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Journal articles on the topic 'Tableau Software'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Biber Sampaio, Frederico Martins, and Moisés Henrique Ramos Pereira. "PROVA AUTOMATIZADA DE TEOREMA EM LÓGICA PROPOSICIONAL." e-xacta 6, no. 1 (2013): 83. http://dx.doi.org/10.18674/exacta.v6i1.964.

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<p align="justify">Este trabalho aborda o desenvolvimento de um sistema para prova automatizada de teoremas em lógica proposicional. O artigo apresenta os fundamentos teóricos gerais, questões operacionais e a estrutura de um software de prova de teoremas, elaborado com propósitos acadêmicos e didáticos, utilizando métodos de prova baseados em três tipos de tableaux semânticos: tableau de Smullyan, tableau com Lema e tableau KE. Experimentos foram realizados para verificar a correção dos resultados das provas, utilizando fórmulas geradas automaticamente.</p><p align="justify"&gt

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Duzhin, Vasilii S. "Investigation of insertion tableau evolution in the Robinson-Schensted-Knuth correspondence." Discrete and Continuous Models and Applied Computational Science 27, no. 4 (2019): 316–24. http://dx.doi.org/10.22363/2658-4670-2019-27-4-316-324.

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Robinson-Schensted-Knuth (RSK) correspondence occurs in different contexts of algebra and combinatorics. Recently, this topic has been actively investigated by many researchers. At the same time, many investigations require conducting the computer experiments involving very large Young tableaux. The article is devoted to such experiments. RSK algorithm establishes a bijection between sequences of elements of linearly ordered set and the pairs of Young tableaux of the same shape called insertion tableau and recording tableau . In this paper we study the dynamics of tableau and the dynamics of d

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Vassiliev, N. N., V. S. Duzhin, and A. D. Kuzmin. "Investigation of properties of equivalence classes of permutations by inverse Robinson — Schensted — Knuth transformation." Information and Control Systems, no. 1 (February 19, 2019): 11–22. http://dx.doi.org/10.31799/1684-8853-2019-1-11-22.

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Introduction:All information about a permutation, i.e. about an element of a symmetric groupS(n), is contained in a pair of Young tableaux mapped to it by RSK transformation. However, when considering an infinite sequence of natural or real numbers instead of a permutation, all information about it is contained only in an insertion infinite Young tableau. The connection between the first element of an infinite sequence of uniformly distributed random values and the limit angle of the recording tableau nerve was found in a recent work by D. Romik and P. Śniady. However, so far there were no mas

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Sfetcu, Nicolae. "Vizualizarea datelor cu aplicațiile Tableau Software." IT & C 2, no. 1 (2023): 23–29. https://doi.org/10.58679/IT10117.

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Tableau este un instrument de analiză și vizualizare a datelor care se poate conecta cu multe surse de date, creând tablouri de bord interactive. Tableau utilizează inovații de integrare a aplicațiilor, cum ar fi API-urile JavaScript și aplicația de conectare unică, pentru a include în mod constant analiza Tableau în aplicațiile de afaceri de bază. Tableau interoghează baze de date relaționale, cuburi de procesare analitică online, baze de date în cloud și foi de calcul pentru a genera vizualizări de date de tip grafic. De asemenea, software-ul poate extrage, stoca și p

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JÄRVISALO, MATTI, and EMILIA OIKARINEN. "Extended ASP Tableaux and rule redundancy in normal logic programs." Theory and Practice of Logic Programming 8, no. 5-6 (2008): 691–716. http://dx.doi.org/10.1017/s1471068408003578.

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AbstractWe introduce an extended tableau calculus for answer set programming (ASP). The proof system is based on the ASP tableaux defined in the work by Gebser and Schaub (Tableau calculi for answer set programming. In Proceedings of the 22nd International Conference on Logic Programming (ICLP 2006), S. Etalle and M. Truszczynski, Eds. Lecture Notes in Computer Science, vol. 4079. Springer, 11–25) with an added extension rule. We investigate the power of Extended ASP Tableaux both theoretically and empirically. We study the relationship of Extended ASP Tableaux with the Extended Resolution pro

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Sfetcu, Nicolae. "Tableau Software: Vizualizarea și analiza datelor." IT & C 2, no. 3 (2023): 36–42. https://doi.org/10.58679/IT41294.

