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AnswersQ8
- Is a histogram an example for a visualization that is using elision (grouping together many items that share one property (usually being in the same interval)?
- no, they are an example of aggregation!?
- As far as i understood it, the design choices discussed in this chapter are mainly applied when designing a visualization were the possibility of user-interaction is given (the use can more or less choose what s/he wants to see) - especially the ones that require 3D-visualization, as this type of visualization comes with the cost of occlusion which can be compensated by user interaction (f.e. if the user can move the model). What are the alternatives, when interactive visualization is not possible? Would f.e. a slideshow of different views of the model be a good idea (f.e. some that shows it in general from different angles, some that shows several detailed views,…)?
- a "slidshow" is like an animation -- as discussed in class, use with caution. "interactive" slideshows are interactions again. Interaction is 'always possible' (mostly even needed).
- I heard that few people can actually 'think in 3D'. Now I don't exactly know what that means, since I have the impression that other people as well as me are usually able to do so. But if this is true, shouldn't that be considered when visualizing data in 3D?
- yes and no. Some folks have difficulty with 3D, true. But even those that don't -- it costs effort! Effort better spend on the problem at hand, not on the visual encoding! :)
- How can be augmented standard widgets for filtering controls by concisely visually encoding information about the dataset?
- Sorry, I don't understand the question.
- Why simple averaging is very likely to have the effect of avoiding the elimination of the interesting signals in the dataset in the process of summarization?
- example is Anscombe in Chapter 1.
- What is a fine-grained structure in the lower-dimensional plots?
- Context? What do you mean?!
- Are there any specific "rules" for constrained navigation, for example, how many objects to show when zooming in/out,etc? Or it depends on visualization tool and data?
- I think this is not a one line answer, and Tamara is doing a good job explaining this. What were you missing in her explanation?
- What is, for example, the best way to project a 3D model of a human skull or pelvis to a 2D piece of paper?
- E.g. volume rendering, see http://en.wikipedia.org/wiki/Volume_rendering
- I can see how item filtering would work with silders for range etc., but how would one go about filtering attributes with a GUI. A slider selecting a range of attributes probably won't do.
- attaching a numerical "quality" to all attributes helps you filtering them by a slider now.
- Is it wise to use boxplots? They seem terribly complicated, most common people will never even have heard of lower and upper quartiles.
- see class -- most folks in class knew them. Still, don't use 'em in journalism for the masses.
- Could you explain Principal Component Analysis again in the lecture?
- I tried.
- Zusammenhang zwischen Navigieren und ZusammenfassenIst das das Zoomen (navigate) zwischen Ebenen, wie in Figur 11.10 (Seite 253) gezeigt, die Auflösung einer vorhergehenden Zusammenfassung (aggregate)?
- z.B. gehen wir noch einmal in der Vorlesung drauf ein.
- I don´t understand what is the meaning of Figure 11.2 on page 241 in context of Filtering. What should be filtered here? Do the User has any kind control on these dataset or in is loaded in the visualizator? Is it possible to filter any attributes and what kind of information is going to be filtered with this utility?
- I hope the video made this clear.
- Are there any kinds of 3D – Scatteplots and why is the 3D perspective not often used in the Visualization.
- There are some, but try to analyse this scatterplot ( http://i.stack.imgur.com/CeGTY.png ). Are you able to distinguish the points that are nearer from others? Without rotating you are not able to see the points in actual 3d. Also there is the problem of occlusion which makes understanding the visualization very difficult. Also, see some discussion in Chapter 6.
- According to p.248 and the item Navigation with rotation of the “camera” I would like to know if there is any way to optimize the view because with 3d objects it is better to use rotation, to see the details, but using the rotation in 2d vie the picture is not going to be clear and detailed for the User.
- we'll talk a bit about this on Thu.
- Was genau wird in Figure 11.16 dargestellt? Trotz einer guten Einführung in das 'Slice and Cut' ist der Sprung von 3D auf XD leider nicht (oder nur schwer) nachvollziehbar.
- Verstehe ich das richtig, dass Figur 11.6 einen Scatterplot zeigt, bei dem gleich auftretende Attribute farblich kodiert werden? Falls ja: das gegebene Beispiel erinnert aufgrund seiner Gleichmäßigkeit mit einem StackedAreaPlot zu verwechseln und erschwert das Verständnis.
