Interactive Plots with Gadfly, Interact, and IJulia



In [6]:

    
using RDatasets
ggdat = RDatasets.datasets("ggplot2") # convenient way to list datasets for a package









    Out[6]:




Package Dataset Title Rows Columns
1 ggplot2 diamonds Prices of 50,000 round cut diamonds 53940 10
2 ggplot2 economics US economic time series. 478 6
3 ggplot2 midwest Midwest demographics. 437 28
4 ggplot2 movies Movie information and user ratings from IMDB.com. 58788 24
5 ggplot2 mpg Fuel economy data from 1999 and 2008 for 38 popular models of car 234 11
6 ggplot2 msleep An updated and expanded version of the mammals sleep dataset. 83 11
7 ggplot2 presidential Terms of 10 presidents from Eisenhower to Bush W. 10 4
8 ggplot2 seals Vector field of seal movements. 1155 4

Note that we can extract the dataset names as a DataArray



In [7]:

    
ggdat[:Dataset]









    Out[7]:





8-element DataArray{UTF8String,1}:
 "diamonds"    
 "economics"   
 "midwest"     
 "movies"      
 "mpg"         
 "msleep"      
 "presidential"
 "seals"

using Interact

Interact.jl provides "shiny-like" HTML widgets that gives us the ability to do "indirect manipulation" inside an IPython notebook. Interact.jl is built on top of Reactive.jl -- a general framework for reactive programming.



In [8]:

    
using Interact
@manipulate for dataName = ggdat[:Dataset] # Interact's widget defaults are based on variable types
    dat =  dataset("ggplot2", dataName)
end









    











    Out[8]:




Carat Cut Color Clarity Depth Table Price X Y Z
1 0.23 Ideal E SI2 61.5 55.0 326 3.95 3.98 2.43
2 0.21 Premium E SI1 59.8 61.0 326 3.89 3.84 2.31
3 0.23 Good E VS1 56.9 65.0 327 4.05 4.07 2.31
4 0.29 Premium I VS2 62.4 58.0 334 4.2 4.23 2.63
5 0.31 Good J SI2 63.3 58.0 335 4.34 4.35 2.75
6 0.24 Very Good J VVS2 62.8 57.0 336 3.94 3.96 2.48
7 0.24 Very Good I VVS1 62.3 57.0 336 3.95 3.98 2.47
8 0.26 Very Good H SI1 61.9 55.0 337 4.07 4.11 2.53
9 0.22 Fair E VS2 65.1 61.0 337 3.87 3.78 2.49
10 0.23 Very Good H VS1 59.4 61.0 338 4.0 4.05 2.39
11 0.3 Good J SI1 64.0 55.0 339 4.25 4.28 2.73
12 0.23 Ideal J VS1 62.8 56.0 340 3.93 3.9 2.46
13 0.22 Premium F SI1 60.4 61.0 342 3.88 3.84 2.33
14 0.31 Ideal J SI2 62.2 54.0 344 4.35 4.37 2.71
15 0.2 Premium E SI2 60.2 62.0 345 3.79 3.75 2.27
16 0.32 Premium E I1 60.9 58.0 345 4.38 4.42 2.68
17 0.3 Ideal I SI2 62.0 54.0 348 4.31 4.34 2.68
18 0.3 Good J SI1 63.4 54.0 351 4.23 4.29 2.7
19 0.3 Good J SI1 63.8 56.0 351 4.23 4.26 2.71
20 0.3 Very Good J SI1 62.7 59.0 351 4.21 4.27 2.66
21 0.3 Good I SI2 63.3 56.0 351 4.26 4.3 2.71
22 0.23 Very Good E VS2 63.8 55.0 352 3.85 3.92 2.48
23 0.23 Very Good H VS1 61.0 57.0 353 3.94 3.96 2.41
24 0.31 Very Good J SI1 59.4 62.0 353 4.39 4.43 2.62
25 0.31 Very Good J SI1 58.1 62.0 353 4.44 4.47 2.59
26 0.23 Very Good G VVS2 60.4 58.0 354 3.97 4.01 2.41
27 0.24 Premium I VS1 62.5 57.0 355 3.97 3.94 2.47
28 0.3 Very Good J VS2 62.2 57.0 357 4.28 4.3 2.67
29 0.23 Very Good D VS2 60.5 61.0 357 3.96 3.97 2.4
30 0.23 Very Good F VS1 60.9 57.0 357 3.96 3.99 2.42
&vellip &vellip &vellip &vellip &vellip &vellip &vellip &vellip &vellip &vellip &vellip

Gadfly



In [11]:

    
using Gadfly
diamonds = dataset("ggplot2", "diamonds");
set_default_plot_size(16cm, 12cm);



In [12]:

    
@manipulate for xn = 10:100, yn = 10:100
    plot(diamonds, x = "Carat", y = "Price", Geom.hexbin(xbincount = xn, ybincount = yn))
end









    











    











    



plot not defined
while loading In[12], in expression starting on line 1

 in anonymous at no file:2



In [ ]:

	Package	Dataset	Title	Rows	Columns
1	ggplot2	diamonds	Prices of 50,000 round cut diamonds	53940	10
2	ggplot2	economics	US economic time series.	478	6
3	ggplot2	midwest	Midwest demographics.	437	28
4	ggplot2	movies	Movie information and user ratings from IMDB.com.	58788	24
5	ggplot2	mpg	Fuel economy data from 1999 and 2008 for 38 popular models of car	234	11
6	ggplot2	msleep	An updated and expanded version of the mammals sleep dataset.	83	11
7	ggplot2	presidential	Terms of 10 presidents from Eisenhower to Bush W.	10	4
8	ggplot2	seals	Vector field of seal movements.	1155	4

	Carat	Cut	Color	Clarity	Depth	Table	Price	X	Y	Z
1	0.23	Ideal	E	SI2	61.5	55.0	326	3.95	3.98	2.43
2	0.21	Premium	E	SI1	59.8	61.0	326	3.89	3.84	2.31
3	0.23	Good	E	VS1	56.9	65.0	327	4.05	4.07	2.31
4	0.29	Premium	I	VS2	62.4	58.0	334	4.2	4.23	2.63
5	0.31	Good	J	SI2	63.3	58.0	335	4.34	4.35	2.75
6	0.24	Very Good	J	VVS2	62.8	57.0	336	3.94	3.96	2.48
7	0.24	Very Good	I	VVS1	62.3	57.0	336	3.95	3.98	2.47
8	0.26	Very Good	H	SI1	61.9	55.0	337	4.07	4.11	2.53
9	0.22	Fair	E	VS2	65.1	61.0	337	3.87	3.78	2.49
10	0.23	Very Good	H	VS1	59.4	61.0	338	4.0	4.05	2.39
11	0.3	Good	J	SI1	64.0	55.0	339	4.25	4.28	2.73
12	0.23	Ideal	J	VS1	62.8	56.0	340	3.93	3.9	2.46
13	0.22	Premium	F	SI1	60.4	61.0	342	3.88	3.84	2.33
14	0.31	Ideal	J	SI2	62.2	54.0	344	4.35	4.37	2.71
15	0.2	Premium	E	SI2	60.2	62.0	345	3.79	3.75	2.27
16	0.32	Premium	E	I1	60.9	58.0	345	4.38	4.42	2.68
17	0.3	Ideal	I	SI2	62.0	54.0	348	4.31	4.34	2.68
18	0.3	Good	J	SI1	63.4	54.0	351	4.23	4.29	2.7
19	0.3	Good	J	SI1	63.8	56.0	351	4.23	4.26	2.71
20	0.3	Very Good	J	SI1	62.7	59.0	351	4.21	4.27	2.66
21	0.3	Good	I	SI2	63.3	56.0	351	4.26	4.3	2.71
22	0.23	Very Good	E	VS2	63.8	55.0	352	3.85	3.92	2.48
23	0.23	Very Good	H	VS1	61.0	57.0	353	3.94	3.96	2.41
24	0.31	Very Good	J	SI1	59.4	62.0	353	4.39	4.43	2.62
25	0.31	Very Good	J	SI1	58.1	62.0	353	4.44	4.47	2.59
26	0.23	Very Good	G	VVS2	60.4	58.0	354	3.97	4.01	2.41
27	0.24	Premium	I	VS1	62.5	57.0	355	3.97	3.94	2.47
28	0.3	Very Good	J	VS2	62.2	57.0	357	4.28	4.3	2.67
29	0.23	Very Good	D	VS2	60.5	61.0	357	3.96	3.97	2.4
30	0.23	Very Good	F	VS1	60.9	57.0	357	3.96	3.99	2.42
&vellip	&vellip	&vellip	&vellip	&vellip	&vellip	&vellip	&vellip	&vellip	&vellip	&vellip