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https://github.com/shivamsharma32/loan-data-analysis-tableau


https://github.com/shivamsharma32/loan-data-analysis-tableau

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# Loan Data Analysis
## Dataset Overview
![Screenshot 2024-02-25 113427](https://github.com/Royalsivm/Loan-Data-Analysis-Tableau/assets/153700930/9008b0fb-219c-4209-96d2-6e3bbdb8cf39)

# Important insights 💡-
Insights I gained were truly eye-opening. By visualizing the data, I was able to identify key trends and patterns in loan approval rates, loan amounts, and repayment behaviors.

One of the most interesting findings was the correlation between credit scores and loan approval rates - higher credit scores were associated with a higher likelihood of loan approval. Additionally, I discovered that certain demographic factors, such as age and income level, played a significant role in determining loan amounts and interest rates.

# Achievement 💡 -
Through this analysis, I gained a deeper understanding of the factors that influence lending decisions and learned how data visualization can uncover valuable insights that drive informed decision-making. I am excited to share this report on LinkedIn and invite others to explore the fascinating world of data analytics with me.

# Dashboard
![Screenshot 2024-02-24 151838](https://github.com/Royalsivm/Loan-Data-Analysis-Tableau/assets/153700930/e8683ddb-8d11-41dd-b639-65b0e373b958)