| # ERROR | |
| 2014-05-19 23:57:10,980 - parsing http://www.lachambre.be/kvvcr/showpage.cfm?section=/flwb&language=fr&rightmenu=right&cfm=/site/wwwcfm/flwb/flwbn.cfm?lang=F&legislat=53&dossierID=3573 --- a document 3573 | |
| 2014-05-19 23:57:12,065 - LXML parsing http://www.lachambre.be/kvvcr/showpage.cfm?section=/flwb&language=fr&rightmenu=right&cfm=/site/wwwcfm/flwb/flwbn.cfm?lang=F&legislat=53&dossierID=3573 --- a document 3573 | |
| 2014-05-19 23:57:12,068 - LXML parsing http://www.lachambre.be/kvvcr/showpage.cfm?section=/flwb&language=nl&rightmenu=right&cfm=/site/wwwcfm/flwb/flwbn.cfm?lang=F&legislat=53&dossierID=3573 --- a document 3573 nl | |
| 2014-05-19 23:57:12,995 - lachambre_deputy.find (0.00) {'lachambre_id': '01201'} | |
| Traceback (most recent call last): | |
| File "/home/mhermans/tmp/dierentheater/lachambre_parser/documents.py", line 68, in parse_every_documents | |
| handle_document(document) | |
| File "/home/mhermans/tmp/dierentheater/lachambre_parser/documents.py", line 121, in handle_document |
| # Berkeken groepsgemiddelden in R | |
| data(iris) | |
| summary(iris) | |
| str(iris) | |
| typeof(iris$Petal.Length) | |
| typeof(iris$Species) | |
| class(iris$Petal.Length) | |
| class(iris$Species) |
| library(XLConnect) | |
| # schrijffunctie | |
| # -------------- | |
| writeTable <- function(table, excel_fn) { | |
| wbFilename <- excel_fn | |
| wb = loadWorkbook(wbFilename, create = TRUE) | |
| sheet <- 'tables' | |
| createSheet(wb, sheet) |
| #include <toneAC.h> | |
| #define c 261.626 // 261 Hz | |
| #define d 293.665 // 294 Hz | |
| #define e 329.628 // 329 Hz | |
| #define f 349.228 // 349 Hz | |
| #define g 391.995 // 392 Hz | |
| #define a 440.000 // 440 Hz |
The following is a unstructed dump of links, projects, software, discussion groups, that I mentioned yesterday and/or interesting for power mapping & data journalism in general.
The number of excamation marks indicate relevance.
Add swap (walkthrough):
sudo fallocate -l 4G /swapfile
sudo chmod 600 /swapfile
sudo mkswap /swapfile
sudo swapon /swapfile
sudo swapon -s
start up docker:
| from boxsdk import Client, OAuth2 # https://github.com/box/box-python-sdk | |
| from boxsdk.exception import BoxAPIException | |
| from pyzotero import zotero # https://github.com/urschrei/pyzotero | |
| import os.path | |
| """ | |
| This script scans a Box input-folder and a Zotero group-library, and matches the ebook PDF's | |
| in the Box-folder with the metadata in the Zotero-library. | |
| Matches are based on the SHA1 file checksum, which Box calculates and tracks automatically |
| Beste | |
| Via dit email adres was u in het verleden geregisteerd voor de Sociodata-berichtendienst van de Vereniging voor Sociologie. | |
| Deze dienst is recent terug opgestart. U kan zich _hier registreren_ indien u deze berichten graag opnieuw wenst te ontvangen. | |
| Is dit niet langer het geval, of u bent onder een ander email adres geregistreerd, dan kan u deze email negeren. We sturen dan nog een herinnering, en schrappen vervolgens dit email adres van de Sociodata-mailinglijst. | |
| mvg, |
From a reddit-comment:
stupid question on "semanticweb". How do I actucally get data? It says library of congress is on 'link-web-data' now. If I want to get a book name by ISBN (using LOCs 'linked data') how would I do that?
Is there a website for the standardize format of link-data? Are there APIs available?
Also how do I cross correlate link-data? Say Amazon also had a link data set (or other "publisher"). How do I correlate ISBN numbers between Amazon, LOCs, the patent office, etc... to verify the integrity of such data. Lots of stuff on goggle is inaccurate, but that is "ok" because people are verifying it. But with an application, you need a way to insure the data is correct and what you are actucally looking for.
| library(strat) | |
| isco <- c(1200, 3131, 9110) | |
| isei <- recode(isco, informat="isco88", outformat="isei") | |
| esec <- recode(isco, informat="isco88", outformat="esec") | |
| table(isei, esec) | |
| esec | |
| isei 1 4 6 | |
| 29 0 1 0 | |
| 48 0 0 1 | |
| 68 1 0 0 |