Forum17analyze visuals11-2_BT

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Dec 6, 2023

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WRIT 3441 Technical Editing: Forum 17 due Nov 2. Chapter 9: Editing Visuals Chapter Activities 1. For a study published in the January 2018 issue of the open-access journal, Aquaculture and Fisheries , 140 individuals were interviewed at two sites in Bangladesh. They were asked about the frequency of their use of resources (firewood, leaves for roofing, prawns, crabs, etc.) of the Mangrove Forest. Their responses were summarized and presented in a bar graph (reprinted below). You should also look at the visual in its original context at https://www.sciencedirect.com/science/article/pii/S2468550X17300898#fig2 . In two or three paragraphs, discuss the problems with the bar graph and indicate your suggested changes . (Learning Objectives 2 and 4) Fig. 2 Frequency of using mangrove resources in a week. a. One problem with this chart is that a source is missing from the figure label below the chart. Adding a source for the study to the figure label would help improve the reliability and credibility of the study in which the graph is based on. In the graph title, the creator should specify when this frequency is from, such as a year, period, or other unit that would give some insight into when this data is from.
b. Another change that could be made to this graph is having percentage labels above each bar to clearly depict the percentage for each bar so that the user doesn’t have to guess the exact percentage. Another issue is the labels below each section of the bars and the order of the bars. You could change the order so that they are increasing correctly, and, change the labels for the bars to make them clearer for the audience. Consider using “7, 6, 5” or even something else, just as long as it conveys the correct message. 2. Using the line graph below, first , write a short appraisal of the line graph by considering each of the following: The orientation of the x-axis The identical titles in the data field and below the graph The missing axis labels The missing vertical line for the y-axis and the heavy gridlines The missing caption (i.e., commentary) The typos and other errors in the text below the graph Second , indicate how the line graph ( including the caption) should be changed and explain the changes you are suggesting. Figure 1.5 Income from Sales of Heavy Equipment (Articalated Trucks, Excavators, Delimers, Clam Skidders, Dredge Lines, etc.) 2014–2019 (in millions USD) (Learning Objectives 2 and 3)
a. Appraisal: This graph leaves a lot to be desired and is missing key components that would increase the readability and overall value of this visual. Several missing labels, questionable design choices, and spelling problems all lower the value of this visual. b. One change would be to lighten the grid lines(or remove them entirely) and add a y-axis line so that you have a solid base for your graph. I would also flip the orientation of the x-axis so that the years are increasing. You also need to change your figure label so that it isn’t verbatim with the title of the graph itself. Also, you need to fix spelling errors in your figure label, specifically “articulated” and “delimers”. 3. Find a visual online that you see as misleading. Copy and paste it here or add a link to it. Analyze the graph by indicating a) how it misrepresents the data and what items were altered to mislead the reader, and b) how it should be revised to accurately reflect the data. (Indicate all items that need revising.)
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a. My main problem with this graph is the alternating colors for each country. Also, there is no figure label, which makes it very difficult to understand where this study came from and what data it is based on. There are no x or y axis labels so the user is left to guess what each axis is identifying. Also, “EEA” is not specified as anything, even though one can probably assume it is something to do with Europe. It also misrepresents certain countries CO2 emissions. b. I would add x and y axis labels, change the consistency of the colors to one color, add context for “EEA”, add a figure label with a source for the data as well as other specifiers. Also, if these percentages add up to 100, change this to a pie chart. I haven’t done the math but there is no reason for this to be a bar graph if these percentages add up to 100.

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