JSON file converts data as text to a human-readable format; Does not store. Json is actually a JavaScript object symbol. R can read JSON files using the rjson package.

Install the rjson package

In R console you can use the following command to install the rjson package:

install.packages (“rjson”)

Input data

By copying the following data into a data editor such as Windows Notepad; Create a JSON file. Save the file with a .json extension and select the file type as all files (*. *).

{

“ID”: [“1 ″,” 2 ″, ”3 ″,” 4 ″, ”5 ″,” 6 ″, ”7 ″,” 8 ”],

Name: [“Rick”, “Dan”, “Michelle”, “Ryan”, “Gary”, “Nina”, “Simon”, “Guru”],

“Salary”: [“623.3 ″,” 515.2 ″, “611 ″,” 729 ″, “843.25 ″,” 578 ​​″, “632.8 ″,” 722.5 “],

“StartDate”: [“1/1/2012 ″,” 9/23/2013 ″, ”11/15/2014 ″,” 5/11/2014 ″, ”3/27/2015 ″,” 5/21 / 2013 ”,

“7/30/2013”, “6/17/2014”],

“Dept”: [“IT”, “Operations”, “IT”, “HR”, “Finance”, “IT”, “Operations”, “Finance”]

}

Read the JSON file

JSON file by r; Reads using the JSON () function. This file is saved as a list in R.

# Load the package required to read JSON files.

library (“rjson”)

# Give the input file name to the function.

result <- fromJSON (file = “input.json”)

# Print the result.

print (result)

When we run the above code; The following result is obtained:

$ ID

[1] “1” “2” “3” “4” “5” “6” “7” “8”

$ Name

[1] “Rick” “Dan” “Michelle” “Ryan” “Gary” “Nina” “Simon” “Guru”

$ Salary

[1] “623.3” “515.2” “611” “729” “843.25” “578” “632.8” “722.5”

$ StartDate

[1] “1/1/2012” “9/23/2013” ​​“11/15/2014” “5/11/2014” “3/27/2015” “5/21/2013”

“7/30/2013” ​​“6/17/2014”

$ Dept

[1] “IT” “Operations” “IT” “HR” “Finance” “IT”

“Operations” “Finance”

Convert JSON to a data frame

We can convert the data extracted above into a dataframe so that we can perform further analysis on it using the as.data.frame () function.

# Load the package required to read JSON files.

library (“rjson”)

# Give the input file name to the function.

result <- fromJSON (file = “input.json”)

# Convert JSON file to a data frame.

json_data_frame <- as.data.frame (result)

print (json_data_frame)

When we run the above code; The following result is obtained:

id, name, salary, start_date, dept

1 1 Rick 623.30 2012-01-01 IT

2 2 Dan 515.20 2013-09-23 Operations

3 3 Michelle 611.00 2014-11-15 IT

4 4 Ryan 729.00 2014-05-11 HR

5 NA Gary 843.25 2015-03-27 Finance

6 6 Nina 578.00 2013-05-21 IT

7 7 Simon 632.80 2013-07-30 Operations

8 8 Guru 722.50 2014-06-17 Finance