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În prezent, datele sunt generate peste tot, precum YouTube, Tumblr, Reddit, Facebook, WhatsApp FacebookNS, Twitter, Instagram, Gmail, LinkedIn și Academia. Înțelegerea acestor date este foarte importantă, deoarece aceasta este o entitate crucială și foarte importantă a unei organizații, națiuni și instituții. Analiza și vizualizările seturilor de date pot oferi noi tendințe în afaceri, politică, sau intelligence, pot preveni bolile și pot modela pentru a prognoza paradigmele viitoare și a combate criminalitatea, și așa mai departe. În acest moment, cel mai utilizat inst

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Vassiliev, Nikolay, Vasilii Duzhin, and Artem Kuzmin. "On the convergence of bumping routes to their limit shapes in the RSK algorithm: numerical experiments." Information and Control Systems, no. 6 (December 16, 2021): 2–9. http://dx.doi.org/10.31799/1684-8853-2021-6-2-9.

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Introduction: The Robinson — Schensted — Knuth (RSK) algorithm transforms a sequence of elements of a linearly ordered set into a pair of Young tableaux P, Q of the same shape. This transformation is based on the process of bumping and inserting elements in tableau P according to special rules. The trajectory formed by all the boxes of the tableau P shifted in the RSK algorithm is called the bumping route. D. Romik and P. Śniady in 2016 obtained an explicit formula for the limit shape of the bumping route, which is determined by its first element. However, the rate of convergence of the bumpin

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Frempong, David, Oluwatobi Akinboboye, Isaac Okoli, et al. "Real-Time Analytics Dashboards for Decision-Making Using Tableau in Public Sector and Business Intelligence Applications." Journal of Frontiers in Multidisciplinary Research 3, no. 2 (2022): 65–80. https://doi.org/10.54660/.ijfmr.2022.3.2.65-80.

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Real-time analytics dashboards have become essential tools for enhancing decision-making processes in both public sector operations and business intelligence environments. This study investigates the implementation and impact of real-time analytics dashboards developed using Tableau, a leading data visualization and business intelligence software, across government, healthcare, and commercial sectors. The research explores how Tableau’s advanced visualization capabilities, real-time data connectivity, and user-friendly interface facilitate actionable insights, improve operational efficiency, a

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Carlisle, Stephanie. "Software: Tableau and Microsoft Power BI." Technology|Architecture + Design 2, no. 2 (2018): 256–59. http://dx.doi.org/10.1080/24751448.2018.1497381.

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Nguyen, Linh Anh. "Design of the Tableau Reasoner TGC2 for Description Logics." International Journal of Software Engineering and Knowledge Engineering 26, no. 08 (2016): 1315–33. http://dx.doi.org/10.1142/s0218194016500467.

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Ontologies have been applied in a wide range of practical domains. They play a key role in data modeling, information integration, and the creation of semantic web services, intelligent web sites and intelligent software agents. The Web ontology language OWL, recommended by W3C, is based on description logics (DLs). Automated reasoning in DLs is very important for the success of OWL, as it provides support for visualization, debugging, and querying of ontologies. The existing ontology reasoners are not yet satisfactory, especially when dealing with qualified number restrictions and large ontol

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Kim, Eunbi, and Ching-Yu Huang. "Visual Analytics in Effects of Gross Domestic Product to Human Immunodeficiency Virus Using Tableau." International Journal of Machine Learning and Computing 11, no. 3 (2021): 219–23. http://dx.doi.org/10.18178/ijmlc.2021.11.3.1038.

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As data becomes more accessible, visualization methods are needed to help make it easier to understand the information. Analyzing and visualizing data makes it easier to understand a dataset without having to read through it, and elucidate connections between two or more different datasets. Tableau is one of the most popular interactive data visualization software. By using Tableau, it is easy to find correlations between datasets, reorganize datasets through pivoting or joining them, and create visualizations such as geo map charts, geo bubble charts, table charts, line charts, pie charts, an

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Murphy, Sarah Anne. "A non-programmers guide to enhancing and making sense of EZ Proxy logs." Performance Measurement and Metrics 20, no. 3 (2019): 186–95. http://dx.doi.org/10.1108/pmm-08-2019-0034.

