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Global health dashboards love averages. But averages hide geography, and geography hides scale. This note pulls live programmatic data from The Global Fund's API — focusing on ART coverage (the percentage of people on treatment among all people living with HIV) across nationally representative grants closing in H2 2023. The goal: move beyond a single headline number. To do that, we borrow from psychometrics. The Wright Map — typically used to plot test-takers against item difficulty — turns out to be a surprisingly natural fit for performance data. Here, countries replace test-takers, and performance against target replaces ability scores. The twist: label size scales with the size of the national target, so the visual weight of each country reflects its actual weight in the global portfolio. The result is a single chart that answers three questions simultaneously: How is performance distributed? Who are the outliers? And whose results move the needle most?

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Laporan ini membahas analisis data kategori menggunakan pendekatan tabel kontingensi. Materi yang disajikan meliputi konsep distribusi joint, marginal, dan conditional probability, serta ukuran asosiasi seperti odds, odds ratio, dan relative risk. Selain perhitungan manual, analisis juga dilakukan menggunakan R untuk menghitung probabilitas, odds ratio, serta melakukan uji chi-square guna melihat hubungan antara dua variabel kategori.