Word clouds visualize text frequency data by rendering each word at a font size proportional to its count or weight. They provide a rapid overview of the most prominent terms in a dataset, making them popular for survey responses, customer feedback, and keyword analysis.

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{
  "title": {
    "text": "Top Tech Skills in Job Postings"
  },
  "data": [
    {
      "word": "JavaScript",
      "count": 95
    },
    {
      "word": "Python",
      "count": 92
    },
    {
      "word": "React",
      "count": 88
    },
    {
      "word": "TypeScript",
      "count": 82
    },
    {
      "word": "SQL",
      "count": 78
    },
    {
      "word": "Node.js",
      "count": 74
    },
    {
      "word": "Docker",
      "count": 68
    },
    {
      "word": "AWS",
      "count": 65
    },
    {
      "word": "Kubernetes",
      "count": 58
    },
    {
      "word": "GraphQL",
      "count": 52
    },
    {
      "word": "TensorFlow",
      "count": 48
    },
    {
      "word": "Git",
      "count": 91
    },
    {
      "word": "CI/CD",
      "count": 45
    },
    {
      "word": "MongoDB",
      "count": 42
    },
    {
      "word": "PostgreSQL",
      "count": 55
    },
    {
      "word": "Redis",
      "count": 38
    },
    {
      "word": "Next.js",
      "count": 61
    },
    {
      "word": "Rust",
      "count": 28
    },
    {
      "word": "Go",
      "count": 35
    },
    {
      "word": "Terraform",
      "count": 32
    }
  ],
  "series": [
    {
      "type": "wordcloud",
      "textKey": "word",
      "valueKey": "count",
      "minFontSize": 12,
      "maxFontSize": 60,
      "fills": [
        "#6366f1",
        "#8b5cf6",
        "#f43f5e",
        "#f59e0b",
        "#10b981",
        "#06b6d4"
      ]
    }
  ]
}

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Twenty programming and technology keywords sized by frequency of mention in job postings.

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