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Purpose Libraries throughout the world use OCLC’s EZproxy software to manage access to e-resources. When cleaned, processed, visualized and enhanced, these logs paint a valuable picture of a library’s impact on researcher’s lives. The purpose of this paper is to share techniques and procedures for enhancing and de-identifying EZproxy logs using Tableau, a data analytics and visualization software, and Tableau Prep, a tool used for cleaning, combining and shaping data for analysis. Design/methodology/approach In February 2018, The Ohio State University Libraries established an automated daily p

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Al Malik, Muhamad Hamid, Rico Andrian, and Yohana Tri Utami. "Analisis Visualisasi Data Prestasi Mahasiswa Universitas Lampung Menggunakan Tableau." Jurnal Pepadun 4, no. 2 (2023): 158–65. http://dx.doi.org/10.23960/pepadun.v4i2.172.

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This research focuses on visualizing student academic and non-academic achievement data for the years 2018, 2019, 2020, as well as data related to the 2020 MBKM program at the University of Lampung. The data is processed using Tableau software, allowing for the examination of visual patterns in achievement data based on key attributes, including types of achievements, participants categorized by faculties, and achievement levels classified into three categories: international, national, regional, and provincial achievements. Tableau Public Tools is a software application used for analyzing and

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Nasu, Vitor Hideo, Daniel Ramos Nogueira, Elvis Araujo Albertin, and Claudio Marques. "Too Big to Ignore: Lato Sensu Business Students’ Perceptions on an Accounting Big Data Case." Future Studies Research Journal: Trends and Strategies 11, no. 3 (2019): 305–29. http://dx.doi.org/10.24023/futurejournal/2175-5825/2019.v11i3.464.

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The objective of this study was to analyze the perceptions of lato sensu business students on an accounting big data case. The case was developed by Hoelscher and Mortimer (2018) and was designed to be used with the Tableau software. It was implemented in two distinct accounting courses from two higher education institutions located in the South region of Brazil. Right after the end of the case’s development, surveys were administered to collect data from the 41 participants. Survey questions were divided into three sections: (i) student’s demographic information; (ii) student’s proficiency le

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Datig, Ilka, and Paul Whiting. "Telling your library story: tableau public for data visualization." Library Hi Tech News 35, no. 4 (2018): 6–8. http://dx.doi.org/10.1108/lhtn-02-2018-0008.

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Purpose Data visualization, the technique of presenting data in a visual context to increase reader understanding, is a method that has been growing in influence for decades. Many libraries are facing increasing pressure (both internal and external) to showcase the statistics in high-impact and visually appealing ways. Tableau Public is a free tool that libraries can use to visualize their data. Design/methodology/approach This paper gives an overview of Tableau Public and discusses best practices for using it in library services. Findings Tableau Public is a free-to-use downloadable software

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Simatupang, Dwi Sartika, Anggun Fergina, and Bahadir Ozsut. "MODELLING OF DATA WAREHOUSE WITH MAKING THE TREND TO MAKE DECISION IN COMPANY XYZ." INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) 5, no. 2 (2022): 7–15. http://dx.doi.org/10.52005/ijeat.v5i2.72.

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The goals of the thesis were to modellig a data warehouse which was loaded from the operational database PT. XYZ, to analyze data warehouse with Tableau Software to know the trends of activity Trouble ticket, and to create reports and dashboards to facilitate PT. XYZ in viewing the trends. Data were compiled by observation to PT. XYZ from reporting team. Data were analyzed using software tableau. The results obtained were the trend of activity trouble ticket more than two hundred thousand data in sixteen weeks or four month in 2017. It can be concluded that developed data warehouse can be used

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Schönfeldt, Nikki, and Jacqueline L. Birt. "ICT Skill Development Using Excel, Xero, and Tableau." Journal of Emerging Technologies in Accounting 17, no. 2 (2020): 45–56. http://dx.doi.org/10.2308/jeta-2020-031.

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ABSTRACT The recent implementation of IES 2 and AACSB 7 has reinforced the importance of the development of ICT skills in accounting students and ensuring that they are work-ready for the demands of today's profession (AACSB 2020; IFAC 2019). This paper provides an overview of an assignment that we have introduced in an online graduate accounting course, which encompasses Excel, Xero, and Tableau software. Excel provides our students with the opportunity to develop skills in spreadsheets and applying formulas to work with financial data. Xero provides our students with an opportunity to get fi

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Rajput, Sonia. "Comparison between Tableau and Power bi: A Case Study of COVID19." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem32733.

