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https://github.com/planetlabs/viewpoints
Viewpoints is a tool for visualizing high dimensionality data using linked scatter plots.
https://github.com/planetlabs/viewpoints
Last synced: 16 days ago
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Viewpoints is a tool for visualizing high dimensionality data using linked scatter plots.
- Host: GitHub
- URL: https://github.com/planetlabs/viewpoints
- Owner: planetlabs
- License: apache-2.0
- Created: 2016-09-07T21:09:45.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-05-24T18:57:51.000Z (over 6 years ago)
- Last Synced: 2024-08-01T00:46:13.466Z (3 months ago)
- Language: JavaScript
- Homepage:
- Size: 2.19 MB
- Stars: 63
- Watchers: 7
- Forks: 9
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Viewpoints
[Viewpoints](http://iopscience.iop.org/article/10.1086/657902/pdf) is an [open source desktop tool](https://github.com/creonlevit/viewpoints), developed at NASA, for visualizing high dimensionality data by [brushing linked scatter plots](http://www.jstor.org/stable/1269768?seq=1#page_scan_tab_contents). This repo is a re-implementation of Viewpoints as a web application, making heavy use of WebGL.
## Features
#### Large Data Sets
Viewpoints is designed to handle extremely large data sets such as the entire Tycho Catalog--over 1 million stars. When all stars are graphed using declination vs right ascesion, you can see the structure of the Milky Way.
#### Fast Linked Highlighting
The primary feature of Viewpoints is that highlighting points on one graph will highlight those same points on all other graphs. This allows for deep data exploration and the discovery of trends that would otherwise not be visible.
For example, if we highlight just the stars of a certain color (the bottom quartile of the bottom left graph), we find that they preferentially appear in the central disk of the galaxy and not in the periphery:
Alternatively, if we highlight just the stars with a high error in their right ascension measurement (right side of the bottom right graph), we tease out the precessing circles that characterize the observation pattern of the telescopes that created the catalog.
Linked highlighting is designed to work extremely quickly--introducing < 100 ms of latency on most systems for most data sets.
#### Thumbnail Previews
If your dataset contains columns which are links to thumbnails, Viewpoints will automatically recognize them and show you thumbnails in place of a scatter plot. To trigger this behavior, set the X axis of one of the scatter plots to the thumbnail column you want to view. This is especially helpful for data sets relating to deep CNN's.
#### Pan and Zoom
To Pan: click and drag while holding `⌘` (Windows use `windows key`)
To Zoom, click and drag while holding `alt` (Windows use `ctrl`).
# To Use:
Try it out [live!](https://planetlabs.github.io/viewpoints/?csv=https://raw.githubusercontent.com/MattFerraro/csv/master/inline_skating.csv)
When the page loads you'll see a button to upload a csv file. There are several interesting data sets curated [on github](https://github.com/MattFerraro/csv) and many more [from data.gov](https://catalog.data.gov/dataset?res_format=CSV)
_Note: The data you use **never leaves your computer**. All processing happens on your local machine._
# To Compile and Run:
The tool is written using the [React](https://facebook.github.io/react/) framework. It is compiled using [Node](https://nodejs.org/en/) and [npm](https://docs.npmjs.com/getting-started/installing-node), which you must have pre-installed.
```
git clone https://github.com/planetlabs/viewpoints.git
cd viewpoints
npm install
export NODE_ENV=production # optional, but makes it run faster by not doing React's Proptype checks
npm start
```
Then open up a browser to
```
localhost:8080
```