代写coral bleaching data、代做R语言、R程序设计调试、代做static tabular

日期：2019-04-02 09:21

Details of task:

This shows coral bleaching data for 8 sites in the Great Barrier Reef. It gives the %

of bleaching for different kinds of coral: hard corals, sea pens, blue corals, soft

corals and sea fans over the last 8 years (though not all sites have data for the entire

period and not all corals are found at each site). The data is fictional.

Your job is to

1. Read the data into R

2. Create a static tabular visualisation using ggplot2 that shows for each kind of

coral and for each site how the bleaching varies from year to year. You

should use faceting with each facet showing the bleaching for one kind of

coral at one site across the time period. The sites should be ordered by

latitude. Fit smoothers to the data.

3. Based on this static visualisation use Shiny to create an interactive

visualisation that allows the user to vary the kind of coral displayed and the

choice of smoother.

4. Create a map by using Leaflet that shows the location of the sites.

5. Merge the map into your interactive visualisation. Remember to use some

kind of visual indicator to link the sites on the map to the corresponding

facet: text label, shape or colour coding.

4.1 Grading Rubric

Demonstrate ability to read data into R [1%]

Demonstrate ability to create static visualisations in R using ggplot2 [1%]

Demonstrate ability to fit curves to the data to identify trends [1%]

Demonstrate ability to create a data map in R with Leaflet [1%]

Demonstrate ability to create an interactive visualisation in R with Shiny [1%]

You have to make sure everything is in a deploy state for your Shiny Application (i.e.

it can be clicked & run).

Several things you need:

Include the data file in your submission

Have all required "library(xxx)" or "require(xxx)" statements at the beginning

of your R files (you do not need the code to install the packages)

Clear objects from the workspace, you can do this by click the

"broomstick" icon on the right-top section of RStudio.

And after that, make sure your app is still working with just clicking "run the app"

button.

You will lose points if we cannot assess your submission properly.