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Recently Published

ESG Disclosure Growth by GICS Sector: A 2016 vs 2023 Comparison
This dumbbell plot illustrates the growth trajectory of average ESG disclosure scores across various GICS sectors, comparing the baseline year of 2016 (red dots) to 2023 (green dots). Ranked by their 2023 performance, the visualization highlights a crucial insight: heavily regulated and resource-intensive industries such as Utilities (55), Materials (15), and Energy (10) are leading the global transparency movement. In contrast, service and technology-oriented sectors remain at the lower end of the disclosure spectrum, despite showing positive overall growth.
Modul 3
Chaesar Giveson Muslim Fazlur Rohman
Evolution of Global ESG Disclosure Distribution (2016-2023)
A ridgeline plot visualizing the density and distribution of ESG disclosure scores across global companies from 2016 to 2023 using Bloomberg panel data. The visualization highlights a clear shift in corporate sustainability reporting behavior showing a transition from predominantly low, highly concentrated scores in 2016 toward a broader distribution with higher overall compliance by 2023.
Modul 3 Clustering
Kelompok 9: 1. Muhammad Ramadhan Alba'ary Putra (24031554161) 2. Kafka Praya Firmansyah (24031554182) Link Dataset: https://www.kaggle.com/datasets/samira1992/credit-card-data-intermediate-dataset
Taller Deportes
The Rise of ESG: Global Disclosure Trends Across Industries
An analysis of corporate ESG transparency from 2016 to 2023 using Bloomberg data. The graphic illustrates how different sectors are progressively adopting and improving their ESG disclosures over time, with sectors like Utilities (55) and Materials (15) consistently leading the scores. (Note: 2024 data was dropped due to incomplete data reporting). Sector Codes: 10=Energy, 15=Materials, 20=Industrials, 25=Consumer Discretionary, 30=Consumer Staples, 35=Health Care, 40=Financials, 45=IT, 50=Communication Services, 55=Utilities, 60=Real Estate.
Assignment Week 5
Criando gráficos com múltiplos painéis
Aula 8. Tutorial para o curso especial de R para análise de dados geoquímicos ministrado no programa de pós-graduação em Geologia e Geoquímica da UFPA.