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Things have come a long way since then, with ever-increasing amounts of data being accessible for modern businesses. As a result of such an influx of data, various organizations have produced software to help businesses make sense of the vast swathes of information. There are now many excellent BI tools on the market today. Tableau first launched in 2004, providing a drag-and-drop way for users to create interactive visuals and dashboards. In reality, Tableau has a variety of products that help businesses store, analyze, and visualize data. Microsoft Power BI arrived on the scene several years

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Segall, Richard S. "Transdisciplinary Applications of Data Visualization and Data Mining Techniques as Represented for Human Diseases." Journal of Systemics, Cybernetics and Informatics 22, no. 7 (2024): 6–15. https://doi.org/10.54808/jsci.22.07.6.

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Data visualization and data mining are transdisciplinary tools for predictive and descriptive analytics. This presentation shows the abundance of data visualization tools currently available that are applicable for multi-disciplinary data. Some examples of visualization are presented as applied for multi-disciplines. Results of applying the most commonly used data visualization tools of Tableau [1] and Power BI [2] are presented as preliminary outputs of a funded Seed Money Grant that applies data for transmissible diseases for humans and also plant pathology. Tableau Software, LLC is an Ameri

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Pender, Jocelyn. "Leveraging Industry Visualization Tools for Biodiversity Science." Biodiversity Information Science and Standards 2 (May 22, 2018): e25842. http://dx.doi.org/10.3897/biss.2.25842.

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Widespread technology usage has resulted in a deluge of data that is not limited to scientific domains. For example, technology companies accumulate vast amounts of data on their users to support their applications and platforms. The participation of many domains in big data collection, data analysis and visualization, and the need for fast data exploration has provided a stellar market opportunity for high quality data visualization software to emerge. In this talk, leading industry visualization software (Tableau) will be used to explore a biodiversity dataset (Carex spp. distribution and mo

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Pender, Jocelyn. "Leveraging Industry Visualization Tools for Biodiversity Science." Biodiversity Information Science and Standards 2 (May 22, 2018): e25842. https://doi.org/10.3897/biss.2.25842.

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Widespread technology usage has resulted in a deluge of data that is not limited to scientific domains. For example, technology companies accumulate vast amounts of data on their users to support their applications and platforms. The participation of many domains in big data collection, data analysis and visualization, and the need for fast data exploration has provided a stellar market opportunity for high quality data visualization software to emerge. In this talk, leading industry visualization software (Tableau) will be used to explore a biodiversity dataset (<i>Carex</i> spp. distribution

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Clarence, Goh. "Data Dashboarding in Accounting using Tableau." Economics and Business Quarterly Reviews 6, no. 1 (2023): 269–75. https://doi.org/10.31014/aior.1992.06.01.502.

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Data dashboarding, which involves organizing and visually displaying data in an easy to use interface to facilitate the processing of analyzing large, complex data sets, is an important tool in accounting decision making. This article discusses the role of data dashboarding in accounting and illustrates, using a worked example, how a data dashboard can be constructed in Tableau, a popular data visualization software.

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Li, Jie, and Lorraine Lee. "Teaching Data Joins: A Conceptual Approach Using SQL, Alteryx, and Tableau." AIS Educator Journal 16, no. 1 (2021): 60–104. http://dx.doi.org/10.3194/1935-8156-16.1.60.

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Abstract The many ways of joining data can be confusing for beginning, or even intermediate, data analytics students. Several accounting information system textbooks cover SQL and joins, but few supplemental resources exist that can reinforce and clarify join concepts. In this paper, we use a multi-tool approach in a three-part assignment for teaching data joins using three different software tools. We use four different join types (INNER JOIN, LEFT OUTER JOIN, RIGHT OUTER JOIN, and FULL OUTER JOIN) in Microsoft Access, Alteryx, and Tableau. We further demonstrate how the Tableau data model, u

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Siddhartha, Sankar Biswas, and Alankar Bhavya. "Utilizing Tableau for Visualization Analysis and Decision Making." International Journal of Engineering Sciences & Emerging Technologies 11, no. 2 (2023): 257–59. https://doi.org/10.5281/zenodo.11379985.

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<em>This study question focuses on the benefits of the analysis of information by means of the use using knowledge visualization software to teach you concerning knowledge and the manner in which it can be turned into data which can enhance the procedure for making decisions. The creators of the information visualization computer program Scene used data from Coursera for research and decision-making. After familiarizing yourself with the data as well as the information's visualization software, that you will be required to carry out an exploratory investigation for the purpose to locate partic

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Letz, Reinhold, and Gernot Stenz. "The Disconnection Tableau Calculus." Journal of Automated Reasoning 38, no. 1-3 (2006): 79–126. http://dx.doi.org/10.1007/s10817-006-9048-8.