- siehe Vorlesung Do.
- […] Ist der SolarPlot tatsächlich ein empfehlenswertes Idiom?
- hmm -- kommt auf die Anwendung an!
- Was sind Hierarchical parallel coordinates? Konnte die Erklärungen und das Beispiel leider absolut nicht nachvollziehen.
- in Vorlesung besprochen.
- Which vis tools not support both types of navigation?
- ?? what "both" types are you talking about?
- Does the MDS technique is still recommended to use? because a human eyes are very sensitive with a color information, it might be difficult for some people.
- Huh? Not following. Colors have nothing to do with MDS.
- "All these vis systems seem to be designed to show large amounts of data, what is the minimal amount of data to use with these systems?" and "It looks like the biggest reason for using on of these systems seems to be number of data to shown, is that true and are there other maybe more easily readable methods to see similarities like VisDB does?"
- Typically, we have a large-data problem. If there are very few data points, one can look at them one-by-one, even in a table view. But it always depends on the application.
- The systems also seem taylored for specific uses, and for people that are familiar with the data that is shown, are there more widely used scenarios for using one of them?
- "Visualization for the masses" is a research topic. Hence, Vis of open-Data is challenging and a worthy thing to brainstorm about.
- Wie kann man sich ein ein Interface für unconstrained Navigation vorstellen? Gibt es das überhaupt?
- Zeige ich am Do.
- In welchen Faellen sind Non deterministischen Reduktionen besser als deterministische oder umgekehrt?
- linear vs. non-linear? Siehe Vorlesung.
- Shouldn't aggregation be more discussed at the level of the data? Aggregation combines several items to a new one. So the visualization of a single item and the visualization of a aggregation of several items is the same, or isn't it? (f.e. in a maps, when i aggregate two regions into one new bigger one)
- DOn't understand the question, really. The visual encoding of aggregated items could be similar or different, depending on the purposes.
- The only difference between histograms and bar charts is the missing gap and the fact, that histograms are based on aggregated data. But isn't almost every diagram somehow aggregated? Let's say monthly income (in €) displayed in a bar chart where one bin represents a whole year of income. Shouldn't that f.e. be in a histogramm?
- no. histogram of income would have $ on the x-axis and #-of-people on the y-axis.
- Should boxplot charts be used for the broad viewer? While boxplot charts give a good impression of the data, many viewers do not understand them. So should I use them when my viewership is big with members of every social layer. I ask this, because nontheless I attended a technical high school I first heard of boxplots at university. And it is not unusual to see them in some newspapers. Which alternatives to boxplots which are easier to understand?
- see above. Alternatives -- histograms.
- Continuous Scatterplots: The description mentions that many HW-acceleration-techniques exist to avoid explicit computation. Which exactly, and which of those are used in praxis?
- The most commonly used one is hw-acceleration by GPUs.
- Whats the difference between a continuous scatterplot and 2D-Histogram?
- There is a similarity. "continuous scatterplots" are meant with quantitative data. 2D-hists could work with any data.
- Is meant by embedding focus and context together (as described in 12.2) something like a overview map on a country map? Would that be a good example?
- we'll talk about this in detail on Thu.
- Isn't distortion with a fisheye lens, as shown in figure 12.5, only useful in interactive vis where the user can point directly to the field of interest in a mere of data? To be honest, I don't see much usefulness in a static fisheye lens.
- it's an interaction technique, not meant to be static.
- What are the differences between magical lens, magnification fields, superimposing and fisheye lens?
- what part of the explanation in the book did you not understand!?
- I don't see/understand the distortion part in figure 11.4 (p. 260), it looks just like the DOITStree in figure 11.2 (p.258)
- you have a wrong book. I don't have a figure on page 258.
- Why, with which properties ist FilmFinder specific example of the general dynamic queries approach?
- ? dynamic queries are queries the user changes dynamically!
- "Ich mag die Einführung zu Histogrammen nicht, da sie meiner Meinung nach falsch und irreführend ist. Wenn ich mich nicht irre, ist bei einem Histogram nicht die Höhe sondern die Fläche des Balkens das ausschlaggebende Kriterium, und das wird nicht absolut nicht so präsentiert." and "Concerning histograms and bar charts (for quantitative data), as far as I know the main difference is that the spatial encoding in histograms is area-based. Also, it would be interesting to learn about aggregation criteria for histograms. (So, 'more on this point?' - yes!)"
