibly effective tool, designed to compare total values ​​across multiple categories.

There are two main variants of these graphs: horizontal stack bar graphs and percentage stack bar graphs. Horizontal charts generally run from left to right, helping viewers see multiple sets. This means that the data can be displayed on a screen, instead of scrolling up and down to compare information. A stacked bar graph is scaled to 100 percent so that each bar is the same height, making it more difficult to analyze the main category totals, but much easier for the secondary distributions. These same graphs are displayed vertically in columns as well.

What is the best way to create these graphs?


Bar graphs and stacked graphs can be accessed in a similar manner. The difference is the addition of another categorical variable. When working with stacked area charts, scale consistency is key. The axis must start from scratch and be consistent regardless of the type of graph. Clear marking is also important to make sure that readers clearly understand the characteristics of the graph they are seeing. These graphs can not have negative values, as it would offset the positive values ​​displayed on the axes, causing confusion and incorrect appearances.

Category levels must also be considered when designing any type of chart. The order of the categories should be consistent across all lines of the graph, usually from largest to smallest, both in individual bars and in columns with the most important value at the bottom of the graph. The choice of color is also very important in stacked graphs. Designers choose a sequential color palette to display a continuous variable, such as salary, that goes from lighter to darker based on levels. There is also the quality palette that suggests action or the divergent palette that works on a Likert scale, basically agreeing or disagreeing with a question.

When should I use stacked charts?


Since they are not as common as bar charts, the goal is to compare the numerical values ​​of a categorical variable and the decomposition of each bar. Ideally, the graph should have numeric values, one or two categorical variables, and regular date intervals. These graphs are for comparison purposes only. Businesses can use these charts to display sales volumes, analyze sales at different store locations, and then subdivide them into categories such as market values ​​for men and women.

These different types of charts may also be ideal for comparing population data and information. This can allow marketing companies to compare the success of advertising across different age groups to track datasets about what attracts customers. These graphs have also been used in topography, operating on the Likert scale as mentioned earlier.

Despite the limited scripts, these graphs can provide clarity through a sleek design to convey what readers need to know.

How To Create a Stacked Chart Source link How To Create a Stacked Chart

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