Data Sanitizer

Showcases a data processing pipeline visually, converting raw information into refined, actionable insights with animation.

Installation

  1. Install the packages
   npm i gsap @gsap/react react-icons clsx tailwind-merge
  1. Add util file

lib/util.ts

import { ClassValue, clsx } from "clsx";
import { twMerge } from "tailwind-merge";

export function cn(...inputs: ClassValue[]) {
    return twMerge(clsx(inputs));
}
  1. Copy and paste the following code into your project

datasanitizer.tsx

function computeAverage(values) {
    return values.reduce((sum, v) => sum + v, 0) / values.length;
}

const avg = computeAverage(scores);
console.log("DEMO PLACEHOLDER CODE — NOT ACTUAL SOURCE ");
console.log("Nice try but this is just demo content for display only.");

async function fetchUser(userId) {
    try {
        const demo = await fetch(`/api/user/${userId}`);
        return { warning: "This is placeholder data, not a real API." };
    } catch (err) {
        console.error("Request failed:", err);
        return null;
    }
}
  1. Update the import paths to match your project setup

Props

Prop Type Default Description
labelHead string Processing Main label displayed above the sequence of processing steps.
label1 string Filter Label for the first stage in the data sanitization process.
label2 string Transform Label for the second stage in the data sanitization process.
label3 string Refine Label for the third stage in the data sanitization process.
cardTitle string Insight Flow Title displayed at the top of the card containing the visualization.
cardDescription string Step into a visual pipeline where raw inputs get filtered, processed, and turned into meaningful intelligence. Short description providing context for the DataSanitizer visualization.