Data Visualization

Datawrapper: A Data Visualization Tool for Researchers and Journalists

Introduction In Digital Humanities (DH) research, data visualization is an essential means of communicating analytical results. However, sophisticated visualization using tools like D3.js or Python’s Matplotlib requires programming knowledge. Datawrapper is a tool that lets you create professional charts, maps, and tables without any coding. It primarily targets journalists and researchers and is used by major media outlets such as The Washington Post and The Guardian. Key Features of Datawrapper 20+ Chart Types Datawrapper supports a wide range of visualization formats, from basic charts like bar graphs, line charts, and scatter plots to donut charts, area charts, and range plots. You can choose the optimal representation method to match the nature of your data. ...

March 15, 2026 · 3 min · Nakamura

Flourish: An Interactive Data Storytelling Platform

Introduction Data visualization is a powerful means of communicating information. However, static charts alone sometimes struggle to effectively convey temporal changes or complex stories. Flourish is a platform that enables data storytelling through animation and interaction. It makes it easy to create dynamic visualizations such as race charts (bar chart races) and animated maps. It is used by organizations including BBC, Google, and the World Bank, and offers a free plan. ...

March 15, 2026 · 3 min · Nakamura

Kepler.gl: An Open-Source Tool for Beautiful Large-Scale Geospatial Data Visualization

Introduction Geospatial data visualization is a crucial methodology in Digital Humanities (DH) research. Visually representing spatial information — such as the distribution of historical events, locations of cultural heritage sites, and demographic transitions — can yield new insights. This article introduces Kepler.gl, an open-source geospatial data visualization tool developed by Uber. What is Kepler.gl? Kepler.gl is a web-based tool designed for intuitive and visually stunning visualization of large-scale geospatial datasets. It was open-sourced in 2018 by Uber’s visualization team and is available under the MIT License, making it free to use and modify. ...

March 15, 2026 · 3 min · Nakamura

Observable: Data Visualization Notebooks by the Creator of D3.js

Introduction Observable is a JavaScript-based data analysis and visualization notebook platform developed by Mike Bostock, the creator of D3.js. It provides an environment where you can write reactive code in the browser and instantly create interactive data visualizations. In the field of Digital Humanities (DH), Observable has gained attention as a powerful tool for exploratory data analysis and creating interactive visualizations of research data. Key Features of Observable Reactive Notebooks Observable notebooks share concepts with Jupyter Notebooks but adopt a JavaScript-based reactive execution model. ...

March 15, 2026 · 3 min · Nakamura

Palladio: A Guide to Humanities Data Visualization

Introduction In historical and humanities research, visualizing data such as travel routes, correspondence networks, and chronological events is an important means of gaining new insights. However, GIS software and programmatic data visualization have traditionally been high barriers for many humanities researchers. Palladio is a web-based data visualization platform developed by the Humanities+Design Lab at Stanford University. Simply upload a CSV file, and you can explore your data through multiple views: maps, graphs, tables, and timelines. ...

March 15, 2026 · 3 min · Nakamura

RAWGraphs: A No-Code Data Visualization Tool for Digital Humanities

TL;DR RAWGraphs is an open-source, browser-based data visualization tool. Simply drag and drop a CSV/TSV file to create over 30 types of charts, then export them as SVG or PNG. No programming required — making it an ideal entry point for data analysis in Digital Humanities (DH) research. What is RAWGraphs? RAWGraphs is an open-source project developed by the DensityDesign Lab at Politecnico di Milano, Italy. It is released under the Apache 2.0 license and is free for anyone to use. ...

March 15, 2026 · 3 min · Nakamura