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Flex monster Pivot Table & Charts Version 2.5 API Reference by Flexmonster1 / 131Flexmonster Pivot Table & Charts Version 2.5 API Reference1. API reference .................................................................................................
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How to fill out pivot table ampamp charts

01
To fill out a pivot table and charts, follow these steps:
02
Open your spreadsheet program and locate the data that you want to analyze.
03
Select the range of data that you want to include in your pivot table. This should include all the columns and rows that you want to analyze.
04
In the menu, find the option for creating a pivot table. The exact location of this option may vary depending on the software you are using.
05
Choose the location where you want to place the pivot table. This can be on a new worksheet or on the same sheet as your data.
06
Configure the pivot table settings. This includes choosing the data fields to include, selecting the aggregation functions, and sorting and filtering options.
07
Drag and drop the fields from your data into the appropriate areas of the pivot table. This will define how the data is grouped and summarized.
08
Customize the appearance of the pivot table by applying formatting options such as font styles, colors, and borders.
09
Once the pivot table is created, you can create charts based on its data. Select the pivot table, go to the chart creation option, and choose the desired chart type.
10
Customize the chart by adjusting settings such as the axis labels, legend, and data series.
11
Save your pivot table and charts for future reference or for sharing with others.
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By following these steps, you will be able to fill out pivot tables and charts effectively.

Who needs pivot table ampamp charts?

01
Pivot tables and charts are useful for anyone who wants to analyze and summarize large sets of data. They are commonly used by:
02
- Business analysts who need to analyze sales data, customer data, or financial data.
03
- Project managers who want to track project progress or resource allocations.
04
- Marketers who want to analyze campaign performance or customer trends.
05
- Researchers who want to analyze survey data or experiment results.
06
- Anyone who wants to gain insights from complex data sets without manual calculations or complex formulas.
07
In summary, pivot tables and charts are beneficial tools for anyone dealing with data analysis and visualization.
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Pivot table is a data processing technique used in Excel for summarizing, analyzing, exploring, and presenting large amounts of data. It allows users to rearrange and aggregate the selected columns and rows of data to obtain useful information. Charts are visual representations of data using graphs, bars, lines, or other symbols to convey information.
Businesses, analysts, researchers, and anyone working with large datasets may be required to use pivot tables and charts to analyze and present data effectively.
To fill out pivot tables, users can drag and drop fields into rows, columns, and values sections to organize and summarize the data. Charts can be created from the pivot table data to provide visual representations.
The purpose of pivot tables and charts is to simplify complex data analysis, identify patterns, trends, and relationships in data, and present information in a visually appealing format for better decision-making.
The information reported on pivot tables and charts depends on the specific dataset being analyzed. It can include numerical data, text values, dates, categories, and other relevant information.
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