Inspecting some data

100%

Inspecting some data

✓ Published0🌍 Public

Last edited Apr 24, 2019

Created on Apr 23, 2019

This example loads a CSV dataset of automobile fuel consumption from a remote URL and displays a plain-text summary of its basic structure: row count, column count, and file size in kilobytes. It then prints the first ten rows of the data as formatted JSON. The implementation uses d3.csv to fetch and parse the data, d3.csvFormat to calculate the raw size, and d3.select to append multiple <pre> elements to the body, with JSON.stringify providing readable output.

AI-generated description

This is the weather station data list from Environment Canada

MIT Licensed

Similar vizzes

Loading thumbnail…

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

83% match

Loading thumbnail…

Data Table Summary

This example summarizes a CSV dataset by displaying its dimensions and a preview. It first shows the total row and column counts along with the file size in kilobytes, calculated using `csvFormat`. It then displays the first 10 rows as formatted JSON. The code loads the auto-mpg dataset via `d3.csv` and builds the text output using D3 selections to append `<pre>` elements.

MMinwoo Pak

82% match

Loading thumbnail…

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

81% match

Loading thumbnail…

Data Table Summary

This example summarizes a CSV dataset by displaying its row count, column count, and file size in kilobytes, followed by the first ten rows as formatted JSON. Two `pre` elements present this text output, styled with green monospace text on a black background. The data originates from the Lending Club loan dataset, though the code uses a simpler ten-country population sample. It loads the file with `d3.csv`, computes the size via `d3.csvFormat`, and renders the output using D3 selections with `select` and `append`.

MMukund Khandelwal

81% match

Loading thumbnail…

Dataset #3

This example displays a summary of a CSV dataset, showing the row count, column count, and file size in kilobytes, followed by the first ten rows as JSON. The page uses D3 v7 via `d3.csv` to load the data and the `select` and `append` methods to render the text into `pre` elements. The data source is a local `data.csv` file containing exam scores, and the styling is minimal with a yellow background and large monospaced text.

JJamesHop31

80% match

Loading thumbnail…

Data Table Summary

This example displays a plain-text summary of a loaded CSV file, showing the total row count, column count, and file size in kilobytes, followed by the first ten rows formatted as JSON. It imports `select`, `csv`, and `csvFormat` from D3 v5 to fetch `data.csv` and compute the byte length. The output renders in a monospace `<pre>` element styled with green-on-black terminal colors. The dataset describes daily high and low stock prices for several tickers, sourced from a 2018 United Nations population report.

Vveagy

80% match

Loading thumbnail…

data_1

This example displays a text summary of a dataset loaded from a remote CSV file, showing its size in kilobytes, row count, and column count in large monospaced text. It fetches the data from a GitHub gist using `d3.csv`, then formats the data back to a string with `d3.csvFormat` to calculate its length. The resulting message is rendered into a `pre` element via standard DOM manipulation, with D3 v7 handling the asynchronous data loading.

NNikithakatta30

80% match

Loading thumbnail…

Parsing CSV Data

This example displays a text summary of a CSV dataset loaded from a remote URL. Using the D3.js `d3.csv` method, it fetches and parses the file, then reports the row count, column count, and approximate file size in kilobytes into an HTML `<pre>` element. The sample data comes from a raw GitHub-hosted CSV file containing CSS named colors. The page is minimal, with a large-font style applied to the output container.

DDhvanil Vaghasiya

80% match