To help UNHCR colleagues to create high-quality, brand-compliant charts and graphics, GDS has created a number of tools, templates and scripts. You can find useful tools to support your data visualization using Excel, Power BI, Adobe Illustrator, R, Python, D3, and for GIS.

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MS Office

MS Office offers a range of tools for communication, presentation and data visualization. They include various types of charts, such as Column, Bar and Pie charts, and much more. In this section, you will find customized themes and chart templates that will help to avoid default styles and facilitate the creation of UNHCR-branded charts.

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Power BI

Power BI is a collection of software services, apps and connectors that work together to turn your unrelated sources of data into coherent, visually immersive and interactive insights. Power BI Desktop is a desktop application you can install that works cohesively with the Power BI service by providing advanced data exploration, shaping, modelling and report creation with highly interactive visualizations.

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Adobe Illustrator is a powerful vector graphics editor and design program used to create logos, communication content, and infographics. Adobe Illustrator offers limitless possibilities for creativity and an easy way to develop graphs, charts, and custom graphics. If you’re already experienced in using Adobe Illustrator and now want to use it for creating charts and dashboards in the UNHCR style, then these tools and templates are made for you.

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For more information on Adobe Creative Cloud licenses check UNHCR Intranet page.

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Geographic Information Systems (GIS) is a powerful tool for managing and visualizing spatial data. Visualizing spatial/location based data usually involves a map. UNHCR has a number of templates, symbology and tools for creating professional and effective maps in several different GIS software.

Download mapping guidelines Tools and services

Request your ArcGIS Pro license by contacting the GIS Support Unit.

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Coding tools

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The R programming language is a great tool for data visualization, capable of creating almost any type of chart with the help of ggplot2 and other packages. In this section, you will find reproducible code for multiple chart types using the unhcrthemes package to simply apply the UNHCR data visualization style.

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Python provides multiple great graphing libraries that come with lots of different features. It enable users to make various types of highly customized and elegant graphs. In this setion, you will find reproducible code for different types of charts using Matplotlib and the custom style package unhcrpyplostyle.

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D3.js (Data Driven Documents) is an open source JavaScript library that allows you to create custom interactive data visualizations in the web browser using SVG, HTML and CSS. In this section, you will find reproducible and editable source code for a number of different types of charts.

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