Data Table Summary

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

85% 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.

84% 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.

84% match

Data Table Summary

This example displays a plain-text summary of a CSV data table, showing row count, column count, file size, and the first 10 rows as formatted JSON. It uses d3.csv to load the data and d3.csvFormat to compute its byte size. The page renders the information in green monospace text on a black background, with the data sourced from the United Nations World Population Prospects 2017.

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

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

Data Table Summary