Hello VizHub

100%

✓ Published0🌍 Public

Last edited Nov 28, 2019

Created on Nov 8, 2019

This example demonstrates data cleaning of a CSV file containing survey responses about favorite days of the week. The code uses D3.js version 5’s `d3.csv` to fetch the external dataset from a VizHub URL, then applies a series of `Array.filter` calls to remove invalid entries such as empty strings, dates, and non-day answers. After cleaning, `Array.map` standardizes the responses by capitalizing the first letter of each day name. The processed data is logged to the browser console for inspection.

AI-generated description

An example showing the capabilities of VizHub.

MIT Licensed

Similar vizzes

Loading thumbnail…

Hello VizHub

This example displays a dataset of country populations, loading the information from a CSV file using `d3.csv`. The page presents a large, stylized "Hello VizHub!" message in a bold font, centered against a dark blue background with an Ubuntu typeface. The visualization demonstrates basic D3.js v5 data loading and ES6 module usage, though it currently only logs the parsed data to the console. The minimal setup relies on a simple SVG container and a separate JavaScript module that exports the greeting text, showcasing the integration of external stylesheets and modular code structure.

SSanjeet10

73% match

Loading thumbnail…

Hello VizHub

This example demonstrates a simple data-loading workflow using D3.js version 5 and ES6 modules. It displays a static "Hello VizHub!" message styled with a large Ubuntu font on a dark blue background. The code imports the `select` and `csv` functions from D3, then fetches `data.csv` asynchronously and logs the parsed population data to the browser console. No visual representation of the data is rendered—only the message and console output are shown.

Ppin84

73% match

Loading thumbnail…

Hello VizHub

This example demonstrates text manipulation and sorting of survey responses using D3 v5 and ES6 modules. It imports D3’s `select` function to set the text of a `#message` div, while also processing a hardcoded string of job descriptions into a cleaned, alphabetically sorted array. The code applies a custom `filterTypos` function to normalize typos and variants, then logs the original and cleaned lists to the console. The page uses CSS for styling and a simple DOM update to display the greeting.

Eemmaoudmaijer

72% match

Loading thumbnail…

Hello VizHub!

This example displays a minimal D3.js setup that loads a small CSV dataset containing names, races, genders, and occupations. It initializes an SVG canvas and reads the data file using the `csv` function. The code logs the parsed data to the console but does not yet render any visual elements. The visualization relies on D3 v5, with the HTML page wired to load the `bundle.js` script and a separate stylesheet for presentation.

CChristopher Repka

72% match

Loading thumbnail…

Hello VizHub

This example demonstrates a minimal D3.js workflow in VizHub, loading a small CSV dataset that maps student names to exam grades. It uses `d3.csv` to fetch the data and logs the parsed array to the browser console within a `render` function, while the page itself remains visually empty aside from an empty `#chart` container. The code styles the body with an Ubuntu font and large text, but performs no chart rendering or DOM manipulation beyond data loading.

GGlenn Henshaw

72% match

Loading thumbnail…

Hello VizHub

This example loads a CSV file of national populations and logs the parsed data to the console, demonstrating the basic data-loading workflow in VizHub. The code uses `d3.csv` to fetch `data.csv`, which contains country names and population figures, and attaches a promise callback to inspect the resulting array of objects. The page itself renders only an empty `<section>` element, while the JavaScript handles all data processing; no chart is drawn. Styling is applied via an imported Ubuntu font and a large base font size.

NNickJolly

72% match

Loading thumbnail…

Hello VizHub

This example demonstrates a minimal D3.js bar chart that loads population data from a CSV file and displays it in an SVG container. The code uses `d3.csv` to parse the data from `data.csv` and `d3.select` to access the SVG element, with dimensions retrieved via the `attr` method. It sets up a basic visualization scaffold where data is logged to the console but no bars are yet rendered, showcasing VizHub’s workflow for importing modules and styling with external CSS and Google Fonts. The example runs on D3 v5 in a standalone HTML page.

SSanjeet10

71% match

Loading thumbnail…

Hello VizHub

This example demonstrates a minimal "Hello VizHub" message displayed in the center of the page. It loads a CSV dataset from the VizHub server using `d3.csv` and logs the parsed data to the console, though the visualization itself shows only static text. The page is styled with CSS, setting a dark background, light text, and large Ubuntu font. The code uses D3.js v5 and ES6 modules to set the message text in the `#message` div.

Jjenniferslagt

69% match