Summarizing in gross

The old word angro, sometimes used in the Serbian language, comes from the French term “en gros” which means “in gross”, “wholesale” … It served me as the inspiration for the title, and in the text I want to show you advanced possibilities when using the SUM function. Let’s see in what, not very common, ways we can give it arguments and summarize the data.

Cells and ranges manipulation

Range and Cells objects are used to manipulate Excel ranges and cells. These objects have many useful properties and methods that can affect the content and formatting of individual cells or ranges within a worksheet, whether the active ones or those which we explicitly specify. VBA allows you to manipulate individual cells, ranges or named ranges …

VBA objects

VBA uses objects to control Excel behavior so if you want to master this programming language and make the most of it you need to get acquainted with objects and collections, as well as with their properties and methods. In this text, I will introduce you to the most frequently used Excel objects: Application, Workbooks, Worksheets, Cells … In some of the following articles, we will deal more closely with each of them.

Searching through data ranges

In practice, it often happens that we have tables that are in a mutual relationship. Similar to the database, the value of a table column column may be a key by which we can access the columns of another table. In this text, we will discuss the functions used to search through data ranges. If you master them, it’s quite certain that this will quickly become one of your favorite Excel tools.

Creating Pivot tables

Pivot tables (Pivot table reports) are a tool for creating interactive reports based on the range of selected data or structured tables. Columns from source tables are used as reporting dimensions by aggregation of data (measures) or using them to analyze in rows, columns, as filters (dimensions) … Once made, the Pivot tables are easily changed by adding or removing dimensions, giving us more different look at the unique original dataset.