Visualization Resources

Design manual for the University of Oslo

• The UiO Design manual provides templates for powerpoint; research posters; bachelor, masters, and PhD LaTeX templates; letter templates; business cards, and more. The page also includes information on UiO's typography and colour palette. 

Data Visualization Libraries and Guides

• Data to Viz: Data to Viz aims to assist in choosing the most appropriate chart or visualization method for your specific data type. The website provides a clear and concise overview of various visualization types, helping users understand when and how to use bar charts, scatter plots, heatmaps, and many others. Data to Viz emphasises the connection between data structure and visualization design.
• Data Viz Catalogue: The Data Viz Catalogue is an online library of different data visualizations. It presents an array of visualization types, accompanied by descriptions and examples. It is a great website to seek inspiration and guidance. By providing insights into the strengths and weaknesses of various visualization methods, the Data Viz Catalogue can help you select the most suitable representation for your data.
• Data Viz Project: The Data Viz Project is a collaborative platform that gathers a collection of innovative data visualizations and charts. It includes a range of examples and inspirations, whether you are aiming to communicate hierarchical data, time-series data, or multidimensional data, the Data Viz Project provides both ideas and solutions for thinking through your data presentations.
• Qualitative Chart Chooser: The Qualitative Chart Chooser is a helpful tool for individuals working with qualitative data. This resource assists users in selecting the most appropriate visualization methods to showcase and interpret qualitative information effectively. By offering guidance on when to use different chart types, this resource enables users to create visualizations to better the understanding and communication of their qualitative research.
• R Graph Gallery: The R Graph Gallery is a comprehensive online collection of visualizations and graphs created using the R programming language. This resource offers a wide range of examples, tutorials, and code snippets to help researchers, and analysts communicate their data through compelling and informative graphs. Whether you are a beginner or an experienced data professional, the R Graph Gallery serves as an excellent reference to explore and learn from various data visualization techniques using R.
• Programming Historian: Programming Historian is an online resource with lessons and examples on data visualization for historians. The website includes peer-reviewed tutorials on data visualization using various programming languages and tools, as well as inpirational materials showing practical applications. Its aim is to help historians incorporate programming and digital methods into their research and analysis. 

Design Assistance

• ColorBrewer 2.0: ColorBrewer 2.0 is a web-based tool designed to help users choose suitable color schemes for their data visualizations. It offers a variety of color palettes optimized for different data types and purposes, ensuring that visualizations are easily interpretable. Whether users need sequential, diverging, or categorical color schemes, ColorBrewer 2.0 can help you select the appropriate colors to enhance the clarity and impact of your visualisations.
• The Noun Project and Flaticon: Both of these platforms are libraries of free-to-use icons, which can be helpful when designing your infographics. Always ensure to check and comply with any license conditions specified when reusing content created by others. 
• Typewolf: Typewolf showcases a curated collection of typefaces, offering insights and recommendations on pairing fonts effectively. It also includes a font identification tool and analysis of font usage on various websites. Typewolf can help you select and use typography to elevate the visual appeal and readability of your research projects.