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This EDA uses Power BI to analyze Dengue cases in the Philippines, identifying patterns and risk factors. The purpose of this EDA is to better understand Dengue cases in the Philippines by cleaning and transforming the data and creating visualizations such as maps and charts.

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Dengue Cases in Philippines EDA

Overview:

Dengue fever is a viral disease transmitted by mosquitoes and is a significant public health issue in the Philippines. Over the past several years, the country has experienced a significant increase in the number of reported dengue fever cases, causing widespread illness and deaths.

Introduction:

Dengue fever is a serious problem in the Philippines, with a high incidence rate and a significant impact on the population. The country has experienced numerous dengue outbreaks in recent years, causing widespread illness and deaths. In this report, we will use Exploratory Data Analysis (EDA) to study the trends and patterns of dengue cases in the Philippines. By analyzing the data, we hope to gain a better understanding of the dynamics of dengue fever in the Philippines, identify potential risk factors, and inform public health interventions that can help reduce the incidence of the disease.

About the Dataset:

Data set contains the recorded number of dengue cases per region of the Philippines from year 2016 to 2020. It can be used to find trends about the disease as well as spatiotemporal analysis that can result into data-driven solution about the trends of the desease for the past 5 years.

Link to the dataset can be found here.

Heatmap

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What is the Current Trend of Dengue Cases in the Philippines?

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Which Month/s have the Highest Number of Dengue Cases?

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Which Regions have the Highest Average Number of Dengue Cases?

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Which Island has the Highest Death-to-Case Ratio in the Philippines?

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Final Report

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About

This EDA uses Power BI to analyze Dengue cases in the Philippines, identifying patterns and risk factors. The purpose of this EDA is to better understand Dengue cases in the Philippines by cleaning and transforming the data and creating visualizations such as maps and charts.

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