Please adopt suitable charts to display different types of data. Here are some tips for reference.

Bar chart

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When to use it

The bar chart is suitable for comparing multiple values, e.g. amount of sales by country.

Advantages

The bar chart is easy to read and understand. You get a good overview of values when using bar charts.


Grouped bar chart

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Stacked bar chart

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When to use it

When you have two dimensions or more.

Advantages

You can easily compare two or more items in the same categorical group.

Disadvantages

The bar chart does not work so well with many dimension values due to the limitation of the axis length. You can scroll using the scroll bar, but then you might not get the full picture.


Line chart

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When to use it

The line chart is primarily suitable when you want to visualize trends and movements over time, where the dimension values are evenly spaced, such as months, quarters, or fiscal years.

Advantages

The line chart is easy to understand and gives an instant perception of trends.

Disadvantages

Using more than a few lines in a line chart makes the line chart cluttered and hard to interpret. For this reason, avoid using more than two or three measures.


Pie chart

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When to use it

When you compare a certain sector to the total. The pie chart is useful when there are only two sectors, e.g. yes/no or male/female.

Advantages

The pie chart provides an instant understanding of proportions when few sectors are used as dimensions. The number of sectors should be less than 10 to keep its visual efficiency.

Disadvantages

It may be difficult to compare different sectors of a pie chart, especially a chart with many sectors.


Combo chart

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When to use it

When you want to comparing different values of the same value range to show the relationship between the two categories of data.

Advantages

The combo chart is the best choice when combining several measures of different value ranges.

Disadvantages

The combo chart only supports one dimension, and can therefore not be used when you need to include two or more dimensions in the visualization.


Gauge chart 

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When to use it

The gauge is often used to present KPIs when the maximum, minimum, and target values are known to support the interpretation of the value.

Advantages

A gauge is easy to read and understand and gives an instant indication of the performance.

Disadvantages

It requires a lot of space to display.


KPI

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When to use it

Use KPIs to get an overview of performance values. Use color coding and symbols to indicate how the figures relate to the expected results.

Advantages

KPIs give a quick understanding of the performance within an area.

Disadvantages

The KPI is somewhat limited when it comes to graphical components.


Table

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When to use it

Tables are good when you want to compare individual values. Drill-down group dimensions are very efficient in tables. Within a limited space, you can drill down to the next level of detail.

Advantages

You can filter and sort the table in different ways. A table is excellent when you want to see exact values rather than trends or patterns.

Disadvantages

If the table contains many values, it is difficult to get an overview of how values are related. It is also hard to identify any irregularity within a table.


Tree map

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When to use it

Use a treemap when space is constrained and you need to get an overview of a large amount of hierarchical data.

Advantages

It can be used within a limited space and yet display a large number of items simultaneously.

When there is a correlation between color and size in the tree structure, you are able to see patterns that would be difficult to spot in other ways.

Disadvantages

Treemaps are not good when there is a big difference in the magnitude of the measure values. Negative values cannot be displayed.


Scatter Plot

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When to use it

The scatter plot helps you find potential relationships between values, e.g. average life expectancy and income in different countries. You can also find outliers easily.

Advantages

The scatter plot is a great way to visualize the correlation of two or more measures at the same time.

Disadvantages

The scatter plot may be difficult to understand for an inexperienced user. Values is not visible until you zoom in.


Pivot Table

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When to use it

The pivot table is particularly useful when you want to include several dimensions or measures in a single table, and then want to reorganize them to see different subtotals.

Advantages

The pivot table is very powerful when you want to analyze multiple dimensions and measures at once, and then reorganize them to get a different perspective. You can expand the rows you are interested in while keeping the rows in the rest of the table collapsed.

Disadvantages

The pivot table may seem a bit complicated, and does not give insights at a glance.