Pivot table essential learning 1
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A pivot table allows users to summarize, analyze, explore, and present large amounts of data in Excel spreadsheets more efficiently. It categorizes data into groups and calculates summaries faster than doing so manually. Pivot tables are useful for tasks like calculating data, designing reports, finding relationships within data, and formatting data in a way that makes trends easy to see. They reduce the number of steps needed for these tasks and the chances of human error.
Pivot table essential learning 1
- 1. PivotTable – An Essential Learning
- 3. What is PivotTable • A pivot table is a data summarization tool for Excel spreadsheets • It can be used to summarize, analyze, explore and present your data • A pivot table allows you to create an interactive view of your large data in spreadsheets
- 4. Is it easy? With a pivot table report, you can quickly and easily categorize your data into groups, summarize large amounts of data into meaningful information, and perform a wide variety of calculations in a fraction of the time it takes by hand
- 6. Why PivotTable In common all excel users largely use excel for the following: - Calculating Data ( Data Entry, consolidation etc.,) - Designing (shaping / formatting) the data. For this, we have several inbuilt formulas / tools to manage above tasks. However, PivotTable is often the fastest and efficient way to accomplish above tasks.
- 7. Why PivotTable • Using a pivot table to accomplish this task not only cuts down the number of actions by more than half, but also reduces the possibility of human error. • Also using a pivot table allows for the quick and easy shaping and formatting of the data. • Now have a look on video how PivotTable is useful.
- 8. Video – Why PivotTable
- 9. Explanation Generally, a pivot table would serve you well in any of the following situations: • You have a large amount of transactional data that has become increasingly difficult to analyze and summarize in a meaningful way. •You need to find relationships and groupings within your data.
- 10. Explanation •You need to find a list of unique values for one field in your data. •You need to find data trends using various time periods. •You anticipate frequent requests for changes to your data analysis. •You need to create subtotals that frequently include new additions. •You need to organize your data into a format that’s easy to chart.
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