visualization, more immersive experience with multid imensional data in a virtua reality environment, and holographic visualization of information. There is a pretty good chance that we will see something that we have never seen in the information visualization realm invented before the end of this decade Section 2.9 Review Questions 1. Why do you think there are many different types of charts and graphs? Different types of charts are appropriate for conveying different types of information. Line graphs are good for time-series data. Bar charts are good for depicting nominal or numerical data that can be easily categorized. Pie charts should be used for depicting proportions. Scatter plots and bubble charts are good for illustrating relationships between two or three variables(bubble charts add a dimension via the size of the dot ) Histograms are like bar charts, except they depict frequency distributions. Gantt charts and pert charts are good at illustrating project timelines and task dependencies. Geographic maps, of course show geographic information. Bullet graphs show progress toward a goal. Heat maps and highlight tables illustrate the comparison of continuous values across two categories using color. Tree maps are good for showing hierarchical commonly used in information visualization, they by no means cover it all information. Even though these charts and graphs cover a major part of what Nowadays, one can find many other specialized graphs and charts that serve a specific purpose What are the main differences among line, bar, and pie charts? When should you use one over the others? Line graphs are good for time-series data. Bar charts are good for depicting nominal or numerical data that can be easily categorized Pie charts should be used for depicting proportions. You shouldn' t use pie charts if the number of categories is very large Why would you use a geographic map? What other types of charts can be combined with a geographic map? Geographic maps are useful when the data set includes any kind of location data, includ ing addresses, postal codes, state names or abbreviations, country names, latitude/longitude, or some type of custom geographic encoding. Maps can be used in conjunction with other charts and graphs. For instance, one can use maps to show distribution of customer service requests by product type(depicted in pie charts)by geographic locations Copyright C2018 Pearson Education, Inc
11 Copyright © 2018Pearson Education, Inc. visualization, more immersive experience with multidimensional data in a virtual reality environment, and holographic visualization of information. There is a pretty good chance that we will see something that we have never seen in the information visualization realm invented before the end of this decade. Section 2.9 Review Questions 1. Why do you think there are many different types of charts and graphs? Different types of charts are appropriate for conveying different types of information. Line graphs are good for time-series data. Bar charts are good for depicting nominal or numerical data that can be easily categorized. Pie charts should be used for depicting proportions. Scatter plots and bubble charts are good for illustrating relationships between two or three variables (bubble charts add a dimension via the size of the dot). Histograms are like bar charts, except they depict frequency distributions. Gantt charts and PERT charts are good at illustrating project timelines and task dependencies. Geographic maps, of course, show geographic information. Bullet graphs show progress toward a goal. Heat maps and highlight tables illustrate the comparison of continuous values across two categories using color. Tree maps are good for showing hierarchical information. Even though these charts and graphs cover a major part of what is commonly used in information visualization, they by no means cover it all. Nowadays, one can find many other specialized graphs and charts that serve a specific purpose. 2. What are the main differences among line, bar, and pie charts? When should you use one over the others? Line graphs are good for time-series data. Bar charts are good for depicting nominal or numerical data that can be easily categorized. Pie charts should be used for depicting proportions. You shouldn’t use pie charts if the number of categories is very large. 3. Why would you use a geographic map? What other types of charts can be combined with a geographic map? Geographic maps are useful when the data set includes any kind of location data, including addresses, postal codes, state names or abbreviations, country names, latitude/longitude, or some type of custom geographic encoding. Maps can be used in conjunction with other charts and graphs. For instance, one can use maps to show distribution of customer service requests by product type (depicted in pie charts) by geographic locations
Find two more kinds of charts that are not covered in this section and comment on A concept map is a diagram that shows relationships between concepts, usually showing specific ideas and information as boxes and using arrows to connect them. Concept maps are often used by designers and engineers to organize ideas Another type of chart is an organization chart(or org-chart ). This is a hierarchical tree-structured chart that shows how an organization is structured and how its parts and jobs are related A motion chart is like a bubble chart in that it depicts data on d imensions of the x- axis, y-axis, size, and color of bubbles. In add ition, however, it is also animated that bubbles move and resize themselves over time Section 2.10 Review Questions 1. What are the main reasons for the recent emergence of visual analytics? The growth of visual analytics correlates with the growth of analytics in general More bi and analytics vendors are becoming aware that their customers require quick and preferably interactive visualizations, not just for their normal reportin systems, but also to illustrate predictive and prescriptive decision-making information. Many of the information visualization vendors are add ing the capabilities to call themselves visual analytics solution providers. Conversely analytics solution providers such as SAs are embedd ing their analytics capabilities into a high-performance data visualization environment that they cal 2. Look at Gartner's Magic Quadrant for Business Intelligence and Analytics Platforms. What do you see? Discuss and justify your observations What we can see from Gartner's Magic Quadrant is that the vast majority of the while all of the"leaders'"are"visionaries. " Most of the leaders are either erg challengers"in the visual analytics space are considered to be "niche pla relatively recently founded information visualization companies(e.g, Tableau Software, QlikTech, or Tibco Spotfire)or are well-established, large analytics companies(e.g, SAS, IBM, Microsoft, SAP, or MicroStrategy) that are increasingly focusing their efforts in information visualization and visual analytics. This chart, and the gartner report from which it comes, shows that data discovery/visualization has become a mainstream architecture, perhaps surpassing the olaP/semantic offerings of trad itional bi vendors. This is further evidenced by the change of name of the magic quadrant from"BI to"BI and analytics 3. What is the difference between information visualization and visual analytics? Copyright C2018 Pearson Education, Inc
12 Copyright © 2018Pearson Education, Inc. 4. Find two more kinds of charts that are not covered in this section and comment on their usability. A concept map is a diagram that shows relationships between concepts, usually showing specific ideas and information as boxes and using arrows to connect them. Concept maps are often used by designers and engineers to organize ideas. Another type of chart is an organization chart (or org-chart). This is a hierarchical, tree-structured chart that shows how an organization is structured and how its parts and jobs are related. A motion chart is like a bubble chart in that it depicts data on dimensions of the xaxis, y-axis, size, and color of bubbles. In addition, however, it is also animated, so that bubbles move and resize themselves over time. Section 2.10 Review Questions 1. What are the main reasons for the recent emergence of visual analytics? The growth of visual analytics correlates with the growth of analytics in general. More BI and analytics vendors are becoming aware that their customers require quick and preferably interactive visualizations, not just for their normal reporting systems, but also to illustrate predictive and prescriptive decision-making information. Many of the information visualization vendors are adding the capabilities to call themselves visual analytics solution providers. Conversely, analytics solution providers such as SAS are embedding their analytics capabilities into a high-performance data visualization environment that they call visual analytics. 2. Look at Gartner’s Magic Quadrant for Business Intelligence and Analytics Platforms. What do you see? Discuss and justify your observations. What we can see from Gartner’s Magic Quadrant is that the vast majority of the “challengers” in the visual analytics space are considered to be “niche players,” while all of the “leaders” are “visionaries.” Most of the leaders are either relatively recently founded information visualization companies (e.g., Tableau Software, QlikTech, or Tibco Spotfire) or are well-established, large analytics companies (e.g., SAS, IBM, Microsoft, SAP, or MicroStrategy) that are increasingly focusing their efforts in information visualization and visual analytics. This chart, and the Gartner report from which it comes, shows that data discovery/visualization has become a mainstream architecture, perhaps surpassing the OLAP/semantic offerings of traditional BI vendors. This is further evidenced by the change of name of the magic quadrant from “BI” to “BI and Analytics.” 3. What is the difference between information visualization and visual analytics?