How to write a json through R?

This recipe helps you write a json through R

Recipe Objective

JSON stands for JavaScript Object Notation. .JSON file is in a text file format which is interchagable and primarily used for data transmission between server and web apps. It is easy to understand and self describing.

In this recipe we will discuss how to write a JSON file through R

Step 1: Installing and loading the required package

We use "rjson" package to write json files

install.packages("rjson") library(rjson)

Step 2: Creating a list of objects

We create a list of objects using vector() function

Syntax: vector(mode, length)

where:

  1. mode = "list" if we are interested in creating lists;
  2. length = the number of lists it can store
list_1 = vector(mode="list", length = 2) ​ # assigning different objects to the list list_1[[1]] = c("Rick","Dan","Michelle","Ryan") list_1[[2]] = c("623.3","843.25","578","722.5")

Step 3: Writing a JSON file

First we read the above list to JSON. We use toJSON function to do so.

myfile = toJSON(list_1)

Writing the JSON object created to a file named "myJSON". We use write() function to do so.

write(myfile, "myJSON.json")

What Users are saying..

profile image

Jingwei Li

Graduate Research assistance at Stony Brook University
linkedin profile url

ProjectPro is an awesome platform that helps me learn much hands-on industrial experience with a step-by-step walkthrough of projects. There are two primary paths to learn: Data Science and Big Data.... Read More

Relevant Projects

Machine Learning project for Retail Price Optimization
In this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the first steps to building a dynamic pricing model.

Time Series Analysis with Facebook Prophet Python and Cesium
Time Series Analysis Project - Use the Facebook Prophet and Cesium Open Source Library for Time Series Forecasting in Python

Build Regression (Linear,Ridge,Lasso) Models in NumPy Python
In this machine learning regression project, you will learn to build NumPy Regression Models (Linear Regression, Ridge Regression, Lasso Regression) from Scratch.

Build Portfolio Optimization Machine Learning Models in R
Machine Learning Project for Financial Risk Modelling and Portfolio Optimization with R- Build a machine learning model in R to develop a strategy for building a portfolio for maximized returns.

Build a Dashboard using Looker Studio for Household Analytics
In this data analysis project, build a dynamic dashboard for analyzing household income and expenditure data for insights into social assistance effectiveness across transitioning economies.

Build a Text Classification Model with Attention Mechanism NLP
In this NLP Project, you will learn to build a multi class text classification model with attention mechanism.

Text Classification with Transformers-RoBERTa and XLNet Model
In this machine learning project, you will learn how to load, fine tune and evaluate various transformer models for text classification tasks.

Build an Image Segmentation Model using Amazon SageMaker
In this Machine Learning Project, you will learn to implement the UNet Architecture and build an Image Segmentation Model using Amazon SageMaker

AWS MLOps Project for Gaussian Process Time Series Modeling
MLOps Project to Build and Deploy a Gaussian Process Time Series Model in Python on AWS

Insurance Pricing Forecast Using XGBoost Regressor
In this project, we are going to talk about insurance forecast by using linear and xgboost regression techniques.