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Description
Compra Emergente
IMSS product code
060.717.0040.11
Each circle represents one of the 15 purchases of PINZAS made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Morelos Almacen Delegacional En Morelos | Morelos | 3 | 4,343 MXN | 599 MXN | 16 % | 1.28 | 28 de octubre de 2011 |
| Delegación Chiapas Almacen Subdelegacional En Tapachula, Chiapas | Chiapas | 1 | 44,074.9 MXN | 4,735.9 MXN | 12 % | 14.4 | 4 de diciembre de 2009 |
| Delegación Chihuahua | Chihuahua | 1 | 9,435 MXN | 9,071.1 MXN | 2,492.8 % | 27.7 | 4 de enero de 2010 |
| Delegación Coahuila | Coahuila | 1 | 862.5 MXN | 0.000000000000114 MXN | 0.0000000000000132 % | 0.00000000000000152 | 23 de junio de 2009 |
| Delegación Guerrero Almacen Delegacional En Guerrero | Guerrero | 1 | 5,220 MXN | 720 MXN | 16 % | 0.96 | 29 de junio de 2016 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 4,407.5 MXN | 473.6 MXN | 12 % | 1.44 | 1 de enero de 2010 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 83,742.3 MXN | 8,998.3 MXN | 12 % | 27.4 | 1 de enero de 2010 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 5,876.6 MXN | 631.5 MXN | 12 % | 1.93 | 1 de enero de 2010 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 60,970.3 MXN | 6,551.4 MXN | 12 % | 20 | 1 de enero de 2010 |
| Delegación Tlaxcala Almacen Delegacional En Tlaxcala | Tlaxcala | 1 | 12,487.9 MXN | 1,341.8 MXN | 12 % | 4.09 | 1 de enero de 2010 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 3,672.9 MXN | 394.7 MXN | 12 % | 1.2 | 1 de enero de 2010 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 1 | 52,889.9 MXN | 5,683.1 MXN | 12 % | 17.3 | 1 de enero de 2010 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 1 | 1,566 MXN | 216 MXN | 16 % | 0.16 | 8 de diciembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS Y ACCESORIOS AUTOMATIZADOS, S.A. DE C | 8 | 28,810.2 MXN | 12 % | 87.9 | 2009 - 2010 |
| PROVEEDORA MEX. DE ARTS. DE CUR. Y LAB, SA CV | 2 | 374.4 MXN | 16 % | 0.8 | 2011 - 2011 |
| CESAR PATRICIO ALVA MARTINEZ | 1 | 9,071.1 MXN | 2,492.8 % | 27.7 | 2010 - 2010 |
| CUIDADOS INTEGRALES DEL PACIENTE RENAL, S. C. | 1 | 224.6 MXN | 16 % | 0.48 | 2011 - 2011 |
| DULCE PRISILIA CONTRERAS VAZQUEZ | 1 | 0.000000000000114 MXN | 0.0000000000000132 % | 0.00000000000000152 | 2009 - 2009 |
| ENDOSOLUCIONES MEDICAS S.A. DE C.V | 1 | 720 MXN | 16 % | 0.96 | 2016 - 2016 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 1 | 216 MXN | 16 % | 0.16 | 2012 - 2012 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.717.0040.11")
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=060.717.0040.11')
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=060.717.0040.11')