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Description
Compra Emergente
IMSS product code
060.125.2877.11
Each circle represents one of the 3 purchases of BOLSAS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Michoacán | Michoacán | 2 | 4,477.3 MXN | 0.000000000000455 MXN | 0.00000000000000745 % | 0.000000000000000346 | 19 de abril de 2012 |
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 99,692.7 MXN | 13,003.4 MXN | 15 % | 9.6 | 8 de octubre de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CASTELLANOS ORTIZ RAUL | 2 | 0.000000000000455 MXN | 0.00000000000000745 % | 0.000000000000000346 | 2010 - 2012 |
| CORPORACION ARMO, S.A. DE C.V. | 1 | 13,003.4 MXN | 15 % | 9.6 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.125.2877.11")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.125.2877.11')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=060.125.2877.11')