Streamlit app to load and visualize a CSV dataset
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Visualize and analyze data using a CSV file
Data Explorer is a Streamlit app designed to load and visualize CSV datasets, transforming raw data into actionable insights. It serves as a powerful tool for data analysis, enabling users to explore, manipulate, and visualize data efficiently. With its intuitive interface, Data Explorer simplifies the process of converting complex data into meaningful visuals, making it accessible for both novice and advanced users.
• CSV File Loading: Easily import and load CSV files for analysis. • Data Visualization: Generate interactive charts and graphs to represent your data. • Data Filtering: Apply filters to narrow down datasets based on specific criteria. • Column-wise Analysis: Perform detailed analysis on individual columns of data. • Customization Options:Tailor visualizations to meet your specific needs. • Cross-platform Compatibility: Works seamlessly on multiple operating systems.
pip install streamlit.streamlit run data_explorer.py.What file formats does Data Explorer support?
Data Explorer supports CSV (Comma-Separated Values) files exclusively.
Can I customize the visualizations?
Yes, Data Explorer offers customization options to tailor visualizations according to your needs.
Is Data Explorer free to use?
Data Explorer is free to use, but certain advanced features may require a paid subscription.
How do I handle missing data in my CSV file?
Data Explorer provides built-in tools to identify and manage missing data, ensuring accurate analysis.
Can I export the visualizations?
Yes, Data Explorer allows you to download and export visualizations in various formats for further use.
Is there a limit to the size of the CSV file I can upload?
The free version of Data Explorer has a file size limit; for larger datasets, consider upgrading to a paid plan.