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Camila, Cahaya, Ricky Akbar, M. Imam Sutria, Nilam Suri, and Syifa Chairunnissa D. A. "VISUALISASI PERBANDINGAN APBD DAN REALISASI ANGGARAN KABUPATEN/KOTA SE-SUMATRA BARAT MENGGUNAKAN TABLEAU PUBLIC." Jurnal Teknologi Informasi MURA 10, no. 2 (2018): 75. http://dx.doi.org/10.32767/jti.v10i2.390.

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AbstrakAnggaran Pendapatan dan Belanja Daerah (APBD) adalah rencana keuangan tahunan pemerintah daerah di Indonesia yang disetujui oleh Dewan Perwakilan Rakyat Daerah. APBD tiap daerah yang ada di Indonesia tidak merata, sehingga juga terjadi kesenjangan pertumbuhan tiap daerah Indonesia, termasuk pada Sumatra Barat. Seiring dengan perkembangan teknologi, data APBD Kabupaten/Kota Se-Sumbar dapat di analisis dengan mengolah dan mengaturnya dengan banyak cara salah satunya yaitu Business intelligence (BI). Dalam penelitian ini, analisis data dilakukan dengan menggunakan aplikasi Tableau Public.

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Miller, Meg. "Spatial Analytics Dashboards: Assisting Researchers to Select the Appropriate Tool." Bulletin - Association of Canadian Map Libraries and Archives (ACMLA), no. 167 (April 7, 2021): 43–47. http://dx.doi.org/10.15353/acmla.n167.3645.

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This review provides an overview of the following popular spatial analytics dashboard software: Tableau, PowerBI, ArcGIS Insights, ArcGIS Operations Dashboard and covers optimal use cases for each. Also included is a curriculum for an introductory one-shot instructional session on data literacy and research visualization using Operations Dashboard for ArcGIS in an academic library context.

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Tanwir, Taufik Dwi Saputra, and Johan Setiawan. "Visualisasi Perbandingan Anggaran Pendapatan Dan Belanja Daerah (APBD) Pemerintah Provinsi Kabupaten Dan Kota Di Indonesia Periode 2010-2014." Jurnal ULTIMA InfoSys 7, no. 2 (2016): 100–105. http://dx.doi.org/10.31937/si.v7i2.547.

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Regional Income and Expenditure Budget (APBD) is a very important thing in the progress of a region. APBD is an indicator of public welfare level in a region. Data of APBD that is shared on the official website data.go.id is still hard to read and understood, and for that reason the author will compare the budget value of APBD in every province, district, and city by using visualization. The method the author used is Visual Data Mining by creating an APBD visualization dashboard according to provinces, districts, and cities. Tableau Software is used to create the dashboard because Tableau allo

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Tupan, Tupan, and Nur Rizzal Rosiyan. "Analisis Bibliometrik Data Publikasi Penanganan Covid-19 ii Indonesia Menggunakan Software Vosviewer dan Tableau." VISI PUSTAKA: Buletin Jaringan Informasi Antar Perpustakaan 23, no. 3 (2022): 221–32. http://dx.doi.org/10.37014/visipustaka.v23i3.1247.

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Bibliometric analysis of publicity data on the handling of Covid-19 in Indonesia was carried out using Tableau and Vosviewer software. The research was conducted by using the literature search method using Google Scholar. The search was carried out from March 2020 to September 2020 using the keywords Covid-19 and Indonesia. The search results are then grouped based on author name, title and publication source. The results of grouping publications for Covid-19 handlers using Microsof Exel are grouped based on handling criteria. For publication sources analyzed using Software Tableau. Meanwhile,

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Utama, Donny Alif, Erno Sumantri, and Tardin Tardin. "Analisa Tingkat Kerawanan Kebakaran Di Kecamatan Tebet Untuk Mengetahui Zona Siaga Kebakaran Menggunakan Tableau Public." Jurnal Sains dan Teknologi 5, no. 1 (2023): 409–12. http://dx.doi.org/10.55338/saintek.v5i1.1372.

