In this article, we will show you **4** methods of how to **Log transform data **in **Excel**. To demonstrate our methods, we have taken a dataset consisting of **3 columns**: out of them, only **2 columns** are named “**Country**”, and “**Deaths**”. This dataset represents **6 **countries’ number of deaths up to **June 1st, 2022**.

**Table of Contents**hide

## Download Practice Workbook

## What Is Log Transform?

We can use **Log Transform **to convert any skewed dataset distribution to less skewed. This will help us to make a pattern for a dataset. Consequently, pattern recognition will help us to make meaningful decisions from the **data**, which is the ultimate goal for any **data **analysis task. This tool is highly effective for **data **analysts.

The **Logarithm **can be demonstrated as follows: **p = Log**_{q}**(r)**,

It also can be written as, **q**^{p}** = r**.

Here, the **base **is **q**, which can be any positive number (except **1**), however, base **10** is the most common base. The **base **selection will be depended on the statistical model of any particular research.

Another rule of thumb is that when you need to account for the relative changes in your dataset, you should use the **Log **scale to **transform **your **data**. However, this is not the absolute truth, depending on your dataset and the goal of the analysis, you will need to decide when to use the normal scale and when to use the** Log** scale.

**Read More: How to Plot Log Scale in Excel (2 Easy Methods)**

## 4 Ways to Log Transform Data in Excel

### 1. Use of LOG10 Function to Transform Data in Excel

For the first method, we are going to use the **LOG10** function to **transform data **in **Excel**. This function returns the **Logarithm **value of a number and the **base **will be always **10**. We will see how we can change this **base **using another function in another method. Moreover, we have added a **column **named “**Logarithm Value**”, where we will return the **transformed data**.

**Steps:**

- First, select the
**cell**range**E5:E10**. - Secondly, type the following formula.

`=LOG10(D5)`

- Finally, press
**CTRL + ENTER**.

This will **AutoFill the formula** to the selected **cells**. Additionally, we can see that it has **transformed **our **data **from normal scale to **Log **scale.

**Read More: Excel Logarithmic Scale Start at 0 (A Detailed Analysis)**

### 2. Log Transform Data in Excel Applying LOG Function

In this section, we will use **the LOG function** without any base to **transform data **in **Excel**. This function is similar to the **LOG10 **function. However, there is an option to add a different **base **here. When we do not input anything for the base, Excel will assume the **base **is **10**.

**Steps:**

- First, select the
**cell**range**E5:E10**. - Secondly, type the following formula.

`=LOG(D5)`

- Finally, press
**CTRL + ENTER**.

Thus, we have shown you yet another way of **Log transforming data **in **Excel**.

**Read More: How to Calculate Log in Excel (6 Effective Methods)**

**Similar Readings**

### 3. Use of LOG Function with Base to Transform Data

In this method, we will use the **LOG **function again, but this time with **base 5**. The base **cannot **be – **negative**, **1**, or **0**. Without further ado, let us jump into the step-by-step guide.

**Steps:**

- First, select the
**cell**range**E5:E10**. - Secondly, type the following formula.

`=LOG(D5,5)`

- Finally, press
**CTRL + ENTER**.

Thus, we have shown you the third way of **Log transforming data **in **Excel **with a **base **other than **10**.

**Read More: How to Calculate Logarithmic Growth in Excel (2 Easy Methods)**

### 4. Log Transform Data in Excel Incorporating VBA

For the last method, we are going to use an **Excel VBA** to **Log transform data**. Here, we will use **the For Next Loop** to go through our **cell** values. Moreover, we will use **the VBA Log function** to achieve our goal.

**Steps:**

Before, typing our code we need to bring up the** VBA Module**. To do that –

- First, from the
**Developer**tab >>> select**Visual Basic**.

Alternatively, you can press **ALT + F11** to do this too. The “**Microsoft Visual Basic** **for Application**” will appear after this.

- Secondly, from
**Insert**>>> select**Module**.

Here, we will type our code.

- Thirdly, type the following code inside the
**Module**.

```
Sub Log_Transform_Data()
Dim z As Integer
For z = 5 To 10
Cells(z, 5) = Log(Cells(z, 4))
Next z
End Sub
```

**VBA Code Breakdown**

- First, we are calling our
**Sub Procedure***Log_Transform_Data*. - Then, we are defining the variable type.
- After that, using the
**For Next Loop**we’re going through our**data**. We have provided**5**as the starting value, as our**data**starts from**row 5**. - Then, we use the
**Cells**property to write values. - Finally, we perform our main task using the
**VBA Log function**, moreover, we have used the**Cells**property again to go through our**cell**values.

Now, we will execute our code.

- First,
**Save**this**Module**. - Secondly, click inside our code.
- Finally, press the
**Run**button.

In conclusion, it will transform the values in **cell **range **E5:E10 **as per the **VBA** code breakdown.

**Read More: How to Get and Transform Data in Excel (4 Suitable Examples)**

## Things to Remember

- First, if we do not provide numerical values inside our
**LOG**functions then we will get the “**#Value!**” error. - Then, when the base is
**0**or a negative number, we will get the**“#Num!**” error. - Again, if our base is
**1**, the “**#DIV/0!**” error will appear.

**Read More: Difference Between Load and Transform Data in Excel**

## Practice Section

We have added a practice dataset for each method in the **Excel **file. Therefore, you can follow along with our methods easily.

## Conclusion

We have shown you **4** quick-and-easy to understand methods of how to** Log transform data** in **Excel**. If you face any problems regarding these methods or have any feedback for me, feel free to comment below. Moreover, you can visit our site **Exceldemy** for more **Excel-related** articles. Thanks for reading, keep excelling!