How to Convert CSV to Excel in Excel, Python, and Power Query
How to Convert CSV to Excel in Excel, Python, and Power Query
Blog Article
Handling raw data is an essential part of business analytics. CSV files are widely used, but they lack advanced functionalities like formatting and data visualization. In this guide, we’ll explore multiple methods to convert csv to excel efficiently.
Method 1: Manual Conversion in Excel
- Open Excel and go to File > Open
- Select the CSV file
- Choose Delimited in the Text Import Wizard
- Select the correct delimiter (comma, tab, etc.)
- Click Finish to convert csv to excel
Method 2: Using Power Query for Large Files
Power Query is ideal for handling large CSV files efficiently:
- Open Excel and go to Data > Get Data > From Text/CSV
- Select the file and let Power Query detect data types
- Click Load to Table for structured data in Excel
Method 3: Automate with Python
For automation, use Python with Pandas:
import pandas as pd
df = pd.read_csv('data.csv')
df.to_excel('output.xlsx', index=False)
This method is useful for large-scale csv to excel conversions.
Conclusion
Choosing the right method for converting csv to excel depends on the complexity of your data and automation needs. Whether you use Excel’s built-in tools, Power Query, or Python, each method ensures better data usability and insights. Report this page