Streamlit app to load and visualize a CSV dataset
Conversational AI agent built for Retail Domain
Fast and easy data exploration tool
Accepts CSV, XLS, XLSX, JSON, XML, TXT. Try our demo!
Analyze data and generate charts by querying
Transform data into visual insights
Explore and visualize CSV data
AI-Powered Tabular Data Assistant -- Talk to CSV / Excel.
Analyze data and generate insights
Analyze and visualize CSV data with AI insights
Analyse your CSV data
Analytic Boards
Analyze and explore your dataset with ease
Data Explorer is a Streamlit app designed to help users convert CSV data into actionable insights. It allows you to load, visualize, and interact with datasets to uncover patterns, trends, and relationships within your data. Whether you're a data analyst, researcher, or business professional, Data Explorer provides an intuitive interface to explore and understand your data effectively.
• Data Loading: Easily upload and load CSV files for analysis. • Data Visualization: Create interactive charts and graphs to visualize your data. • Interactive Filters: Apply filters to narrow down your data and focus on specific insights. • Data Transformation: Perform basic transformations to clean and prepare your dataset. • Real-time Insights: Generate summaries and key metrics to understand your data at a glance. • Cross-platform Compatibility: Use Data Explorer on any device with a web browser.
What file formats does Data Explorer support?
Data Explorer primarily supports CSV (Comma-Separated Values) files. It may also support other formats depending on the configuration.
Can I use Data Explorer for large datasets?
Yes, Data Explorer can handle large datasets, but performance may vary depending on the size and complexity of the data. For very large datasets, consider using a more advanced analytics tool.
How do I get started with Data Explorer?
To get started, install the app, upload your CSV file, and begin exploring using the interactive tools and visualizations provided. Detailed instructions are available within the app interface.