Simple example of converting CSV to JSON object

gistfile1.txt

import parse from 'csv-parse/lib/sync';
import fs from 'fs'

const csv = fs.readFileSync('src/countries.csv')
const records = parse(csv.toString('utf-8'), {
    columns: true, 
    skip_empty_lines: true
})

fs.writeFileSync('src/countrycode.js', JSON.stringify(records, null, 2))

/* csv file contains following lines
name,telCode,population,area,gdp,iso2,iso3
Afghanistan,93,"29,121,286","647,500",20.65 Billion,AF,AFG
Albania,355,"2,986,952","28,748",12.8 Billion,AL,ALB
. . .
*/

/* if no 'columns' option, resulting records will look like as below:
[ 'name', 'telCode', 'population', 'area', 'gdp', 'iso2', 'iso3' ]
[ 'Afghanistan',
  '93',
  '29,121,286',
  '647,500',
  '20.65 Billion',
  'AF',
  'AFG' ]
[ 'Albania',
  '355',
  '2,986,952',
  '28,748',
  '12.8 Billion',
  'AL',
  'ALB' ]
*/

/* If 'columns: true' option is given, resulting record of array is json object as below:
{ name: 'Afghanistan',
  telCode: '93',
  population: '29,121,286',
  area: '647,500',
  gdp: '20.65 Billion',
  iso2: 'AF',
  iso3: 'AFG' }
{ name: 'Albania',
  telCode: '355',
  population: '2,986,952',
  area: '28,748',
  gdp: '12.8 Billion',
  iso2: 'AL',
  iso3: 'ALB' }
{ name: 'Algeria',
  telCode: '213',
  population: '34,586,184',
  area: '2,381,740',
  gdp: '215.7 Billion',
  iso2: 'DZ',
  iso3: 'DZA' }

*/