This tutorial covers advanced features of the Manipulate command. It assumes that you have read "Introduction to Manipulate" and thus have a good idea what the command is for ...
BubbleChart[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] makes a bubble chart with bubbles at positions {x_i, y_i} with sizes z_i.BubbleChart[{..., w_i[{x_i, y_i, z_i}, ...], ...
Graph
(Built-in Mathematica Symbol) Graph[{e_1, e_2, ...}] yields a graph with edges e_j.Graph[{v 1, v 2, ...}, {e_1, e_2, ...}] yields the graph with vertices v_i and edges e_j. Graph[{..., w_i[v_i, ...], ...
RectangleChart3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] makes a 3D rectangle chart with bars of width x_i, depth y_i and height z_i. RectangleChart3D[{..., w_i[{x_i, y_i, ...
RectangleChart[{{x_1, y_1}, {x_2, y_2}, ...}] makes a rectangle chart with bars of width x_i and height y_i. RectangleChart[{..., w_i[{x_i, y_i}, ...], ..., w_j[{x_i, y_j}, ...
The functions accessible with Wolfram LibraryLink make it possible to optimize numerical computations while still keeping the flexibility and generality of Mathematica. If ...
SectorChart3D[{{x_1, y_1, z_1}, {x_2, y_2, z_2}, ...}] makes a 3D sector chart with sector angle proportional to x_i, radius y_i, and height z_i.SectorChart3D[{..., w_i[{x_i, ...
Mathematica has over 3000 built-in functions and other objects, all based on a single unified framework, and all carefully designed to work together, both in simple ...
KagiChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a Kagi chart with prices p_i at date date_i.KagiChart[{" name", daterange}] makes a Kagi chart of closing prices for the ...
LineBreakChart[{{date_1, p_1}, {date_2, p_2}, ...}] makes a line break chart with prices p_i at date date_i.LineBreakChart[{" name", daterange}] makes a line break chart of ...