This accuse discusses the most usual chart types, and sub-types, supported by Excel. For related tutorials, check out our chart & Graph details Center. And also if you create a many charts, we like systematic Graphs: many information Excel Charts (affiliate link). This publication is well-organized and plainly explains the principles and also "how to" of an excellent chart design.

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## The Pie Chart

A Pie Chart displays one collection of data. A data collection is a heat or tower of numbers supplied for charting. In the worksheet below, we have actually outlined a solitary data series. If we had selected multiple collection for the Pie Chart, Excel would overlook all however the first.

Single Data Series

Excel uses the heat heading (series identifier) because that the graph title and also displays the data together proportional slices the a pie (1st picture below). One can customize the style of the pie graph so either numeric values or your percentages display screen on top of the slices of pie.

The legend have the right to be moved to the top, bottom, left, right, or height right ("corner" in larger versions) of the chart. Legend names have the right to be adjusted by transforming the pillar headings in the sheet or modifying the chart directly in brand-new Excel versions.

Popular Pie chart sub-types include Pie graph in 3-D (2nd chart above), exploded Pie graph (3rd chart above), and also Exploded Pie in 3-D. Other sub-types include the Pie that Pie and also Bar the Pie - wherein a 2nd pie or bar is produced from particular values in the an initial pie. Come customize, right-click ~ above the segment in the an initial pie and also select "Format Data Point."

## The column Chart

The pillar Chart properly compares a single set of data points, but it shines when comparing lot of series. Outlined in red, the image listed below shows the 3 data collection we"re charting. Notification that we execute not encompass the totals in our data series.

Multiple Data Series

Because Excel supplies a different shade for each data series, it"s easy to see how a single series changes over time, or to compare multiple collection over a offered time period. The Clustered column Chart is especially popular.

Clustered pillar Chart
Stacked tower Chart

With the Stacked column Chart, data points for each time period are "stacked" atop every other. This chart type shows each data point"s percentage of the total. Also available is the 100% Stacked shaft Chart, where each worth is displayed as a portion of 100%.

100% Stacked shaft Chart

In a pillar Chart, the upright axis always displays numeric values, and also the horizontal axis display screens time, names, or other category. By default, Excel plots whichever has the most entries, heat or obelisk data, top top the horizontal axis. For example, if plotting 5 rows and two columns, heat headings would reside along the horizontal axis. This deserve to be flipped roughly by tailoring the Excel chart.

All obelisk Charts have actually three-dimension versions—the Stacked column Chart is 3-D. However the "3-D tower Chart" is special since the graph itself is three-dimensional making use of the X, Y, and also Z axes. The very first chart below is a 3-D shaft Chart of ours data series.

3-D shaft Chart
3-D Pyramid Chart

In newer versions that Excel, cylinders, pyramids, and cones can be used rather of bars for most of the column charts. The 2nd chart above shows a 3-D Pyramid Chart.

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## The line Chart

The heat Chart is especially efficient in displaying trends. The upright axis (Y-axis) always displays numeric values and the horizontal axis (X-axis) display screens time or various other category.

The an initial image reflects the Line v Markers chart of our solitary data series. Markers—the circles, squares, triangles, or other shapes which note the data points—are optional, and also Excel screens a distinct marker in shape and/or color for each data series.

The heat Chart is equally reliable in displaying fads for multiple series as presented in the over Line chart without markers. Notice that every line is a different color.

Though not as vibrant as the other charts, the is basic to see how effective the line Chart in reflecting a trend for a single series, and comparing trends for multiple collection of data values.

Besides the line Chart, we have the Stacked line Chart and also the 100% Stacked heat Chart - v or there is no markers. A 3-D line Chart is available, however the line Chart go not display data well in three dimension.

## The Bar Chart

The Bar graph is favor a column Chart lie on the side. The horizontal axis that a Bar Chart has the numeric values. The first chart below is the Bar Chart because that our single series, Flowers.

When to use a Bar graph versus a column Chart counts on the form of data and also user preference. Sometimes it is worth the time to develop both charts and also compare the results. However, Bar Charts do tend to display and compare a big number that series much better than the other chart types.

## The Area Chart

Area Charts are prefer Line Charts except that the area below the plot heat is solid. And also like heat Charts, Area Charts space used primarily to show trends over time or other category. The graph at left is one Area Chart because that our solitary series.

Also available are the stack Area Chart and 100% stack Area Chart. Every comes in 2-D format and also in true 3-D format with X, Y, and also Z axes. The chart at ideal is our 3-D Area Chart and also effectively screens our three series.

In numerous cases, the 2-D version of the Area Chart display screens multiple collection of data poorly as collection with lesser values may be totally hidden. In the first chart below, flowers is totally hidden, and also just a wee little bit of trees peaks through. Not an reliable chart!

## The Scatter Chart

The function of a Scatter graph is come observe how the values of two collection compares over time or other category. To show the Scatter Chart, we will use the worksheet values shown below:

According come Scatter Plots (U. Of Illinois), "Scatter plots are comparable to heat graphs in that they usage horizontal and vertical axes to plot data points. However, they have a very certain purpose. Scatter plots show how much one change is impacted by another. The relationship between two variables is called their correlation."

The collection pair has actually a hopeful Correlation if they boost similarly, and a negative Correlation if they both to decrease in favor manner. Otherwise, they have No Correlation.

Excel go not usage labels native the worksheet to brand the horizontal axis. It numbers the X-axis chronologically.

The Scatter Chart comes in several various formats: markers can indicate the data points, and the points deserve to be unconnected or connected with smooth or directly lines. The an initial chart listed below is a Scatter graph with only Markers, and the second chart is a Scatter Chart with Smooth Lines.

In general, markers occupational well when the variety of data point out is small, and smooth lines without markers are regularly used when the number of data points is large. Yet it is finest to shot the different sub-types to check out which one finest presents her data. Because that a great discussion ~ above Scatter Plots, view Scatter Plots - U. The Illinois.

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## Other chart Types

Excel provides other chart types, such as Stock, Surface, Doughnut, Bubble, and Radar. To situate a food selection of all available chart types in newer Excel versions, start to insert any type of chart type and click All Chart types ... The image listed below shows the food selection that displays—menu may look various on your version of Excel.

## Customizing Excel Charts

Customizing a chart deserve to take a long time unless a logical order is followed. As soon as Microsoft revised its Office products for the 2007 version, the greatly amplified the charting function. In some means there space too numerous options.

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We have developed a indict that defines the customizing choices for charts in newer versions of Excel, along with a encourage order in which come proceed.