Skip to main content
SimilarExport ZIP
100%

Data Summary

✓ Published0🌍 Public
RRainismZ
Last edited Sep 18, 2017
Created on Sep 18, 2017

This example displays a text-based summary of a dataset about affordable housing projects in Los Angeles, sourced from DataLA. It lists the total number of rows, columns, and file size, followed by a per-column statistical breakdown. The code loads the CSV data using `d3.csv`, then employs Datalib's `dl.format.summary` function to generate the analysis. The resulting text is rendered into a `<pre>` element using `d3.select` and `append`.

AI-generated description

This dataset is about HCIDLA Affordable Housing Projects Catalog And Listing (2003 To Present).

The raw csv file can be found here in DataLA.

More about this theme click this link.

This example summarizes a data table using Datalib. You can fork this Block and change the data to get a quick overview of the shape of your data.

Forked from <a href='http://bl.ocks.org/curran/'>curran</a>'s block: <a href='http://bl.ocks.org/curran/f849f374f21c490c5490d501636bdb77'>Data Table Summary</a>

mit Licensed

Similar vizzes

Loading thumbnail…

Data Summary

This example displays a plain-text summary of a tabular dataset, listing the row count, column count, file size, and a per-column statistical breakdown. A CSV containing New York City housing development records is loaded with `d3.csv`, then processed by the `dl.format.summary` method from Datalib to generate the column descriptions. The resulting text is rendered inside a `pre` element appended to the body using standard D3 selections in version 4.

RRainismZ
87% match
Loading thumbnail…

Data Summary

This example displays a plain-text summary of a car dataset from the UCI Machine Learning Repository, showing the total row count, column count, file size in kilobytes, and per-column statistics like type, min, max, and mean. The code loads the CSV with `d3.csv`, formats the data with `d3.csvFormat`, and uses Datalib’s `dl.format.summary` to generate the statistical breakdown. The result is rendered in a `<pre>` element and also logged to the browser console.

RRainismZ
84% match
Loading thumbnail…

Data Summary

This example displays a plain-text summary of a car dataset from the UCI Machine Learning Repository, showing the total row count, column count, file size in kilobytes, and per-column statistics like type, min, max, and mean. The code loads the CSV with `d3.csv`, formats the data with `d3.csvFormat`, and uses Datalib’s `dl.format.summary` to generate the statistical breakdown. The result is rendered in a `<pre>` element and also logged to the browser console.

RRainismZ
84% match
Loading thumbnail…

Data Summary

This example uses the D3 v4 library to load a CSV file of automobile data and render a plain-text summary of the dataset. The code displays the total number of rows, columns, and file size, followed by a column-by-column breakdown generated by the Datalib `dl.format.summary` API. The summary is printed to the page and the console.

CCurran Kelleher
82% match
Loading thumbnail…

Data Summary

This example displays a text-based summary of a greenhouse gas emissions dataset, which includes the number of rows, columns, and file size, followed by a per-column statistical breakdown. The data is loaded from a CSV file using D3.js’s `d3.csv` method, and the summary is generated with the datalib library’s `dl.format.summary` function. The resulting text is rendered on the page using `d3.select('body').append('pre')` and also logged to the console.

RRobertDelgado
81% match
Loading thumbnail…

Data Summary

This visualization presents a plain-text data summary of the Auto MPG dataset, listing the table’s number of rows, columns, and file size before displaying per-column statistical summaries. It loads the CSV using `d3.csv` and formats the output with Datalib’s `dl.format.summary` API, rendering the result as a `<pre>` element on the page. The example works entirely through text, providing a quick structural overview of the data without any graphical charts.

RRainismZ
79% match
Loading thumbnail…

Data Summary

This example loads a CSV file of English Premier League match data and displays a text-based summary of the dataset’s structure. It computes and prints the total number of rows, columns, file size, and a per-column statistical overview using the Datalib library’s `format.summary` function. The page renders the summary inside a `<pre>` element via D3 v4’s `d3.csv` and `select().append()`, while also logging the same output to the browser console. The code is designed to be reusable with any CSV by simply changing the file path.

RRainismZ
79% match
Loading thumbnail…

Data Summary

This example displays a textual summary of a consumer complaint dataset from Data.gov, showing the number of rows and a column-by-column breakdown after aggregating by month, product, issue, and state. It uses Datalib’s `groupby` and `count` methods to transform the CSV data, then formats the result with `dl.format.summary` and `d3.csvFormat` before rendering it in a `<pre>` element on the page. The code highlights how Datalib can compute and present data summaries directly in the browser.

CCurran Kelleher
78% match