Now that we can secure our data, let’s look at what we can do with it. For example, data can be arranged in tables and thus mathematically or statistically related to each other and presented in diagrams to become smarter from this data. A well-known programme for this (a so-called “spreadsheet programme”) is Microsoft Excel.
Excel is a spreadsheet programme that provides us with an extensive selection of the most diverse mathematical and statistical functions for processing data. These functions are predefined formulas of function arguments with which calculations are carried out and are built up according to a basic structure that is always the same (“syntax”). They start with an equal sign (=), followed by the function name and the function arguments, which are separated by a semicolon (;).
Let’s look at some important mathematical functions as examples:
Function | Description |
ROUND | This rounds a number to a certain digit (5 and above is rounded up, and below 5 is rounded down) – for example, 1.44 becomes 1.4 and 1.7 becomes 2.0. |
ROUNDDOWN | This rounds a number down to a certain number of digits towards zero. |
ROUNDUP | This rounds a number up to a certain number of digits. |
SUM | This calculates the sum of a range of selected cells. |
In practice, this works as follows, for example. We want to display the number in cell F6 (i.e. column F, row 6) rounded up to two decimal places in cell G6. So we first select cell G6 in the grid and then go through the following steps.
Figure 2
Source: bit.academy https://portal.bitacademy.at/module/368/phase/6369/
Figure 3
Source bit.academy https://portal.bitacademy.at/module/368/phase/6369/
With this, you know the basic procedure of most mathematical functions in Excel – of course, the options in the dialogue windows change according to the selected function. Tip: For functions that can affect a whole range of numbers, such as SUM, you can quickly select the relevant range by holding down the mouse button.
Excel also offers us many functions for statistical calculations. Here are the most important examples:
Function | Description |
COUNT | This determines the number of cells in a certain cell range that contains values. |
COUNTIFS | This determines the number of cells in a certain cell range that contains values and meets a certain criterion (for example, containing a certain value). |
RANK.EQ | This can be used to determine the rank of the number of a selected cell compared to the numbers of all cells. |
COUNTBLANK | This determines the number of empty cells within a cell range. |
A statistical function in Excel works similarly to a mathematical one:
Figure 4
Source: https://portal.bitacademy.at/module/368/phase/6370/
Excel is also wonderfully suitable for displaying tables graphically – for example, you can display data sets about each other at a glance.
There are columns, rings, pies, bars, and many other chart types in two or three dimensions. The example in Figure 5 is a column chart.
Figure 5
Source: https://portal.bitacademy.at/module/368/phase/6392/
To create a chart in Excel:
One of the most powerful tools in Excel is the ability to create and work with pivot tables. Pivot tables can be used to structure, analyse and evaluate even very large amounts of data.
Various filters and data analysis tools are used for this purpose, for example, to have an otherwise too large number of data summarised or reduced to what is necessary.
Let’s look at an example of using a pivot table. We have a small coffee company and want to analyze our coffee sales. For this we have the following table as a basis:
Figure 6
Source: https://portal.bitacademy.at/module/368/phase/6413/
We now want to use a pivot table to find out what sales we made with Lavazza coffee compared to the other manufacturers, what the sales were in February and what the total sales were in the first quarter.
Figure 7
Source: https://portal.bitacademy.at/module/368/phase/6413/
Figure 8
Source: https://portal.bitacademy.at/module/368/phase/6413/
The result is a pivot table as in Figure 8. We see the sales we make of Lavazza coffee compared to the other producers (1), the total sales in February (2) and all the total sales in the first quarter (3).
A pivot table can only capture the data of the source table automatically and correctly if it has no empty rows or columns.