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Dinas Penanggulangan Kebakaran dan Penyelamatan Kota Administrasi Jakarta Selatan adalah instansi pemerintah yang bertanggung jawab untuk memberikan jasa penanggulangan kebakaran dan penyelamatan di wilayah Jakarta Selatan. Penelitian ini bertujuan untuk melakukan analisa tingkat kerawanan kebakaran di Kecamatan Tebet dengan menggunakan Tableau Public dalam rangka mengetahui zona siaga kebakaran. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan mengumpulkan data dari Dinas Penanggulangan Kebakaran dan Penyelamatan Kota Administrasi Jakarta Selatan dan melalui survei langsun

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Park, Yeonkyeong, Insang Song, Jeeeun Yi, Seon-Ju Yi, and Sun-Young Kim. "Web-Based Visualization of Scientific Research Findings: National-Scale Distribution of Air Pollution in South Korea." International Journal of Environmental Research and Public Health 17, no. 7 (2020): 2230. http://dx.doi.org/10.3390/ijerph17072230.

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Background: As scientific findings of air pollution and subsequent health effects have been accumulating, public interest has also been growing. Accordingly, web visualization is suggested as an effective tool to facilitate public understanding in scientific evidence and to promote communication between the public and academia. We aimed to introduce an example of easy and effective web-based visualization of research findings, relying on predicted concentrations of particulate matter ≤ 10 µg/m3 (PM10) and nitrogen dioxide (NO2) obtained from our previous study in South Korea and Tableau softwa

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Lorenc, Augustyn, and Aurelija Burinskiene. "Improve the orders picking in e-commerce by using WMS data and BigData analysis." FME Transactions 49, no. 1 (2021): 233–43. http://dx.doi.org/10.5937/fme2101233l.

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The primary purpose of the research is the improvement of the orders picking process without additional investments for the software, employees, tool and inventories. For problem-solving, the data about picking is exported and preprocessed from WMS. The BigData analysis and product clustering in Tableau software is delivered using the data, where the Product Allocation Problem (PAP) is solved. Picking time for reference scenario and new analysed one is calculated and compared. The presented research proves that standard data collected by WMS could be used for solving PAP for the reduction of t

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Reynolds, Mark. "A tableau-based decision procedure for CTL*." Formal Aspects of Computing 23, no. 6 (2011): 739–79. http://dx.doi.org/10.1007/s00165-011-0193-4.

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Wahyudi, Tri, Diky Pramudita, Fadillah Abi Prayogo, Muhammad Rizky Julianto, and Zahra Purwanti. "Monitoring Perkembangan Program Bank Sampah Menggunakan Tableau Public di RW 05 Kelurahan Cipinang Besar Selatan." Jurnal Pengabdian Nasional (JPN) Indonesia 5, no. 1 (2024): 250–61. http://dx.doi.org/10.35870/jpni.v5i1.661.

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This community service focuses on managing the Waste Bank in RW 05, Cipinang Besar Selatan Subdistrict with the aim of overcoming the lack of public interest in the Waste Bank program. Through a mentoring approach using Tableau Public, this activity aims to increase public understanding of the program. By using qualitative analysis, the results of the waste movement dashboard visualization are expected to provide an understanding of the influence of the Waste Bank on increasing waste volume. The research results show that data visualization using Tableau Desktop successfully achieved service o

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Weirich, Thomas R., Norbert Tschakert, and Stephen Kozlowski. "Teaching Data Analytics Skills in Auditing Classes Using Tableau." Journal of Emerging Technologies in Accounting 15, no. 2 (2018): 137–50. http://dx.doi.org/10.2308/jeta-52264.

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ABSTRACT We present a case for teaching data analytics skills in auditing classes using the data visualization software Tableau. We use the Tableau-embedded data file “US Superstore,” which we edited to include cash receipts and discounts to provide a complete order to cash cycle. Students learn how to create data visualizations and dashboards, and how to apply them to audit-planning considerations. Students then perform substantive testing of the revenue (order to cash) cycle and identify issues in the data that relate to revenue. We propose that this case material can be tailored by instruct

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Widayati, Qoriani, and Irman Effendi. "Pemanfaatan Software Tableau Dalam Pembuatan Dashboard Bencana Karhutla Di BPBD Sumatera Selatan." Jurnal Pengabdian kepada Masyarakat Bina Darma 1, no. 2 (2021): 132–41. http://dx.doi.org/10.33557/pengabdian.v1i2.1449.

