gtrendsR | R functions to perform and display Google Trends queries | REST library

by PMassicotte R Version: v1.4.8 License: No License

X-Ray Key Features Code Snippets Community Discussions(5)Vulnerabilities Install Support

kandi X-RAY | gtrendsR Summary

gtrendsR is a R library typically used in Web Services, REST applications. gtrendsR has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

gtrendsR provides an interface for retrieving and displaying Google Trends information. Trends (number of hits) over time as well as geographic representation of the results can be displayed.

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Quality

Security

License

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Support

gtrendsR has a low active ecosystem.

It has 268 star(s) with 107 fork(s). There are 34 watchers for this library.

It had no major release in the last 12 months.

There are 16 open issues and 274 have been closed. On average issues are closed in 338 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of gtrendsR is v1.4.8

Quality

gtrendsR has 0 bugs and 0 code smells.

Security

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

gtrendsR code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

gtrendsR 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.

Reuse

gtrendsR releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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gtrendsR Key Features

No Key Features are available at this moment for gtrendsR.

gtrendsR Examples and Code Snippets

No Code Snippets are available at this moment for gtrendsR.

Community Discussions

Trending Discussions on gtrendsR

R Shiny reactive object as a vector (ggplot)

ggplot y axis range ordering not from smallest to largest

using map function to create a dataframe from google trends data

Systematically compare keywords using Google Trends

What do gtrendsR statistical areas correlate with?

QUESTION

R Shiny reactive object as a vector (ggplot)

Asked 2021-May-18 at 18:56

in my Shiny App I want to have textinput, action button and grapf plotted after clicking action but.

My problem is how to use in reactive in gtrends function (from gtrendsR package).

...

ANSWER

Answered 2021-May-18 at 18:56

The output of the reactive function can be thought of as a function.

when you use zm, you should call it like zm() and you shouldn't have an issue.

Source https://stackoverflow.com/questions/67590942

QUESTION

ggplot y axis range ordering not from smallest to largest

Asked 2020-Oct-29 at 20:54

Not sure why this is happening it appears to be ordering 1 then 10 then 100, then going to 11?

Here is my code:

...

ANSWER

Answered 2020-Oct-29 at 20:54

As mentioned by @starja the proper way to solve your issue is formating hits as factor. Here a way to do that using dplyr:

Source https://stackoverflow.com/questions/64598856

QUESTION

using map function to create a dataframe from google trends data

Asked 2020-Jun-27 at 14:43

relatively new to r, I have a list of words I want to run through the gtrendsr function to look at the google search hits, and then create a tibble with dates as index and relevant hits for each word as columns, I'm struggling to do this using the map functions in purr,

I started off trying to use a for loop but I've been told to try and use map in the tidyverse package instead, this is what I had so far:

...

ANSWER

Answered 2020-Jun-27 at 14:43

You can use map to get all the data as a list and use reduce to combine the data.

Source https://stackoverflow.com/questions/62610266

QUESTION

Systematically compare keywords using Google Trends

Asked 2020-May-07 at 19:43

Is there a way to automatically get Google Trends comparison of two keywords? I am able to downlaod relative interest for specific keywords and locations by using the gtrendsR R package. However, I would like to systematically compare two keywords.

This is important because of the two-step normalization procedure that Google applies to its relative interest index. The picture below shows what I am aming at.

...

ANSWER

Answered 2020-May-07 at 19:43

When you download data normally on R with google trends, your keywords should be normalized together

Source https://stackoverflow.com/questions/61540869

QUESTION

What do gtrendsR statistical areas correlate with?

Asked 2020-Apr-14 at 17:35

I am downloading data from google trends using R. Using this code

...

ANSWER

Answered 2020-Apr-14 at 17:35

These are the Nielsen Direct Marketing Areas (DMAs). They correspond to areas where people receive similar television and radio offerings.

Source https://stackoverflow.com/questions/61213647

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

Vulnerabilities

No vulnerabilities reported

Install gtrendsR

Since release 1.3.0, the package is on CRAN and can be installed via. Release-candidate packages are available in the ghrr drat repository and can installed via. Development version (which may be less stable) can be installed directly from this repository via.

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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