Plotly 1.1

Loading...

Из курса от партнера Johns Hopkins University

Developing Data Products

1622 оценки

Explore Related Videos

At Coursera, you will find the best lectures in the world. Here are some of our personalized recommendations for you

Johns Hopkins University

Developing Data Products

1622 оценки

Курс 9 из 10 — 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.

Из урока

Shiny, GoogleVis, and Plotly

Now we can turn to the first substantive lessons. In this module, you'll learn how to develop basic applications and interactive graphics in shiny, compose interactive HTML graphics with GoogleVis, and prepare data visualizations with Plotly.

Познакомьтесь с преподавателями

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

Hi, my name is Brian Caffo, and

this is the Developing Data Products lecture on Plotly.

Plotly is a really nifty little web application and library for R.

I had an old video on, but it was early in their R development, and

I just went back and looked at it,

and I was really astounded at how much development has occurred since then.

And for creating interactive web graphics in R,

Plotly is certainly something that you should look into.

The nice part is it integrates with a lot of different languages, too.

So what is Plotly?

Plotly is a web application for creating and sharing visualizations.

It can work with several languages.

Off the top of my head, I know that it works with MATLAB, Python,

JavaScript, and so on.

And they also have a web interface if you like to point and

click your way to victory, just uploading a csv file, or something like that.

And you'll see, I think, in some of our first applications that we're going to do

with code demonstrations that Plotly is really easy to get up and going,

especially if you work in RStudio and in R, now.

So installing Plotly I'm not going to do code demonstrations on this.

This should be familiar to you at this point in the class.

Install.packages("plotly") and then, of course, to bring it up,

you can do Library or require ("plotly"), or something like that.

Later on, as the last part of this lecture series,

I'll talk about sharing you Plotly plot, which isn't specifically an R thing.

It's more of a how do you share HTML graphics discussion.

And one of the ways is actually on the Plotly site.

And they have free options and paid options if you want private displays and

user authentication and things like that.

So, if you want to share your visualizations through Plotly then,

of course, you can do that.

But, in addition, they just make HTML graphics that you can create

a web page and share on your own without involving Plotly at all,

other than the Plotly R package, okay?

But, also, they're web interface is pretty interesting.

It gives you a lot of nifty tools that even are not that easy to do in R,

for example, interactively changing access labels, right?

So that's something that you can't really do in R, you have to rerun the code and

that sort of thing.

And at any rate, at the Plotly web interface you can do things like that.

So we'll show that at the end, but for right now we're just going to work

in the R console and just show Plotly when running things locally.

Okay, so before I do the code demonstration,

let me go through the slides a little bit.

Here, the slides just go through creating the command, or

invoking the command, plot_ly, the ntcars dataset, and just specify the x and the y.

And then one thing I just want to show before we go to the code demonstration,

is this is actually embedded into this knitter document here.

Okay, so the R Markdown document that got then knit into an HTML document,

is actually displaying the interactive graphic as part of

the actual document in the actual slides.

So, you can zoom in, for example, and things like that,

that you can't normally do with a static graph.

And this is all embedded in the slides.

So when you look at the R Markdown document,

the commands are very simple to just do that.

So one interesting application of Plotly is embedding it in your Slidify or

R Studio Presenter or Slidy just knitter documents, okay.

So let's do some code demonstrations

where we go through a couple of different Plotly-type plots.

And then at the end, we'll talk about how we share them.

Ознакомьтесь с нашим каталогом

Присоединяйтесь бесплатно и получайте персонализированные рекомендации, обновления и предложения.

Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.

© Coursera Inc., 2019 Все права защищены.

Загрузить из App Store

Загрузить в Google Play