Mixed Chart

These days we are surrounded by a high-tech world, and our life has picked up at a very high pace. We want to accomplish every task in the blink of our eyes. We want everything within our reach, and everything is made in a way that serves multi-functions. That’s where the role of a Mixed Chart comes in. You can utilise distinctive layout styles in a single chart with the Mixed chart type. A mixed chart, often known as a combo chart, is a visual representation that allows two or more graphs to be combined. Here on a mixed chart plot, the characteristics of each graph are preserved.

WHAT IS A MIXED CHART?

You can utilise different visual styles in a single chart with the Mixed chart type, including new types and forms including Area, Line/Bar, Stacked Area, and Percent Stacked charts. A mixed chart, often known as a combo chart, is a visual representation that allows two or more graphs to be combined. Here on a mixed chart plot, the characteristics of each graph are preserved. On the mixed chart, different scales of measurement are available, making it a great plot for displaying data values that are typically difficult to combine due to considerable differences in value ranges. A combo chart, in general, allows you to see the relation, variances, deviation, and anomalies between two sets of data by combining them into a single plot.

DIFFERENT TYPES OF CHARTS USED IN MIXED CHARTS?

There are so many charts used for different purposes. Each chart has its uses and disadvantages.

Column charts 

 They are useful for comparing two or more sets of data points. Numeric values are frequently displayed on the vertical axis, sometimes known as the Y-axis. On the horizontal line, the X-axis represents a period.

Examples of column charts are 

Flowers, Shrubs, Clustered, piled, and Trees are the most common types of data items in column charts. By employing these kinds in various colours, you can track patterns over time. When displaying and evaluating various data sets, a grouped column chart is extremely beneficial. You may rapidly check a certain percentage of the total data in stacked column charts.

 Bar Charts 

Comparing concepts and percentages among factors or groups of data is done with bar charts. Users can choose from a variety of options for your respondents, such as annual or quarterly sales. On the X-axis, you can see that bar charts are comparable to column charts.

If you’re not sure when to use a bar chart in your work, consider the type of data you’re working with and your personal preferences. Bar charts, in general, are better for displaying and comparing large amounts of data or figures than other forms of charts.

Pie charts 

They are excellent for displaying and illustrating sample breakdowns in a single dimension. It’s shaped like a pie to highlight the relationship between the major and subcategories of your data. It’s useful when working with categorised groupings of data or displaying disparities across data sets focusing on a particular variable. Pie charts are excellent for displaying and illustrating sample breakdowns in a single dimension. It’s shaped like a pie to highlight the relationship between the major and subcategories of your data. It’s useful when working with categorised groupings of data or displaying disparities across data sets that rely on a specific factor.

Doughnut charts

 In terms of the region carved out in the centre, doughnut charts are fairly similar to pie charts. The segmentation of segments and the interpretation of the arcs of an individual part are two features of doughnut charts. Doughnut graphs are useful for displaying the relationship between the ratios of several data groupings. Users can concentrate on the proportionate lengths of the slices in this situation. Doughnuts, with their blank area, also include more information than pie charts.

Line Charts

This sort of graph is typically used to explain long-term patterns. The vertical axis generally shows a numerical value, whereas the X-axis shows some other relevant variables. Markers in the shapes of circles, squares, or other shapes can be used to display line charts. Line charts aren’t as colourful as other types of charts, but they make it easy for users to see the trend over time for a single piece of data. Instead, you can compare patterns across a variety of data sets. Such charts can be used by managers or financial executives to track and analyse long-term patterns in revenue, financial documents, or marketing statistics.

Area charts 

 These are identical to line charts, except they lack the firm plot lines of the former. Area charts are useful for depicting trends over time for a single or multiple categories, as well as the transition between multiple data groupings. The stacked and completed stacked area charts are the two most common types of area charts. Both of these sorts of graphs can display the nature of the data you’ve chosen.

Scatter charts

They are excellent for examining how several aims centre it around the main subject and its varied dimensions. You can, for example, swiftly compare product categories depending on finances and selling prices. Marks, lines, and straight lines are all included in scatter charts. All of these variables can be used to identify and link separate data components. You have the option of drawing a scatter chart using only markers or lines. Small data points benefit from markers, while large data points benefit from lines.

CONCLUSION

We have realised the importance of Mixed Charts. They are a visual presentation of statistical data, and even a glance at these Mixed Charts helps us get a better knowledge and understanding of statistics. There are so many types of graphs and charts that are together known as Mixed charts. Not only these, Mixed Charts are easy to understand the complex data but it also helps in giving us accurate information.