Template Instructions

Welcome,

This is the Code Institute student template for the Data Analytics capstone project. We have preinstalled all of the tools you need to get started. It's perfectly okay to use this template as the basis for your project submissions. Click the Use this template button above to get started.

You can safely delete the Template Instructions section of this README.md file and modify the remaining paragraphs for your own project. Please do read the Template Instructions at least once, though! It contains some important information about the IDE and the extensions we use.

How to use this repo

1. Use this template to create your GitHub project repo

2. Log into your cloud IDE with your GitHub account.

3. On your Dashboard, click on the New Workspace button

4. Paste in the URL you copied from GitHub earlier

5. Click Create

6. Wait for the workspace to open. This can take a few minutes.

7. Open a new terminal and pip3 install -r requirements.txt

8. Open the jupyter_notebooks directory, and click on the notebook you want to open.

9. Click the kernel button and choose Python Environments.

Note that the kernel says Python 3.12.2 as it inherits from the workspace, so it will be Python-3.12.2 as installed by our template. To confirm this, you can use ! python --version in a notebook code cell.

Cloud IDE Reminders

To log into the Heroku toolbelt CLI:

1. Log in to your Heroku account and go to Account Settings in the menu under your avatar.
2. Scroll down to the API Key and click Reveal
3. Copy the key
4. In the terminal, run heroku_config
5. Paste in your API key when asked

You can now use the heroku CLI program - try running heroku apps to confirm it works. This API key is unique and private to you so do not share it. If you accidentally make it public then you can create a new one with Regenerate API Key.

• Set the runtime.txt Python version to a Heroku-22 stack currently supported version.
• The project was deployed to Heroku using the following steps.

1. Log in to Heroku and create an App
2. At the Deploy tab, select GitHub as the deployment method.
3. Select your repository name and click Search. Once it is found, click Connect.
4. Select the branch you want to deploy, then click Deploy Branch.
5. The deployment process should happen smoothly if all deployment files are fully functional. Click now the button Open App on the top of the page to access your App.
6. If the slug size is too large then add large files not required for the app to the .slugignore file.