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Filter search resultsData visualization checklist
Stephanie Evergreen (Evergreen Data) and Ann K.ResourceChoosing visual properties for successful visualizations
This whitepaper, by Noah Iliinsky, IBM Visualisation Expert, covers the various visual properties of data visualisation and how to appropriately apply them to various types of data.ResourcePresenting data effectively: Communicating your findings for maximum impact
This book, authored by Stephanie Evergreen, outlines a step-by-step process for enhancing the presentation of data in reports to increase its effectiveness.ResourceCollaboration mapping
This tool, developed by USAID/Rwanda and shared as part of USAID's Collaboration, Learning and Adapting (CLA) Toolkit, is one way of graphically depicting relationships between key stakeholders.ResourceIntroduction to collaborating, learning and adapting (CLA) in the program cycle
This free, one-hour online course by USAID gives an introduction to the Collaboration, Learning, Adapting (CLA) approach.ResourceUSAID collaborating, learning and adapting in action case competition library
USAID's annual Collaborating, Learning and Adapting (CLA) Case Competition captures case studies of USAID staff and implementing partners using a CLA approach for organizational learning and better development outcomes.ResourceKnight lab - storytelling tools
This suite of tools is useful for creating highly interactive, beautiful representations of data.ResourceBig 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.ResourceDiscussion Paper: Innovations in Monitoring and Evaluation
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.ResourceCausal criteria methods manual
This manual details the 8-step causal criteria framework, a method that can be used to integrate information from different data sources.ResourceSynchronizing monitoring with the pace of change in complexity
This discussion note from USAID argues for synchronizing monitoring with the pace of change as a key principle underlying complexity-aware monitoring.ResourceWeek 30: Presenting data effectively
Last week I was lucky enough to be involved in a series of workshops by Stephanie Evergreen on presenting data effectively.BlogWeek 42: Dot plots, bullet charts, slopegraphs and more. We've updated our visualise data section!
Following up from Stephanie Evergreen's seminar on Presenting data effectivelyBlogThree ways to improve your DataViz
If you’re like me, you think you’ve got a pretty good handle on data visualisation – you know how to make basic customisations to graphs in Excel, you know you should probably think carefully about whether or not to put that large tablBlogEvaluation design
This resource from the New South Wales Department of Environment provides guidance on designing and planning evaluations.ResourceAnalyzing cause and effect in environmental assessments: Using weighted evidence from the literature
This article describes the Eco Evidence analysis framework, a type of causal criteria analysis that uses available evidence to assess support for a hypothesis.ResourceChallenges for evidence-based environmental management: What is acceptable and sufficient evidence of causation?
This paper explores the use of the Eco Evidence framework in answering the question "what is acceptable and sufficient evidence of causation?" in environmental assessments.ResourceEnvironmental flows monitoring and assessment framework
This resource from the Cooperative Research Centre for Freshwater Ecology provides a framework for assessing environmental flow management plans.ResourceEvaluation reporting: A guide to help ensure use of evaluation findings
This guide addresses the issue of ensuring that evaluation findings are used by stakeholders.ResourceMultiple lines and levels of evidence
Multiple lines and levels of evidence (MLLE) is a systematic approach to causal inference that involves bringing together different types of evidence (lines of evidence) and considering the strength of the evidence in terms of different indMethodFrom narrative text to causal maps: QuIP analysis and visualisation
This paper focuses on analysing raw data to produce useful visual summaries, describing in detail the processes involved in a QuIP analysis.Resource