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diegovalle / index.html
Last active August 29, 2015 13:56
Animated choropleth of homicide rates in Mexico 1997-2013
<!doctype HTML>
<meta charset = 'utf-8'>
<html>
<head>
<script src='http://d3js.org/d3.v3.min.js' type='text/javascript'></script>
<script src='http://d3js.org/topojson.v1.min.js' type='text/javascript'></script>
<script src='http://datamaps.github.io/scripts/datamaps.all.min.js' type='text/javascript'></script>
<script src='http://cdnjs.cloudflare.com/ajax/libs/handlebars.js/1.0.0/handlebars.min.js' type='text/javascript'></script>
<script src='http://cdnjs.cloudflare.com/ajax/libs/angular.js/1.2.1/angular.min.js' type='text/javascript'></script>
@diegovalle
diegovalle / README.md
Last active January 24, 2019 20:46
Projected Topojson of Mexican Municipalities

Projected topojson example of a choropleth of Mexican municipalities and states with tooltips and each municipality colored by the number of people who live there

First download the shapefiles of Mexico (AGEBs, Manzanas, Municipios, Estados, etc) 1.4GB from

http://www.diegovalle.net/projects.html#url=%23datasets

Then convert the files 'shps/national/national_municipal.shp' and 'shps/national/national_estatal.shp' to topojson with

@diegovalle
diegovalle / key.asc
Last active February 16, 2021 15:52
PGP PUBLIC KEY - Diego Valle-Jones
-----BEGIN PGP PUBLIC KEY BLOCK-----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Keybase proof

I hereby claim:

  • I am diegovalle on github.
  • I am diegovalle (https://keybase.io/diegovalle) on keybase.
  • I have a public key whose fingerprint is 76B3 74CF AFB9 E863 1313 83A8 55BD 9EC4 CD81 C252

To claim this, I am signing this object:

@diegovalle
diegovalle / religion.R
Created May 8, 2014 23:02
Education and Religion in Mexico
library(reshape)
library(ggplot2)
library(scales)
library(stringr)
hom <- read.table(text="Total,Católica,Ortodoxos,Anabautista - Menonita,Anglicana,Bautista,Iglesia del Nazareno,Luterana,Metodista,Presbiteriana,Otras protestantes,Pentecostales,Cristianas y Evangélicas sin sustento actual pentecostal,Adventistas del Séptimo Día,Iglesia de Jesucristo de los Santos de los Últimos Días (Mormones),Testigos de Jehová,Budismo,Hinduismo,Otras Orientales,Judaica,Islámica,Raíces étnicas,Espiritualistas,Otras religiones,Sin religión,No especificado
84927468,71279088,4327,7020,2908,189744,30246,2100,20464,316260,40465,1297314,4409550,492755,245641,1228239,12673,1653,1880,53880,3226,19090,29910,12343,4008693,1217999
7855312,6692152,1902,51,1010,16587,1819,972,4486,14824,8847,35932,393181,25961,36803,52871,5810,783,691,15712,1461,1662,4100,2480,454844,80371
", sep = ",", row.names=NULL, header=TRUE,
@diegovalle
diegovalle / estudios.R
Last active August 29, 2015 14:01
Número promedio de hijos nacidos vivos por grado de estudios
require(ggplot2)
require(reshape)
require(stringr)
hom <- read.table(text="Sin escolaridad Educación básica Educación media superior Educación superior Estudios técnicos o comerciales con preparatoria terminada Normal de licenciatura Profesional Maestría Doctorado
4.3590760723 3.271073644 2.2923336285 1.8956866673 2.1159363265 1.9962284703 1.8477515858 1.655703986 1.5113780919
", sep = "\t", row.names = NULL, header=TRUE,
colClasses = "numeric")
names(hom)[1] <- "Sin.escolaridad"
@diegovalle
diegovalle / conyugal.R
Last active August 29, 2015 14:01
Población femenina de 40 a 44 años de edad por situación conyugal
require(ggplot2)
require(reshape)
require(stringr)
require(scales)
hom <- read.table(text="Sin escolaridad Educación básica Educación media superior Educación superior Estudios técnicos o comerciales con preparatoria terminada Normal de licenciatura Profesional Maestría Doctorado
0.1333900264 0.0866986092 0.1203814875 0.1677704297 0.1350452061 0.1673361018 0.1723742877 0.2003161063 0.2381625442
0.4782996145 0.6043175271 0.6266342786 0.6165165611 0.6309864938 0.6017564164 0.6192202588 0.5912486197 0.5414840989
0.2509738821 0.1739237235 0.1075405894 0.076660514 0.0937652362 0.0858057049 0.0711621725 0.0664256176 0.0792932862
0.0728234689 0.082743796 0.0742778733 0.0565067911 0.067043598 0.0648512492 0.0533251335 0.0454456882 0.0493286219
@diegovalle
diegovalle / largefam.R
Last active August 29, 2015 14:01
Población femenina de 40 a 44 años de edad con 4 o más hijos nacidos vivos y que habla una lengua indígena
require(ggplot2)
require(reshape)
require(stringr)
require(scales)
library(directlabels)
hom <- read.table(text="2010 2000 state
0.589481859 0.7044360966 Total
0.4050632911 0.4418604651 Aguascalientes
0.5746496039 0.6178509532 Baja California
Verifying that +diegovalle is my Bitcoin username. You can send me #bitcoin here: https://onename.io/diegovalle
@diegovalle
diegovalle / gist:8c8ce89af5efec8d14f6
Last active August 29, 2015 14:07
rank crime cuadrantes
--cuadrantes
with crimes as
(select sum(count) as count,sector,cuadrante,max(population)as population, crime from cuadrantes where date >= '2013-08-01' and date <= '2014-07-01' group by cuadrante, sector, crime)
SELECT * from (SELECT count,crime,sector,cuadrante,rank() over (partition by crime order by count desc) as rank,population from crimes group by count,crime,sector,cuadrante,population) as temp2 where rank <= (SELECT rank from (SELECT count,cuadrante,rank() over (partition by crime order by count desc) as rank, row_number() OVER (ORDER BY count desc) AS rownum from crimes) as rank10 where rownum = 10) order by crime, rank,sector, cuadrante
--sectores
with crimes as
(select (sum(count) / (sum(population) /12 )* 100000) as rate,sum(count) as count,sector,sum(population)/12 as population, crime from cuadrantes where date >= '2013-08-01' and date <= '2014-07-01' group by sector, crime)
SELECT * from (SELECT count,rate,crime,sector,rank() over (partition by crime order by rate desc) as rank,population f