This website is designed to offer a basic online tutorial of data analysis and metadata research for librarians and scholars in History and Digital Humanities. Especially, this tutorial is intended for beginner level researchers who have no prior experience in data science and try to create their own data analysis projects. In this tutorial, we uses an online academic journal database for Korean history, Hanguksa Yeongu Hwibo (The Bulletin of Korean Historical Research). This database is available in Korean.
You will find a brief overview of data analysis and visualization that can help you navigate how to conduct your analysis. In the step-by-step tutorials, you will learn how to start finding, cleaning, and exploring your data with various data analysis tools. Although most tools used in this tutorial require no knowledge of code-writing, some basic coding skills can be useful for utilizing relevant packages in R, Python, and p5js. The goal of this project is to introduce a basic data analysis and visualization using various free online toolkits. By practicing this sample analysis, you will learn what resources can be used in what format and how as well as how to choose appropriate sources and tools for your research. After this tutorial, you can try more advanced data analysis tools such as scikit-learn, Stylo, and Gephi for different types of data analysis and visualization.