https://github.com/tanyagarg25/project_covidanalysis

This repository is a project for analyzing COVID-19 data using SQL and visualizing it with Tableau. Technologies used include SQL for querying and Tableau for data visualization.
https://github.com/tanyagarg25/project_covidanalysis

analysis dashboard data data-visualization sql tableau

Last synced: about 19 hours ago
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This repository is a project for analyzing COVID-19 data using SQL and visualizing it with Tableau. Technologies used include SQL for querying and Tableau for data visualization.

• Host: GitHub
• URL: https://github.com/tanyagarg25/project_covidanalysis
• Owner: tanyagarg25
• Created: 2024-06-11T22:31:16.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-09-11T19:23:48.000Z (about 2 months ago)
• Last Synced: 2024-09-12T05:38:26.726Z (about 2 months ago)
• Topics: analysis, dashboard, data, data-visualization, sql, tableau
• Homepage: https://public.tableau.com/app/profile/tanya.garg2761/viz/CovidAnalysisDashboard_17182391215740/Dashboard1
• Size: 4.41 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# COVID-19 Pandemic Analysis: Trends, Impact, and Forecasting

## **Executive Summary**

**Objective:**

This project aimed to analyze COVID-19 data to uncover trends, assess regional impacts, and forecast future trends. The goal was to support public health strategies and optimize resource allocation.

**Context:**

The analysis used SQL for querying and processing data, and Tableau for creating interactive visualizations and dashboards. The SQL queries were designed to aggregate and prepare data, while Tableau provided insights through detailed visualizations.

## **Business Problem**

**Problem Identification:**

The COVID-19 pandemic required a detailed understanding of its progression and impact. Effective analysis was needed to provide insights and support decision-making for public health and resource management.

**Business Impact:**

Limited insights hindered effective public health responses and resource allocation. Accurate and timely analysis was crucial for improving intervention strategies and preparing healthcare systems.

## **Methodology**

**Data Cleaning & Transformation:**

**SQL:** Used SQL queries to extract, clean, and aggregate data from various sources. This involved addressing missing values, standardizing formats, and merging datasets.

Analysis Techniques:

**Tableau:** Utilized Tableau to create interactive dashboards that visualized trends, regional impacts, and forecasts. Tableau was employed for visual analysis, including trend lines, heat maps, and other graphical representations.

![image](https://github.com/user-attachments/assets/a29cab10-ba4f-4261-a04a-6a822743e528)

## **Languages & Tools** 

SQL, Tableau

## **Results & Business Recommendation**

   

**Business Impact:**

The project provided insights into infection trends and regional impacts, facilitating data-driven decisions. The interactive Tableau dashboard (accessible here) was instrumental in visualizing key metrics and forecasting trends.

**Insights:**

* The Tableau dashboard includes visualizations of infection rates, recovery times, and regional differences.

* Forecasts provided insights into future trends, aiding in planning and resource allocation.

## **Next Steps**

**Future Work:**

* Update the dashboard with the latest data to keep insights current.

* Explore additional variables such as vaccination rates and new variants for more comprehensive analysis.

* Consider integrating other data sources to provide a more complete picture of the pandemic’s effects.