In this chapter we discussed why well-designed data graphics are important and we described a taxonomy for understanding their composition.
The objective of this assignment is for you to understand what characteristics you can use to develop a great data graphic.
Each question is worth 5 points.
To submit this homework you will create the document in Rstudio, using the knitr package (button included in Rstudio) and then submit the document to your Rpubs account. Once uploaded you will submit the link to that document on Canvas. Please make sure that this link is hyper linked and that I can see the visualization and the code required to create it.
Question #1
Answer the following questions for this graphic Relationship between ages and psychosocial maturity
Identify the visual cues, coordinate system, and scale(s)
How many variables are depicted in the graph? Explicitly link each variable to a visual cue that you listed above.
Critique this data graphic using the taxonomy described in the lecture.
Visual cues -
Coordinate system - Cartesian system is being used
Scales - X-axis -> Time period (nonlinear scale) Y-axis -> Age in years as a linear scale
Question #2
Answer the following questions for this graphic World’s top 10 best selling cigarette brands 2004-2007
Identify the visual cues, coordinate system, and scale(s)
How many variables are depicted in the graph? Explicitly link each variable to a visual cue that you listed above.
Critique this data graphic using the taxonomy described in the lecture.
Visual cues
Coordinate system - Cartesian system is being used
Scales - X-axis -> sales in billions (numeric linear scale) Y-axis -> company achieving the sales (categorical scale) b. Two variables are being depicted in this graph, first is the name of the company whose sales have been observed and the second is the amount of sales done by a company. 1. color is being used to explain the first variable as it is used to explain which company’s sales are being depicted. 2. length of the bar is being used to explain the second variable as it is used to show how much sales have been done by the company 3. text is being used to describe the first variable as it is being used to denote the name of the company against the bar for that company
Question #3
Find two data graphics published in a newspaper on on the internet in the last two years.
Identify a graphical display that you find compelling. What aspects of the display work well, and how do these relate to the principles that we have just gone over in lecture. Include a screenshot of the display along with your solution (Hint:use the following in a code chunk: knitr::include_graphics(“your_graphic”).
Identify a graphical display that you find less compelling. What aspects of the display don’t work well? Are there ways that the display might be improved? Include a screenshot of the display along with your solution (Hint:use the following in a code chunk: knitr::include_graphics(“your_graphic”).
I particularly enjoyed the visualizations used by the New York Times during the 2022 midterm elections. I enjoyed the interactive nature of the data visualization, as you could view results at a national stage and by simply hovering over each state, you were presented with additional information in a dialog box. On clicking the state, you were guided to a new page for the state and even to the specific districts in the state with a live count of the votes reported so far. I enjoyed the use of color to denote the capturing of a seat by one party over the next and the use of textual cues to provide context to the graphic. [Link to New York Times Election tracker] (https://www.nytimes.com/interactive/2022/11/10/us/elections/results-house-seats-elections-congress.html)
Question #4
Briefly (one paragraph) critique the designer’s choices. Would you have made different choices? Why or why not? Note: Link contains a collection of many data graphics, and I don’t expect (or want) you to write a full report on each individual graphic. But each collection shares some common stylistic elements. You should comment on a few things that you notice about the design of the collection.
Answer:
This collection of graphics are thematically consistent. The designer has used a variety of visual cues and co-ordinate systems while sticking to % based scales in this collection. The use of colors is consistent with groups within each grpahic sharing the same color scheme to denote ranking with light blue denoting the highest ranking response by % of respondents and black denoting the smallest group, the gradient of colors over this scale while contrasting do not have a theme.I would have maybe chosen two colors that are contrasting to denote the ends of the colors of the theme and include colors that lie in-between them to ensure a logical gradient that further drives the point home of the ordering of these groups. Designer makes uses of extensive textual cues to share information with the reader including the use of a key-takeaway before the actual graphic to prime readers well. The collection does a great job at explaining what it sets out to do, but underlining the significant takeaways from their survey of Data Scientists and Data Science within a company.
Question #5
Briefly (one paragraph) critique the designer’s choices. Would you have made different choices? Why or why not? Note: Link contains a collection of many data graphics, and I don’t expect (or want) you to write a full report on each individual graphic. But each collection shares some common stylistic elements. You should comment on a few things that you notice about the design of the collection.
Charts that explain food in America
Answer: The designer appears to have curated a collection of data graphics all of which center around the agriculture industry and its different aspects. The designer includes a wide variety of data graphics that include cartesian plots, pie charts, a variety of map plots and even visualizations that depict more than 3 dimensions (gif of plot over time). Despite the curation from different sources, there is a consistent language of providing a key takeaway from each graphic before it is presented and providing a caption for each grpahic that provides extensive detail on it and it’s source. I would not have used graphic 14, since it does not make sense and the designer hasn’t explained how to interpret that warped world map.