Project_Feedback_Stella.Rmd #3
Conversation
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| title: "Opoid-Related Deaths in New York State" | |||
| author: "Anuwat Pengput" | |||
| subtitle: Spatial Epidemiological Analysis and Risk Factors of Opoid-Related Deathsin | |||
| New York | |||
| New York | |||
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Clear narrative to let me know what you want, but there is a typesetting problem, which is that "Deaths" and "in" are not separated by space.
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| Show tables, plots, etc. and describe them. | |||
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| ```{r echo=TRUE, warning=FALSE} | |||
| ggplotly (g, tooltip = c("County", "Opioid.Poisoning.Deaths", "Year")) | |||
| ggplotly (g, tooltip = c("County", "Opioid.Poisoning.Deaths", "Year")) | |||
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The interactivity is convenient and user-friendly. I like it! But the title overlays with the legend title, which affect the readability.
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| ```{r echo=TRUE} | ||
| mapview(vital_ny_2017, zcol = "Opioid.Poisoning.Deaths", legend = TRUE, alpha = 0.5) | ||
| mapview(vital_ny_2017, zcol = "Opioid.Poisoning.Deaths", legend = TRUE, alpha = 0.5) | ||
| ``` |
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Good job! This graph gives me an intuitive feel about the death situation. But it could be better if you could give us a more detailed description about the story of this graph.
Because I noticed that change the color distribution is unbalanced in your graph, or say the classification is kind of rough. And I could see that the case number in each county are more likely in the range 0-50 and just few counties have very high numbers. So I am curious about why those counties have such high numbers of cases.
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| ```{r echo=TRUE, warning=FALSE} | ||
| ```{r echo=TRUE, warning=FALSE} |
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Nice graph which show us the relationship between the death and incomes. One problem is that when I first saw it, I did not know what "estimate" meant. I knew it after I read you introduction. So it could be better if you could make your labels more detailed and clear.
I could see there is the relationship between death and incomes. But I am curious why and expect that you could give us a more detailed description about your graph.
Nice job but some slight problems with readability