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Automatic Generation of Interactive Visualizations for Statistical Results

R 81.46% TeX 18.54%
data-visualization ggplot2 interactive-visualizations machine-learning plotly plotlyjs rstats statistics

autoplotly's Introduction

Curriculum Vitae Twitter GitHub LinkedIn Mastodon Sponsors Citations 微信

Yuan is a principal software engineer at Red Hat, working on OpenShift AI. Previously, he has led teams to build AI infrastructure and platforms at various companies, including Alibaba and Akuity. He's a project lead of Argo and Kubeflow, a maintainer of TensorFlow and XGBoost, and an author of many popular open source projects. In addition, Yuan authored three machine learning books and published numerous impactful papers. He's a regular conference speaker, technical advisor, leader, and mentor at various organizations.

📖 Check out what he's working on and the Distributed Machine Learning Patterns book!

autoplotly's People

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damirpolat avatar terrytangyuan avatar

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autoplotly's Issues

error message after entering p in autoplotly example code

Hi Terry! -

Following your blog post code example,
I entered:

> p <- autoplotly(prcomp(iris[c(1, 2, 3, 4)]), data = iris,
colour = 'Species', frame = TRUE)

OK !..

> class(p)
[1] "plotly" "htmlwidget"

but... I get an error message when I next enter:

> p
Error in attr %in% names(Schema$traces[[x]]$attributes) :
cannot open file '~/R/i686-pc-linux-gnu-library/3.4/plotly/R/sysdata.rdb': No such file or directory
In addition: Warning message:
In attr %in% names(Schema$traces[[x]]$attributes) :
restarting interrupted promise evaluation

What's wrong?

SFdisqus
using latest Rstudio, R,
under Ubuntu LINUX 14.04 LTS 32-bits.

PKGS installed
and loaded in the Rstudio Workspace:
1 - autoplotly GIT dev version: v 0.1.1

2 - plotly v 4.7.1.9000,

3 - ggplot2 v 2.2.1.9000,

4 - ggfortify v 0.4.2

package vignette from blog post?

The blog post linked in the README provides a very helpful intro to the package and its intended usage. I suspect, especially since the package is on CRAN, that many R users would seek guidance from a vignette and miss the links to this resource (DESCRIPTION -> GitHub repo -> blog post). Could the blog post be repurposed into a package vignette?

Part of this JOSS review.

community guidelines

The DESCRIPTION contains a link to the issues page on the GitHub repo, but i did not see any other guidance on contributing to the package or seeking support.

The package consists of one core function whose job is to pass objects to autoplot() for which ggfortify provides methods. So users interested in contributing methods should presumably be pointed to the ggfortify repo. (Presumably only experienced R users would want to contribute directly to the autoplotly source code.) But that repo also has no contributing guidelines. If contributing to ggfortify would be as straightforward as it seems to me (a fortify_*.R file containing methods for fortify() and autoplot()), then the guide could be short; but there might be other important considerations i'm missing!

Part of this JOSS review.

Tooltip parameter improvement

Hi Terry,

In my autoplotly visualizations (pca in my case) I would like to add information to show in the tooltip from columns of the dataframe used.

The only column that can be added in the 'tooltip' parameter is the column used in the 'colour' parameter.

There is a way to add other information in the 'tooltip' parameter than 'x', 'y', 'colour'?
If not, is this a feature that will be present in a future version?

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