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