https://github.com/clarelgibson/dash

Data Analysis Starts Here. This repository contains the source for the DASH vault, a set of notes relating to data analysis best practice and techniques.
https://github.com/clarelgibson/dash

obsidian

Last synced: 5 days ago
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Data Analysis Starts Here. This repository contains the source for the DASH vault, a set of notes relating to data analysis best practice and techniques.

• Host: GitHub
• URL: https://github.com/clarelgibson/dash
• Owner: clarelgibson
• License: cc0-1.0
• Created: 2024-07-22T19:36:31.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2024-09-05T12:40:20.000Z (4 months ago)
• Last Synced: 2024-10-31T05:05:23.568Z (about 2 months ago)
• Topics: obsidian
• Homepage:
• Size: 369 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# DASH

This repository contains the source for the DASH vault, a set of notes relating to data analysis best practice and techniques. The vault was created in and is best viewed in [Obsidian](https://obsidian.md).

## Contribute

To contribute to DASH:

1. Fork the [DASH](https://github.com/clarelgibson/dash) repository.

2. In the Obsidian vault switcher, select **Open folder as vault**.

3. Select the `/dash-vault/` subfolder. Don't open the root folder as a vault, as this may lead to links being updated incorrectly.

You can contribute in several ways:

- **Fix typos and mistakes**: If you want to fix a typo or other small modifications, you can submit a pull request. For smaller edits, you can use the GitHub web interface instead of cloning the repository.

- **Add missing or outdated content**: If you want to contribute missing or outdated content, please [submit an issue](https://github.com/clarelgibson/dash/issues/new) before you start working on it.

## Roadmap

The DASH vault is under development and will grow in line with my own learning. Ultimately, the vault will contain information and resources on the following broad topics:

- Data foundations

- Asking questions

- Preparing data

- Processing data

- Analyzing data

- Sharing data

## Author

- Clare Gibson ([email protected] | https://www.datatranslator.co.uk)

## Acknowledgements

- [Google Data Analytics Professional Certificate](https://www.coursera.org/professional-certificates/google-data-analytics) on [Coursera](https://www.coursera.org)

- [Maven Analytics](https://app.mavenanalytics.io)