datapackage

title

description

licenses

resources

Welcome to your template dataset page!

This is a template for publishing your dataset with Datahub Cloud. Click on "Read more" to go to a quick overview of the template.

path	title
http://opendatacommons.org/licenses/pddl/	Open Data Commons Public Domain Dedication and License v1.0

path

title

name

format

schema

data.csv

C02 PPM per decade

c02-per-decade

csv

fields

name	type
year	date

name	type
co2	number

Welcome to the body of your dataset site. Everything above this section is part of the Data package front matter.

Overview

Here is a quick overview of the template structure:

![[Overview.png]]

Structured data

  graph TD;
      Data-Package-Frontmatter-->Dataset-title
      Data-Package-Frontmatter-->Data-package-metadata
      Data-Package-Frontmatter-->Short-description;
      Data-Package-Frontmatter-->Data-files-list;
      Data-Package-Frontmatter-->Data-Previews;

Feel free to customize the data package frontmatter accordingly when publishing your own data.

Unstructured data

You can add as many markdown files to your GitHub repository as you like, and you can freely nest them in subdirectories. You can also enhance your content with other data visualisation components and markdown features.

Note: For a full list of supported markdown features visit https://flowershow.app/docs/syntax

Here are some quick examples:

[!info] This is cool! Here's a callout block. It supports markdown and [[Internal link|wikilinks]].

Or you can quickly embed a piece of code as follows:

const ExampleCode = () => {
  return <div> .... </div>;
};

Or simply pass an inline code like this: print("hello world!")

If your dataset is part of a larger dataset collection, you may want to start by listing the related datasets here in a catalog-like component with search and facets like this one:

This makes it easy to navigate and quickly find or filter down the data you're looking for. You can add as many facets as you'd like.

==Excel==

If you're working a lot with Excel files, you can embed a preview of your file such as this one:

Simply upload your Excel file to your Github repository and replace the URL with the relative path of the uploaded file.

Note: This component allows you to present all tabs in your Excel file. You can sort the rows by clicking on the Column name and you can also filter each column by clicking on the triple bar symbol next to the Column name.

Data-rich components

You can use a number of data preview and data visualization components in order to make your dataset more insightful.

Map

In case you're dealing with geo data, you can visualize your data on a GeoJSON polygons and points map with auto zoom in the points layer:

Data Table

Let's start by adding a table of your data like the one below:

Data visualization

Now let's add line chart:

There are also other types of charts and graphs you can use to enhance your dataset. You can create charts with Plotly, see how it renders:

[!info] This is a Plotly Bar Chart:

[!info] This is a Plotly Line Chart:

[!info] You can also integrate VegaLite charts:

For a full list and API of available data visualisation components visit https://storybook.portaljs.org

Mikanebu / test-datahub-cloud