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Description
CATETER CORONARIA IZQUIERDACURVA I, CAL 7 FR Y DE LONG100 CM TIPO AMPLATZ.
IMSS product code
060.167.7107.10
Each circle represents one of the 13 purchases of CATÉTERES made by the IMSS between 2009 and 2015.
| 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 | 11 | 29,019.4 MXN | 3,946.5 MXN | 18.4 % | 18.5 | 14 de septiembre de 2015 |
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 253 MXN | 57.3 MXN | 29.3 % | 0.293 | 13 de febrero de 2009 |
| Oficinas Centrales Ofnas Centrales -reforma- Coordinacion De Abastecimiento | 1 | 18,020.3 MXN | 2,485.6 MXN | 16 % | 12.3 | 19 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 7 | 2,334.8 MXN | 16.7 % | 11.1 | 2009 - 2015 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 2 | 1,287.7 MXN | 23.8 % | 5.76 | 2014 - 2015 |
| CARDIOPACE, S.A. DE C.V. | 1 | 27.2 MXN | 16 % | 0.16 | 2013 - 2013 |
| CONTENIDO CIENTIFICO, S. A. DE C. V. | 1 | 57.3 MXN | 29.3 % | 0.293 | 2009 - 2009 |
| ESCAMILLA ZENTENO AURORA | 1 | 296.8 MXN | 21.7 % | 1.52 | 2009 - 2009 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 2,485.6 MXN | 16 % | 12.3 | 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=060.167.7107.10")
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=060.167.7107.10')
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=060.167.7107.10')