zava¶
zava
rocks!
Massive and high-dimensional numerical (or continuous) data may visualized using parallel coordinates. For a technical discussion of parallel coordinates see [Weg90]. In parallel coordinates, axes are drawn parallel to one another (as opposed to drawn orthogonal to one another). A vector (or row) of data, \((x_1, x_2, \ldots, x_n)\), is plotted by drawing \(x_1\) on axis 1
, \(x_2\) on axis 2
, and so on through \(x_n\) on axis n
. The plotted points are joined by a broken line. The use of parallel coordinates to visualize massive and high-dimensional data is often a first step in exploratory data analysis EDA
where one may wish to visually identify patterns, clusters, or outliers. Towards the purpose of EDA, a generalized rotation of the coordinate axes in high-dimensional space, referred to as the Grand Tour
[EJW02], may be used in combination with hue and saturation brushing techniques [EJW96].
Indices and tables¶
About¶
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Copyright¶
Documentation¶
Software¶
Copyright 2020 One-Off Coder
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
Art¶
Copyright 2020 Daytchia Vang
Citation¶
@misc{oneoffcoder_zava_2020,
title={zava, Parallel Coordinates with Grand Tour},
url={https://github.com/oneoffcoder/zava},
author={Jee Vang},
year={2020},
month={Dec}}
Author¶
Jee Vang, Ph.D.