ILA 5

Haley Helms

Nigeria's agricultural employment share of the total labor force

http://www.ers.usda.gov/data-products/chart-gallery/detail.aspx?chartId=60500

 

  1. The first thing to catch my attention was the various forms of lines and dots throughout the graph. The subtle green dots with varying color tones blend into the background of the graph and go almost completely unnoticeable. The lines are easy to differentiate to understand the difference between the three different estimates.
  2. The graph is clearly showing the decline in Nigeria’s agricultural share of the total labor force using estimates from various sources, including ERS, FAO, and Fuglie and Rada. The graph is somewhat misleading because it shows a sharp decline that gives the viewer an initial thought that there is a big change. Over the course of 60 years the sharpest decline only changed from 0.8 to 0.2 of the share. Also, the graph lists out the information all the way to 2020 which is not valid information.
  3. The greatest dislike in my opinion would be the green dots used within the line graph to illustrate different surveys and questionnaires. The lightest color of green can hardly been seen while the others are just simply confusing while mixed into the lines. The graph also should have indicated within the title that the information was based on estimates rather than valid data that can be proven. I believe that the sharp contrast in colors with the lines and dots is a positive factor for the graph because they can be easily differentiated even when they follow the same path.
  4. The most important change I would implement is the use of two graphs or changing the dots into their own separate lines. The dots are confusing and hard to follow and seem as if they don’t fit into the same data that is being illustrated within the graph. I would also either indicate that the graph is showing estimates or simply find data that has been found from factual information. The graph can be extremely misleading as the information may not be completely true.

 

Record harvested area drives surge in 2016 dry edible pea and lentil production

http://www.ers.usda.gov/data-products/chart-gallery/detail.aspx?chartId=60495

 

  1. The first thing I noticed was the contrast between the yellow and blue. The colors work perfectly together within a graph because the comparison is easily recognized within the first few seconds. It seems as if there is a substantial increase of dry pea and lentil production within the U.S.
  2. The graph is showing the upwards trend of the area and growth of dry pea and lentil production in the United States. The graph is misleading because the final jump in the graph is a projection, yet it is only stated within the fine print. There are no other years that show a sharp increase like the years 2016/2017 so although they may predict that will happen, they may have done that in previous years and the increase was not as significant as they initially assumed it would be.
  3. I dislike the use of both sides of the y-axis. The double sides are distracting and even though the graph is simple to understand once the viewer takes the time to analyze, the viewer is initially overwhelmed by the axis on the far right. Also, the numbers along the x-axis are confusing because 2013 and every other year is seen on two separate bars. As stated earlier, the color contrast attracts the viewer and shows the difference between the lentils and dry peas immediately.
  4. The first change I would make is removing the right y-axis and creating either a second graph of using a line graph rather than a bar graph to show the increase in area as well. The information about the area is beneficial to the graph, but it is overwhelming and confusing to the viewer. Secondly, I would use each bar to represent only one year at a time. Multiple years cannot be shown on each graph if it does not indicate when the time frame began and ended. For example, the creator could have mentioned within the fine print that the time frame lasted from June to May of the following year.

 

total-fat-content-in-gluten-free-foods-in-austria

 

I chose to map the total fat content within gluten-free food alternatives that are offered throughout Austria. I chose fat content information over the energy, carbohydrates, and many others because it shows a high trend of total fat within food options that would not typically have such high levels if it contained gluten. There is a growing issue within the gluten-free community that arises from alternative food options containing substitutes that contain twice the amount of sugar and fat and ultimately causes the person to gain weight. I chose to make a simple bar graph to focus on the information and to make the data easy to comprehend. I chose green bars to stand out to the viewer and to catch their attention without causing them to become overwhelmed.

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2 responses to “ILA 5

  1. The graphs you picked to comment on were very easy to understand and follow, and really conveyed their information quickly and effectively. I thought it was very interesting how specific the graph you made was. It was easy to read, while still showing very specific information. And the green was easy to follow.

    Like

  2. I think that the charts that you choose to use are interesting. One suggestion I would have for the chart you did would be to color the bars by type of food. That would make it easier to read and more interesting.

    Like

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