LibGuides: Data Visualization: Data Visualization Tools
Mlis Ashley Zeidler · 2016
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About 10,000 papers for “Data visualization”
Mlis Ashley Zeidler · 2016
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Barbara Mento · 2011
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Past Year Exam Question · UTPedia (Universiti Teknologi Petronas) · 2024
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Nestor Osorio · 2016
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Morse, Peter · Zenodo (CERN European Organization for Nuclear Research) · 2020
Consolidation of Tagger, GD and DT_V software, accompanying publications and data. This work forms part of the PhD thesis "Interactive Visualization for Data Inference in the Geosciences" by Peter Morse. Submitted September, 2020 at the School of Natural Sciences, University of Tasmania.
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Colleen Bell · 2014
Tools, tips, and resources on creating visual representations of data, including infographics, charts and graphs, and more.
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Megan Martinsen · 2013
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Khalid K. Al-jabery, Tayo Obafemi-Ajayi, Gayla R. Olbricht et al. · Elsevier eBooks · 2019
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Alexandru Telea · 2014
Designing a complete visualization system involves many subtle decisions. When designing a complex, real-world visualization system, such decisions involve many types of constraints, such as performance, platform (in)dependence, available programming languages and styles, user-interface toolkits, input/output data format constraints, integration wi
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Prometheus Fork · OSF Preprints (OSF Preprints) · 2019
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Péter Révész · Texts in computer science · 2009
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2022
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Erika Louise Mudrak · OSF Preprints (OSF Preprints) · 2019
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Robert S. Laramee · 2014
Many computing processes result in large, complex, time-dependent data sets. Over the past three decades, the sizes of common data sets has exploded ranging from several Gigabytes to Terabytes in size.
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Matthias Weiler · OSF Preprints (OSF Preprints) · 2019
This is the eighth session of the online course "An introduction to digital open research in clinical psychology".
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Linda Herkenhoff, John Fogli · 2025
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Qingquan Tony Zhang, Beibei Li, Danxia Xie · RePEc: Research Papers in Economics
Abstract This chapter provides an overview of the relevant content of data visualization, comprehensively introduces its basic knowledge, and common tools to use, and gives a related case for a complete visualization process; this chapter elaborates on the applications of (i) data visualization, (ii) introduction to Python visualization tools, (iii) data distribution chart, and (iv) financial data case analysis.
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Sahay, Amar · CERN Document Server (European Organization for Nuclear Research) · 2017
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Parthiban, J.K. Joseph, B Wong et al. · 2023
In recent times, big data analysis is gaining immense credence in the fields of academics and business. Businesses similar as operation and marketing have demonstrated a strong inclination and interest in data analytics. Still, numerous businesses are unfit to use data indeed if they have access to it. The main reason for that's the lack of familiarity with data analytics procedures. Hence, a system needs to be developed that can perform data analytics and demonstrate its benefits. In this study, we use point of deals data attained from a supermarket chain to dissect and show the relationship between purchase goods at the same time. A supermarket is one of the ideal places to demonstrate data analysis because retail stores have numerous purchase records and are always conducting colorful marketing conditioning. We propose an easy- to- handle visualization system to show the goods that are inter-related. By using our system, a store director can gain information about the item deals fluently and interactively.
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Jularat Chumnaul (17537898), Mohammad Sepehrifar (18966564) · Figshare · 2024
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