Hello Streamlit Community!
I’ve launched AutoData Analytics, a free web application for data profiling, quality assessment, visualization, and exploratory data analysis.
The application is intended to help users with different technical backgrounds understand CSV and Excel data without writing code. It may be particularly helpful for data analysts, engineers, quality professionals, researchers, students, and business users.
Current capabilities include:
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CSV and Excel file support
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Automatic column classification
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Numerical, categorical, and date-variable profiling
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Missing-value and data-quality assessment
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Distribution and anomaly analysis
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Group statistics
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Relationship exploration
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Interactive visualizations
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Plain-language AI interpretation
Four sample datasets are included, so you can explore the complete workflow without uploading a file.
Try AutoData Analytics:
I would appreciate feedback on:
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Is the first-time workflow intuitive?
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Which analysis section is most useful?
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Are any results difficult to understand?
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What additional analytical capabilities would make the application more useful?
Please use a sample dataset or non-confidential data. When AI interpretation is used, dataset structure, column names, statistics, and analytical summaries may be processed by a third-party AI provider.
Thank you—I look forward to hearing your suggestions!