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Description
CATETERES PARA ANGIOGRAFIA TORACO-ABDOMINAL, DE ALTO FLUJO Y PARED DELGADA. TIPO: AORTIFLUSH LONGITUD 110 CM. CALIBRE 6 FR.
IMSS product code
060.167.7727.12
Each circle represents one of the 4 purchases of CATÉTERES made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 1 | 1,116.4 MXN | - MXN | - | - | 31 de octubre de 2014 |
| Delegación Tamaulipas Almacen Delegacional En Tamaulipas | Tamaulipas | 1 | 3,201.6 MXN | 2,083.7 MXN | 186.4 % | 3.73 | 7 de julio de 2010 |
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 1 | 7,038 MXN | 918 MXN | 15 % | 0.6 | 27 de enero de 2009 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 75,898.8 MXN | 8,826.7 MXN | 13.2 % | 15.8 | 5 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ENDOMEDICA,S. A. DE C. V. | 1 | 8,826.7 MXN | 13.2 % | 15.8 | 2010 - 2010 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 918 MXN | 15 % | 0.6 | 2009 - 2009 |
| MEDICAMEX, S. A. DE C. V. | 1 | 2,083.7 MXN | 186.4 % | 3.73 | 2010 - 2010 |
| SERVICIOS E INSUMOS INSTITUCIONALES DEL NOROESTE D | 1 | - MXN | - | - | 2014 - 2014 |
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=060.167.7727.12")
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=060.167.7727.12')
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=060.167.7727.12')