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For over a decade, Save the Children has been collecting early grade learning data to inform its efforts to achieve learning for all in partnership with governments and communities across the globe. From the start, Save the Children’s commitment to an ecological framework (Bronfenbrenner, 1974) meant that data included detail on not just sex and socioeconomic status, but also the Home Learning Environment (HLE). This presentation therefore builds upon a decade of equity analyses looking at sex, SES and HLE. It will not attempt to summarize them, but rather interrogate the issues of optimal visualization and communication. Moving quickly away from historically popular columns and trend lines used in prior CIES presentations, new options for looking at and speaking to equity (or lack thereof) will be presented. The presentation will offer options applying recommendations of Tufte (1983), Kosslyn (2006) and other data visualization experts, and build upon what health colleagues have learned about presenting complex equity data (Asada, 2017), and take up recommendations to work on a learning gini by those involved in exploring learning at the bottom of the pyramid (Wagner, 2018). Because most Save the Children datasets trace the learning of the same children over time, the challenges of rendering changes in equity visually meaningful will also be addressed. The audience will be invited to consider and discuss the relative impact of these visual options, informing the panelist of the optimal choices for academic/technical audiences.