Skip to main content
SimilarExport ZIP
100%

Fast Food Restaurants Across America_1

✓ Published5🌍 Public
NNTCHANG1289
Last edited Oct 20, 2018
Created on Sep 4, 2018

This example presents a console-style summary of a dataset containing 10,000 fast food restaurant locations across America. The visualization displays the total row count, column count, file size in kilobytes, and a JSON-formatted preview of the first ten records. The code uses D3’s `csv` API to load the remote CSV file and `select` to access the DOM, appending multiple `pre` elements to the body. The data originates from a Kaggle dataset, and the minimal, monochrome styling with green text on a black background evokes a terminal interface.

AI-generated description

This data is about locations of fast food restaurant. The data contains 10,000 records.

This data comes from Kaggle in Fast Food Restaurants Across America.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fast Food Restaurants Across America_2

This example displays basic dataset information and a preview of the first 10 rows from a CSV file containing 10,000 fast food restaurant locations across America. It uses D3 v5’s `csv` method to load the data, then appends `<pre>` elements to the body showing the row count, column count, file size in kilobytes, and a JSON-formatted sample of the records. The visualization relies on D3’s `select`, `csv`, and `csvFormat` APIs, with styling applied via CSS.

NNTCHANG1289
94% match
Loading thumbnail…

Fast Food Restaurants Across America_3

This gallery example displays the first 10 rows of a 10,000-record dataset on fast food restaurant locations, alongside summary statistics such as row count, column count, and file size in kilobytes. The visualization uses the `select` and `csv` functions from the d3.v5 library to fetch and parse the CSV data from an external Kaggle-hosted source. It then appends preformatted text blocks to the document body, styling the output with monospaced text on a black background with green terminal-like aesthetics, as defined in the accompanying stylesheet.

NNTCHANG1289
93% match
Loading thumbnail…

Data Table Summary

This visualization displays a plain-text summary of a dataset containing nutritional information for fast food items in the US, such as row count, column count, and file size. It also prints the first 10 rows of the data as formatted JSON. The code uses `d3.csv` to load the data from a CSV file, then appends the summary and preview to the page using D3’s selection and `append` methods, with styling applied via CSS.

Wwangjonathan
81% match
Loading thumbnail…

Fast Food Nutrition

This example displays the first row of a fast food nutrition dataset in raw JSON format, revealing attributes like calories, fat, sodium, and protein for items from McDonald’s and other chains. The code uses the `data.csv` import to load the dataset, then logs the keys and converts all quantitative attributes to numbers via a loop. The main function renders the parsed data as a formatted `<pre>` element, offering a static preview of the dataset’s structure.

Ppbruss@bu.edu
75% match
Loading thumbnail…

fast-food-nutrition-dataset-v4

A static preview of the first record from the Fast Food Nutrition dataset, shown as a formatted JSON object in a large monospace font. The example uses a raw HTML `<pre>` element to render the parsed CSV data, with JavaScript converting all numeric string fields to numbers via unary plus operators in an `index.js` file. The visualization imports the dataset using a custom `data.csv` module and exports the parsed array for reuse, demonstrates a minimal approach to inspecting data structure without any charting library.

Ppbruss@bu.edu
74% match
Loading thumbnail…

Fast Food Nutrition Dataset Update

This example displays the first row of the Fast Food Nutrition dataset as formatted JSON, showing all nutritional fields for a single menu item. After loading data.csv, the code converts each numeric column to a number type, then uses `JSON.stringify` with indentation to render the record inside an HTML `<pre>` element. The visualization is minimal, prioritizing raw data inspection over charting or interactive graphics.

Ppbruss@bu.edu
74% match
Loading thumbnail…

Data Table Summary

This example displays a plain-text summary of a CSV file, showing the row count, column count, and file size in kilobytes, followed by the first 10 rows as formatted JSON. The visualization uses D3 v5’s `select` and `csv` APIs to load and parse the data, then writes the output into `pre` elements on a black background with green monospace text. The data, sourced from a file about Mario game sales, is processed entirely in the browser without additional rendering libraries.

CChooo4u
73% match
Loading thumbnail…

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
73% match