Open, edit, and analyze CSV files with our AI-powered viewer and editor. Ask questions in plain English and get instant insights from your data.
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CSV Viewer Features
Edit data cells
Modify values directly in your CSV files and download the updated file
AI-powered analysis
Ask questions about your data in plain English and get instant insights
Smart data understanding
AI automatically analyzes patterns and relationships in your data
Automated insights
Get AI-generated summaries and key findings from your data
Interactive data grid
View your data in a structured, easy-to-read format
Advanced filtering
Filter rows based on multiple column values and conditions
Aggregation capabilities
Perform sum, average, count and other calculations on your data
How to analyze and edit CSV files with AI
- Upload your CSV file using the upload button
- Let our AI analyze your data structure and patterns
- Enable edit mode to modify data cells directly
- Ask questions about your data in plain English
- Get instant insights and visualizations
- Filter and sort data as needed
- Perform advanced analysis with AI assistance
- Download your edited file or export in different formats
How to view CSV files in Python
Here are three effective ways to view CSV files in Python using different libraries. Each approach has its own advantages depending on your specific needs and file sizes.
Viewing CSV files with Pandas
Pandas provides a straightforward approach for viewing files and works well for most common data tasks:
First, we need to install pandas
Then we can load and view the csv file
Viewing CSV files with DuckDB
DuckDB is an in-process SQL OLAP database that's perfect for larger files and analytical workloads:
First, we need to install duckdb
Then we can query the csv file directly
Viewing CSV files with ClickHouse
ClickHouse is a high-performance column-oriented database system that's excellent for large-scale data processing:
First, we need to install clickhouse-connect
Then we can load and query the csv file