CORD-19 Data Explorer

Project Overview

This project explores the CORD-19 dataset, which contains metadata of COVID-19 research papers. The goal is to perform a complete data science workflow, including data loading, cleaning, analysis, visualization, and building an interactive application using Streamlit.

By completing this project, I gained hands-on experience with real-world data, learning how to handle missing values, extract insights, visualize trends, and create interactive dashboards.

---

Dataset

• File used: metadata.csv from the CORD-19 dataset
• Source: CORD-19 Dataset
• Key columns:
  • title: Title of the research paper
  • abstract: Abstract text of the paper
  • publish_time: Publication date
  • journal: Journal name
  • source_x: Dataset source

---

Project Steps

Part 1: Data Loading and Basic Exploration

1. Download the dataset and place metadata.csv in your project folder.
2. Load the dataset using pandas:

import pandas as pd

df = pd.read_csv('metadata.csv', low_memory=False)