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Description
CATETER VISCERAL FEMORAL DE0.038", CON UN ORIFICIO, ES-TERIL CAL 6 FR Y DE LONG 65CM MODELO COBRA AI.
IMSS product code
060.167.7149.01
Each circle represents one of the 6 purchases of CATÉTERES made by the IMSS between 2009 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 2 | 37,189.6 MXN | 5,129.6 MXN | 15.9 % | 3.04 | 8 de abril de 2016 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 14,927 MXN | 1,947 MXN | 15 % | 3.3 | 3 de abril de 2009 |
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 1 | 118,370.1 MXN | 16,326.9 MXN | 16 % | 38.4 | 1 de enero de 2017 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 4,454.4 MXN | 614.4 MXN | 16 % | 0.16 | 29 de noviembre de 2013 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 57,159.2 MXN | 7,884 MXN | 16 % | 14.7 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LEVBETH MEDICAL, S.A. DE C.V. | 3 | 5,744 MXN | 15.9 % | 3.2 | 2013 - 2016 |
| EV TERAPEUTICA, S..A DE C.V. | 1 | 16,326.9 MXN | 16 % | 38.4 | 2017 - 2017 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 1,947 MXN | 15 % | 3.3 | 2009 - 2009 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 7,884 MXN | 16 % | 14.7 | 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=060.167.7149.01")
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=060.167.7149.01')
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=060.167.7149.01')