03012nam 22004693 450 991100939570332120240222080219.097885551936688555193664(MiAaPQ)EBC31169369(Au-PeEL)EBL31169369(OCoLC)1423132060(CKB)30437400100041(Exl-AI)31169369(EXLCZ)993043740010004120240222d2024 uy 0porurcnu||||||||txtrdacontentcrdamediacrrdacarrierData Visualization Transforme Dados Em Conhecimento1st ed.São Paulo :Casa do Código,2024.©2024.1 online resource (71 pages)9788555193644 8555193648 Intro -- ISBN -- Agradecimentos -- Sobre o autor -- Sobre o livro -- Introdução -- 1.1 O que são dados e seu uso ao longo do tempo -- A importância da visualização dos dados para a tomada de decisão -- Princípios visuais -- 3.1 Os gráficos -- 3.2 Os tipos de análise -- 3.3 As cores -- Princípios semânticos -- 4.1 Definição do objetivo -- 4.2 Definição da análise -- 4.3 KPI -- 4.4 Dashboard -- Estudo de caso com o Power BI -- 5.1 O que é o Power BI? -- 5.2 Preparação do ambiente -- 5.3 Definições básicas do Power BI Desktop -- 5.4 Importação dos dados para criação do dashboard de vendas -- 5.5 Criação de uma análise por data -- 5.6 Criação de uma análise por produto -- 5.7 Criação da versão para mobile -- 5.8 Publicação -- 5.9 Power BI para usuários Linux e Mac -- 5.10 Dispositivos móveis -- Conclusão -- Referências.This book, authored by Ronaldo Braghittoni, explores the principles and methodologies of data visualization to enhance decision-making processes. It emphasizes the importance of converting raw data into actionable insights through visual representations, targeting both professional and personal applications. The book introduces foundational concepts in data science and traces its evolution, highlighting tools such as Power BI for practical implementation. Intended for a diverse audience, including data analysts, business professionals, and individuals seeking to understand data effectively, it combines theoretical knowledge with practical case studies. The author focuses on empowering readers to create clean, efficient dashboards and visualizations that aid in interpreting complex information, facilitating informed conclusions.Generated by AI.Information visualizationGenerated by AIBusiness intelligenceGenerated by AIInformation visualizationBusiness intelligenceBraghittoni Ronaldo1826895MiAaPQMiAaPQMiAaPQBOOK9911009395703321Data Visualization4394895UNINA02696nam 22005535 450 991103931900332120251103120414.09783032017192(electronic bk.)978303201718510.1007/978-3-032-01719-2(MiAaPQ)EBC32386347(Au-PeEL)EBL32386347(CKB)42012882600041(DE-He213)978-3-032-01719-2(EXLCZ)994201288260004120251103d2025 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvanced Modeling and Data Challenges /by Mike Nguyen1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (417 pages)Mathematics and Statistics SeriesPrint version: Nguyen, Mike Advanced Modeling and Data Challenges Cham : Springer,c2025 9783032017185 This volume addresses the complexities of real-world data analysis, offering clear guidance through common challenges such as missing data, model specification, variable selection, and hypothesis testing. It also introduces tools for deeper interpretation—including marginal effects, interaction (moderation), and mediation analysis—to help uncover nuanced relationships in data. Ideal for both learners deepening their understanding and practitioners refining their techniques, this volume blends statistical theory with applied insight. Readers are equipped to navigate ambiguity, confront data imperfections, and extract actionable meaning. With practical examples and an emphasis on analytical reasoning, this book supports coursework, exam review, and professional development alike—making it an essential resource for building confidence in modern data analysis.Mathematics and Statistics SeriesSampling (Statistics)Regression analysisMathematical statisticsMethodology of Data Collection and ProcessingLinear Models and RegressionParametric InferenceSampling (Statistics)Regression analysis.Mathematical statistics.Methodology of Data Collection and Processing.Linear Models and Regression.Parametric Inference.001.433Nguyen Mike1850922MiAaPQMiAaPQMiAaPQ9911039319003321Advanced Modeling and Data Challenges4454510UNINA