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来自 Johns Hopkins University 的课程

Developing Data Products

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Johns Hopkins University

Developing Data Products

1631 个评分

课程 9（共 10 门，Specialization Data Science）

A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience.

从本节课中

R Markdown and Leaflet

During this module, we'll learn how to create R Markdown files and embed R code in an Rmd. We'll also explore Leaflet and use it to create interactive annotated maps.

Leaflet 1.13:36

Leaflet 1.25:59

Leaflet 1.32:04

Leaflet 1.42:48

Leaflet 1.52:00

Leaflet 1.66:25

与讲师见面

Brian Caffo, PhD
Professor, Biostatistics
Bloomberg School of Public Health
Jeff Leek, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health
Roger D. Peng, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health

[SOUND] In this next bit of code we're going to talk about two things.

We're going to talk about how to add custom markers and

then we're going to talk about how to add separate popups for each marker.

So just to give you a sense of what we want, we want something like this,

where it's the Hopkins logo at each of the markers.

And then after we add, we want a separate popup for each marker.

And so we want something like this with the markers, and

then I'll show you interactively here in a second what we're actually getting when we

have a separate popup.

Okay, so let's go ahead and try doing that.

Okay, so I think it's actually pretty quick to get an icon exactly how you want.

So here we're going to just define our Hopkins icon as grabbing this URL.

Okay, and then you specify the width, the height, and the anchor points.

And then now let's create hopkinsLatLong, which is a series of latitude and

longitude values of buildings at Hopkins, and then we're just going to run it.

So we're going to have our longitude and latitude values are going to be passed to

leaflet, which is then the output of the leaflet function with the latitude and

longitude values passed to it is going to be passed in as the argument to add tiles,

which is going to add the mapping data, and then it's going to add the markers.

However, we also have some secondary arguments that we need,

which is that the icon is going to be the hopkinsIcon.

So let's run all this code, I'm just going to run it by clicking this

little arrow up here, and there you see it.

And now instead of these bubbles that we had before, we have the Hopkins shield.

Now we actually want links for each of these.

If I click on them now, they don't do anything.

So what we're going to do is basically the same thing.

We already have our icon set and we already have our series of longitude and

latitude values set.

So what we need is a series of sites,

in this case our sites is a vector of text that give the HTML

commands that give a hyper ref to each one of the buildings,

or the campus values or something like this.

And these are in the correct order,

corresponding to the latitude and longitude values.

And so we're going to take our existing defined latitude and longitude values.

We're going to pass them to leaflet, we're going to pass

the output of that command to addTiles, and then we're going to pass the output of

that command to addMarkers only if we have our icon set to the icon that we want.

And then popup is going to be the collection of hopkinsSites.

Okay, so let's run the whole thing, and there we go.

Okay, now when you click it, it says Peabody Institute.

And if you click on this link, it takes you to the Peabody Institute website.

Okay, so pretty handy little map.

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