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Masalah kebakaran hutan dan lahan di Indonesia sudah menjadi bencana rutin tahunan. Pada setiap tahunnya beberapa provinsi di Indonesia mengalami kebakaran hutan dan lahan, walaupun angka rendah dan tingginya penyebaran titik api sesalu berbeda pada setiap tahunnya. Di Indonesia sendiri terdapat beberapa provinsi yang rawan kebakaran hutan dan lahan. Pada rentan waktu 15 tahun terakhir, sebagian besar kebakaran hutan di Indonesia terjadi di Sumatera Selatan, Kalimantan Tengah dan Riau. Badan Penanggulangan Bencana Daerah (BPBD) Provinsi Sumatera Selatan, sebagai unsur pelaksana pemerintah prov

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Jena, Bibhudutta. "An Approach for Forecast Prediction in Data Analytics Field by Tableau Software." International Journal of Information Engineering and Electronic Business 11, no. 1 (2019): 19–26. http://dx.doi.org/10.5815/ijieeb.2019.01.03.

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Lorenz, Sven. "A tableau prover for domain minimization." Journal of Automated Reasoning 13, no. 3 (1994): 375–90. http://dx.doi.org/10.1007/bf00881950.

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Bataineh, Omar, David S. Rosenblum, and Mark Reynolds. "Efficient Decentralized LTL Monitoring Framework Using Tableau Technique." ACM Transactions on Embedded Computing Systems 18, no. 5s (2019): 1–21. http://dx.doi.org/10.1145/3358219.

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Yanovich, D. A. "Computation of Involutive and Gröbner Bases Using the Tableau Representation of Polynomials." Programming and Computer Software 46, no. 2 (2020): 162–66. http://dx.doi.org/10.1134/s0361768820020115.

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Reynolds, M. "A Tableau for Bundled CTL." Journal of Logic and Computation 17, no. 1 (2006): 117–32. http://dx.doi.org/10.1093/logcom/exl033.

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Chen, Junyu. "2020 World Happiness Data Analysis Report." BCP Social Sciences & Humanities 16 (March 26, 2022): 370–74. http://dx.doi.org/10.54691/bcpssh.v16i.490.

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This survey is mainly based on the statistics of the World Happiness Index data on Kaggle, and the visualization of data produced by Tableau (“Tableau Software is an American intuitively information visualization computer program company centered on trade insights”) to analyze the data. Happiness index is an index value that measures and compares how much or how much happiness people get in a certain period of time. The population currently used in the world to measure is the nationals, which is the national happiness index. The National Happiness Index is an index that measures and compares h

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Siti Nur Atiqah Mohd Shafie, Mohd Noor Azam Nafi, Siti Nurhafizah Mohd Shafie, Nasuhar Ab. Aziz, Akmal Shafiq Badarul Azam, and Puteri Faida Alya Zainuddin6. "Leveraging Interactive Visualisation Using Tableau for Effective Human Resources Management." Journal of Mathematics and Computing Science 10, no. 2 (2024): 135–50. https://doi.org/10.24191/jmcs.v10i2.7393.

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Interactive visualisation tools like Tableau have revolutionised human resources data analysis, moving beyond static reports to dynamic dashboards that reveal meaningful information and enhance decision-making through clear and engaging manner. This paper aims to deliver insightful and interactive visualisations on the curiosities of employee profiling, factors influencing employee turnover, and effective recruitment sources. A sample of 113 employees was analysed, incorporating various demographic variables such as gender, marital status, citizenship status, race, and state, along with positi

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Schumann, J. "Tableau-based theorem provers: Systems and implementations." Journal of Automated Reasoning 13, no. 3 (1994): 409–21. http://dx.doi.org/10.1007/bf00881952.

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Horrocks, Ian, and Ulrike Sattler. "A Tableau Decision Procedure for $\mathcal{SHOIQ}$." Journal of Automated Reasoning 39, no. 3 (2007): 249–76. http://dx.doi.org/10.1007/s10817-007-9079-9.

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Cunningham, Lauren M., and Sarah E. Stein. "Using Visualization Software in the Audit of Revenue Transactions to Identify Anomalies." Issues in Accounting Education 33, no. 4 (2018): 33–46. http://dx.doi.org/10.2308/iace-52146.

