fresh block
A choropleth-style data visualization titled "fresh block" maps sequential values from a CSV file (df_vis.csv) onto a rectangular grid of cells, where each cell's fill color encodes the numeric value of the `gor_dv` column (ranging from -9 to 10). The visualization renders an SVG grid using D3.v3, with each row representing an index value and each column representing a data point. The color scale maps the discrete integer values to a palette, creating a striped block pattern where the dominant value 7 appears as a uniform background, interrupted by occasional contrasting cells (such as 1, 2, 4, 6, 8, 9, 10, and -9) that stand out as visual anomalies or events. The result is a minimalist, pixel-like display of temporal or sequential data, emphasizing the distribution and outliers in the dataset. The file is built with Blockbuilder.org and released under the MIT license.# fresh block
A minimalist SVG visualization of sequential categorical data from a CSV file, rendered as a grid of colored cells using D3.v3. Each cell represents one data point in a time series, where the dominant value (7) forms a consistent baseline, with occasional anomalous values (1–10 and -9) creating sparse but noticeable visual interruptions. The example demonstrates how a simple tile-based encoding can reveal patterns and outliers in a dataset, with the fresh color palette and block layout inviting closer inspection of the underlying data. Built with Blockbuilder.org and released under the MIT license.