8/9/2023 0 Comments Auto summarize sql script![]() ![]() Produce aggregated summaries (eg sum, count, average).The bottom line is that pivot tables are very powerful and can be used to analyze large data sets in the following ways: All this is done very quickly and easily with the pivot table feature in Excel. This is a great start, and we can drill in further with additional pivot tables. Also, we can also see that across all regions, Office Supplies and Technology were down in 2015. We can see straight away overall, sales have generally been increasing, although sales for the South region dropped in 20. We could answer these very easily by creating two simple pivot tables. Do certain regions have higher sales than others?.The first couple of questions we might ask to find out more about the company sales performance are: There’s a lot of data in this table, so to start analyzing it and trying to find information on how sales are doing, we’re going to need to do some initial aggregations – using pivot tables! The table below shows sales data for a company. Let’s look at an example to illustrate this. Or to think of it another way, if you need to answer questions about your data, then a pivot table is usually the best place to start. Why are they so important? Put simply, they allow you to extract information quickly and easily from large quantities of data. If you use Excel often, then you’ll be very familiar with pivot tables and understand their importance. In a previous article we looked at the equivalent of Excel’s VLOOKUP in SQL, and now we’re going to look at an equally popular Excel feature, the Pivot Table. ![]() This is the third article aimed at teaching Excel users some basic SQL server queries, and how to mimic some of the main functions used in Excel. In this article, we’re going to show you how to create pivot tables in SQL Server. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |