Datarich demo repo https://github.com/datahubio/datarich-demo Datarich demo guide https://dev.datahub.io/@olayway/datarich-demo

Welcome to Datahub Cloud!

In this tutorial, you will learn how to transform your Github repository into a visually appealing and interactive site, and deploy it within seconds with Datahub Cloud!

Here's a refined version of your step-by-step guide:

Quick Start Guide

At the end of this tutorial, you will have transformed your Github repository/Github dataset(??) into a visually appealing and interactive site, deployed within seconds with Datahub Cloud!

Here's a glimpse into what your repository could look like in just a few minutes (and why you should try this out):

• Example Repository 1: [Link]
• Example Repository 2: [Link]

Feeling inspired by the examples? Fantastic! Let us guide you through the straightforward process to create your own stunning website!

1. Start out from our template:

   • Navigate to our template repository…
   • Look for the "Fork" button up top. Give it a gentle click ;)
   • Choose your own GitHub account as the spot to fork the repository.
   • Sit back, relax, and let GitHub work its magic! Once the fork is done, you'll find yourself in your very own version of the template repo.
   • Here's what it will look like:
   • Outcome Image
   • Now that you've got your own copy, it's time to roll up your sleeves and publish it with Datahub Cloud. Let's turn that raw data into a beautiful site that's uniquely yours!

2. Sign up:

   • Head over to DataHub.io and sign up.
   • Note: Await your invitation if you're on the waitlist. Patience is key! 😉

3. Publish your dataset:

   • Follow the steps to create a new site on DataHub.
   • Choose the GitHub repository you just created.
   • This was quite quick, wasn't it?

4. Initial Result:

   • Standard Page Image
   • Initially, your project page might look plain, but let's spice things up.

5. Enhancing your dataset:

   • Return to your GitHub repository.
   • Let's throw in a table to kick things off, shall we? Trust me, it'll make a world of difference in how your data shines.
   • (Image)
   • Isn't it much better now? Now, let's dive in and find even more ways to really make your data stand out!
   • Let's add a second data file to enrich your dataset. More data, more insights!

6. Taking your dataset to the next level:

   • Now, let's add some visuals. Incorporate elements like graphs to make your data come alive. This step transforms your dataset from static numbers to engaging stories.

Note: Throughout this process, we've streamlined the steps to focus on dataset publication. However, the leap to crafting a data story from your dataset is minor and highly encouraged for those looking to add narrative depth to their data.

Creating Your Own Dataset:

• If you're feeling adventurous and want to create your dataset from scratch on GitHub, here's how:
  • Log in to your GitHub account.
  • Navigate to your profile and click on the "Repositories" tab.
  • Look for the green "New" button and give it a click.
  • Fill in the repository name, description, and other details as desired.
  • Choose whether to make the repository public or private.
  • Make sure to add a README file (this will be your homepage)
  • Click on the "Create repository" button, and voila! You've just set up your new repository.
• Now that you have a fresh canvas to work with, you can start populating it with your data and follow the same steps mentioned earlier to publish it with Datahub Cloud. The sky's the limit for what you can create!
  • To populate your repository with data, you can:
    • Manual Entry: Input data directly into the repository by creating new files or editing existing ones using the GitHub web interface.
    • Upload Files: Upload existing datasets or files from your local machine to the repository using the GitHub web interface.
    • Git Commands: Use Git commands to push data from your local machine to the repository. This method requires familiarity with Git and command-line usage.
• With your fresh repository, you're ready to publish it using Datahub Cloud. Update your README using Markdown to provide comprehensive insights into your dataset, ensuring it shines on our platform. Let your data tell its story!

How do I create ?

A DataHub project is simply a GitHub repo with a README and, potentially, data files. That's right: you can take advantage of everything that GitHub offers in terms of revisioning, changes history and so on and transform your repo into a data rich document.

Imagine how cool it would be to store your reports, datasets and analysis in this format. Now, let's learn how to actually do it.

Why do I want this product to succeed?

I need to create value. I do not feel that I deliver value.

Someone who is a stand for the product and the marketing and sales. I could be all of that.

Tell us what you want to do with this product. We will stick with Github.

Was I so damn passionate? No.

If I bring that presence, my word is my word. We will succeed. The energy. That makes the difference.

Who I am is my word. Who I am is that i want this.

Better insight and understanding of this world. For people to share information and democratize information. Help people make sense.

Wonderwoman of datahub cloud. I want to make this difference. I would be the person. We need a CEO. Standing for the product. It needs caring.