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https://github.com/bhavanachitragar/layoff_analysis

This Streamlit app is designed for Layoff Analysis. It allows users to explore and analyze layoff data from different perspectives, including overall analytics, country-specific insights, and individual company details.
https://github.com/bhavanachitragar/layoff_analysis

data dataanalysis streamlit streamlit-webapp

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This Streamlit app is designed for Layoff Analysis. It allows users to explore and analyze layoff data from different perspectives, including overall analytics, country-specific insights, and individual company details.

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# Layoff Data Analysis using python
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Allows users to explore and analyze layoff data from different perspectives, including overall analytics, country-specific insights, and individual company details.

- Handling missing or null values in the dataset, converting data types (dates to datetime objects).
- Perform basic exploratory analysis to understand the structure and characteristics of the data.
- Exploring summary statistics, distributions, and correlations between variables.
- Creating visualizations to gain insights into the layoff data.
- Utilizing plots such as bar charts, line charts, and choropleth maps to represent the data effectively.
- Developing an interactive dashboard using tools like Streamlit
- Allowing users to explore the layoff data dynamically through dropdowns, sliders, or search bars

Link: https://layoff-data-analysis.streamlit.app/

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![Screenshot 2024-04-21 135228](https://github.com/bhavanachitragar/Layoff_Analysis/assets/91766461/5587cfd1-ebfe-4761-8b50-7965e903dd61)
![Screenshot 2024-04-21 135202](https://github.com/bhavanachitragar/Layoff_Analysis/assets/91766461/b741ed51-bb4f-4530-9658-269015f77342)