Search results
Results From The WOW.Com Content Network
Analyze Data in Excel empowers you to understand your data through natural language queries that allow you to ask questions about your data without having to write complicated formulas. In addition, Analyze Data provides high-level visual summaries, trends, and patterns.
Change the summary function or custom calculation for a field in a PivotTable report. Applies To. Data in the Values area summarize the underlying source data (not the value that is showing) in the PivotChart report in the following way: numeric values use the SUM function and text values use the COUNT function.
If you need to develop complex statistical or engineering analyses, you can save steps and time by using the Analysis ToolPak. You provide the data and parameters for each analysis, and the tool uses the appropriate statistical or engineering macro functions to calculate and display the results in an output table.
The data profiling tools provide intuitive ways to clean, transform, and understand query data, such as key statistics and distributions. In addition, by using the Count Rows command, you can also get a row count of all your query data.
The Descriptive Statistics analysis tool generates a report of univariate statistics for data in the input range, providing information about the central tendency and variability of your data.
How to use a PivotTable in Excel to calculate, summarize, and analyze your worksheet data to see hidden patterns and trends.
Statistical functions (reference) To get detailed information about a function, click its name in the first column. Note: In Excel 2016, this function is replaced with FORECAST.LINEAR as part of the new Forecasting functions, but it's still available for compatibility with earlier versions.
Profile data to view statistics (Power Query) The data profiling tools provide intuitive ways to clean, transform, and understand query data, such as key statistics and distributions. In addition, by using the Count Rows command, you can also get a row count of all your query data.
Use an outline to quickly display summary rows or columns, or to reveal the detail data for each group. You can create an outline of rows (as shown in the example below), an outline of columns, or an outline of both rows and columns.
Create either one-variable or two-variable data tables, depending on the number of variables and formulas that you need to test. Use a one-variable data table if you want to see how different values of one variable in one or more formulas will change the results of those formulas.
You can use a PivotTable to summarize, analyze, explore, and present summary data. PivotCharts complement PivotTables by adding visualizations to the summary data in a PivotTable, and allow you to easily see comparisons, patterns, and trends.