https://github.com/alfredjkwack/pockyt-analysis

Provides visual analysis of JSON data out of Pockyt
https://github.com/alfredjkwack/pockyt-analysis

Last synced: 7 days ago
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Provides visual analysis of JSON data out of Pockyt

• Host: GitHub
• URL: https://github.com/alfredjkwack/pockyt-analysis
• Owner: AlfredJKwack
• License: mit
• Created: 2024-11-16T08:19:38.000Z (2 months ago)
• Default Branch: main
• Last Pushed: 2024-11-17T14:21:58.000Z (2 months ago)
• Last Synced: 2025-01-17T06:03:50.813Z (9 days ago)
• Language: HTML
• Size: 130 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
======

pockyt analysis

======

This is a simple visual analysis of a Pocket dataset.

Links

-----

* `GitHub repository `

* `D3.js `

* `alfredjkwack/pockyt `

About

-----

`Pocket `_ is an application for managing a reading list of articles from the Internet.

**pockyt-analysis** provides a simple analysis of the pocket data using the D3.js JavaScript library for bespoke

 data visualization . It relies on a fork of **pockyt** (a commandline client that interfaces the pocket API) to obtain the data as a json file.

Installation

------------

Since this project is dependent on **alfredjkwack/pockyt** we will assume you have already installed it.

1. Clone this repository: :code:`git clone https://github.com/alfredjkwack/pockyt-analysis.git`

2. Generate a json file of your pocket data: :code:`pockyt -json -o pocket-data.json`

3. Launch a local web server and connect to it with a browser: :code:`python -m SimpleHTTPServer`

TODO

------------

* [x] Tag usage frequency graph

* [x] Tag cloud

* [ ] Tag usage frequency graph over time

* [ ] Tag pair heat map (what goes together and what does not)

* [-] Filter entries by 1 or more tags

* [ ] Clean data set to remove Null entries (not sure what those are)

* [ ] Highlight entries with no tags somehow

* [ ] Refactor code to be more modular