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brandontlocke / misd-viz.csv
Created August 18, 2015 19:18
slavno owner year name nation gender age value
1 Almeida 1767 Diogo Mandinga M 30 110000
2 Almeida 1767 Rita Cafuz F 25 110000
3 Almeida 1767 ManoelBeyam Guine M 35 115000
5 Almeida 1767 Francisco Beafada M 40 110000
6 Almeida 1767 Jozefa Crioul F 18 110000
7 Almeida 1767 Vicente Papel M 30 50000
8 Almeida 1767 Anna Guine F 18 100000
9 Almeida 1767 Bendito Crioul M 35 115000
10 Almeida 1767 Antonio Negro M 35 115000
@brandontlocke
brandontlocke / misd-viz-1800-1802.csv
Last active August 29, 2015 14:27
The first three years of the misd-viz.csv dataset
slavno owner year name nation gender age value
1 Almeida 1767 Diogo Mandinga M 30 110000
2 Almeida 1767 Rita Cafuz F 25 110000
3 Almeida 1767 ManoelBeyam Guine M 35 115000
5 Almeida 1767 Francisco Beafada M 40 110000
6 Almeida 1767 Jozefa Crioul F 18 110000
7 Almeida 1767 Vicente Papel M 30 50000
8 Almeida 1767 Anna Guine F 18 100000
9 Almeida 1767 Bendito Crioul M 35 115000
10 Almeida 1767 Antonio Negro M 35 115000
@brandontlocke
brandontlocke / MISD-viz-3yrs.csv
Created August 25, 2015 03:09
module 2 - misd
slavno owner year name nation gender age value
1 Almeida 1767 Diogo Mandinga M 30 110000
2 Almeida 1767 Rita Cafuz F 25 110000
3 Almeida 1767 ManoelBeyam Guine M 35 115000
5 Almeida 1767 Francisco Beafada M 40 110000
6 Almeida 1767 Jozefa Crioul F 18 110000
7 Almeida 1767 Vicente Papel M 30 50000
8 Almeida 1767 Anna Guine F 18 100000
9 Almeida 1767 Bendito Crioul M 35 115000
10 Almeida 1767 Antonio Negro M 35 115000
@brandontlocke
brandontlocke / MISD-viz-3yrs.csv
Last active September 6, 2015 21:05
1 Almeida 1767 Diogo Mandinga M 30 110000
2 Almeida 1767 Rita Cafuz F 25 110000
3 Almeida 1767 ManoelBeyam Guine M 35 115000
5 Almeida 1767 Francisco Beafada M 40 110000
6 Almeida 1767 Jozefa Crioul F 18 110000
7 Almeida 1767 Vicente Papel M 30 50000
8 Almeida 1767 Anna Guine F 18 100000
9 Almeida 1767 Bendito Crioul M 35 115000
10 Almeida 1767 Antonio Negro M 35 115000
@brandontlocke
brandontlocke / MISD-viz-3yrs.csv
Last active September 6, 2015 21:08
1 Almeida 1767 Diogo Mandinga M 30 110000
2 Almeida 1767 Rita Cafuz F 25 110000
3 Almeida 1767 ManoelBeyam Guine M 35 115000
5 Almeida 1767 Francisco Beafada M 40 110000
6 Almeida 1767 Jozefa Crioul F 18 110000
7 Almeida 1767 Vicente Papel M 30 50000
8 Almeida 1767 Anna Guine F 18 100000
9 Almeida 1767 Bendito Crioul M 35 115000
10 Almeida 1767 Antonio Negro M 35 115000
@brandontlocke
brandontlocke / MISD-viz-3yrs.csv
Last active September 14, 2015 04:45
1 Almeida 1767 Diogo Mandinga M 30 110000
2 Almeida 1767 Rita Cafuz F 25 110000
3 Almeida 1767 ManoelBeyam Guine M 35 115000
5 Almeida 1767 Francisco Beafada M 40 110000
6 Almeida 1767 Jozefa Crioul F 18 110000
7 Almeida 1767 Vicente Papel M 30 50000
8 Almeida 1767 Anna Guine F 18 100000
9 Almeida 1767 Bendito Crioul M 35 115000
10 Almeida 1767 Antonio Negro M 35 115000
@brandontlocke
brandontlocke / index.html
Last active October 4, 2015 00:14
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>Scatterplot</title>
<script type="text/javascript" src="http://d3js.org/d3.v3.js"></script>
<style type="text/css">
body {
background-color: white;
@brandontlocke
brandontlocke / MISD-viz-3yrs.csv
Created October 4, 2015 00:21
1 Almeida 1767 Diogo Mandinga M 30 110000
2 Almeida 1767 Rita Cafuz F 25 110000
3 Almeida 1767 ManoelBeyam Guine M 35 115000
5 Almeida 1767 Francisco Beafada M 40 110000
6 Almeida 1767 Jozefa Crioul F 18 110000
7 Almeida 1767 Vicente Papel M 30 50000
8 Almeida 1767 Anna Guine F 18 100000
9 Almeida 1767 Bendito Crioul M 35 115000
10 Almeida 1767 Antonio Negro M 35 115000
@brandontlocke
brandontlocke / guns.csv
Last active October 4, 2015 20:03
year deaths
2001 11348
2002 11829
2003 11920
2004 11624
2005 12352
2006 12791
2007 12632
2008 12179
2009 11493
@brandontlocke
brandontlocke / splitting.py
Last active June 5, 2019 15:29
Create text files from csv
import csv
f = open('filename.csv', 'rU')
csv_f = csv.reader(f)
for row in csv_f:
#this creates the file and names it the contents of the first column
file = open(row[0]+".txt", "w")
#this writes the content from the second column
file.write(row[1])