- ??? No -- histograms are discrete beasts. The height of the bar is critical, not it's area (although the are is a constant factor of the height.)
Critique / Additional Notes
- Principal Components Analysis(PCA): Figure 11.11 shows variance with additional synthetic dimensions, but I don't understand how should the Figure be interpreted? Maybe this is not a good example for PCA.
- As all readings I also like this chapter, but I think that the examples way to abstract. Like the HyperSlice, I don't think that I get the idea how to use it or for which case of visualisation.
- Das Buch selbst finde ich sehr gut geschrieben, jedoch sind manche Definitionen ziemlich verwirrend bzw. schwer nachzuvollziehen. In diesem Kapitel fand ich zum Beispiel den Teil "Hyperbolic Geometric" etwas verwirrend. Hier hat mir auch die Grafik nicht wirklich geholfen es zu verstehen. Manche Dinge sind im Text sehr einfach erklärt aber schnell wird es sehr kompliziert. Bei manchen Visualisierungstechniken kann ich mir auch kaum vorstellen, dass man diese in der Praxis oft benutzt (z.B. Grafik 12.10).
- Ich finde, das Example: SolarPlot ist doch etwas schwer zu verstehen, vielleicht auch, weil die Art des Diagramms doch sehr ungewöhlich ist.
- Das Example: Hierarchical Parallel Coordinates ist bei begrenzter Anzahl übersichtlich und gut zu erkennen, aber wenn es zu viele Linien werden ist es nur noch ein großes Durcheinander und man kann darin gar nichts mehr sehen.
- Mag die einfache und nachvollziehbare Erklärung der Vase plots (Fig. 11.7b)
- Ich komme mit den voranschreitenden Kapiteln des Buchs von Tamara Munzner immer mehr zu dem Schluss, dass allgemein erläuternde Beispiele zu kurs kommen. Oftmals werden sehr abstrakte Erklärungen mit sehr spezifischen und eher komplexen Beispielen erläutert, die dem Verständnis nicht beitragen, sondern im Gegenteil das Verständnis eher sogar behindern.
- I still don't get it, why reducing the amount of data is a crucial strategy in designing a vis tools.
- because, in general, I cannot show all data at once. there is not enough room on the screen. :)
- according to the figure 11.7 (b), vase plots uses additional spatial dimension within the glyph by altering the width of the central box according to the density, it's seems quit clear, but the shape in the graph is quit difficult to understand, especially at 11.7 (b) for (s) Skewed shape.
- why?
- Eine Anmerkung hätte ich nocht zu "Geometric Zooming". Am Ende dieses kurzen Abschnitts schreibt sie ob sie noch zusätzliche Informationen dazuschreiben sollte oder ob sie ein Bild einfügen sollte. Ich finde zwei einfache Bilder von einem Menschen der ein Blatt Papier hält würden das ganze noch einfacher machen. Auf einem Bild hält er das Bild etwas weiter weg und auf dem anderen näher am Gesicht.
- I wasn't happy with figure 12.3. Maybe rethink/redo figure 12.3? I think it would be good to actually have some context with what the figure shows. For example what does the value 2.5 stand for?
- Etwas verwirrend finde ich es, dass manchmal eine Grafik zum nächsten Beispiel bzw. Unterkapitel schon im Beispiel davor eingefügt ist. (Abbildung 11.6: Es wird Item Aggregation am Beispiel von Histogrammen erläutert und im Text ist schon eine Grafik zu Scatterplots). Ich vermute dass dieses Problem an dem Entwurf liegt und gelöst wird, sobald das Buch veröffentlicht wird.
- Figure 11.10 (p.268). Maybe a combination of a and c could be beneficial. A white background to highlight the focused element and their closest neighbors that slowly fades out towards the edges.
- ?? again, wrong book.
- Panning is, if I am not mistaken, a rotation of the camera around a horizontal or vertical axis (and not a kind of translation as implied in 11.5).
- no. :)
Letzte Änderung: 02.04.2014, 21:18 | 2294 Worte