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
Last synced: 2 months ago
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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.
- Host: GitHub
- URL: https://github.com/bhavanachitragar/layoff_analysis
- Owner: bhavanachitragar
- Created: 2024-04-21T08:03:18.000Z (about 2 years ago)
- Default Branch: master
- Last Pushed: 2024-04-26T12:45:24.000Z (about 2 years ago)
- Last Synced: 2025-07-30T07:53:40.681Z (11 months ago)
- Topics: data, dataanalysis, streamlit, streamlit-webapp
- Language: Jupyter Notebook
- Homepage: https://layoff-data-analysis.streamlit.app/
- Size: 98.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 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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