> For the complete documentation index, see [llms.txt](https://docs.trymito.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.trymito.io/how-to/type-changes.md).

# Type Changes

Mito's point and click type changes make it easy to identify the data type of each column in your dataframe, and cast those columns to a different type.

#### Identifying Data Types

For each column in your dataframe, the datatype is displayed in the column header. The icon will help you distinguish between int, floats, strings, booleans, and dates/time deltas.

#### Changing Data Types

There are two ways to change the data type of columns inside Mito.

Firstly, you can use the **Dtpye** dropdown in the Mito toolbar: 

1. Select the columns you want to cast to a new dtype.
2. Click on the Dtype dropdown in the Mito toolbar and select a new dtype.

<figure><img src="/files/CU4xaQzULCi1Veelbqad" alt=""><figcaption><p>Changing a string column to a datetime.</p></figcaption></figure>

Secondly, you can use the typecasting spreadsheet formulas. To do so, add the VALUE, TEXT BOOL, or DATEVALUE function to your formula to convert your column to a number, string, boolean, or datetime respectively.

For example, to convert the result of an IF statement to a boolean, wrap the if statement in the BOOL function.

```
=BOOL(IF(A > 100, 1, 0))
```

The resulting column will have `true` for each row where A is greater than 100 and `false` for each row where A is less than or equal to 100.


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