fuzzyjoin | Join tables together on inexact | Addon library

by dgrtwo R Version: v0.1.6 License: Non-SPDX

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

kandi X-RAY | fuzzyjoin Summary

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

The fuzzyjoin package is a variation on dplyr's join operations that allows matching not just on values that match between columns, but on inexact matching. This allows matching on:. One relevant use case is for classifying freeform text data (such as survey responses) against a finite set of options.

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Support

fuzzyjoin has a low active ecosystem.

It has 631 star(s) with 62 fork(s). There are 29 watchers for this library.

It had no major release in the last 12 months.

There are 38 open issues and 30 have been closed. On average issues are closed in 56 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of fuzzyjoin is v0.1.6

Quality

fuzzyjoin has 0 bugs and 0 code smells.

Security

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

fuzzyjoin code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

fuzzyjoin 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

fuzzyjoin releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

It has 4708 lines of code, 0 functions and 24 files.

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

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fuzzyjoin Key Features

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fuzzyjoin Examples and Code Snippets

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Community Discussions

Trending Discussions on fuzzyjoin

Using stringdist_join with differing column names

Stringdist distance unexpectedly large

"fuzzy" inner_join in dplyr to keep both rows that do AND not exactly match

Join two dataframes on one column that contains substring of other

Match two tables based on a time difference criterium

Combining Multiple Fuzzy Joins

R: "Fuzzy Match" and "Between" Statements

R: How to flag observations within a certain timeframe in data.table?

How to match items in R based on some criteria?

R: How to stop fuzzyjoin::interval_join from producing duplicates on the edges?

QUESTION

Using stringdist_join with differing column names

Asked 2022-Apr-16 at 09:07

I have example data as follows:

...

ANSWER

Answered 2022-Apr-16 at 09:07

You can use = for two different column names. You can use the following code:

Source https://stackoverflow.com/questions/71892538

QUESTION

Stringdist distance unexpectedly large

Asked 2022-Apr-14 at 14:02

The following data has the surprising result that it does not match. I was expecting the distance to be 5, but even at 7 I get no match

...

ANSWER

Answered 2022-Apr-14 at 13:52

The problem comes down to the method you are using to calculate the string distance. You are using the lcs (longest common substring) method, which in effect only allows deletions and insertions rather than substitutions. From the docs:

The longest common substring (method='lcs') is defined as the longest string that can be obtained by pairing characters from a and b while keeping the order of characters intact. The lcs-distance is defined as the number of unpaired characters. The distance is equivalent to the edit distance allowing only deletions and insertions, each with weight one.

So when we convert spaces to underscores, we incur a weighting of 2 per substitution:

Source https://stackoverflow.com/questions/71872314

QUESTION

"fuzzy" inner_join in dplyr to keep both rows that do AND not exactly match

Asked 2022-Apr-01 at 20:03

I am working with two datasets that I would like to join based not exact matches between them, but rather approximate matches. My question is similar to this OP.

Here are examples of what my two dataframes look like.

df1 is this one:

...

ANSWER

Answered 2022-Apr-01 at 20:03

A possible solution, with no join:

Source https://stackoverflow.com/questions/71710138

QUESTION

Join two dataframes on one column that contains substring of other

Asked 2022-Feb-16 at 16:14

I am trying to left-join df2 onto df1.

df1 is my dataframe of interest, df2 contains additional information I need.

Example:

...

ANSWER

Answered 2022-Feb-16 at 15:58

The following works with the posted data examples but it uses two joins and is probably ineffective for larger data sets.

Source https://stackoverflow.com/questions/71144761

QUESTION

Match two tables based on a time difference criterium

Asked 2022-Feb-08 at 14:35

I have a data table (lv_timest) with time stamps every 3 hours for each date:

...

ANSWER

Answered 2022-Feb-08 at 12:43

I would suggest a standard join, followed by a grouped filter to the closest instance of each timestamp:

Source https://stackoverflow.com/questions/71033424

QUESTION

Combining Multiple Fuzzy Joins

Asked 2021-Dec-07 at 06:39

Using the R programming language, I have the following two tables (in my actual problem, all dates are given to me in "factor" types):

...

ANSWER

Answered 2021-Dec-04 at 17:33

If we want to do this in a loop, loop over the variable part i.e. the by

Source https://stackoverflow.com/questions/70222847

QUESTION

R: "Fuzzy Match" and "Between" Statements

Asked 2021-Dec-02 at 06:04

I am working with the R Programming Language. I have the following tables (note: all variables appear as "Factors"):

...

ANSWER

Answered 2021-Dec-02 at 06:04

How about this? We could do the stringdist_inner_join and filter afterwards if the dates are stored as dates. This should be plenty performant for most data, and if not you should probably use data.table instead of fuzzyjoin.

Source https://stackoverflow.com/questions/70194731

QUESTION

R: How to flag observations within a certain timeframe in data.table?

Asked 2021-Dec-01 at 15:16

I'm working with a large data frame similar to the one below. I'd like to flag all observations that have an observation 30 days earlier by ID. I had originally been trying to do a fuzzyjoin to achieve this, but can't seem to nail down where I'm going wrong with {data.table}. Any tips?

...

ANSWER

Answered 2021-Dec-01 at 15:16

If order can be changed, then I suggest we just look at the diff of the dates.

Source https://stackoverflow.com/questions/70185429

QUESTION

How to match items in R based on some criteria?

Asked 2021-Aug-31 at 21:33

So, off the bat I think I need something along the lines of the R package ‘fuzzyjoin’, or maybe it can actually work but I then need help on how to get it to work.

I have two data frames df1 and df2. Each data frame has 7 columns. The columns are: id; type 1; type 2; criteria 1; criteria 2; criteria 3; criteria 4.

df1 has, let's say, 500 rows, whereas df2 has let's say 2000 rows. Here is a small excerpt to make clearer what I have in mind.

...

ANSWER

Answered 2021-Aug-31 at 21:33

You can do it as follows:

Source https://stackoverflow.com/questions/69001363

QUESTION

R: How to stop fuzzyjoin::interval_join from producing duplicates on the edges?

Asked 2021-Aug-29 at 20:07

Recently I had to join two dataframes based on their timestamps. The left data contains a fixed timestamp and the right a range. I got it mostly working as you can see in my MWE, but the system tends to produce duplicate results at the crossing point from one range to the next. I've tried all the options, nothing worked.

Is there a nice way to suppress the duplicate entry?
In this example it is the bold one, number 13. Of course you can try to filter it, but that feels rather hacky.

...

ANSWER

Answered 2021-Aug-29 at 20:07

Maybe someone will provide another answer with interval_join, but here is something to consider with fuzzy_left_join.

Your match function match_fun could be set to allow for equality for the lower bound of the range (greater or equal to), but be less than the upper bound.

Source https://stackoverflow.com/questions/68921462

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

Vulnerabilities

No vulnerabilities reported

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