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Convert JSON files to visual charts

Written by

Bernardo Palos

in

Converting JSON files to visual charts typically involves these steps:

  1. Parse the JSON data to extract relevant information.

  2. Select the type of chart based on data structure and what you want to visualize (bar, line, pie, etc.).

  3. Use a charting library to create the visualization.

Here’s a general guide with some popular tools and examples:

Example with JavaScript and Chart.js

Assuming you have a JSON file like:

json
[
  {"category": "A", "value": 30},
  {"category": "B", "value": 20},
  {"category": "C", "value": 50}
]

Steps:

  1. Load and parse JSON (via fetch or static data).

  2. Extract labels and values.

  3. Feed into Chart.js to render a chart.

html
<!DOCTYPE html>
<html>
<head>
  <title>JSON to Chart</title>
  <script src="https://cdn.jsdelivr.net/npm/chart.js"></script>
</head>
<body>
  <canvas id="myChart" width="400" height="200"></canvas>

  <script>
    // Sample JSON data
    const jsonData = [
      {"category": "A", "value": 30},
      {"category": "B", "value": 20},
      {"category": "C", "value": 50}
    ];

    const labels = jsonData.map(item => item.category);
    const dataValues = jsonData.map(item => item.value);

    const ctx = document.getElementById('myChart').getContext('2d');
    const myChart = new Chart(ctx, {
      type: 'bar', // chart type
      data: {
        labels: labels,
        datasets: [{
          label: 'Values',
          data: dataValues,
          backgroundColor: 'rgba(54, 162, 235, 0.7)'
        }]
      },
      options: {
        responsive: true,
        scales: {
          y: {
            beginAtZero: true
          }
        }
      }
    });
  </script>
</body>
</html>

Python with Matplotlib or Plotly

If you want a backend/script solution:

python
import json
import matplotlib.pyplot as plt

# Load JSON file
with open('data.json') as f:
    data = json.load(f)

categories = [item['category'] for item in data]
values = [item['value'] for item in data]

plt.bar(categories, values)
plt.xlabel('Category')
plt.ylabel('Value')
plt.title('Bar Chart from JSON')
plt.show()

Or use Plotly for interactive charts:

python
import json
import plotly.express as px

with open('data.json') as f:
    data = json.load(f)

fig = px.bar(data, x='category', y='value', title='Bar Chart from JSON')
fig.show()

Tools & Libraries

  • JavaScript: Chart.js, D3.js, Google Charts, ApexCharts

  • Python: Matplotlib, Plotly, Seaborn, Bokeh

  • Online tools: Many websites allow JSON upload to create charts directly (e.g., Datawrapper, RAWGraphs).

If you want, provide a sample JSON and preferred chart type, and I can generate a specific example for you.

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