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
knitr::include_graphics("http://ars.els-cdn.com/content/image/1-s2.0-S1043276005002602-gr2.jpg")
Answer Q1-a
Visual cues: based on color, shape, size length and direction.
Coordinate system: the relationship between ages and psychosocial
maturity graph has cartesian (x,y) coordinate system.
Scales: the graph’s scales are linear numeric for y axis, and it is also
initiated from the y scale of 0 age year till the y axis scale of 20
years of age, and graph further has logarithmic backward numeric and
initiated from 20,000 years of x-axis scale till present year.
Answer Q1-b
The graph has four pairs of similar or identical variables such as
menarche and psychosocial maturation. Based on the graph, it explains
the variances between these two categories, and it is based length,
direction, and positions. The length of menarche and psychosocial
maturation were different and around 2000 years in addition to the
length. The position of the menarche also varies compared to another
variable in the present year.
Answer Q1-c
The graphic data consist of different elements of color related visual
cues and the graph data depicts the main purpose of the data. It could
be more specific and well explanation of the variances. Some of the
graphs are missing the label and legend and also using different color
group might be more professional and doesn’t make the visual too
bright.
Question #2
Answer the following questions for this graphic World’s top 10 best selling cigarette brands 2004-2007
knitr::include_graphics("https://farm3.static.flickr.com/2695/4149541331_482fbb0aaf_o.png")
Answer Q2-a
Visual cues: based on color and shape length.
Coordinate system: it is cartesian (x,y) coordinate system.
Scales: the graph’s scales is linear numeric for x axis and it is also
initiated from the x scale of 0 dollar till 500 dollar and the graph
further has categorical for depicting different categories of cigarette
brands.
Answer Q2-b
There are two variables depicted in this graph
Variable 1: Cigarette brands, which can be seen on the y-axis and the
visual cue is colors.
Variable 2: Sales in Billions which are depicted on the x-axis and
visual cue is the shape length.
Answer Q2-c
The graphic data consist of different elements of color and length
related visual cues for the distinction between the various sales
percentages of some of the world’s topmost cigarettes brands between the
2004 - 2007 and although the graphic data depicts the primary purpose of
the data should be in a clearly representing views. The elements of the
graph were depicted in structured presentation.
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”).
knitr::include_graphics("https://images-fe6d.kxcdn.com/img/9/93c8b3d7160821081a23e6119c0aea7026bb82da.png")
Answer Q3-a
This graph displays the keto diet but not well explain the numbers and
it is very hard indicate and see the numbers and audience have nothing
to compare. The visual cues are based on the color but it is very hard
to tell the differences.
knitr::include_graphics("https://str.com/sites/default/files/inline-images/PR_20211108_US_Forecast_1.png")
Answer Q3-b
This graph displays the trends and numbers of the hotel growth based on
the demand, ADR and KPIs. The visual cues are color and length bases,
but it is also missing the units of numbers and what stands for. It
tells the years but not dollar units for the index and these three
indices have hard time to find the relationship. It only analysis the
demands but nothing about the trends in each category tells the
correlation between each other.
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.
In my opinion, I think designer’s choice is very objective. Each person has their own perspectives and views of point. And their graphs will display their thoughts and even including their objective views. Designers have their own choices, and they usually highlight the points and messages they want to delivery to the audience. The best practice is to be professional at the same time the design should also delivery the main message with clear visual graphic. I would made different choices because some of the colors are very bright and missing the correlation of the messages and relationships.
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.
In my opinion, I found the designer’s graphic involves the coordinate system in their graphs, cartesian, and polar coordinate system, and in addition to utilization of varied ranges of appealing color visual cues elements and it despite that if I’ve to make some different choice and further have to improve in these graphs.