GitHub - pradipece/Interactive_Analytics_Data_Automation: This project allows users to control complex dataset processing with Python programming by merging Streamlit with Plotly for visualizations.

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This project allows users to control complex dataset processing with Python programming by merging Streamlit with Plotly for visualizations.

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Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
Utilities		Utilities
LICENSE		LICENSE
README.md		README.md
app.py		app.py

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Environment setup for the data analysis

Import the necessary library

pandas for the data analysis
plotly.express for the data interactive visualizations
streamlit for the web app interface

Features

Web application in the browser tab
Use the streamlit Library
Upload Data file
Visualizations data
Statistical analysis
Basic information for the dataset
Quickly visualize the distribution of values within a column
Grouping data insights
Aggregation functions

Sum max min mean etc

Files system

Excel file or CSV file

Output

Run: streamlit run app.py

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This project allows users to control complex dataset processing with Python programming by merging Streamlit with Plotly for visualizations.

data-science automation plotly pandas data-visualization streamlit

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Python 100.0%