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Data Visualization

Social Media Analytics Dashboard .

React D3.js Node.js
Social Media Analytics Dashboard

Overview

A real-time dashboard that aggregates social media metrics across platforms (Twitter, Instagram, LinkedIn) and visualizes trends, engagement, and sentiment.

Analytics Dashboard

Features

Real-time Visualizations

  • Line charts for follower growth
  • Heat maps for engagement by time of day
  • Word clouds for trending hashtags
  • Sentiment analysis gauge

D3.js Integration

import * as d3 from 'd3';

function renderLineChart(data) {
    const svg = d3.select('#chart')
        .append('svg')
        .attr('width', 800)
        .attr('height', 400);
    
    const xScale = d3.scaleTime()
        .domain(d3.extent(data, d => d.date))
        .range([0, 800]);
    
    const yScale = d3.scaleLinear()
        .domain([0, d3.max(data, d => d.value)])
        .range([400, 0]);
    
    const line = d3.line()
        .x(d => xScale(d.date))
        .y(d => yScale(d.value));
    
    svg.append('path')
        .datum(data)
        .attr('d', line)
        .attr('stroke', '#00ffff');
}

Data Pipeline

  1. Collection: Scheduled jobs fetch data from APIs
  2. Processing: Calculate metrics and sentiment scores
  3. Streaming: WebSocket pushes updates to dashboard
  4. Storage: Time-series data in InfluxDB

Insights Provided

  • Best time to post for maximum engagement
  • Content type performance (images vs. text vs. video)
  • Audience demographic breakdown
  • Competitor benchmarking