# Part 3: Upload Data
URL: https://docs.valsight.ai/part-3-upload-and-validate-data/
Description: In this part, you upload the sample Excel file and validate that it matches the project dimensions.
In this part, you upload the sample Excel file and validate that it matches the project dimensions.

**Data** in Valsight provides the **input values that feed models** and serve as the baseline for calculations, simulations, and analysis.

For detailed reference on any of the concepts here, see [Data Import & Export](/data-import-export/).

## Watch the video guide

Video: [DataSource](https://vs-documentation-assets.fsn1.your-objectstorage.com/videos/6892519508_DataSource.mp4)

## Sample file

Use one Excel file with one worksheet named **Price and Volume**.

### Required columns

| Column    | Type            | Notes                                           |
| --------- | --------------- | ----------------------------------------------- |
| `Year`    | Dimension level | System default time level. Must be named `Year` |
| `Product` | Dimension level | Must match the Product level name exactly       |
| `Country` | Dimension level | Must match the Country level name exactly       |
| `Price`   | Measure         | Used later in model calculations                |
| `Volume`  | Measure         | Used later in model calculations                |

### Example data

![Sample Excel data with Year, Product, Country, Price, and Volume columns](./images/6892421133.png)

**Before you upload, make sure:**

* Data starts in the first row
* Cells are not empty
* `#` is not used in cells
* The worksheet contains only the upload data

## Steps

### Upload the data source

1. Open **Data Sources**.
2. Click **Add** to create a new data source.
3. Select **XLSX** as the file type and choose your sample file.
4. Enter `TutorialData` as the name for the data source.
5. Click **Create Data Source**.

### Validate dimensions

After upload, Valsight checks whether the values in your file match the dimensions in the project.

1. Click **Validate dimensions**.
2. Check the **Errors** tab for any validation messages.
3. If level values are missing, click on the **Dimension Management** tab and add them.
4. Return to the validation result and verify that there are no errors.

*Important: To add missing level values during upload, all levels must be present in the data source. For example, to fill missing values for* `Country`*, the corresponding* `Region` *values must also exist in the upload.*

## What you have done

* Uploaded the sample file as `TutorialData`
* Validated that the file matches the project dimensions