Moodgram Visualization Strategy

1. Real-Time Global Mood Map

Implementation

Use a WebGL-powered globe visualization

Color-coded regions based on dominant mood

Pulse animations for real-time mood submissions

Heat map overlay option for mood intensity

Technical Approach

// Using Three.js for globe visualization

const globeVisualization = {

  dataStructure: {

    type: 'FeatureCollection',

    features: [{

      type: 'Feature',

      geometry: {

        type: 'Point',

        coordinates: [longitude, latitude]

      },

      properties: {

        mood: 'happy',

        intensity: 0.8,

        timestamp: '2024-01-04T12:00:00Z'

      }

    }]

  },

  updateFrequency: '10s',

  aggregationLevels: ['city', 'region', 'country']

}

2. Temporal Pattern Analysis

Daily Patterns

24-hour circular visualization

Mood distribution by hour

Intensity represented by radius

Color coding for mood types

Weekly/Monthly Trends

Heat map calendar view

Week/month summary statistics

Moving averages

Seasonal pattern detection

3. Correlation Visualizations

Weather Correlations

Temperature vs. mood scatter plots

Precipitation impact analysis

Seasonal affect visualization

Event Correlations

Global event overlay

Local event impact analysis

Time-zone adjusted comparisons

4. Personal Insights Dashboard

Individual Trends

Personal mood calendar

Comparison to regional averages

Streak tracking

Pattern recognition

Customization Options

Color scheme selection

Visualization preferences

Data granularity settings

Privacy filters

5. Social Connectivity Visualizations

Community Patterns

Mood similarity clusters

Geographic mood communities

Temporal mood waves

Emotional support networks

Technical Implementation Guidelines

Performance Optimization

const visualizationOpt