naniar | Tidy data structures , summaries , and visualisations | Data Visualization library

by njtierney R Version: v1.0.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | naniar Summary

naniar is a R library typically used in Analytics, Data Visualization applications. naniar has no bugs, it has no vulnerabilities and it has low support. However naniar has a Non-SPDX License. You can download it from GitHub.

Visualising missing data might sound a little strange - how do you visualise something that is not there? One approach to visualising missing data comes from ggobi and manet, which replaces NA values with values 10% lower than the minimum value in that variable. This visualisation is provided with the geom_miss_point() ggplot2 geom, which we illustrate by exploring the relationship between Ozone and Solar radiation from the airquality dataset. ggplot2 does not handle these missing values, and we get a warning message about the missing values. We can instead use geom_miss_point() to display the missing data. geom_miss_point() has shifted the missing values to now be 10% below the minimum value. The missing values are a different colour so that missingness becomes pre-attentive. As it is a ggplot2 geom, it supports features like faceting and other ggplot features.

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naniar has a low active ecosystem.

It has 622 star(s) with 51 fork(s). There are 20 watchers for this library.

It had no major release in the last 12 months.

There are 66 open issues and 182 have been closed. On average issues are closed in 1438 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of naniar is v1.0.0

Quality

naniar has 0 bugs and 0 code smells.

Security

naniar has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

naniar code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

naniar has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

naniar releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 34581 lines of code, 0 functions and 169 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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naniar Key Features

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naniar Examples and Code Snippets

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Community Discussions

Trending Discussions on naniar

Replace numerical value in two columns with NA based on a single other column NA value in R

how to assign text to ggplot with a condition when y axis is not numeric in r

Margin too wide in PDF output of rmarkdown

How to split output by timepoint in long format time-series data?

Using a R function in python notebook to visualize missing data

R is not detecting all the missing values with naniar package or colSums

R: boxplots include -999 which were defined as NA -> dependent on order of factor declaration and NA declaration

How to change the colour for missing values in geom_miss_point (with two different color scales)

Replace observations with specific values in multiple columns

How to plot visualization of missing values for big data in R?

QUESTION

Replace numerical value in two columns with NA based on a single other column NA value in R

Asked 2022-Mar-02 at 06:59

I have simplified my df to:

...

ANSWER

Answered 2022-Mar-01 at 19:32

With dplyr, we can apply a simple ifelse statement to both B and C using across and replace with NA when they meet the condition (i.e., D is NA).

Source https://stackoverflow.com/questions/71313663

QUESTION

how to assign text to ggplot with a condition when y axis is not numeric in r

Asked 2022-Feb-13 at 15:04

I want to annotate a percentage number of missing values for each variable that actually has any missing values somewhere above the corresponding variable blue line. I can add a text using geom_text but I have difficulty with how to select those vars with Nas. I would appreciate any hint with this.

...

ANSWER

Answered 2022-Feb-13 at 15:04

You can use naniar::miss_var_summary() to create a data frame with labels for all variables with at least one NA:

Source https://stackoverflow.com/questions/71101594

QUESTION

Margin too wide in PDF output of rmarkdown

Asked 2021-Oct-25 at 14:07

I am trying to update the margin of the pdf output of the rmarkdown.

Here is my code:

...

ANSWER

Answered 2021-Oct-25 at 14:07

Let's try to solve your problem with this simple example, which I made for you.

Source https://stackoverflow.com/questions/69639847

QUESTION

How to split output by timepoint in long format time-series data?

Asked 2021-Sep-10 at 08:23

I would like to use gg_miss_var() from the naniar package to look at the amount of missing data at each timepoint in my data frame. The data frame includes time-series data in long format.

I have code that works with the df overall (see #1 in Code below). How can I extend this to produce the output split by Timepoint (see #2 in Code below for my attempted code)?

To clarify, what I would like to do is essentially repeat #1 in Code using data from each timepoint (per the Timepoint variable). Therefore, the amount of missing data for each variable would be presented for baseline data, year1 data, and year2 data, separately. Currently, #1 in Code looks at the missing data for all timepoints (i.e., baseline, year1, year2) combined.

I will be doing further analyses split by Timepoint with this data df, for example regressions, and so would ideally like code that is easily manipulated for these purposes.

Below is an example data frame (see Example Data). Note that the data frame I am working with is much larger (i.e., N = ~21,900)

Code

...

ANSWER

Answered 2021-Sep-09 at 18:51

Do you expect it?

Source https://stackoverflow.com/questions/69121989

QUESTION

Using a R function in python notebook to visualize missing data

Asked 2021-Apr-04 at 13:08

naniar is a common R package for visualizing missing data. I am trying to use rpy2 to call an R function vis_miss() in naniar to plot the missing data.

Python is giving me a data frame as output instead of a plot in my notebook and I would like to solve this. The idea is to use the vis_miss package in a python notebook.

Below is a working example using iris dataset:

...

ANSWER

Answered 2021-Apr-04 at 13:08

Use cell magic (%%R) to get the output as an image:

Source https://stackoverflow.com/questions/66940419

QUESTION

R is not detecting all the missing values with naniar package or colSums

Asked 2021-Mar-23 at 15:34

The data I am working with is the Top 1000 IMDB movies from Kaggle (https://www.kaggle.com/harshitshankhdhar/imdb-dataset-of-top-1000-movies-and-tv-shows/download)

Here to demonstrate the problem I am considering the first 100 observations after discarding some variables. (Pardon me, it is a bit long)

...

ANSWER

Answered 2021-Mar-23 at 15:10

In the data you entered, there are no missing values (NA's) other than in the Meta column

The Gross column has what looks like missing values but are in fact empty strings "" as that column misleadingly is a character column (this should be cleaned up)

This gives you proper NAs in that column

Source https://stackoverflow.com/questions/66765815

QUESTION

R: boxplots include -999 which were defined as NA -> dependent on order of factor declaration and NA declaration

Asked 2021-Jan-15 at 16:14

Situation: .csv file which contains the following:

...

ANSWER

Answered 2021-Jan-15 at 16:14

as you already concluded correctly it depends on the (correct) order. As soon as you define UrbanTrail$Geschlecht as factor its levels will be saved as attribute of the variable, as can be shown:

Source https://stackoverflow.com/questions/65737391

QUESTION

How to change the colour for missing values in geom_miss_point (with two different color scales)

Asked 2021-Jan-11 at 19:43

I'm struggling to modifing the colour/shape/... of the points based of if it's a missing value or not.

...

ANSWER

Answered 2021-Jan-11 at 19:38

I am not sure if this a good idea. But for the sake of "showing how to do this in theory". From what I understand from a quick look into the naniar package, is that the color aesthetic is mapped to ..missing.. by default. You would need to dig quite a lot into the actual geom to change that behaviour. But there is a simple workaround for it.

Create a second color scale with ggnewscale.

You will not get around subsetting your data first, but this is not a bad thing. Don't fear to subset your data, that's a very normal thing to do.

Source https://stackoverflow.com/questions/65672173

QUESTION

Replace observations with specific values in multiple columns

Asked 2020-Dec-17 at 19:33

I have a dataframe that looks something like this.

...

ANSWER

Answered 2020-Dec-17 at 10:05

Using dplyr, you could do :

Source https://stackoverflow.com/questions/65338447