#GOOBA CHARTS HOW TO#
#GOOBA CHARTS FULL#
#GOOBA CHARTS CODE#
#GOOBA CHARTS LICENSE#

Cube provides the Developer Playground, a convenient web-based tool that helps explore the data, at localhost:4000. Now, let's review the data in the MoMA dataset. Second, let's create a new folder for your Cube app and navigate to it: It's recommended to run Cube with Docker or use a managed instance in Cube Cloud. First, please make sure you have Docker installed on your machine. Let's spin up an API for the MoMA dataset.

You can configure Cube to connect to any database, describe your data with a declarative data schema, and instantly get an API that you can use in your app. It serves as an API for building data apps. Cube comes particularly handy for this purpose.Ĭube is a popular open-source product with more than 11,000 stars on GitHub to date. We're building a dashboard, so it would be very convenient to access the data from the front end via an API. Proceed to Floor 3, Cubism 🎫 What is Cube? I've imported this dataset to a publicly available Postgres instance that we'll use in a few minutes to explore the data.

#GOOBA CHARTS LICENSE#

This dataset is placed in the public domain using a CC0 License (so we're free to use it in this tutorial) and available in CSV and JSON formats. It includes basic metadata for each work (e.g., title, artist, date made, medium, dimensions, and date of acquisition). On GitHub, MoMA publishes and periodically updates a public dataset which contains ~140,000 records, representing all of the works that have been accessioned into MoMA’s collection and cataloged in our database. MoMA's collection includes almost 200,000 works of architecture and design, drawing, painting, sculpture, photography, prints, illustrated books, film, and electronic media.

It was established 91 years ago, on November 7, 1929, and it's often identified as one of the largest and most influential museums of modern art in the world. The Museum of Modern Art is an art museum in New York, USA. Vega charts that provide a way to render charts defined with Vega and Vega-Lite visual grammars in Google Charts.Įnjoying the sight so far? Please proceed to Floor 2, Modern Arts 🎫 What is MoMA?.Diff charts that combine a couple of scatter charts, pie charts, or bar charts into an image that visualizes the difference between two similar datasets.Gantt charts that you might have wished to never encounter because of their affinity to 'enterprise software'.Calendar charts that you must have seen numerous times at GitHub profiles.Which charts are available? Among the usual suspects like line charts, bar charts, or pie charts you can find a few distinctive ones:

In this tutorial, we'll be using a public dataset, so it's not a big deal. Also, make sure to always check the Data Policy sections in the docs. If you deal with sensitive data, please check the Google APIs Terms of Service. For some charts, data has to be uploaded to Google servers for the chart to be rendered.And it's actually really tiny - less than 20 KB (gzipped). The size of the JavaScript library is fixed and doesn't depend on the features used.If it renders once, it will render anytime.

#GOOBA CHARTS CODE#

Rendering code is browser- and platform-independent which provides increased compatibility and portability.Instead, for some of the charts, they pass the data to Google servers, render a chart there, and then display the result on the page. However, unlike other data visualization tools, Google Charts don't render all the charts on the client side. Why is it a charting service, not a charting library? Indeed, Google Charts provide a JavaScript library that takes the data and renders charts on the web page. Google Charts is a charting service by Google that provides a rich selection of data visualization types, renders charts using HTML5 and SVG, provides cross-browser compatibility and cross-platform portability (meaning that charts look nice both on desktop and mobile). Please check your ticket and proceed to Floor 1, Charting Gallery 🎫 What is Google Charts?

#GOOBA CHARTS FULL#

Want to try it? Here's the live demo you can use right away. Also, the full source code is available on GitHub. Here's how the end result will look like: In the end, we'll have a dashboard with charts that tell all about MoMA's contemporary artworks. We'll also use Cube, an open-source API for building data apps, to provide access to the public dataset with The Museum of Modern Art collection data.

#GOOBA CHARTS HOW TO#

In this tutorial, we'll learn how to visualize data with Google Charts, a free charting service and JavaScript library by Google.

Gooba charts