# Importing CSV Files

1. Click on the `Import` button in the Mito toolbar.
2. Select the **Import Files** option that appears in the dropdown.
3. Use the file browser to navigate to the directory and CSV file you want to import.
4. Click on the file, and then click the `Import` button.
5. The CSV file should appear as a tab in your mitosheet.

<figure><img src="https://2294704369-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MP_U5ZCmiamDOXEOOTC%2Fuploads%2FB4cthrqDg2tErQnhJFWu%2FScreenshot%202023-11-28%20at%203.48.41%20PM.png?alt=media&#x26;token=a5413d89-ecb6-4fc1-ba56-59446416e74b" alt=""><figcaption></figcaption></figure>

### Importing a CSV file from a different directory

If your CSV file is in a different directory that the current notebook, you might need to navigate the file browser to find it.

1. Double click on a folder to enter the folder and see it's contents.
2. Double click on the `<- Parent Folder` to navigate to the parent of this folder.

### Importing multiple CSV files

To import mulitple CSV files, simply repeat the process of importing a single CSV. Each of the imported CSVs will appear as a separate tab in your mitosheet.

### Configuring a CSV import

Mito automatically the correct parameters to import your CSV file in over 90% of cases. In the case that Mito cannot correctly guess the delimeter or encoding of your file, or there are some invalid lines, you can manually configure the CSV import to get your data imported.

1. Click on the `Import` button in the Mito toolbar.
2. Use the file browser to navigate to the directory and CSV file you want to import.
3. Click on the file, and then click the `Configure` button.
4. If necessary, update the config options:
   1. `Delimiter`: The seperator that seperates one column from another.
   2. `Encoding`: The encoding used to save this file.
   3. `Decimal Separator`: The character used to separate the decimal places in numbers.
   4. `Number of Rows to Skip`: The number of rows at the top of the file to skip when reading data into the dataframe.
   5. `Skip Invalid Lines`: Turn on to skip any lines that error when being read in.
5. Click the `Import` button, and your dataframe should appear as a tab in your mitosheet.

   <figure><img src="https://2294704369-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MP_U5ZCmiamDOXEOOTC%2Fuploads%2FOJh7Nx90UkzMVS9aWPIp%2FScreen%20Shot%202023-11-29%20at%2012.35.20%20PM.png?alt=media&#x26;token=536c4f0f-ded3-4fb7-86c9-3f5f943ae0e5" alt="" width="375"><figcaption><p>Configuring a CSV Import.</p></figcaption></figure>

#### Importing a CSV from a remote drive <img src="https://2294704369-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F-MP_U5ZCmiamDOXEOOTC%2Fuploads%2FQr0pdK6kyquZ0muGHok2%2Fimage.png?alt=media&#x26;token=e1a79532-c025-49fa-846d-b21be641a066" alt="" data-size="line">

Mito supports importing CSV files from remote drives, including shared drives, network drives, Dropbox, etc.&#x20;

[Upgrade to **Mito Pro**](https://trymito.io/plans) to access this feature.


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