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Carlos Scheidegger cscheid

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  • I am cscheid on github.
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@cscheid
cscheid / .block
Last active Jun 16, 2016 — forked from mbostock/.block
Cluster Dendrogram, not flipped
View .block
license: gpl-3.0
@cscheid
cscheid / prob.py
Last active Aug 29, 2015
probabilities, how do they work
View prob.py
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):
View README.md

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.

View README.md
@cscheid
cscheid / main.jl
Created Sep 10, 2014
bare-bones stress majorization in julia
View main.jl
# 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
@cscheid
cscheid / main.md
Created Sep 10, 2014
A monotonic transformation from IEEE 754 floats to unsigned ints
View main.md

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:

View README.md

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.

View nb.ipynb
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View osm.R
setwd("~/Downloads")
obs <- XML2Obs("out.xml", url.map=TRUE)
unique(names(obs)) #you might want to re_name or add_key before collapsing
tmp = add_key(obs, parent="url1//osm//way", key.name="way_id")
tmp = add_key(tmp, parent="url1//osm//node", key.name="node_id")
tmp = add_key(tmp, parent="url1//osm//relation", key.name="relation_id")
tables <- collapse(obs) # holy crap this takes a long-ass time
write.table(tables$`url1//osm//way//nd`, "ways.csv", sep=",")
write.table(tables$`url1//osm//way//tag`, "way_tags.csv", sep=",")
write.table(tables$`url1//osm//node`, "nodes.csv", sep=",")
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