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Description
CATETER FEMORAL VISCERAL ASA II (0.038"), CON UN ORIFICIO, ESTERIL. TIPO: COBRA. LONGITUD 80 CM. CALIBRE 7 FR.
IMSS product code
060.167.4617.11
Each circle represents one of the 12 purchases of INTRODUCTORES made by the IMSS between 2009 and 2017.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ESCAMILLA ZENTENO AURORA | 5 | 9,554.7 MXN | 12.5 % | 37.5 | 2009 - 2010 |
| CARDIO-NEF, S.A. DE C.V. | 2 | 1,227.4 MXN | 5.19 % | 2.81 | 2009 - 2009 |
| ASESORIA EN PRODUCTOS MEDICOS, S.A. DE C.V. | 1 | 302.8 MXN | 59.5 % | 1.19 | 2010 - 2010 |
| GRUPO EMEQUR, S.A. DE C.V. | 1 | 5,301.1 MXN | 55.1 % | 12.1 | 2009 - 2009 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 365.8 MXN | 16 % | 0.16 | 2017 - 2017 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
| PROVEEDORA RM, S. A. DE C. V. | 1 | 9,112.1 MXN | 16 % | 25.4 | 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=060.167.4617.11")
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=060.167.4617.11')
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=060.167.4617.11')