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Description
VALVULAS PARA DERIVACION DE LIQUIDO CEFALORRAQUIDEO, DE RESORTE, PRESION ALTA DE 90 A 170 MM DE H20, CATETER CEFALICO O VENTRICULAR DE 15 CM MINIMO DE LONGITUD Y CATETER PERITONEAL DE 85 CM MINIMO DE LONGITUD. TAMANO: ADULTO.
IMSS product code
060.932.2607.11
Each circle represents one of the 10 purchases of VÁLVULAS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 7 | 86,808.1 MXN | - MXN | - | - | 27 de noviembre de 2009 |
| Delegación Baja California | Baja California | 1 | 5,577.5 MXN | 1,361.2 MXN | 32.3 % | 0.371 | 27 de enero de 2009 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 13,398 MXN | 1,848 MXN | 16 % | 0.48 | 5 de octubre de 2010 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 170,696.3 MXN | 23,544.3 MXN | 16 % | 5.28 | 5 de abril de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PIHCSA PARA HOSPITALES, S. A. DE C. V. | 7 | - MXN | - | - | 2009 - 2009 |
| ESCAMILLA ZENTENO AURORA | 1 | 1,848 MXN | 16 % | 0.48 | 2010 - 2010 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 1 | 1,361.2 MXN | 32.3 % | 0.371 | 2009 - 2009 |
| MEXHOSA, S. A. DE C. V. | 1 | 23,544.3 MXN | 16 % | 5.28 | 2011 - 2011 |
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=060.932.2607.11")
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=060.932.2607.11')
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=060.932.2607.11')