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Approaching human vision perception to designing visual graph in data visualization / Phuoc Vinh Tran, Truong Le Xuan // Conference on Information and Communication Systems. - Willey. - 20 tr.. - ISSN:



Ký hiệu phân loại (DDC): 004
In a data visualization system, data are converted into information and/or knowledge by human vision perception of graph representing these data. This research studies the characteristics of human vision perception and the relationships between data variables of dataset to constitute cube models representing dataset as a graph on the cube. The research proposes the process designing multidimensional graph considered as structural graph on cube model to represent multivariate data. Structural graph is designed in the light of the relationships between data variables and human vision perception. After mapping structural graph onto computer screen, the graph is integrated into retinal variables to improve objectively visual features and respond subjectively human perception of vision.
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Data Visualization : Trends and Challenges Toward Multidisciplinary Perception / S. Margret Anouncia, Hardik A. Gohel, Subbiah Vairamuthu
Springer, 2020
192 p. : illustration ; 25 cm.
Ký hiệu phân loại (DDC): 005
In this book you will learn: Data visualization principles and values, Communicate data driven findings. Machine learning and data visualization. Inference and Modeling in data visualization. Informative datasets and software for reliance data visualization2. Data Visualization Techniques. Improving decision-making skills by boosting visual thinking. Understanding how people interpret different types of visual information. Using a wide array of graphs and charts to understand, analyze, and refine data. Working with multidimensional data and mapping it to graphical elements. Effective Space Usage , Mapping & Cartography. Leveraging data visualization and design principles to connect with your audience
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3
Interactive Data Visualization for the Web : An Introduction to Designing with D3 / Scott Murray
US : O'Reilly Media, 2017
472 p. : illustration ; 25 cm.
Ký hiệu phân loại (DDC): 006
Ideal for designers with no coding experience, reporters exploring data journalism, and anyone who wants to visualize and share data, this step-by-step guide will also help you expand your web programming skills by teaching you the basics of HTML, CSS, JavaScript, and SVG.
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Python data visualization essentials guide : become a data visualization expert by building strong proficiency in Pandas, Matplotlib, Seaborn, Plotly, Numpy, and Bokeh / Kalilur Rahman
India : BPB Publications, 2021
366 p. : illustration ; 24 cm.
Ký hiệu phân loại (DDC): 005
Exciting coverage on loads of Python libraries, including Matplotlib, Seaborn, Pandas, and Plotly. Tons of examples, illustrations, and use-cases to demonstrate visual storytelling of varied datasets. Covers a strong fundamental understanding of exploratory data analysis (EDA), statistical modeling, and data mining.
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Statistical analysis : microsoft Excel 2016 / Conrad George Carlberg
Indianapolis, Indiana, USA : Que, 2018
xiii, 552 pages. : illustrations ; 23 cm.
Ký hiệu phân loại (DDC): 005.54
Nationally reconized Excel expert Conrad Carlberg shows you how to use Excel 2016 to perform core statistical tasks every business professional, student, and researcher should master. Using real-world examples and downloadable workbooks, Carlberg helps you choose the right technique for each problem and get the most out of Excel's statistical features. Along the way, he clarifies confusing statistical terminology and helps you avoid common mistakes.-- Source other than Library of Congress
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