Data Summary

Data Summary

This example displays a textual summary of a dataset detailing mobile cellular subscriptions by country from 1980 to 2013. It shows the total row count, column count, file size, and a statistical overview of each column, generated using the `dl.format.summary` method from the datalib library. Using D3 v4, it loads the CSV file via `d3.csv` and appends the summary as a `<pre>` element to the page, also logging it to the console. The data originates from Our World in Data.

QQ-Zhao

88% match

Data Summary

This example displays a text-based data summary of internet users by world region, listing the number of rows, columns, and file size, followed by a per-column statistical breakdown. It loads a CSV file using `d3.csv` and pipes the data through the `dl.format.summary` API from the DataLib library. The resulting summary string is rendered into a `<pre>` element on the page and also logged to the console. The dataset originates from Our World in Data, covering regional internet user counts from 1990 to 2015.

QQ-Zhao

87% match

Data Table Summary

This example displays a plain-text summary of a dataset containing World Bank GDP figures for all countries from 1970 to 2017. It reports the row count, column count, file size in kilobytes, and prints the first ten rows as formatted JSON. Using D3 v5’s `csv` and `csvFormat` methods, it loads the remote CSV file and calculates the data size, then appends the results to the page with `select` and `append`. The dark terminal-style styling comes from the accompanying CSS.

83% match

Data Table Summary

This example displays a plain-text summary of a CSV file containing World Bank GDP data for 264 countries from 1970 to 2017. It shows the dataset’s row count, column count, and file size in kilobytes, followed by a JSON-formatted preview of the first 10 rows. Using the D3 `csv` and `csvFormat` methods to load and measure the data, it appends the results as text elements to the body via D3 selections.

Data Table Summary

This example summarizes a CSV of World Bank GDP data for all countries from 1960–2017. It displays the total row and column counts, the file size in kilobytes, and a JSON-formatted preview of the first 10 rows. The code uses `d3.csv` to load the data, `d3.csvFormat` to calculate the file size, and `d3.select` to append `<pre>` elements showing the summary. The output appears in monospace green text on a black background.

Data Table Summary

Data Table Summary

This example displays a plain-text summary of a World Bank dataset covering GDP for all countries from 1960 to 2017, showing the row and column counts, the dataset’s size in kilobytes, and the first ten rows as formatted JSON. The page uses black background with green monospace text. It loads the data with `d3.csv`, formats the size with `csvFormat`, and appends the summary and sample rows as `<pre>` elements using D3 selections.

Data Table Summary