covidProject-- scatterplot added

mariam16548 commented 4 years ago

Hi @paul-shannon, I put my code for the scatterplot in the covidProject repo in case you wanted to take a look at it.

mariam16548 commented 4 years ago

@paul-shannon Today's Progress Report:

I've been working on the Shiny app!

mariam16548 commented 4 years ago

Hi @paul-shannon,
You should be able to find my shiny app through this path: covidProject/covidApp/covidSimpleCalculation.R

Let me know what you think!

paul-shannon commented 4 years ago

@mariam16548 - very nice. The Evaluate button is redundant. Standard practice is to recalculate on changes to the slider.

mariam16548 commented 4 years ago

@paul-shannon I'll remove the evaluate button!

mariam16548 commented 4 years ago

Hi @paul-shannon - I've been trying to figure out how to use the sprintf() function to make the code more concise, but I'm having some trouble with it. I put up my code so you can see what I have so far (simpleCalculationVersion2.R). My approach involves making a function that uses sprintf(), but clearly I'm doing something wrong since I just end up with a blank, colorless box. Any advice is appreciated.

paul-shannon commented 4 years ago

I’ll take a look right away.

On Aug 6, 2020, at 4:44 PM, mariam16548 notifications@github.com wrote:

Hi @paul-shannon - I've been trying to figure out how to use the sprintf() function to make the code more concise, but I'm having some trouble with it. I put up my code so you can see what I have so far (simpleCalculationVersion2.R). My approach involves making a function that uses sprintf(), but clearly I'm doing something wrong since I just end up with a blank, colorless box. Any advice is appreciated.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.

paul-shannon commented 4 years ago

@mariam16548 Along with DRY, it will serve you well to learn "Divide and Conquer" (by the way: Nice that you separated out a function - but still the function is called 5 times, repeating yourself!)

By divide and conquer, I mean: identify and isolate the kernel of the problem that is stopping you.

Here, it is confusion over using sprintf So the thing to do is to work with sprintf ALL BY ITSELF at the R console until you understand it.

Once you have that, let's discuss how to refactor your code so that it has no repeated text, and shrinks in size.

mariam16548 commented 4 years ago

@paul-shannon Okay, I'll keep practicing with sprintf. I'll let you know if I figure something new out!

paul-shannon commented 4 years ago

Understand the basic format:

sprintf(“fmt statment”, arg2, arg3, arg4, …, argN)

where each of the args corresponds to a type-specific “%” token in the “fmt” statement.

Is the meta-strategy clear? That is, work in the smallest possible context when you are learning something new

On Aug 6, 2020, at 4:59 PM, mariam16548 notifications@github.com wrote:

@paul-shannon Okay, I'll keep practicing with sprintf. I'll let you know if I figure something new out!

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mariam16548 commented 4 years ago

@paul-shannon-- It is clear, thanks for your input! I just updated the code so you can see the changes I've made.

paul-shannon commented 4 years ago

looking good! Now move those changes to covidSimpleCalculation.R and get rid of that version2.R distraction!

On Aug 6, 2020, at 5:26 PM, mariam16548 notifications@github.com wrote:

@paul-shannon-- It is clear, thanks for your input! I just updated the code so you can see the changes I've made.

— You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub, or unsubscribe.

mariam16548 commented 4 years ago

@paul-shannon Done!

mariam16548 commented 4 years ago

Hi @paul-shannon, After looking through some links and statistics, I came up with a new calculation that includes a second slider input (I decided on the number of cases per 100,000 people specific to the county you live in). You should find the changes in the code.

paul-shannon commented 4 years ago

@mariam16548 can you come up with other factors (other predictors) to put into the model? the uw fraternity hot spot suggests that alcohol reduces caution, leads to spread. many other ideas possible. and please look for data feeds: programmatic access to new infections, by county, by state. same for deaths.

https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/about-epidemiology/index.html

mariam16548 commented 4 years ago

@paul-shannon I'll look into this!

mariam16548 commented 4 years ago

Hi @paul-shannon, After doing some research, here are some predictors I came up with:

Consumption of alcohol or any drug-use in general
- Some people do this to spend time with others-- not social distancing
- Drug effect: Tends to cause a general lack of awareness
Number of deaths (per county or state)
Using a mask or not
How much social distancing (anywhere from none to more than 6ft)
How many times you leave the house a week
% recovered by county or state
Number of tests by county or state
Using public transportation or traveling in general

I hope to add more as I continue to learn. I'll also keep looking for data feeds.

I hope you have a wonderful weekend!

paul-shannon commented 4 years ago

@mariam16548 good work - enjoy the weekend!

mariam16548 / learningShiny

covidProject-- scatterplot added #5