npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

csvpro

v1.1.1

Published

a npm package that several functionalities related to csv

Downloads

6

Readme

CSVPro - One Stop solution for csv

CSV to JSON Conversion : Convert CSV files to JSON format, with support for:

  • Custom delimiters.
  • Preserving data types (integers, floats, booleans, dates, nulls).
  • andling missing values.
  • Trimming whitespace.
  • Custom type mapping for specific columns.
  • Chunk processing for efficient handling of large files.

Duplicate Row Detection : Identify and retrieve duplicate rows from a dataset.

Row Filtering : Filter rows in a dataset based on custom conditions.

Row Sorting : Sort rows in a dataset based on a specified key (column), in ascending or descending order.

Row Grouping : Group rows in a dataset by a specified key (column), returning an object with grouped rows.

$ npm install csvpro 
import { csvToJson, checkDuplicateRows, filterRows, sortRows, groupBy ,countValues, sumValues, averageValues, minValue, maxValue} from 'csvPro';
import path from 'path';
import { fileURLToPath } from 'url';

// Convert import.meta.url to a file path

const __filename = fileURLToPath(import.meta.url);
const __dirname = path.dirname(__filename);

const filePath = path.join(__dirname, 'demo2.csv');

const options = {
    delimiter: ',', // Custom delimiter
    defaultValue: 'N/A', // Default value for missing entries
    trimWhitespace: true, // Trim whitespace
    preserveTypes: true, // Preserve data types
    customTypeMapping: { // Custom type mapping
        rollNo: (value) => parseInt(value, 10),
        weight: (value) => parseFloat(value),
    },
    chunkSize: 1000 // Process 1000 rows at a time
};

const jsonData = await csvToJson(filePath, options);
console.log('JSON Data:', jsonData);

const duplicates = checkDuplicateRows(jsonData);
console.log('Duplicate Rows:', duplicates);

const filteredData = filterRows(jsonData, row => row.age > 18);
console.log('Filtered Data:', filteredData);

const sortedData = sortRows(jsonData, 'score', false);
console.log('Sorted Data:', sortedData);

const groupedData = groupBy(jsonData, 'class');
console.log('Grouped Data:', groupedData);

// Aggregation Examples
const ageCounts = countValues(jsonData, 'age');
console.log('Age Counts:', ageCounts);

const totalScore = sumValues(jsonData, 'score');
console.log('Total Score:', totalScore);

const averageScore = averageValues(jsonData, 'score');
console.log('Average Score:', averageScore);

const minScore = minValue(jsonData, 'score');
console.log('Min Score:', minScore);

const maxScore = maxValue(jsonData, 'score');
console.log('Max Score:', maxScore);