標(biāo)題: Titlebook: Data and Process Visualisation for Graphic Communication; A Hands-on Approach Francesco Bianconi Book 2024 The Editor(s) (if applicable) a [打印本頁] 作者: 自由 時(shí)間: 2025-3-21 16:22
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書目名稱Data and Process Visualisation for Graphic Communication讀者反饋學(xué)科排名
作者: Conserve 時(shí)間: 2025-3-21 21:29 作者: BIDE 時(shí)間: 2025-3-22 04:17 作者: 迫擊炮 時(shí)間: 2025-3-22 05:01
Hierarchical I3D for?Sign Spottingdistribution of all the observations in a quantitative dataset is essential to gain a better understanding of its shape, center, and spread. This chapter presents different approaches for visualizing frequency distributions: histogram plots, dot diagrams, pyramid plots, and area charts.作者: depreciate 時(shí)間: 2025-3-22 10:50
Ryan Wong,Necati Cihan Camg?z,Richard Bowdenow from one class/entity to another. In this type of chart there is one measure (the amount of flow between the classes/entities) and one or more dimensions that define the classes. This chapter introduces two specific tools for representing relations: . and ..作者: 清澈 時(shí)間: 2025-3-22 15:50
Girish Kumar Solanki,Anastasios Roussosace-typically country, region, province, and/or other boundaries-but in some cases also cities, rivers, and other such landmarks. The chapter introduces and discusses four tools for representing geospatial data: ., ., ., and ..作者: 清澈 時(shí)間: 2025-3-22 17:55 作者: JEER 時(shí)間: 2025-3-22 23:56 作者: anaerobic 時(shí)間: 2025-3-23 03:52 作者: cornucopia 時(shí)間: 2025-3-23 08:18
One Variable as a Function of the Othere on the .-axis of the chart and the dependent one on the .-axis. The function . can be given as an algebraic expression or, more commonly, as a list of (., .) pairs. The chapter presents two different tools for visualizing one variable as a function of the other: line charts and slope charts.作者: 秘傳 時(shí)間: 2025-3-23 12:32 作者: 有節(jié)制 時(shí)間: 2025-3-23 17:15 作者: GREG 時(shí)間: 2025-3-23 21:08 作者: MELD 時(shí)間: 2025-3-24 01:11
Flowchartslowcharts, which are the most commonly used, in practice, to show the sequence of steps and decisions required to perform a process or algorithm. We present examples on how to generate flowcharts using the Schemdraw package.作者: dominant 時(shí)間: 2025-3-24 05:19
Lecture Notes in Computer Sciencetive importance of the categories while also bringing the reader’s attention to each category’s portion of the total. We present different tools for visualizing proportions; these include . charts, ., ., ., ., and ..作者: Substance-Abuse 時(shí)間: 2025-3-24 09:27
Computer Vision – ECCV 2022 Workshopsroup by ., or to visualize the overall frequency distribution via .. The chapter also describes how to combine the above plots in various ways, for instance by overlapping strip plots with box plots and violin plots with box plots.作者: 事與愿違 時(shí)間: 2025-3-24 11:38
https://doi.org/10.1007/978-3-031-25085-9the focus of this chapter. Representing bivariate data by scatter plots plays a major role in exploratory data analysis, particularly for (1) qualitatively assessing the correlation between variables (or the lack of it) and (2) visualizing clusters. The chapter shows methods and applications.作者: fulmination 時(shí)間: 2025-3-24 16:00
BYEL: Bootstrap Your Emotion Latentos: (a) . and . are continuous variables and (b) . and . are numerical discrete or categorical variables. The chapter describes solutions for both situations, respectively . for (a) and . and . for (b).作者: 亂砍 時(shí)間: 2025-3-24 19:29
Computer Vision – ECCV 2022 Workshopsrresponding event. Timelines can be used to display chronologies, and find application in various fields including history, genealogy, project management, education, journalism, communication, and psychotherapy. The chapter shows how to generate horizontal and vertical timelines using Matplotlib.作者: 稱贊 時(shí)間: 2025-3-25 00:53
Towards Autonomous Grading in?the?Real Worldeflect the start and end dates of the activity; hence the length of the bar is proportional to the amount of time required to complete that task. A Gantt chart can optionally show the activities grouped into phases. The chapter provides examples of Gantt charts with activities alone as well as with phases and activities.作者: 噱頭 時(shí)間: 2025-3-25 07:22 作者: Antecedent 時(shí)間: 2025-3-25 10:52
Proportionstive importance of the categories while also bringing the reader’s attention to each category’s portion of the total. We present different tools for visualizing proportions; these include . charts, ., ., ., ., and ..作者: 接觸 時(shí)間: 2025-3-25 14:24
Groupsroup by ., or to visualize the overall frequency distribution via .. The chapter also describes how to combine the above plots in various ways, for instance by overlapping strip plots with box plots and violin plots with box plots.作者: 國家明智 時(shí)間: 2025-3-25 17:19
