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various charts and der explanation in excel
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JITHIN KRISHNANS1 MBA
SMBS
An area chart emphasizes the magnitude of change over time
Area charts are much like line charts, but they display different colors in the areas below the lines
Data that is arranged in columns or rows on a worksheet can be plotted in an area chart
Area charts have the following chart sub-types:
2-D area and 3-D area Stacked area and stacked area in 3-D
100% stacked area and 100%
stacked area in 3-D
The 2-D area charts use two axes (horizontal & vertical) while 3-D area charts use three axes (horizontal, vertical, and depth) that you can modify.
Whether they are shown in 2-D or in 3-D, area charts display the trend of values over time or other category data.
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Stacked area charts display the trend of the contribution of each value over time or other category data
A stacked area chart in 3-D is displayed in the same way but uses a 3-D perspective
STACKED AREA CHART
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100% stacked area charts display the trend of the percentage that each value contributes over time or other category data
A 100% stacked area chart in 3-D is displayed in the same way but uses a 3-D perspective
100% STACKED AREA CHART
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An xy (scatter) chart shows the relationships among the numeric values in several data series, or plots two groups of numbers as one series of xy coordinates
Scatter charts are commonly used for displaying and comparing numeric values, such as scientific, statistical, and engineering data
The x-axis of a Scatter chart can only be a value axis. This means that only numeric data is displayed on this axis.
To display this numeric data with greater flexibility, you can change the scaling options on this axis.
Consider using a scatter chart instead of a line chart if you want to:
Change the scale of the horizontal axis Use a logarithmic scale on the horizontal
axis Display worksheet data that includes
pairs or grouped sets of values Show patterns in large sets of data
Compare large numbers of data points without regard to time
Scatter with only markers Scatter with smooth lines and scatter
with smooth lines and markers Scatter with straight lines and scatter
with straight lines and markers
This type of chart compares pairs of values.
Used when many data points and connecting lines would make the data harder to read.
You can also use this chart type when there is no need to show connectivity of the data points.
SCATTER CHART WITH MARKERS ONLY
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This type of chart displays a smooth curve that connects the data points.
Smooth lines can be displayed with or without markers.
Use a smooth line without markers if there are many data points.
Scatter with smooth lines
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Scatter with smooth lines and markers
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This type of chart displays straight connecting lines between data points.
Straight lines can be displayed with or without markers.
Scatter with straight lines
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Scatter with straight lines and markers
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A doughnut chart shows the relationship of parts to a whole, but a doughnut chart can contain more than one data series.
Each data series that you plot in a doughnut chart adds a ring to the chart.
The first data series is displayed in the center of the chart.
Consider using a doughnut chart when: You have one or more data series that
you want to plot. None of the values that you want to plot
is negative. None of the values that you want to plot
is a zero (0) value. You don't have more than seven
categories per data series. The categories represent parts of whole
in each ring of the doughnut chart.
Doughnut Exploded Doughnut
Doughnut charts display data in rings, where each ring represents a data series.
If percentages are displayed in data labels, each ring will total 100%.
DOUGHNUT CHART
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Like exploded pie charts, exploded doughnut charts display the contribution of each value to a total while emphasizing individual values, but they can contain more than one data series.
Doughnut charts and exploded doughnut charts are not available in 3-D, but you can use 3-D formatting to give these charts a 3-D-like appearance.
EXPLODED DOUGHNUT CHART
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A radar chart, also known as a spider chart or a star chart because of its appearance, plots the values of each category along a separate axis that starts in the center of the chart and ends on the outer ring.
A radar chart compares the aggregate values of a number of data series
Data that is arranged in columns or rows on a worksheet can be plotted in a radar chart
Radar and radar with markers Filled radar
With or without markers for individual data points, radar charts display changes in values relative to a center point.
Radar Chart
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RADAR CHART
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Radar Chart with markers
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In a filled radar chart, the area covered by a data series is filled with a color.
FILLED RADAR
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A Surface chart shows a three dimensional surface that connects a set of data points
A Surface chart is useful when you want to find optimum combinations between two sets of data
The colors and patterns in a Surface chart indicate areas that contain the same range of values
A surface chart does not use colors to distinguish the data series — colors are used to distinguish the values instead.
To enhance a surface chart, you can change the colors and use transparency to display color bands that are obscured in the back of the chart.
Data that is arranged in columns or rows on a worksheet can be plotted in a surface chart.
3-D surface Wireframe 3-D surface Contour Wireframe contour
3-D surface charts show trends in values across two dimensions in a continuous curve.
This chart shows a 3-D view of the data, which can be imagined as a rubber sheet stretched over a 3-D column chart.
It is typically used to show relationships between large amounts of data that may otherwise be difficult to see.
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A 3-D surface chart that is displayed without color bands on any surface is called a wireframe 3-D surface chart.
It is the variation of the 3-D Surface chart that appears in black and white.
This chart shows only the lines.
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Contour charts are surface charts viewed from above, similar to 2-D topographic maps.
In a contour chart, color bands represent specific ranges of values.
The lines in a contour chart connect interpolated points of equal value.
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Wireframe contour charts are also surface charts viewed from above.
Its the variation of the Contour chart that appears in black and white
Without color bands on the surface, a wireframe chart shows only the lines.
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A bubble chart is a variation of a scatter chart in which the data points are replaced with bubbles, and an additional dimension of the data is represented in the size of the bubbles
A bubble chart plots x values, y values, and z (size) values
Bubble chart is used instead of a scatter chart if your data has three data series that each contain a set of values.
The sizes of the bubbles are determined by the values in the third data series.
Bubble charts are often used to present financial data.
Different bubble sizes are useful to visually emphasize specific values.
Consider using a bubble chart when your data includes the following:
Three values per data point Multiple data series
BUBBLE CHART BUBBLE CHART with 3-D effect
Both bubble chart types compare sets of three values instead of two.
The third value determines the size of the bubble marker.
You can choose to display bubbles in 2-D format or with a 3-D effect.
BUBBLE CHART
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Stock chart is often used to illustrate the fluctuation of stock price
This chart may also be used for scientific data.
For example, you can use a stock chart to indicate the fluctuation of daily or annual average temperatures
A stock chart that also measures volume displays two vertical (value) axes. The vertical axis on the left shows the volume of stocks traded, and the vertical axis on the right shows the stock prices.
High-low-close Open-high-low-close Volume-high-low-close Volume-open-high-low-close
The high-low-close stock chart is often used to illustrate stock prices. It requires three series of values in the following order: high, low, and then close.
This type of stock chart requires four series of values in the correct order (open, high, low, and then close).
This type of stock chart requires four series of values in the correct order (volume, high, low, and then close).
It measures volume by using two value axes: one for the columns that measure volume, and the other for the stock prices.
This type of stock chart requires five series of values in the correct order (volume, open, high, low, and then close).
