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Description
GRAPAS ANEURISMA, TAMANO MINI, DE MATERIAL NO MAGNETICO, TEMPORAL, CURVA.TIPO: YASARGIL. LONGITUD DE QUIJADA. 7 MM APERTURA. 4.0 MM FUERZA EN GRAMOS. 70.
IMSS product code
060.446.0451.02
Each circle represents one of the 10 purchases of GRAPAS made by the IMSS between 2008 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 7 | 141,276.1 MXN | 15,235.4 MXN | 14.5 % | 3.33 | 11 de mayo de 2017 |
| H. de Especialidades No. 1 Centro Médico Nacional del Bajio, León, Gto. Umae Especialidades Guanajuato | Guanajuato | 2 | 8,740 MXN | 5,149.7 MXN | 143.4 % | 2.87 | 25 de febrero de 2009 |
| Delegación Jalisco Almacen Delegacional En Jalisco | Jalisco | 1 | 1,899.7 MXN | 104.6 MXN | 5.83 % | 0.0583 | 1 de enero de 2009 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DURFA, S. A. DE C. V. | 4 | 10,225.9 MXN | 16 % | 1.28 | 2010 - 2016 |
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 2 | 2,928.5 MXN | 5.83 % | 1.63 | 2008 - 2009 |
| FABRIZIO APONTE EDUARDO | 2 | 5,149.7 MXN | 143.4 % | 2.87 | 2009 - 2009 |
| COMERCIALIZADORA DE PRODUCTOS Y MATERIAS PRIMAS CA | 1 | 1,815.7 MXN | 16 % | 0.32 | 2017 - 2017 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 1 | 369.9 MXN | 16 % | 0.16 | 2010 - 2010 |
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=060.446.0451.02")
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=060.446.0451.02')
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=060.446.0451.02')