ggplot2-tutorial | Quick introduction to ggplot2 | Data Visualization library

by echen R Version: Current License: No License

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kandi X-RAY | ggplot2-tutorial Summary

ggplot2-tutorial is a R library typically used in Analytics, Data Visualization applications. ggplot2-tutorial has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This is a bare-bones introduction to ggplot2, a visualization package in R. It assumes no knowledge of R. There is also a literate programming version of this tutorial in ggplot2-tutorial.R.

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ggplot2-tutorial has a low active ecosystem.

It has 234 star(s) with 76 fork(s). There are 37 watchers for this library.

It had no major release in the last 6 months.

ggplot2-tutorial has no issues reported. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ggplot2-tutorial is current.

Quality

ggplot2-tutorial has no bugs reported.

Security

ggplot2-tutorial has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ggplot2-tutorial does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

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ggplot2-tutorial releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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ggplot2-tutorial Key Features

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ggplot2-tutorial Examples and Code Snippets

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Community Discussions

Trending Discussions on ggplot2-tutorial

Add an image in background of a Histogram

r- ggplot2 color and fills not functioning

ggplot2: one regression line per category

QUESTION

Add an image in background of a Histogram

Asked 2019-Dec-16 at 07:12

I am trying to add an image to the background of a histogram. I am starting to use R and i had this idea from the last point of this guide on ggplot2: http://r-statistics.co/Complete-Ggplot2-Tutorial-Part2-Customizing-Theme-With-R-Code.html

This is the code i am using

...

ANSWER

Answered 2019-Dec-16 at 07:12

Because I couldn't use your data, I just used the iris data. I tried to use all the things you added to your plot. With the code below I don't get any error.

Source https://stackoverflow.com/questions/59304480

QUESTION

r- ggplot2 color and fills not functioning

Asked 2018-Dec-27 at 19:12

I'm trying to visualize a single scatterplot using ggplot2 and adjust the colors to make the graph more visually appealing, however, the colors and fill functions are not populating the colors I want.

For reference I've looked through this very helpful link in addition to the tidyverse cheatsheets for ggplot2, neither of which cover how to change the color of one single variable.

See below dummy data set with chart example below showing desired colors as the variable names:

...

ANSWER

Answered 2018-Dec-27 at 19:12

The aes defines variables that map to different colours and fills and not colours and fills directly. Supplying the colour directly in geom_point (or outside aes) works:

Source https://stackoverflow.com/questions/53949499

QUESTION

ggplot2: one regression line per category

Asked 2018-Jun-09 at 19:35

According to this ggplot2 tutorial, the following code produces a multi-colored scatterplot:

...

ANSWER

Answered 2018-Jun-09 at 18:29

Actually, you have moved the col=state attributes to aes of geom_point that's why its(grouping) not available to geom_smooth. One option is to move col=state in aes of ggplot itself. The modified code will be as:

Source https://stackoverflow.com/questions/50777173

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ggplot2-tutorial

You can download R here. After installation, you can launch R in interactive mode by either typing R on the command line or opening the standard GUI (which should have been included in the download).
One of R's greatest strengths is its excellent set of packages. To install a package, you can use the install.packages() function. To load a package into your current R session, use library().

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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