Bivariate Datathe focus of this chapter. Representing bivariate data by scatter plots plays a major role in exploratory data analysis, particularly for (1) qualitatively assessing the correlation between variables (or the lack of it) and (2) visualizing clusters. The chapter shows methods and applications.作者: 潰爛 時(shí)間: 2025-3-25 20:59 作者: 有權(quán) 時(shí)間: 2025-3-26 03:04 作者: Breach 時(shí)間: 2025-3-26 06:58 作者: 多嘴多舌 時(shí)間: 2025-3-26 11:37
PERT Diagramsetween the activities, whereas Gantt charts do not. There are two main types of PERT diagrams, both of which are treated in this chapter: those where the activities are represented as nodes of the graph (., AoN) and those in which they are arcs of the graph (., AoA).作者: Cumulus 時(shí)間: 2025-3-26 16:33 作者: 表示向下 時(shí)間: 2025-3-26 20:00
Proportionstitioned into a set of classes, for instance gender, nationality, age group, etc. The classes are usually expressed as a categorical variable; the proportion values are expressed as continuous variables with values in [0, 1] or, equivalently, as percentages. The general goal is to emphasize the rela作者: deriver 時(shí)間: 2025-3-26 21:41 作者: 勉強(qiáng) 時(shí)間: 2025-3-27 04:36 作者: Axon895 時(shí)間: 2025-3-27 08:39
Groupscal or numerical discrete variable (the group variable). There are a variety of choices, and the selection primarily depends on the degree of data aggregation desired for the visualization. We describe how to show every data point in each group through . or ., to display summary statistics of each g作者: 發(fā)生 時(shí)間: 2025-3-27 10:20 作者: SIT 時(shí)間: 2025-3-27 16:58
Bivariate Data continuous) variables. The variables can either represent raw features (e.g., height, weight, blood pressure) or be the result of a transformation from originally multivariate data via some dimensionality reduction procedure. The main tools for representing bivariate data are the ., which are also 作者: 少量 時(shí)間: 2025-3-27 20:32
Trivariate Data(., ., .) where the third variable . is typically numeric and continuous, whereas . and . can be either numerical (discrete or continuous) or categorical. The solution is to plot the data on the . plane and delegate the encoding of . to marker size and/or color. In this context there are two scenari作者: promote 時(shí)間: 2025-3-27 23:23
Geospatial Data Earth’ s surface. Geospatial data are in a way equivalent to trivariate data, except they carry information specific to locations on the Earth’s surface-typically country, region, province, and/or other boundaries-but in some cases also cities, rivers, and other such landmarks. The chapter introduc作者: Alopecia-Areata 時(shí)間: 2025-3-28 03:20
Timelinesstand the order and duration of a series of events occurring (or predicted to occur) in a stretch of time delimited by a start and an end point. The events are usually represented as bullets on a straight line (vertical or horizontal), and each bullet is accompanied by a text label describing the co作者: 羽毛長成 時(shí)間: 2025-3-28 09:03 作者: Homocystinuria 時(shí)間: 2025-3-28 12:05
Gantt Charts), Gantt charts are essentially bar charts in which the bars represent activities (tasks) in a process. In the typical layout the bars are plotted horizontally with the .-axis representing time, while the left of the chart reports the names of the tasks. The initial and final positions of each bar r作者: 固執(zhí)點(diǎn)好 時(shí)間: 2025-3-28 15:04 作者: 表示向前 時(shí)間: 2025-3-28 21:30 作者: Vulnerable 時(shí)間: 2025-3-29 02:06 作者: 起草 時(shí)間: 2025-3-29 04:56 作者: epicondylitis 時(shí)間: 2025-3-29 10:59
Data and Process Visualisation for Graphic Communication978-3-031-57051-3作者: Ceremony 時(shí)間: 2025-3-29 13:34
https://doi.org/10.1007/978-3-031-57051-3Data Visualization; Graphic Communication; Python Programming; Process Visualization; Matplotlib; Seaborn作者: Mindfulness 時(shí)間: 2025-3-29 18:33
978-3-031-57050-6The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: Insensate 時(shí)間: 2025-3-29 20:54 作者: Felicitous 時(shí)間: 2025-3-30 02:12
Introducing DataThe aim of this first chapter is to briefly introduce the reader to the different types of data. We explain the distinction between quantitative and categorical variables as well as ordered vs. unordered variables. Additionally, the notions of dimension and measure are also presented.作者: 音樂戲劇 時(shí)間: 2025-3-30 07:49 作者: Exclude 時(shí)間: 2025-3-30 12:03
http://image.papertrans.cn/d/image/263255.jpg作者: overture 時(shí)間: 2025-3-30 12:21
Lecture Notes in Computer Science, country, province, gender) or a numerical discrete one (e.g., year). Magnitudes indicate the level of some character of a class; hence magnitudes are expressed as a numerical, continuous or discrete variable—for instance population, gross domestic product, area, etc. The . and its variations (., .作者: 規(guī)范要多 時(shí)間: 2025-3-30 16:45
