Data Table Summary

Data Table Summary

This example displays a plain-text summary of a car dataset through D3 v5. It loads a CSV file with approximately 400 records and outputs the total row count, column count, and file size in kilobytes. The page then prints the first 10 rows as formatted JSON for quick inspection. Using `d3.csv` and `d3.csvFormat`, the code calculates data metrics and appends the results to the DOM with the `select` and `append` APIs.

Ssrrajendran

84% match

Data Table Summary

This example shows a plain-text summary of a tabular dataset. It prints the number of rows, columns, and file size in kilobytes, followed by the first ten rows displayed as formatted JSON. The code uses `d3.csv` to load the data, `csvFormat` to compute its size, and `JSON.stringify` to display the preview. Styled with black background and green monospace text, it renders the output into `pre` elements appended to the page body, drawing from the 2013 stock price dataset.

83% match

Data Table Summary

This visualization displays a summary of a dataset loaded from a CSV file, showing the row and column counts alongside the file size in kilobytes. It then prints the first 10 rows of data as a formatted JSON object. The code uses `d3.csv` to fetch and parse the data, `d3.csvFormat` to measure the data size, and `d3.select` to append `<pre>` elements displaying the textual output.

SShane Carey

83% match

Data Table Summary

This example displays a plain-text summary of a tabular dataset, showing the total row count, column count, and file size in kilobytes. It then prints the first ten rows as formatted JSON. The visualization uses D3 v5 APIs such as `d3.csv` to load the data, `d3.csvFormat` to measure its size, and `d3.select` to append `<pre>` elements to the page. The data consists of daily high and low stock prices for five companies sourced from Yahoo Finance.

Data Table Summary

The example displays a plain-text summary of a CSV dataset, first showing the total row count, column count, and file size in kilobytes, then printing the first ten rows as formatted JSON. It loads data asynchronously with `d3.csv` and uses `d3.csvFormat` to calculate the dataset size. The page styling uses a monochrome terminal aesthetic with a black background and green text. The dataset tracks diaper change patterns for a baby over its first 2.5 months, including status and leakage indicators.

Ssrrajendran

Data Table Summary

This visualization displays a plain-text summary of a CSV file containing product data, showing the total number of rows, columns, and file size in kilobytes, followed by the first ten records as formatted JSON. The code uses D3 v5’s `select` and `csv` functions to fetch and parse the data, then appends `<pre>` elements to the page body. The dataset includes product names, prices, SKU numbers, and promotional details from an e‑commerce listing. The dark background with green monospaced text evokes a terminal aesthetic.

NNikkor

Data Table Summary

This example displays a plain-text summary of a CSV data table, showing the row count, column count, and file size in kilobytes, followed by the first ten rows formatted as JSON. The visualization uses d3.csv to load the data, d3.csvFormat to compute the size, and d3.select to append the summaries to the page. The data comes from Yahoo Finance stock prices for five companies.

Data Table Summary