Writing a Data Narrative
Hi everyone! Last week, I met with Sara, a PhD student, and she taught me a lot about using ggplot in RStudio and other general things about the program. Afterwards, I had my meeting with Dr. Garcia and discussed my final project with her. I realized a major barrier for me would be time. I will, unfortunately, not be able to do an extensive triple exposure theory analysis on all 3 cities. Dr. Garcia informed me that the analysis requires a lot of time, a big team working on different things, and referencing things with local utility management. Our solution to this issue was to briefly discuss triple exposure theory analysis and acknowledge my limitations in the final paper. I will still be able to provide a general triple exposure theory analysis for all 3 cities.
Moving on to my work this week, I have finished a first draft of the Phoenix data narrative. After Dr. Garcia gives me feedback on that draft, I will make the edits to the Phoenix data narrative and begin working on the Miami and Detroit data narratives. As mentioned last week, I will now explain the format of my data narratives. The basic definition of a data narrative is a type of writing that combines qualitative and quantitative information. In the case of my project, the qualitative information comes from interviews, recorded meetings, and the timeline of events. The quantitative information comes from water demand, water rates, and water production. As for the writing itself, there will be an introduction and sections for 10 year periods. The introduction will cover primary and secondary actors (decision makers and influencers), a basic description of the utility, the city’s main water sources, and the city’s general water contexts. The 10 year sections will indicate whether there was a transition or not, primary concerns and the actions taken in response, water supply threats that were faced and the effect on the utility and water delivery, water rates, and per capita water production/demand trends. I am working hard on getting all of this together and hope to have it done in the coming weeks. Thanks for reading!
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