How to convert CSV to XLSX

CSV (Comma Separated Values) is a simple file format used to store tabular data, such as a spreadsheet or database. While CSV files are handy due to their simplicity, they can sometimes be tricky to work with because they lack the advanced features found in more sophisticated formats like XLSX used by Microsoft Excel. Converting CSV files to the XLSX format can solve this problem, as XLSX is a widely supported format that can be opened with almost any spreadsheet software. In this blog post, we will guide you through the common task that many people encounter, trying to convert CSV files to XLSX format and then managing these files in the HIVO digital asset management platform.

Method 1: Using Microsoft Excel

Microsoft Excel is a popular spreadsheet program that can be used to convert CSV files to XLSX. Here are the steps to follow:

* Step 1: Open Microsoft Excel and click on "File" from the menu bar.
* Step 2: Select "Open" from the drop-down menu.
* Step 3: Browse your computer to locate the CSV file you want to convert.
* Step 4: Once the file is selected, click on "Open."
* Step 5: Now, click on "File" again, then choose "Save As" from the drop-down menu.
* Step 6: In the "Save as type" field, select "Excel Workbook (*.xlsx)" and choose the destination folder where you want to save the converted file.
* Step 7: Click on "Save" to begin the conversion process.

Method 2: Using Online Converters

There are many online converters available that can help you convert CSV files to XLSX easily and quickly. Here are the steps to follow:

* Step 1: Go to an online converter website, such as CloudConvert or Online-Convert.
* Step 2: Click on "Select Files" and browse your computer to locate the CSV file you want to convert.
* Step 3: Choose "XLSX" as the output format.
* Step 4: Click on "Convert" and wait for the conversion process to complete.
* Step 5: Once the conversion is complete, download the XLSX file to your computer.

Method 3: Using Python Pandas Library

Python Pandas is a powerful data manipulation library. Here are the steps to follow:

* Step 1: Install Python and Pandas on your computer.
* Step 2: Open a new Python script in your preferred code editor.
* Step 3: Import pandas and read your CSV file using the following code:

```python
import pandas as pd

# Load CSV file
data = pd.read_csv('your_file.csv')

# Save as XLSX
data.to_excel('output_file.xlsx', index=False)
```
Note: Replace 'your_file.csv' with the path to your CSV file and 'output_file.xlsx' with the desired output file name.

* Step 4: Run the script. The XLSX file will be saved in the same directory as the script.

Method 4: Using Google Sheets

Google Sheets is a free, web-based spreadsheet program that can convert CSV to XLSX:

* Step 1: Open Google Sheets in your web browser.
* Step 2: Click on "File" from the top menu and then select "Open."
* Step 3: Select the "Upload" tab and drag or select the CSV file you want to convert.
* Step 4: Once the file is uploaded, click on "File," select "Download" and then "Microsoft Excel (.xlsx)."

Google Sheets’ user-friendly interface makes it easy to manage and convert spreadsheets. The platform offers many customization options to ensure that the output file meets your specific requirements. Plus, the converted file is immediately downloadable, making it easy to manage and share.

Managing Files in HIVO's Digital Asset Management Platform

After converting your CSV files to XLSX, you might want to manage these files effectively. The HIVO digital asset management platform is a great tool for this. Here's how to manage your files in HIVO:

1. Uploading Assets: To upload files (referred to as 'Assets' in HIVO), click the 'Upload' cloud icon in the left navigation bar or the Upload icon in the Library/Collection Detail pages. You can upload multiple assets at once, and perform various actions such as adding new metadata fields or running facial recognition on detected people in images.

2. Tagging Assets: After choosing the assets to be uploaded, you can add tags to all assets in the selection. This helps in better organization and searchability of your data.

3. Asset Details: The next step is to add additional information to the asset selection. This includes description, copyright, license, attached asset, task, collections, folder path, production date, location, permissions, archive date, and sensitivity.

4. Automations: HIVO provides several automation options such as Tag Prediction, Face Detection, Thumbnail Creation, Web Version Creation, Watermark Version Creation, and Custom Creation. These automations enhance the functionality and usability of your assets.

5. User Rights: HIVO provides a range of User Rights that can be issued to Users of the system. The User Rights a User has determines what the User can and cannot do.

6. Groups: You may optionally assign Users to any number of Groups. Groups can be used to logically group Users together either by their role in your organization or by access level.

7. Single Sign-On: HIVO supports Single Sign-On (SSO) with Google and Microsoft Azure AD, providing a convenient and secure login option.

8. Asset Facial Recognition: HIVO also offers facial recognition capabilities. Users can run Face Detection on Assets that they have "Full Access" on, and tag faces on Assets.

Converting CSV files to XLSX can be done using different methods, such as Microsoft Excel, online converters, Python Pandas Library, or Google Sheets. The process is straightforward and can be completed quickly, making it an effective way to make your CSV files compatible with most spreadsheet software. Once converted, these files can be effectively managed using the HIVO digital asset management platform. By following the steps outlined above, you can streamline your data management processes and make the most of your valuable spreadsheet data.