Implementing Lazy Loading in React Charts for Large Datasets

Demonstrate how to implement lazy loading in TanStack React Charts when dealing with large datasets, such as genomic sequences, to optimize performance and user experience.

import { useState, useEffect } from 'react';
import { Chart } from 'react-chart';

Imports the necessary hooks from React and the Chart component from react-chart library.

const LazyLoadingChart = ({ datasetUrl }) => {
  const [data, setData] = useState([]);
  const [isLoading, setIsLoading] = useState(false);
  const [error, setError] = useState(null);

  useEffect(() => {
    const fetchData = async () => {
      setIsLoading(true);
      try {
        const response = await fetch(`${datasetUrl}?limit=1000`);
        const initialData = await response.json();
        setData(initialData);
        setIsLoading(false);
      } catch (e) {
        setError(e);
        setIsLoading(false);
      }
    };

    fetchData();
  }, [datasetUrl]);

  if (isLoading) return <p>Loading...</p>;
  if (error) return <p>Error loading data</p>;

  return <Chart type='line' data={data} />;
};

Defines a functional component that fetches a portion of the dataset initially and renders a chart. It shows loading and error states.

window.onscroll = () => {
  if (window.innerHeight + document.documentElement.scrollTop === document.documentElement.offsetHeight) {
    // Trigger loading more data here
  }
};

An event listener for detecting when the user has scrolled to the bottom of the page, which can be used to load more data.

// Placeholder function for loading more data
const loadMoreData = async () => {
  // Implement fetching and appending more data to the chart
};

A placeholder function that should be implemented to fetch and append more data to the chart when the user scrolls to the bottom.