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Update app.py

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  1. app.py +0 -17
app.py CHANGED
@@ -186,23 +186,6 @@ def power_bi():
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  </style>
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  """, unsafe_allow_html=True)
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- st.write("""
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- # Data Insights and Recommendations
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- From the dashboard, you can now appreciate that we have a serious income inequality problem. Explore the key insights derived from our analysis and discover actionable recommendations for stakeholders on how they can contribute to the fight against income inequality. Each insight is accompanied by a targeted recommendation to guide strategic decision-making. Let's work together to create a more equitable society.
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- | **Insight** | **Recommendation** |
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- |-------------|---------------------|
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- | πŸŽ“ Higher education levels are positively correlated with higher income. Income inequality is substantial at lower education tiers. | Invest in education initiatives that focus on providing accessible and quality education, especially for individuals in lower-income communities. This could include scholarship programs, vocational training, and support for schools in underprivileged areas. |
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- | πŸ‘©β€πŸŽ“ Women are more likely to be below the income threshold than men. | Implement and support gender equality programs that address disparities in wages, job opportunities, and career advancement. Policies promoting equal pay, maternity and paternity leave, and initiatives to encourage women in STEM fields can contribute to reducing gender-based income disparities. |
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- | πŸ‘₯ Income inequality is present across all employment statuses. | Implement policies and programs that support stable employment, regardless of the type (full-time, part-time, or contractual). This could involve providing resources for job training, career development, and creating a supportive environment for entrepreneurship. |
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- | 🌍 Racial income disparities exist, with White individuals having a higher count above the income threshold than other racial groups. | Foster diversity and inclusion in workplaces through policies that promote equal opportunities and fair treatment. Encourage diversity in hiring practices, provide diversity training, and create an inclusive work environment that values and respects individuals from all racial and ethnic backgrounds. |
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- | 🌐 Foreigners in the dataset are concentrated below the income threshold. | Review immigration and citizenship policies to ensure fair treatment and opportunities for individuals from different backgrounds. Promote policies that facilitate the integration of immigrants into the workforce and society, addressing any existing barriers to economic success. |
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- | 🏒 The majority of individuals with income below the threshold are in occupations categorized as "Unknown." | Conduct further research and analysis to understand the specific challenges and opportunities within different occupations. Implement targeted policies and programs to support individuals in occupations associated with lower income, providing resources for skill development and career advancement. |
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- | πŸ’Έ Nonfilers seem to have a disproportionately higher representation in the below-income threshold category. | Evaluate and adjust tax policies to ensure fairness and reduce income disparities. Consider policies that provide incentives for low-income individuals, such as tax credits or exemptions, while ensuring that high-income individuals contribute proportionally to address income inequality. |
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- | πŸ“Š Data-driven insights provide valuable information for addressing income inequality. | Continue to invest in data collection, analysis, and research to monitor and understand evolving patterns of income inequality. Regularly update policies and initiatives based on the latest data to ensure they remain effective and aligned with the changing needs of the population. |
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- """)
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  def prediction():
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  </style>
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  """, unsafe_allow_html=True)
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  def prediction():
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