Skip to main content
SimilarExport ZIP
100%

Loading and Parsing CSV Data - Amazon Bestsellers List Dataset

✓ Published1🌍 Public
SSitanshu Rupani
Last edited Sep 29, 2021
Created on Sep 2, 2021

This example demonstrates loading and parsing a CSV file using D3 v5, displaying the dataset’s size in kilobytes, row count, and column count as large text. It fetches Amazon bestselling books data from a GitHub gist via `d3.csv` and processes it with `d3.csvFormat` to calculate the byte size. The visualization confirms successful data ingestion without rendering charts, focusing solely on the parsing step. The data includes book titles, authors, genres, user scores, prices, years, and review counts from 2009 to 2019.

AI-generated description

This fork showcases loading and parsing of the Amazon Top 50 Bestsellers List Dataset.
The dataset is a list of top 50 bestsellers on amazon.com from 2009 to 2019.
It contains columns such as book title, author, genre, user scores, price, year and number of reviews.
The dataset can provide interesitng insights in reading behaviour and tastes of readers across the years.

Source of this data is from this gist - Amazon Bestselling Books Dataset(2009-2019)

MIT Licensed

Similar vizzes

Loading thumbnail…

Loading and Parsing CSV Data with D3

This example demonstrates how to load and parse a CSV file using D3.js, displaying basic dataset statistics. The visualization shows the file size in kilobytes, row count, and column count within a large text element. The code fetches a CSV file containing CSS named colors from a GitHub Gist, uses `d3.csv` to retrieve and parse the data, then `d3.csvFormat` to measure its size, and finally updates the page’s pre-formatted text content. The D3 v5 API handles the asynchronous data loading and parsing.

Bbakstorage00001
84% match
Loading thumbnail…

Loading and Parsing CSV Data with D3

This example demonstrates how to load and parse a CSV file using D3.js, displaying basic dataset statistics. The visualization shows the file size in kilobytes, row count, and column count within a large text element. The code fetches a CSV file containing CSS named colors from a GitHub Gist, uses `d3.csv` to retrieve and parse the data, then `d3.csvFormat` to measure its size, and finally updates the page’s pre-formatted text content. The D3 v5 API handles the asynchronous data loading and parsing.

Bbakstorage00001
84% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data with D3, displaying basic metadata about the dataset. After fetching the CSV file from a GitHub gist, it computes and presents the file size in kilobytes, the total number of rows, and the column count. The visualization uses D3's `d3.csv` method to asynchronously fetch and parse the data, followed by `d3.csvFormat` to measure the raw text length. The resulting statistics are rendered as large text in an HTML `<pre>` element, with alternative commented-out approaches using `fetch`, `async`/`await`, and `d3.csvParse`.

LLei Lei
82% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5, displaying file size, row count, and column count in a large pre-formatted text element. The code uses `d3.csv()` to fetch and parse the dataset from a GitHub-hosted CSV file containing NYC social media usage data, then formats the statistics with `d3.csvFormat()` to calculate kilobyte size. An alternative commented-out approach uses the Fetch API with `async`/`await` and `d3.csvParse()` for manual parsing. The example concisely shows the core workflow of retrieving and inspecting tabular data in a browser environment.

KKarenNg
82% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5, displaying file size, row count, and column count in a large pre-formatted text element. The code uses `d3.csv()` to fetch and parse the dataset from a GitHub-hosted CSV file containing NYC social media usage data, then formats the statistics with `d3.csvFormat()` to calculate kilobyte size. An alternative commented-out approach uses the Fetch API with `async`/`await` and `d3.csvParse()` for manual parsing. The example concisely shows the core workflow of retrieving and inspecting tabular data in a browser environment.

KKarenNg
82% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5, displaying the file’s size, row count, and column count as text. It fetches the CSS Named Colors dataset from a GitHub gist via `d3.csv`, then formats the result with `d3.csvFormat` to compute the kilobyte size. The visualization also includes commented alternatives using `fetch` with `async`/`await` and `d3.csvParse`, highlighting different parsing approaches. The output appears in a `<pre>` element with large font styling, showing only textual metadata rather than a graphical chart.

AAn Jingyi
82% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates the process of loading, parsing, and summarizing a CSV file using the D3.js library’s `d3.csv` method. It displays the data’s size in kilobytes, total row count, and column count in a large text element. The data originates from a GitHub-hosted CSS named color dataset. The code also includes commented-out alternatives using `fetch` with async/await and the `d3.csvParse` function, though the active path uses `d3.csv` and `d3.csvFormat` to calculate the file size.

SSamir Nandardhane
82% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates the basic process of loading and parsing CSV data by displaying the file size, row count, and column count of a remote dataset. It fetches a CSV file from a GitHub Gist using the `fetch` API, then parses it with `d3.csv` and re-formats it with `d3.csvFormat` to compute the kilobyte size. The parsed data’s dimensions are displayed in large text within a `<pre>` element. The code also includes an alternative commented-out approach using `d3.csvParse` on raw text.

Sspace-captain96
82% match