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Description
VALVULAS PARA DERIVACION DE LIQUIDO CEFALORRAQUIDEO, PRESION UNIVERSAL, CATETER CEFALICO O VENTRICULAR DE 15 CM MINIMO DE LONGITUD Y CATETER PERITONEAL DE 91 CM MINIMO DE LONGITUD.
IMSS product code
060.932.5097.11
Each circle represents one of the 4 purchases of VÁLVULAS made by the IMSS between 2012 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 2 | 28,061.6 MXN | 1,997.8 MXN | 8 % | 0.16 | 13 de mayo de 2014 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 29,999.9 MXN | 11,216.4 MXN | 59.7 % | 0.597 | 2 de agosto de 2013 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 1 | 31,005.8 MXN | 4,276.7 MXN | 16 % | 0.48 | 17 de diciembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 2 | 1,997.8 MXN | 8 % | 0.16 | 2013 - 2014 |
| FOREFRONT MEDICA MEXICO, S. A. DE C. V. | 1 | 11,216.4 MXN | 59.7 % | 0.597 | 2013 - 2013 |
| NORTECHMEDICAL S.A. DE C.V. | 1 | 4,276.7 MXN | 16 % | 0.48 | 2012 - 2012 |
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=060.932.5097.11")
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=060.932.5097.11')
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=060.932.5097.11')