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* Analyzing Erythemato Squamous Diseases with Power Query and Excel*

As a DEPI graduate, I recently completed a project analyzing data on Erythemato Squamous Diseases from Kaggle. Using Power Query and Excel, I transformed raw data into actionable insights and created an interactive dashboard to visualize our findings. Here’s a snapshot of what we achieved:

*Key Insights from the Dashboard:*1. *Patient Count and Average Age*:

- Total number of patients: 366

- Average age: 36.30 years

2. *Oral Mucosal Involvement*:

- Absent: 73%

- Mild: 14%

- Moderate: 18%

- Severe: 5%

3. *Disease Distribution*:

- Psoriasis: 112 cases

- Seborrheic Dermatitis: 61 cases

- Lichen Planus: 72 cases

- Pityriasis Rosea: 49 cases

- Chronic Dermatitis: 52 cases

- Pityriasis Rubra Pilaris: 20 cases

4. *Itching Severity*:

- Absent: 32%

- Mild: 20%

- Moderate: 27%

- Severe: 21%

5. *Scaling Severity*:

- Absent: 53%

- Mild: 31%

- Moderate: 14%

- Severe: 2%

6. *Knee and Elbow Involvement*:

- Absent: 25%

- Mild: 19%

- Moderate: 28%

- Severe: 28%

*Tools & Techniques:*- *Power Query*: Streamlined data cleaning and preprocessing.

- *Excel*: Leveraged to create an interactive dashboard, making data easily accessible and actionable.

*Impact:*- *Data-Driven Decisions*: Enhanced understanding of disease prevalence and severity, aiding in better medical decisions and resource allocation.

- *Improved Visualization*: Clear and concise visual representation of complex data, making it easier to communicate findings to stakeholders.

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