The visualization displays monthly and seasonal global temperature anomalies from 1880 onward, using data from the `temperatures.csv` file. It builds a compact heatmap-style or sparkline-based grid, with each row representing a year and each cell showing the temperature deviation. The implementation uses D3.js to parse the CSV data and render the graphic, leveraging SVG or canvas primitives to represent the numeric values across the various time columns. The code processes the tabular data directly, mapping the values to visual elements through D3’s data-binding and layout functions.