tidyr | create tidy data | Data Visualization library

by tidyverse R Version: v1.2.1 License: Non-SPDX

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kandi X-RAY | tidyr Summary

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

Tidy Messy Data

Support

Quality

Security

License

Reuse

Support

tidyr has a medium active ecosystem.

It has 1211 star(s) with 397 fork(s). There are 73 watchers for this library.

It had no major release in the last 12 months.

There are 22 open issues and 996 have been closed. On average issues are closed in 148 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of tidyr is v1.2.1

Quality

tidyr has no bugs reported.

Security

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

License

tidyr 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

tidyr releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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tidyr Key Features

No Key Features are available at this moment for tidyr.

tidyr Examples and Code Snippets

No Code Snippets are available at this moment for tidyr.

Community Discussions

Trending Discussions on tidyr

How to print ggplot for multiple tables in this case?

spec_tbl_df is over 10 times slower on same opperations as a normal tibble

Complete and fill data.frame with multiple conditions

Split comma- and colon- separated string in R

Why can't I split this column using tidyr extract and regex?

Adding missing hours to dataframe in R

Using purrr to efficiently count regex matches in a large dataframe

Print all years in a dataframe using R

How to re-structure a table into a specific template format in R?

One dodged barchart per year

QUESTION

How to print ggplot for multiple tables in this case?

Asked 2021-Jun-15 at 22:10

I have this code which prints multiple tables

...

ANSWER

Answered 2021-Jun-15 at 20:59

So, this is a good opportunity to use purrr::map. You are half way there by applying code to one dataframe.

You can take the code that you have written above and put it into a function.

Source https://stackoverflow.com/questions/67992308

QUESTION

spec_tbl_df is over 10 times slower on same opperations as a normal tibble

Asked 2021-Jun-15 at 14:37

So I was really ripping my hair out why two different sessions of R with the same data were producing wildly different times to complete the same task. After a lot of restarting R, cleaning out all my variables, and really running a clean R, I found the issue: the new data structure provided by vroom and readr is, for some reason, super sluggish on my script. Of course the easiest thing to solve this is to convert your data into a tibble as soon as you load it in. Or is there some other explanation, like poor coding praxis in my functions that can explain the sluggish behavior? Or, is this a bug with recent updates of these packages? If so and if someone is more experienced with reporting bugs to tidyverse, then here is a repex showing the behavior cause I feel that this is out of my ballpark.

...

ANSWER

Answered 2021-Jun-15 at 14:37

This is the issue I had in mind. These problems have been known to happen with vroom, rather than with the spec_tbl_df class, which does not really do much.

vroom does all sorts of things to try and speed reading up; AFAIK mostly by lazy reading. That's how you get all those different components when comparing the two datasets.

With vroom:

Source https://stackoverflow.com/questions/67978477

QUESTION

Complete and fill data.frame with multiple conditions

Asked 2021-Jun-15 at 08:08

I want to complete a data.frame with all combinations of two variables but with two conditions. Here is my data.frame:

...

ANSWER

Answered 2021-Jun-15 at 08:04

Perhaps, you can try this -

Source https://stackoverflow.com/questions/67982160

QUESTION

Split comma- and colon- separated string in R

Asked 2021-Jun-14 at 17:40

Input$Freq                                                          
                                                                             Freq
                                        AFR:.,AMR:.,EAS:.,FIN:.,NFE:.,OTH:.,ASJ:.
     AFR:0.1546,AMR:0.2581,EAS:0.0825,FIN:0.2270,NFE:0.0822,OTH:0.1706,ASJ:0.0729
                                        AFR:.,AMR:.,EAS:.,FIN:.,NFE:.,OTH:.,ASJ:.
     AFR:0.1546,AMR:0.2581,EAS:0.0825,FIN:0.2270,NFE:0.0822,OTH:0.1706,ASJ:0.0729
                                        AFR:.,AMR:.,EAS:.,FIN:.,NFE:.,OTH:.,ASJ:.
                                        AFR:.,AMR:.,EAS:.,FIN:.,NFE:.,OTH:.,ASJ:.

...

ANSWER

Answered 2021-Jun-14 at 17:36

We could change the regex with str_extract and specify a regex lookaround to match the EAS substring ((?<=EAS:)) that precedes before any characters that are not a , ([^,]+)

Source https://stackoverflow.com/questions/67974649

QUESTION

Why can't I split this column using tidyr extract and regex?

Asked 2021-Jun-14 at 15:07

First time asking a question on here, so I apologise if I have missed something. I have been looking through existing answers and couldn't find any that address this issue specifically.

I'm trying to split inconsistent strings into two variables using the extract function of the tidyr package.

Reprex of my data with library calls:

...

ANSWER

Answered 2021-Jun-14 at 15:07

You used lookarounds that are non-consuming patterns, while you need to use consuming pattern to let the regex engine reach minutes after hours.

You can solve the problem using

Source https://stackoverflow.com/questions/67972160

QUESTION

Adding missing hours to dataframe in R

Asked 2021-Jun-10 at 11:45

I have a data frame where some of the hours in Time GMT are missing.
Normally, the hours should be shown in a sequence from 00:00 to 23:00, but sometimes an hour is missed.

