Project 2 Persuasive or Deceptive Visualization?

Darief Maesdmaes@ucsd.edu

Proposition: The United States is being "ripped off" in trade by China

FOR the Proposition

Difference between merchandising trade balances (exports - imports) between the US and China since 2000

Design Decisions and Rationale:

AGAINST the Proposition

Difference between serice trade between the US and China since 2000

Design Decisions and Rationale:

Final Reflection

This project was a bit more challenging for me than the other one. A week ago I want to Professor Lau to ask how we could find good ideas for charts, as I just wasn't sure how to go about this. His great advice was to research news sites, maybe look at left-winged and right-winged news outlets. This was great, as it actually helped me understand their vocabulary and view. With this information, I wrote out a proposition and got to work on data retrieval.

I chose to do trade, as it is a really big topic right now under the Trump administration. Almost every day we hear something about tariffs, so I thought trade between the US and China (as they got over 100% in tariffs) would be an interesting challenge. With my knowledge of economy, I went digging into the trade datasets. I eventually chose to do merchandising vs services, as my Indian Economy professor once told me that more developed nations eventually pivot into the services sector. There are 4 sectors of the economy: primary, secondary, tertiary, and the quaternary sector. Primary is resources and secondary is manufacturing. China in a lot of cases resemble those two sectors, as they are really big on mining and manfucaturing. The US, however, is more focused on the latter 2, teriary being services and quaternary being IT and research. This distinction is super important when plotting. I made several plots in the end to explore the datasets. See how the data would respond in different timeframes, plotting types, etc. I chose to do since 2000, as everything before can't be properly seen due to the ever expanding size of trade and economies in dollars.

I was heavily surpised by the fact that China is actually running a deficit on services. I knew the US was way stronger in this sense, but it was a shock to me. However, this makes sense as China isn't yet specialized in that field, meaning they have to import more of it. This makes me define ethical analysis and visualization as the neutral portrayal of data in a graph. The problem with data is that, while true, it can be misconstrued for unethical purposes. A good example is what a lot of countries did back in the day to show that certain people were inferior, while in fact this wasn't true. The same goes for graphs, where the data behind it might be completely true, but the big picture is misconstrued. This makes it important to note the context or the bigger picture if a graph is somewhat misleading. The bounds that help distinguist acceptable persuasive choices and misleading ones is firstly the ommission of information without noting this. I think removing outliers in certain graphs can be fine. However, it has to be noted as it may skew the chart and it can become misleading. Another boundary that I think is imortant is color, which should be applied in accordance with general graphing conventions. Lastly, I would also say that hiding relevant categories is another decision that can be misleading, think about news outlets removing services from the total US trade, as it wouldn't make it persuasive that the US has a big trade deficit.