Data Viz

This first visualization seen above visual explain which resources more labor intensive by the use of a tree map. This map orders the labor intense product by using size and color. The most labor intensive is beef which was not too surprising given that it is a worldly favorite. Then is shows dairy, poultry, pork, and eggs which are all different shades of pink and then it goes into smaller sections of blue and green with fish, roots, pulses, maize, rice, wheat. Also, each section has a number which tells you how many tons are being produced. The reason I thought this specific visualization was interesting is because I have watched films in previous classes that went over the production of foods that are difficult to produce. This made me curious because initially I thought it would have been grains rather than beef but as soon as I saw that it was beef it made sense. It is also very fascinating to see that beef being the most labor intensive also is a very popular product. It makes me wonder how do they produce so much of the beef if it is so difficult to produce. It just goes to show if it is in high demand producers will find a way to produce what is needed.

 

This visualization shows where Nike products are produced. There is a total of ten countries where production occurs most, China being the largest supplier of manufacturing factories. China has 140 factories that produce Nike products while Italy only has about eighteen. I learned from this visual that Nike produces their product in more than one country which makes sense now that I see it but before I thought it was only China and the United States. I think this is useful because Nike store are all over the world and there are million of people who wear or own their products so, it is logical that we should probably know where the items we own come from. The reason I chose this visual is because Nike recently launched their new campaign that sparked some controversy, and someone had mentioned that it was shocking that people are no longer consumers of Nike because they used Colin Kaepernick in their campaign, but they still wore them even though Nike produces their shoes in sweat shops with horrible conditions and horrible pay. When I saw this, I was curious as to where the factories are located. I also own Nike items and my curiosity is the main reason I was lead to this visualization.

2 Replies to “Data Viz”

  1. The visualizations are very easy to understand thanks to the analysis used. I liked how you included big pictures of the visuals, but I wish there were links to them to find them. For both graphics, you had useful information about them making it easier to understand them.

    For the first visual, I like how you related the information to your previous education and explained how it surprised you at first that beef was the most labor intensive, but how that actually made sense. I also liked how you pointed out that even though beef is the most difficult to produce, but because of the high demand, producers will find a way to produce it showing how much the economy is controlled by consumers.

    I found the second visual very interesting as well. I too had no idea that Nike shoes where produced in 42 countries. I really like that you chose the visual because of the controversy around the company due to their recent campaign with Colin Kaepernick whereas there was less backlash from the shoes being produced in sweatshops. I do wish there has been more information on the graphic as opposed to the reasoning behind it as the visualization did not include anything about people buying less Nikes, but still very interesting.

    Overall, your insight into the visualizations was very helpful and interesting. I enjoyed your reasoning behind choosing the graphics as well.

    https://www.huffingtonpost.com/entry/nike-online-sales-soar-in-wake-of-kaepernick-ad-campaign_us_5b92f887e4b0511db3e24df2
    I think that this graphic is interesting as a second point for the Nike visualization as it actually shows how online sales of Nikes increased after the campaign.

  2. The two visualizations that you picked are both interesting and simple to understand. For the first graph I would agree that I would have thought that grain would have been grains rather than beef. I do wonder if the creator chose the colors intentionally, such as the red shades for meat and poultry and green for grains. The second visualization is intriguing and packed with information. I also take interest in this graph since I am aware of sweat shops and take an interest in the conditions and rights that workers have. In terms of the data, it is not that surprising to see that China was number one in terms of the top ten Nike manufacturers. Although, it is interesting to see the difference is has compared to the USA. It is also interesting to see how that about 85% of workers are located in Southeast Asia, which from the graph it makes me wonder what the colors exactly represents and what values it has to it. I think the high percentage may be due to there not being strict working regulations. I like how the visualization is organized that it makes it easy to understand. It gives an insight to see who are making these Nike shoes, and where they are being produced.

    A visualization I found similar to the first data visualization was: https://informationisbeautiful.net/visualizations/biggest-fake-news-of-2017/
    It’s not similar in terms of what the data is about, but it has a similar visual design

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