Where an hour is missing in the sequence, I would like to insert a new row.
The new row will be a copy of the previous row, but with the following columns changed as follows:

Time GMT: will contain the next hour of the previous row. i.e, if previous == 5:00, new == 6:00
Sample Measurement: will contain the average between the previous value and the next value in Sample Measurement column.
MDL: will contain the average between the previous value and the next value in column MDL

What have I tried

...

ANSWER

Answered 2021-Jun-09 at 21:36

You could use tidyverse:

Source https://stackoverflow.com/questions/67911017

QUESTION

Using purrr to efficiently count regex matches in a large dataframe

Asked 2021-Jun-09 at 14:04

Edited to change the regex and show my tidyr/dplyr solution

I am looking for an efficient way (preferably purrr) way to handle a lot searching and counting regex patterns in a large dataframe.

Here is a simple example of what I'm trying to achieve.

Say I have a data frame of sentences:

...

ANSWER

Answered 2021-Jun-09 at 14:03

You can try using map_df -

Source https://stackoverflow.com/questions/67901566

QUESTION

Print all years in a dataframe using R

Asked 2021-Jun-09 at 10:12

I have a data frame with two dates:

Created Date
Last Accessed

I want to print all the years that exists in my data inside a loop:

1989
2017
2018
2019
2020
2021

I have tried to create a code that does this but it give me a error:

Error in df_years[x, 1:1] : incorrect number of dimensions

...

ANSWER

Answered 2021-Jun-08 at 12:48

Without a loop, after you extracted the years

Source https://stackoverflow.com/questions/67887117

QUESTION

How to re-structure a table into a specific template format in R?

Asked 2021-Jun-08 at 18:53

I have a dataset containing results from a survey. Let's pretend that a survey was sent out to thousands of employees belonging to a number of different companies, I processed the results of these surveys, identified some errors in those surveys and now want to send a custom error summary to each employee, so that they can correct those errors.

To send out these summaries, we use a software which allows you to send out a custom email, using a template where you can specify custom fields.

E.g.

Dear (Name),

We have identified a total of (number of errors) errors in the the surveys submitted by (company_name). Please find these below:

(error_1_description)

(error_1_survey_IDs)

(error_2_description)

(error_2_survey_IDs)

(error_3_description)

(error_3_survey_IDs)

(error_4_description)

(error_4_survey_IDs)

When sent, the recipient sees a summary specific to their company, e.g. :

Dear Steve,

We have identified a total of 20 errors in the the surveys submitted by Amazon. Please find these below:

Error in question 1. IDs of affected surveys:

00100A, 00100B, 00100C

Error in question 2. IDs of affected surveys:

00100A, 00100B

Error in question 3. IDs of affected surveys:

00100A

Error in question 4. IDs of affected surveys:

00100B, 00100C

My problem is that I need to re-structure the error summary into the template format accepted by the software, and I am struggling to find a way.

The table containing the error summary can be re-created using the code below:

...

ANSWER

Answered 2021-Jun-08 at 16:10

Here's a pivot_wider solution. The columns aren't in the same order as your template (and don't quite have the same names), but this ought to get you 90% of the way there.

Source https://stackoverflow.com/questions/67890149

QUESTION

One dodged barchart per year

Asked 2021-Jun-08 at 08:03

I have a dodged bar chart that shows the data "Created Date" and "Last Accessed" per year. The date data is formatted as year-month-date hour:minute:second.

Now I want to split the data up into one graph per year that shows Created date and Last accessed per date of the year. I tried to plot everything in one graph, however it was really messy..

Is it possible to plot per year, so in this example it will be 6 graphs because it is 6 years. I was thinking something like looping trough each year?

...

ANSWER

Answered 2021-Jun-08 at 07:49

perhaps this one? I switched to points and lines for better visualization.

Source https://stackoverflow.com/questions/67882684

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

Vulnerabilities

No vulnerabilities reported

Install tidyr

tidyr functions fall into five main categories:.
“Pivotting” which converts between long and wide forms. tidyr 1.0.0 introduces pivot_longer() and pivot_wider(), replacing the older spread() and gather() functions. See vignette("pivot") for more details.
“Rectangling”, which turns deeply nested lists (as from JSON) into tidy tibbles. See unnest_longer(), unnest_wider(), hoist(), and vignette("rectangle") for more details.
Nesting converts grouped data to a form where each group becomes a single row containing a nested data frame, and unnesting does the opposite. See nest(), unnest(), and vignette("nest") for more details.
Splitting and combining character columns. Use separate() and extract() to pull a single character column into multiple columns; use unite() to combine multiple columns into a single character column.
Make implicit missing values explicit with complete(); make explicit missing values implicit with drop_na(); replace missing values with next/previous value with fill(), or a known value with replace_na().

Support

If you encounter a clear bug, please file a minimal reproducible example on github. For questions and other discussion, please use community.rstudio.com. Please note that the tidyr project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.

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