Programming Reflection Journal #7: Refinement & Posting

    • Siobhan Wilmot-Dunbar
      Siobhan Wilmot-Dunbar

      Hi Dana, 

      This is an amazing project! I'm a dog lover, and I definitely did not realize the entire process and cost for licensing, including renewals and all additional responsibilities, so I've definitely learned something new there to consider in my future plans to become a dog owner! And by the way, I love your dog!

      I think your project had some great visualizations, and I appreciated your use of bar graphs and pie charts in such a logical way to present your data. I found it quite interesting that Manhattan has a significantly higher licensed dog population--never quite thought about the population by cities before, and would have assumed it to be Brooklyn since it doesn't have the rush of the city like Manhattan does. 

      I'm interested to know how you were able to generate your map--I found that visual to be the most interesting to me, and showing the highest raking neighborhoods with dog populations gave me a different perspective, especially being closer to the water as you mentioned. 

      I would be interested in seeing further analyses regarding income, dog versus human populations, and even the impact on business in the area. Thanks for sharing such an insightful project! I can definitely see your skills growing over the past R projects and journals. I think this final project put everything together nicely, and your delivery of the information felt very conversational and engaging. 

      Thanks!

      Siobhan

      • Dana Paniagua
        Dana Paniagua

        Hi Siobhan,

        Thanks for the feedback! I'm glad you learned some interesting dog tidbits from my data and visuals. For the map, I just used an NYC subway map image from Google. After I analyzed which zip codes had the highest dog populations, I created the numbered bubbles in a word document to highlight the areas and "plot" them. The orange bubbles are not spot on since it's a smaller subway map, but they are very close to the general area. I really wanted to create maps such as yours using R, but this was the only way I could do so based on my R programming ability (or lack thereof!).

        • Siobhan Wilmot-Dunbar
          Siobhan Wilmot-Dunbar

          Hey Dana, 

          Great! Thanks for sharing your process! No worries, and I'm glad you liked the maps! For me the maps were a little frustrating to make at first until I got the hang of it (I really wanted to use maps as the most logical way to show my data, since I was having some trouble with plotly and isolating by locations), but once I figured the first one, making the rest was a breeze. But I completely understand what you mean!

        Quantitative Literature Analysis Spring 2018

        Quantitative Literature Analysis Spring 2018

        Here is the online home for our Quant Lit Analysis Class for Spring 2018.

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