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ABSTRACT Recent changes in the accounting profession require students to enter the workforce with technical and critical-thinking skills using large datasets. In an audit setting, an important skill is the ability to identify anomalies and risk factors in the client's data. This instructional case provides students with experience using visualization to identify anomalous transactions for further substantive testing based on relationships between financial data (revenues) and nonfinancial data (weather patterns). Students must also create a memo for the workpaper files that documents their fin

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สุริยะ, สุพรรษา, จารุวรรณ มะลัยคำ, จิราภรณ์ พรมมงคล та ศุภณัฐ วงศานุพัทธ์. "การพัฒนาระบบติดตามความครอบคลุมและความทันเวลาในระบบดิจิทัลเพื่อการเฝ้าระวังโรคทางระบาดวิทยา". รายงานการเฝ้าระวังทางระบาดวิทยาประจำสัปดาห์ 56, № 4 (2025): e3775. https://doi.org/10.59096/wesr.v56i4.3775.

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บทนำ : กองระบาดวิทยาได้ดำเนินการปรับเปลี่ยนระบบรายงานโรคจากระบบรายงานการเฝ้าระวังโรค 506 (R506) ไปสู่ระบบ Digital Disease Surveillance (DDS) ซึ่งใช้กลไกการส่งข้อมูลผ่าน API (Application Programming Interface) ซึ่งจะทำให้ข้อมูลจากสถานพยาบาลถูกส่งเข้าสู่ฐานข้อมูลของกรมควบคุมโรคโดยตรง ข้อมูลที่รายงานเข้ามาจะถูกนำมาใช้อ้างอิงในการติดตามสถานการณ์และการเฝ้าระวัง ป้องกัน และควบคุมโรค การติดตามคุณภาพของข้อมูลในระบบ DDS จึงมีความสำคัญ วัตถุประสงค์ของการศึกษานี้คือเพื่อพัฒนาฐานข้อมูลและสร้างแดชบอร์ดที่สามารถติดตามความครอบคลุมและความทันเวลาของการรายงานข้อมูลได้อย่างมีประสิทธิภาพ วิธีการศึกษา : ใช้วิธีการ

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Hellal, Salim, and Yazid Tagraret. "The impact of balanced scorecard adoption on performance of Algerian manufacturing firms: a contingency approach." les cahiers du cread 39, no. 1 (2023): 349–80. http://dx.doi.org/10.4314/cread.v39i1.12.

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This study seeks to determine the effect of contingency variables on adopting the balanced scorecard in Algerian manufacturing companies, as well as the impact of these companies adopting the balanced scorecard on their financial and non-financial performance. This study was devised on the presumptions of Contingency theory, and it included a sample of 41 Algerian manufacturing companies. Path analysis models based on Partial Least Squares were relied on in order to analyze data collected by the questionnaire and test study hypotheses using the software SmartPLS 3.The study reached several res

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Goh, Vi Lynn, Hawa Hishamuddin, Mohamad Hanif Md Saad, Dzuraidah Ab Wahab, Nashrah Hani Jamadon, and Wakhid Ahmad Jauhari. "DESIGN AND DEVELOPMENT OF A COMPUTER ASSISTED FMEA ANALYSIS TOOL FOR THE SEMICONDUCTOR INDUSTRY." Journal of Information System and Technology Management 9, no. 36 (2024): 90–108. https://doi.org/10.35631/jistm.936006.

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The use of Failure Mode and Effect Analysis (FMEA) has become widespread in various industries to address quality and reliability issues that may occur in a system or process. However, the risk assessment process using traditional FMEA is very time-consuming because it requires the evaluator to assess the risk for each identified potential failure mode one by one, based on the extracted historical data. Without proper consideration of the system or process being evaluated, the evaluator may make incorrect judgments, causing the FMEA results to be inaccurate and unreliable. In this study, an in

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Li, Yueqing, Acyut Kaneria, Chao Qian, and Brian Craig. "Learning Drivers’ Behavior From Social Networking." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 63, no. 1 (2019): 1792–96. http://dx.doi.org/10.1177/1071181319631479.

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In today’s fast developing civilization, transportation plays an important part in people’s economic growth and daily activities. This study analyzes the driving behavior and accidents related to traffic accidents using Twitter tweets as a tool for text mining. Active users when encounter any traffic incidents, post instant messages on Twitter. Various analyses were performed on these tweets and was represented graphically using tableau analy-sis software and Rstudio. This method proved to be an effective and inexpensive method to study peoples’ real time approach on traffic accident throughou

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