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Description
Para angiografía renal y visceral de nylon o politetrafluoretileno con capacidad de guía de 0.038". Longitud 65 cm. Estéril y desechable. Tipo: cobra 3. Calibre: 5 Fr
Classification
Material médico. Material de curacion
IMSS product code
060.166.3958.00
Presentation
Pieza
Each circle represents one of the 5 purchases of CATÉTERES made by the IMSS between 2010 and 2011.
| 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 | 2 | 39,453.5 MXN | 1,745.9 MXN | 8 % | 5.76 | 9 de febrero de 2011 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 2 | 7,192 MXN | 5,796.8 MXN | 392.6 % | 12.5 | 30 de noviembre de 2011 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 7,383.5 MXN | 1,018.4 MXN | 16 % | 3.36 | 5 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESCAMILLA ZENTENO AURORA | 2 | 2,764.3 MXN | 16 % | 9.12 | 2010 - 2010 |
| LEVBETH MEDICAL, S.A. DE C.V. | 2 | 5,796.8 MXN | 392.6 % | 12.5 | 2011 - 2011 |
| ABSTEN CARDIOLOGIK, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
Entity type
Material de curacion
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Choose the system where you want to use the data to see the instructions. For research methodology, see the Manual for investigating open contracting.
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=060.166.3958.00")
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=060.166.3958.00')
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=060.166.3958.00')