What potential pitfalls should be considered when normalizing data for a bar chart in PHP?

When normalizing data for a bar chart in PHP, one potential pitfall to consider is ensuring that the data is properly scaled to fit within the range of the chart. This involves calculating the maximum value in the dataset and then scaling all values proportionally. Failure to do so may result in skewed or inaccurate representations on the chart. Additionally, it is important to handle cases where the dataset may contain negative values or outliers that could affect the visualization.

// Sample data normalization for a bar chart
$data = [10, 20, 30, 40, 50];

// Calculate the maximum value in the dataset
$max_value = max($data);

// Scale all values proportionally
$normalized_data = array_map(function($value) use ($max_value) {
    return ($value / $max_value) * 100; // Scale to fit within 0-100 range
}, $data);

// $normalized_data can now be used to create a bar chart