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Merge pull request #56 from Asifdotexe/35-add-streamlit-ui
35 add streamlit UI
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.streamlit/config.toml

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[theme]
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base = "light"
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primaryColor = "#4ecdc4"
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backgroundColor = "#F7FDFA"
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secondaryBackgroundColor = "#E8F8F5"
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textColor = "#262730"

README.md

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An interactive command-line tool to automate Exploratory Data Analysis (EDA) and generate beautiful, insightful reports in seconds.
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</em>
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<p align="center">
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<a href="https://dora-eda.streamlit.app/">
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<img src="https://static.streamlit.io/badges/streamlit_badge_black_white.svg" alt="Open in Streamlit">
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</a>
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<br>
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</p>
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## What is DORA?
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DORA is a tool that does the heavy lifting of data analysis for you. Instead of writing code to create charts and calculate statistics, you give DORA your data file, and it builds a comprehensive, beautiful HTML report automatically.
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You can use DORA in two ways:
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1. **Web App**: No installation needed. Just upload your data and download the report.
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2. **CLI Tool**: Install locally for power usage and automation.
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If you have used tools like [ydata-profiling](https://github.com/ydataai/ydata-profiling) and [sweetviz](https://pypi.org/project/sweetviz/), DORA lets you do more. It provides a way to process kaggle dataset as well without a lot of clutter.
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## Get started in 2 minutes

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