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  1. Visualise data

    Visualize Data, data viz, dataviz

    Data visualisation is the process of representing data graphically in order to identify trends and patterns that would otherwise be unclear or difficult to discern. Data visualisation serves two purposes: to bring clarity during analysis and to communicate.

  2. Three ways to improve your DataViz

    27th March, 2018

    The feature image for this post is from @TerribleMaps.

  3. Evaluation Reporting: A Guide to Help Ensure Use of Evaluation Findings


    This guide addresses the issue of ensuring that evaluation findings are used by stakeholders. It guides readers through the process of creating effective evaluation reports, focusing on the key considerations that need to be taken into account, the essential elements of reports, the importance of dissemination, and offers tools and resources to help with this task. Although created with assist evaluators of heart disease and stroke prevention activities in mind, this guide will be useful for program managers, evaluators and other stakeholders who wish to identify appropriate evaluation products, effectively communicate findings, and find effective dissemination efforts. 

  4. The 11th Evaluation Conference 'Evaluation of Cohesion Policy' Results, challenges, solutions (Cracow, Poland)

    28th September, 2015 to 29th September, 2015

    International Evaluation Conference is an initiative devoted to building evaluation capacity in Poland. It has been organised yearly since 2005 and all the time it constantly attracts a large group of recognised experts in the field of evaluation and related disciplines.

    Also Available In: Polski
  5. Big Data Visualization: Review of the 20 Best Tools


    This webpage provides a list of useful tools for visualising data sets for those with and without coding skills. Most of the tools listed have basic, free accounts however the fact that usability is often greatly increased by monthly subscription fees is a drawback. However, the list does provide a good overview of what is available and it's likely that if you're looking for a simple way to represent your data, you'll find something useful - either by using the tools to create a visualisation, or simply looking through the examples to find inspiration to go off and create your own.

  6. Discussion Paper: Innovations in Monitoring and Evaluation

    Discussion paper

    This discussion paper produced by the United Nations Development Programme discusses various innovations that are occurring in M&E, and the advantages and disadvantages of these methods.

  7. Knight Lab- Storytelling Tools


    Northwestern University Knight Lab is a community of designers, developers, students, and educators working on experiments designed to push journalism into new spaces. Out of this collaboration have come a suite of tools for creating highly interactive, beautiful representations of data. The suite includes JuxtaposeJS, a tool for juxtaposing changes in two images over time, SoundciteJS, in which audio can be embedded into a paragraph of text, StorymapJS, a clean, annotated map interface for storytelling, and TimelineJS, a timeline creator which beautifully integrates audio-visual data into its interactive format.

  8. Week 42: Dot plots, bullet charts, slopegraphs and more. We've updated our visualise data section!

    28th October, 2014

    Following up from Stephanie Evergreen's seminar on Presenting data effectively, we've been working with her to improve our Data visualisation section. We've added new charts, updated descriptions and examples, and linked to more resources to help you develop charts.

    New charts

    We've added 7 new charts to our data viz section:

  9. Week 30: Presenting data effectively

    21st July, 2014

    Last week I was lucky enough to be involved in a series of workshops by Stephanie Evergreen on presenting data effectively. I've walked away with a wealth of knowledge on how to choose the most appropriate chart, which tool will create it, and how to improve the chart's design to more effectively communicate my message.

  10. Data Visualization Checklist


    Stephanie Evergreen (Evergreen Data) and Ann K. Emery have put together this handy checklist of best practice in creating strong, visually engaging graphs for data visualisation. It was specifically compiled with evaluation practitioners in mind and covers a range of areas such as the text, arrangement and colours in a graph.