ANLY 512 Problem Set 2

Introduction to Data Visualization

Directions

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

1. Identify the visual cues, coordinate system, and scale(s)

• It is presented in Cartesian coordinate system ,
• on the scale of 20,000 year. -Visual cues. It explains how menarche and psychological maturity increases positive slope at except at the last event where trend goes in opposit direction for menarche. Size of the green versus red area explains distribution of each type.

2. How many variables are depicted in the graph? Explicitly link each variable to a visual cue that you listed above.

• Age (Years)
• time (at scale of 20,000 years)
• Menarche v/s psychological maturity.

3. Critique this data graphic using the taxonomy described in the lecture.

• Visual Cue: It uses different colors, size, slope and -coordinate system: Cartesian Coordinate system
• scale:Numeric
• context: purpose of data graphics is to make meaningful comparisons

Question #2

Answer the following questions for this graphic World’s top 10 best selling cigarette brands 2004-2007

1. Identify the visual cues, coordinate system, and scale(s)

• mentioned horizontal Bar graph uses different colors for different brands, no size difference, covers adequate area of graph

2. How many variables are depicted in the graph? Explicitly link each variable to a visual cue that you listed above.

• categorical variable of Different brands of cigarette
• Sales in Billions (Dollars)

3. Critique this data graphic using the taxonomy described in the lecture.

• This graph is well represented with comparing different brand sales in billions to compare. It could have been more insightful if it would include volume of cigarettes to compare how much each cigarettes costs.

Question #3

Find two data graphics published in a newspaper or on the internet in the last two years.

1. 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”). https://vkecom.com/valentines-day-marketing/

• This valentine day data graphics from the link explains men versus women spending across different categories of gifts in proportion.
• It has categorical variable of gift type, Proportion in percentage, and gender as 3rd variable for comparison.
• it follows principles of visialy compalling and insightful date presentation

2. 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”). https://viz.wtf/post/673381708986499073/presumably-generated-based-on-the-relative

• from the link above, it compares Employee well being versus DEI
• It misses out explaining what DEI stands for
• graph is generated based on the circle inscribed in another circle instead of polar coordinate system (Pie chart), makes it hard to compare percentage

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.

What is a Data Scientist

Answer: - Overall it has used one color scale makes it easy to understand even if it gets print out in black and while late on - first pie chart explains percentage in different shade easy to identify, with conclusion line - second, shows area comparison but missing 100% reference point, may mislead audience
- third, showed fading effect as it changes. Sometime it is hard for person to understand if the difference is less - moving forward it include categorical variable with % comparison of business analyst versus Data scientist based on degrees - data in bubble on other showing size comparison - Pie chart - iconic representation - Some more Percentage comparison in form of Bar chart - Departmental shares in Data science field in business

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: these 40 different graphics shows some data based in agriculture. these data contains spacial elements with longitude and latitude that represents different data in United states. It uses different colours, data point size, , 3D maps etc to represent it on the Map.