🆘 COVID-19 Cases Development in Indonesia

🚀 Introduction

This repository provides an in-depth analysis of COVID-19 cases across Indonesia, both at the national and provincial levels. It explores the spread of the virus, daily case trends, death and recovery rates, and categorizes regions based on WHO guidelines. The goal is to present clear insights into the progression of COVID-19 in Indonesia and help users understand how different regions have been affected throughout the pandemic.

📌 Features

• National Overview: Analyze the overall situation in Indonesia with insights into daily new cases, deaths, and recoveries.
• Provincial Breakdown: Get detailed statistics on each province, including daily case counts, fatality rates, and recovery rates.
• WHO Guidelines Compliance: Categorization of regions based on WHO standards for understanding the severity and response needs of each area.
• Visualization: Clear, informative charts and graphs to help understand trends and patterns in the data.
• Data Categorization: Automatic classification of regions into risk categories based on the number of new cases, death rate, and recovery rate.

📂 Repository Structure

/analyze: Contains the results of the analysis of Covid-19 in Indonesia. /etl: Contains information about deep data processing and outlier value filters for use in data analysis.

🗂 Data Sources

The data used in this analysis is obtained from open sources data including:

• Kaggle
• Article

👁 Key Insights

• Daily Case: Identify the rise and fall in the number of COVID-19 cases over time.
• Death & Recovery Analysis: Understand the fatality and recovery rates across different regions.
• Regional Categorization: Classify provinces into different risk levels (level 1, level 2, level 3, level 4) based on WHO criteria.

📈 Visualizations

We provide a range of visualizations to make data easier to understand:

• Line charts showing trends of daily cases, deaths, and recoveries.
• Bar charts comparing provincial performance.
• Heatmaps to depict regional severity.
• Pie charts to show the distribution of cases across provinces.

🔧 Installation

1. Clone the repository:

git clone https://github.com/Pra5etya/Covid-in-Indonesia.git

2. Install Git lfs:

git lfs install
git lfs track 'file_name.extension'

3. Setup environment:

python -m venv my_env
source my_env\Scripts\activate || my_env\Scripts\activate

4. Install the required packages:

pip install -r requirements.txt

📚 Detailed Report

Detailed Report can be seen in .pdf. Stay Safe. Stay Informed. 😷