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Description
CATETERES PARA CATETERIZACION DE ARTERIAS CORONARIAS, CAROTIDEA, MAMARIA INTERNA Y VASOS RENALES, RADIOPACO, DE POLIESTER, CON PUNTA CURVA 2,5 CM TRES ORIFICIOS LONGITUD 110 CM. CALIBRE 7 FR.
IMSS product code
060.167.7198.11
Each circle represents one of the 7 purchases of CATÉTERES made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 7 | 61,744.1 MXN | 8,458.4 MXN | 15.9 % | 39.3 | 4 de marzo de 2016 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 3 | 1,304 MXN | 16 % | 4.48 | 2014 - 2014 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 2 | 4,066.4 MXN | 15.5 % | 20.8 | 2009 - 2011 |
| CARDIOPACE, S.A. DE C.V. | 1 | 1,632 MXN | 16 % | 9.6 | 2013 - 2013 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 1,456 MXN | 16 % | 4.48 | 2016 - 2016 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.167.7198.11")
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=060.167.7198.11')
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=060.167.7198.11')