Week 4 Quiz>> Data Visualization
Week 4 Quiz
TOTAL POINTS 8
1.When creating an overview visualization of a large dataset, it is most important to:
1 point
2.The process of zooming on the data plotted in a visualization, where the zoomed region then fills the entire display:
1 point
3.The goal of the filtering step of the information visualization mantra is to:
1 point
4.Which of the following benefits of a fisheye lens is LEAST important for data visualization?
1 point
5.Suppose we have a dataset representing an image consisting of pixel records of the form (x,y,b) where x and y are the spatial coordinates of the pixel and b is the brightness of the pixel. Then, which of the following provides the best histogram of the data?
1 point
6.Suppose we have a dataset representing an image consisting of pixel records of the form (x,y,b) where x and y are the spatial coordinates of the pixel and b is the brightness of the pixel. Then, which of the following represents a “rollup” of the x and y dimensions of this dataset?
1 point
7.Suppose we have a dataset representing an image consisting of pixel records of the form (x,y,b) where x and y are the spatial coordinates of the pixel and b is the brightness of the pixel. Which axis definition would we NOT use if we wanted to plot the pixel brightness at a unique axis location for every pixel in the image?
1 point
8.When designing a dashboard visualization, what should the primary concern be?
1 point
Related Questions & Answers:
- Week 1 Quiz Week 1 Quiz >> Data Visualization Week 1 Quiz TOTAL POINTS 10 1.Which kind of visualization would you use ... Read more...
- Orientation Quiz Orientation Quiz >> Data Visualization Orientation Quiz TOTAL POINTS 5 1.I am required to read a textbook for this ... Read more...
- Week 4 Quiz >> R Programming Week 4 Quiz >> R Programming 1. What is produced at the end of this snippet of R code? set.seed(1) ... Read more...
- Week 4 Quiz Week 4 Quiz >> Getting and Cleaning Data TOTAL POINTS 5 1.The American Community Survey distributes downloadable data ... Read more...
- Categorizing things involves assigning items to categories. Identifying themes takes those categories a step further, grouping them into broader themes or classifications. 5. Categorizing things involves assigning items to categories. Identifying themes takes those categories a step further, grouping them into broader ... Read more...
- Making predictions is one of the six data analytics problem types. It deals with using data to inform decisions about how things may be in the future. Select the scenario that’s an example of making predictions. 4.Making predictions is one of the six data analytics problem types. It deals with using data to inform decisions about ... Read more...