Using ChatGPT in R Studio and Things to Know
Posted: Mon Dec 09, 2024 6:14 am
R is widely used in statistics and data analysis. So how can you use ChatGPT in R? This article will be of more interest to those who want to do statistical analysis and R lovers.
I have explained the R Project and R studio installations in another article, if you haven't installed them yet, you can read the relevant article. You can also access my other articles about R & SEO on Zeo Blog.
Running ChatGPT in R & API Setup
To connect to ChatGPT via R, you first need to create an API at https://platform.openai.com/account/api-keys . Let's name and save the key, and make sure to keep this code somewhere:
We go back to R, run our first codes and install the libraries:
library("TheOpenAIR")
We also add our API Key information into R:
library("TheOpenAIR")
openai_api_key("sk-apı_key")
The library needs to be installed as follows. You can also install this package below if it is not installed ("dplyr"):
Sample Packages and Usages
Our package is installed and we now have a connection to OpenAI. All that remains is to enter the prompt we want:
chat("R Studio'nun SEO'da nasıl kullanılabileceği ile ilgili 175 karakterlik meta description yaz.")
From now on, it will actually start to take shape depending on what we want from ChatGPT. For example, with “model” I can choose gpt-3.5-turbo. If you want, you can also use GPT-4. You can specify the value you want with the “temperature” value and try to get the best results:
chat("150 kelimelik R Studio'yu anlatan kısa bir tanıtım metni yaz",
model="gpt-3.5-turbo",
temperature=0.8)
You can specify the frequency frequency with frequency_penalty: ( Additional information)
chat("150 kelimelik R Studio'yu anlatan kısa bir tanıtım metni yaz",
model="gpt-3.5-turbo",
frequency_penalty=1,
temperature=0.8)
You can also read the number of tokens in a URL with “count_tokens”, for example:
url <- "https://zeo.org/tr/kaynaklar/blog/chatg ... otomasyonu"
count_tokens(url)
You can elaborate on what can be done differently overseas chinese in uk data according to your projects or work. I am giving these examples to summarize the situation. For example, you can get help for FAQ fields from here:
I want to create a sample data.frame and visualize it. I write a clear prompt:
chat("Bir E-ticaret sitesine son 1 ayda ziyaretçilerin hangi anahtar kelimeleri kullanarak giriş yaptığını ve kaç click aldıklarını bir örnekle veri çerçevesi içinde bir data.frame olarak göster. Ardından çubuk grafiği oluştur ve hangi kodlar ile bunu yaptığını bana göster.",
model="gpt-3.5-turbo")
The output directly explains step by step how to do this:
As a result, I created the graph I wanted. I will not go into details on how to import a .csv or .txt file into R, or even how to scan URLs, as I have explained in other articles:
I have explained the R Project and R studio installations in another article, if you haven't installed them yet, you can read the relevant article. You can also access my other articles about R & SEO on Zeo Blog.
Running ChatGPT in R & API Setup
To connect to ChatGPT via R, you first need to create an API at https://platform.openai.com/account/api-keys . Let's name and save the key, and make sure to keep this code somewhere:
We go back to R, run our first codes and install the libraries:
library("TheOpenAIR")
We also add our API Key information into R:
library("TheOpenAIR")
openai_api_key("sk-apı_key")
The library needs to be installed as follows. You can also install this package below if it is not installed ("dplyr"):
Sample Packages and Usages
Our package is installed and we now have a connection to OpenAI. All that remains is to enter the prompt we want:
chat("R Studio'nun SEO'da nasıl kullanılabileceği ile ilgili 175 karakterlik meta description yaz.")
From now on, it will actually start to take shape depending on what we want from ChatGPT. For example, with “model” I can choose gpt-3.5-turbo. If you want, you can also use GPT-4. You can specify the value you want with the “temperature” value and try to get the best results:
chat("150 kelimelik R Studio'yu anlatan kısa bir tanıtım metni yaz",
model="gpt-3.5-turbo",
temperature=0.8)
You can specify the frequency frequency with frequency_penalty: ( Additional information)
chat("150 kelimelik R Studio'yu anlatan kısa bir tanıtım metni yaz",
model="gpt-3.5-turbo",
frequency_penalty=1,
temperature=0.8)
You can also read the number of tokens in a URL with “count_tokens”, for example:
url <- "https://zeo.org/tr/kaynaklar/blog/chatg ... otomasyonu"
count_tokens(url)
You can elaborate on what can be done differently overseas chinese in uk data according to your projects or work. I am giving these examples to summarize the situation. For example, you can get help for FAQ fields from here:
I want to create a sample data.frame and visualize it. I write a clear prompt:
chat("Bir E-ticaret sitesine son 1 ayda ziyaretçilerin hangi anahtar kelimeleri kullanarak giriş yaptığını ve kaç click aldıklarını bir örnekle veri çerçevesi içinde bir data.frame olarak göster. Ardından çubuk grafiği oluştur ve hangi kodlar ile bunu yaptığını bana göster.",
model="gpt-3.5-turbo")
The output directly explains step by step how to do this:
As a result, I created the graph I wanted. I will not go into details on how to import a .csv or .txt file into R, or even how to scan URLs, as I have explained in other articles: