I hereby claim:
- I am cscheid on github.
- I am cscheid (https://keybase.io/cscheid) on keybase.
- I have a public key ASCbHGh8DWbPaMRsAqX3jKu2t6uySLoIHP3RpjNWw7XvNQo
To claim this, I am signing this object:
The following syntax for options is accepted (both '-' and '--' are ok): | |
--flag (bool flags only) | |
--no-flag (bool flags only) | |
--flag=value (non-bool flags only, no spaces around '=') | |
--flag value (non-bool flags only) | |
-- (captures all remaining args in JavaScript) | |
Options: | |
--abort-on-contradictory-flags (Disallow flags or implications overriding each other.) | |
type: bool default: --no-abort-on-contradictory-flags |
I hereby claim:
To claim this, I am signing this object:
license: gpl-3.0 |
import math | |
from pylab import * | |
def fact(x): | |
return math.gamma(x+1) | |
def choose(n,k): | |
return fact(n) / (fact(k) * fact(n-k)) | |
def hypergeom_mass_at_k(N, K, n, k): |
The scatterplot matrix visualizations pairwise correlations for multi-dimensional data; each cell in the matrix is a scatterplot. This example uses Anderson's data of iris flowers on the Gaspé Peninsula. Scatterplot matrix design invented by J. A. Hartigan; see also R and GGobi. Data on Iris flowers collected by Edgar Anderson and published by Ronald Fisher.
See also this version with brushing.
A demo of TopoJSON on a U.S. counties shapefile from the census bureau using d3.geo.albersUsa. The same TopoJSON file can also be used to show counties.
# You should totally ignore this because it's the first piece of Julia I've ever written. | |
# 2-clause BSD, blah. | |
function make_cycle(n) | |
result = Dict{Int32, Array{Int32}}() | |
for i = 1:n | |
ii = i - 1 | |
push!(result, i, [1 + ((i+n-2) % n), 1 + i % n]) | |
end | |
result |
You need to get to the bit representation of the float, and then:
inline unsigned int float2fint(unsigned int f) {
return f ^ ((-(f >> 31)) | 0x80000000);
}
Callahan et al. used this trick in this paper.
Caveats:
This choropleth encodes unemployment rates from 2008 with a quantize scale ranging from 0 to 15%. A threshold scale is a useful alternative for coloring arbitrary ranges.