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Description
GRAPAS PARA ANEURISMA, TAMANO ESTANDAR DE MATERIAL NO MAGNETICO, PERMANENTE, EN BAYONETA. TIPO: YASARGIL. LONGITUD DE QUIJADA. 7 MM APERTURA. 7.9 M, FUERZA EN GRAMOS. 200.
IMSS product code
060.446.1053.02
Each circle represents one of the 59 purchases of GRAPAS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| B. BRAUN AESCULAP DE MEXICO, S.A. DE C.V. | 18 | 15,183 MXN | 4.23 % | 6.12 | 2009 - 2018 |
| DEWIMED, S. A. | 12 | 59,871.6 MXN | 9.73 % | 22.1 | 2011 - 2018 |
| DURFA, S. A. DE C. V. | 10 | 123,037.7 MXN | 98.8 % | 35.4 | 2009 - 2018 |
| AARSON PRODUCTOS HOSPITALARIOS, S.A. DE C.V. | 9 | 24,834.5 MXN | 71.4 % | 7.88 | 2010 - 2015 |
| SOPORTE MEDICO INTEGRAL, S.A. DE C.V. | 2 | - MXN | - | - | 2010 - 2010 |
| AVANT MEDICAL, S.A. DE C.V. | 1 | 26,745.4 MXN | 77.7 % | 6.22 | 2015 - 2015 |
| BIOTECNOLOGIA Y SERVICIOS, S.A. DE C.V. | 1 | 1,249.3 MXN | 2.12 % | 0.423 | 2013 - 2013 |
| COMERCIALIZADORA DE PRODUCTOS Y MATERIAS PRIMAS CA | 1 | 48,819.8 MXN | 94.3 % | 11.3 | 2017 - 2017 |
| EXORTA, S. DE R.L DE C.V. | 1 | 2,658.2 MXN | 61.8 % | 0.618 | 2015 - 2015 |
| GONZALEZ ECHAVEZ ARIEL | 1 | 34,779.4 MXN | 52.8 % | 6.34 | 2016 - 2016 |
| INSTRUMENTOS MEDICOS INTERNACIONALES, S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| IVAN QUIRURGICO SA DE CV | 1 | 67,493.3 MXN | 82.5 % | 14.9 | 2014 - 2014 |
| NEURO INSTRUMENTS, S. DE R.L. DE C.V. | 1 | 2,892.2 MXN | 92.2 % | 0.922 | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.446.1053.02")
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=060.446.1053.02')
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=060.446.1053.02')