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import pandas as pd | |
import numpy as np | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
%matplotlib inline | |
from urllib.request import urlopen | |
from bs4 import BeautifulSoup4 | |
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{ | |
"license": "https://creativecommons.org/licenses/by/4.0/", | |
"packages": [ | |
"https://www.contrataciones.gov.py/datos/doc/planning/203326-adquisicion-numeradoras-tipograficas.json", | |
"https://www.contrataciones.gov.py/datos/doc/tender/203326-adquisicion-numeradoras-tipograficas.json", | |
"https://www.contrataciones.gov.py/datos/doc/award/203326-adquisicion-numeradoras-tipograficas.json", | |
"https://www.contrataciones.gov.py/datos/doc/contract/203326-molman-s-a-1.json" | |
], | |
"publicationPolicy": "", | |
"publishedDate": "2015-12-10T09:06:36-0300", |
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Standard fields used: paul-hamlyn-foundation-grants.csv | |
*Amount Awarded* | |
Beneficiary Location:Name | |
*Currency* | |
*Funding Org:Identifier* | |
*Funding Org:Name* | |
*Identifier* | |
Planned Dates:Duration (months) | |
*Recipient Org:Identifier* | |
*Recipient Org:Name* |
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Resource Projects Data Model | |
Requirements | |
ResourceProjects.org needs to be able to accommodate data coming from a wide variety of different sources, and to use this to: | |
Identify projects; | |
Link as much information as possible to those projects; | |
Key challenges to be addressed include: |
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<caprenter> year Date | |
<caprenter> latitude Location | |
<caprenter> commodity What is being extracted | |
<caprenter> country Location | |
<caprenter> longitude Location | |
<caprenter> no_sk / license number? Identifier | |
<caprenter> units What is being extracted | |
<caprenter> nama_perusahaan / company name Identifier | |
<caprenter> mm | |
<caprenter> maininvest |
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[] => 1787 | |
[0001] => 30354 | |
[1905] => 7 | |
[1981] => 1 | |
[1983] => 5 | |
[1985] => 2 | |
[1986] => 5 | |
[1988] => 2 | |
[1989] => 1 | |
[1990] => 4 |