# Table View

### Column Types

Akkio will automatically recognize the variable types in the dataset, which can be any of the following:

* **Text**: This column type is used for textual data such as names, descriptions, or any other free-form text.
* **Number (Integer)**: It is used for columns containing whole numbers without any decimal points, e.g., 1, 20, -5.
* **Number**: This column type is for numerical data that may contain decimal points, e.g., 3.14, 100.5, -0.75.
* **ID**: The ID column type is used to uniquely identify each row in the dataset. It typically contains a unique identifier for each record, such as a customer ID or a transaction ID.
* **Date**: This column type is used for date and time values, allowing for the analysis of temporal data.
* **Category**: The Category column type is commonly used to represent categorical data, such as gender, product type, or any other distinct categories. It is also recommended to use the Category column type for binary data.
* **Disabled**: Temporarily disable a category for specific analysis.

You can change a column’s variable type by clicking its existing variable type. 

<figure><img src="/files/ENraFoFk7EKfIhOJiXF7" alt=""><figcaption></figcaption></figure>

### Column Details

Click on the column summary to see expanded details about the data in that column.

<figure><img src="/files/LBsVKY758WIk56T7tamF" alt="" width="184"><figcaption></figcaption></figure>

* Rows - Number of rows in the column
* Empty Rows - Rows in column with no value
* Unique values - Number of different values in the column
* Distribution - A visualization of the data distribution
* Correlations - How values in this column correlate to values across the dataset


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