casewhen | Create reusable dplyr : :case_when functions | Data Visualization library

by RLesur R Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(9)Vulnerabilities Install Support

kandi X-RAY | casewhen Summary

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

The goal of casewhen is to create reusable dplyr::case_when() functions. SAS users may recognise a behavior close to the SAS FORMATS.

Support

Quality

Security

License

Reuse

Support

casewhen has a low active ecosystem.

It has 63 star(s) with 2 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of casewhen is current.

Quality

casewhen has 0 bugs and 0 code smells.

Security

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

casewhen code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

casewhen is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

casewhen releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of casewhen

Get all kandi verified functions for this library.

casewhen Key Features

No Key Features are available at this moment for casewhen.

casewhen Examples and Code Snippets

No Code Snippets are available at this moment for casewhen.

Community Discussions

Trending Discussions on casewhen

Pyspark groupBy: Get minimum value for column but retrieve value from different column of same row

How do I elegantly str_detect across multiple columns and populating new columns conditionally

Tidy way to mutate multiple columns with two parallel lists of column names

How to delete rows which have duplicates and meet another condition in R?

Move a [-] symbol with condition

SparkSQL:Cannot resolve 'CASE WHEN 'expression' THEN 1 ELSE 0 END' due to data type mismatch:

Why I am getting ScalaTest-dispatcher NPE error with Intellij, maven and scala testing?

How to use dplyr & casewhen, across groups and rows, with three outcomes?

How to select specific columns from Spark DataFrame based on the value of another column?

QUESTION

Pyspark groupBy: Get minimum value for column but retrieve value from different column of same row

Asked 2021-Jun-08 at 15:43

I'm trying to group my data in PySpark - I have data from cars travelling around a track.

I want to group on race id, car, driver etc - but for each group I want to take the first and last recorded times - which I have done below. I also want to take the tyre pressure from the first recorded row. I have tried to do the below but I'm getting the error:

"...due to data type mismatch: WHEN expressions in CaseWhen should all be boolean type"

Will be grateful for any suggestions!

Thanks

Raw data:

...

ANSWER

Answered 2021-Jun-08 at 15:43

Create a window function, then use a groupby. The idea is to create the first_tyre_pressure column before doing the groupby. To create this column we need the window function.

Source https://stackoverflow.com/questions/67889407

QUESTION

How do I elegantly str_detect across multiple columns and populating new columns conditionally

Asked 2021-May-13 at 10:21

As you can see, I'm dealing with some serious dirty data. This code works, but looks a bit clunky. Is there a more efficient and dynamic way to achieve the final results without so much coding?

I had to do this in stages where first to flag the content type, and utilizing the content type to populate them into respective column types.

appreciate your help

...

ANSWER

Answered 2021-May-13 at 06:52

Here's a way to simplify this and reduce repetition :

Source https://stackoverflow.com/questions/67514807

QUESTION

Tidy way to mutate multiple columns with two parallel lists of column names

Asked 2021-Mar-03 at 18:52

I would like to find a tidy way to carry out a data cleaning step that I have to do for multiple pairs of columns.

...

ANSWER

Answered 2021-Mar-03 at 10:09

here is a data.table + rlist approach

Source https://stackoverflow.com/questions/66454257

QUESTION

How to delete rows which have duplicates and meet another condition in R?

Asked 2020-Dec-19 at 20:26

I don't know if this may be a too specific question, but I'm looking to remove rows which have duplicates in one column, and meet a condition.

To be specific, I want to delete one of the duplicate observations in the column "host_id" (numeric), for which the value in the column "reviews_per_month" (numeric) is the lowest.

In other words, as described in my report: " Since one host can have multiple listings, hosts ids that appear more than one time will be filtered. The listing of this host's id which has the most reviews per month is used for analysis".

I've tried many things using duplicated(), filter(), ifelse(), casewhen(), etc, but it doesn't seem to work. Does anyone know how to get started? Thanks in advance!

...

ANSWER

Answered 2020-Dec-19 at 20:08

We can use slice_max. Grouped by 'host_id', slice the row where the reviews_per_month is the max

Source https://stackoverflow.com/questions/65373971

QUESTION

Move a [-] symbol with condition

Asked 2020-Dec-11 at 17:31

I'm still learning R, and you guys have been so helpful with your educative answers. So here is my issue, It might be very basic but i tried solutions with sub, gsub and casewhen, getting no results. I have a column with some numbers with [-] sign in the right. And if they have the - i would like to move it upfront.

...

ANSWER

Answered 2020-Dec-11 at 13:01

You could do:

Source https://stackoverflow.com/questions/65251584

QUESTION

SparkSQL:Cannot resolve 'CASE WHEN 'expression' THEN 1 ELSE 0 END' due to data type mismatch:

Asked 2020-Dec-05 at 15:35

I get the type mismatch error when i use CASE WHEN in SparkSQL. Below is the error i get:

...

ANSWER

Answered 2020-Nov-19 at 11:41

The error says WHEN expressions in CaseWhen should all be boolean type, but the 1th when expression's type is utama#7L. You need to have a boolean type in the when expression. You can try casting it into a boolean by CASE WHEN CAST(q.utama AS BOOLEAN) THEN 1 ELSE 0 END etc.

Source https://stackoverflow.com/questions/64910676

QUESTION

Why I am getting ScalaTest-dispatcher NPE error with Intellij, maven and scala testing?

Asked 2020-Oct-01 at 14:47

I am getting this error when I try to run spark test in local :

...

ANSWER

Answered 2020-Oct-01 at 14:47

My problem come from a spark error about union 2 dataframe that i can't, but the message is not explict.

If you have the same problem, you can try your test with a local spark session.

remove DataFrameSuiteBase from your test class and instead make a local spark session:

Before :

Source https://stackoverflow.com/questions/64153167

QUESTION

How to use dplyr & casewhen, across groups and rows, with three outcomes?

Asked 2020-Aug-24 at 09:23

This seems a simple question to me but I'm super stuck on it! My data looks like this:

...

ANSWER

Answered 2020-Aug-24 at 09:23

Maybe something like this?

Source https://stackoverflow.com/questions/63557278

QUESTION

How to select specific columns from Spark DataFrame based on the value of another column?

Asked 2020-Jan-04 at 12:24

Consider a DataFrame df with 4 columns c0, c1, c2 and c3 where c0 and c1 are nested columns(struct type) and the other two are string type:

...

ANSWER

Answered 2020-Jan-04 at 11:26

You could first get the struct you want using when and then use * to select the nested fields like this:

Source https://stackoverflow.com/questions/59590048

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

Vulnerabilities

No vulnerabilities reported

Install casewhen

You can install the development version from GitHub with:.

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 .

Find more information at: