1. What Is Microsoft Excel And What Does It Do?
2. Microsoft Excel Is Used For
3. Cached
4. What Is Microsoft Excel
5. Types Of Data In Microsoft Excel

According to our registry, Microsoft Excel is capable of opening the files listed below. It is possible that Microsoft Excel can convert between the listed formats as well, the application’s manual can provide information about it.

What Is Microsoft Excel And What Does It Do?

System requirements

Microsoft Office Excel. According to our registry, Microsoft Office Excel is capable of opening the files listed below. It is possible that Microsoft Office Excel can convert between the listed formats as well, the application’s manual can provide information about it. VLOOKUP( ) VLOOKUP is a smart function that looks for a given value in a MS Excel table.

The precise system requirements for the Microsoft Excel application are included in the software’s manual. You can find the manual in electronic format on Microsoft Excel’s website as well. We cannot provide support for this product, so in case of a problem, turn to the developer of Microsoft Excel!

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Microsoft Excel Is Used For

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File types

There are currently 43 file extension(s) associated to the Microsoft Excel application in our database.

Cached

.cas

Comma-Delimited ASCII File

.csv

Comma-Separated Values

.dif

Data Interchange Format

.wks

Microsoft Works Spreadsheet

.xla

Microsoft Excel VBA Add-in

.xlb

Microsoft Excel toolbar Setup

.xlc

Microsoft Excel Chart File

.xld

Microsoft Excel Dialogue

.xlk

Microsoft Excel XLS Backup

.xlm

Microsoft Excel Macro Definition

.xls

Microsoft Excel Worksheet

.xlt

Microsoft Excel Template

.xlv

Microsoft Excel VBA Module

.xlw

Microsoft Excel Workbook Document

.uxdc

Microsoft Office XML Data Source

.tsv

Tab-Separated Values

.xll

Microsoft Excel Add-in

.xlthtml

Microsoft Excel HTML Spreadsheet Template

.xlxml

Microsoft Excel XML Worksheet

.xlcsv

Microsoft Excel Comma-Separated Values Document

.xlbn

Microsoft Excel for Mac Toolbar Setup

.xlb8

Microsoft Excel 98 for Mac Toolbar Setup

.schd

Microsoft Excel Schedule Data

.xls8

Microsoft Excel 98 for Mac Document

.sls8

Microsoft Excel 98 for Mac Template

.xlw5

Microsoft Excel 5 for Mac Workbook Document

.xlm4

Microsoft Excel 4 for Mac Macro Data

.xlw4

Microsoft Excel 4 for Mac Workbook Document

.xlb5

Microsoft Excel 5 for Mac Toolbars Data

.xla5

Microsoft Excel 5 for Mac Add-in

.xls5

Microsoft Excel 5 for Mac Document

.xls4

Microsoft Excel 4 for Mac Document

.xls3

Microsoft Excel 3 for Mac Document

.xlm3

Microsoft Excel 3 for Mac Macro Data

.xlw3

Microsoft Excel 3 for Mac Workbook Document

.xlc3

Microsoft Excel 3 for Mac Chart Document

.xlb4

Microsoft Excel 4 for Mac Toolbars Data

.xlc4

Microsoft Excel 4 for Mac Chart Document

.sls4

Microsoft Excel 4 for Mac Template

.sls3

Microsoft Excel 3 for Mac Template

.sls5

Microsoft Excel 5 for Mac Template

.xlpf

Microsoft Excel for Mac Settings Data

.mcbn

Microsoft Excel 4 for Mac Chart

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What Is Microsoft Excel

Building a chart in Excel in and of itself is not a terribly difficult thing to do. The hard part is getting your mind around which types of chart to use in which situation. Excel has 11 major chart types with variations on each type. For most business dashboards and reports, you will only need a handful of the chart types available in Excel, including the following:

Types Of Data In Microsoft Excel

• Line Chart: The line chart is one of the most frequently used chart types, typically used to show trends over a period of time. If you need to chart changes over time, consider using a line chart.

• Column Chart: Column charts are typically used to compare several items in a specific range of values. Column charts are ideal if you need to compare a single category of data between individual sub-items, such as, for example, when comparing revenue between regions.

• Clustered Column Chart: A clustered column chart can be used if you need to compare multiple categories of data within individual sub-items as well as between sub-items. For instance, you can use a clustered column chart to compare revenue for each year within each region, as well as between regions.

• Stacked Column Chart: A stacked column chart allows you to compare items in a specific range of values as well as show the relationship of the individual sub-items with the whole. For instance, a stacked column chart can show not only the overall revenue for each year, but also the proportion of the total revenue made up by each region.

• Pie Chart: Another frequently used chart is the old pie chart. A pie chart represents the distribution or proportion of each data item over a total value (represented by the overall pie). A pie chart is most effective when plotting no more than three categories of data.

• Bar Chart: Bar charts are typically used to compare several categories of data. Bar charts are ideal for visualizing the distribution or proportion of data items when there are more than three categories. For instance a bar chart could be used to compare the overall revenue distribution for a given set of products.

• Area Chart: Area charts are ideal for clearly illustrating the magnitude of change between two or more data points. For example, you can give your audience a visual feel for the degree of variance between the high and low price for each month.

• Combination Chart: A combination chart is a visualization that combines two or more chart types into a single chart. Combination charts are an ideal choice when you want to compare two categories of each individual sub-item. They are commonly used to create visualizations that show the difference between targets versus actual results.

• XY Scatter Plot Chart: Scatter charts in Excel (also known as XY scatter plot charts) are excellent for showing correlations between two sets of values. For example an XY scatter plot can be used to illustrate the correlation between employee performance and competency, demonstrating that employee performance rises as competency improves. The x and y axes work together to represent data plots on the chart based on the intersection of x values and y values.

• Bubble Chart: A bubble chart is a variation of an XY scatter plot. Just like the XY scatter plot, bubble charts show the correlation between two sets of data. The difference is the addition of a third dimension that is represented by the size of each bubble in the chart. This third dimension is typically used to show the relative impact of a quantitative data item. For instance, in addition to showing employee performance versus competency, you can have the size of each bubble represent years of service, allowing your audience to quickly get a sense of how years of service may affect the relationship between competency and performance.