Chapter 11. Data Visualization

Table of Contents

Introduction
Preparing data for plotting
Data objects
Declaring column types
Automatically obtaining the data type
Data specification patterns
Series grouping
Inconsistent data
Creating plots and charts
Chart objects
Chart object methods
Chart types
Grouping charts
Additional topics
Manipulating plots
Manipulating 2D plots
Manipulating 3D plots

Introduction

AdvancedMiner contains a data visualization library. The library provides graphs and diagram presentations of data.

The chart library is capable of creating two dimensional graphs, like:

  • scatter plot

  • line plot

All 2D plots can be interactively zoomed and panned.

In addition, the following categorical charts are available:

  • bar chart

  • pie chart

  • three Dimensional (3D) bar / point / line chart

The charts may display multiple data series.

Plots can be grouped and displayed together using a common X or common Y axis.

The fundamental language for the plot library is Gython. It is used to create and show plots. Additionally, plots can be later modified using the graphical interface.