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Description
INJERTOS DE POLITETRAFLUORETILENO. TUBULARES, RECTOS, DE PARED DELGADA. 8 MM X 80 CM.
IMSS product code
060.506.1829.11
Each circle represents one of the 31 purchases of INJERTOS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BERNIE MEDICAL, S. A. DE C. V. | 6 | 2,851.2 MXN | 2.67 % | 0.32 | 2010 - 2011 |
| CARDIOPACE, S.A. DE C.V. | 5 | 18,214.6 MXN | 25.5 % | 1.94 | 2015 - 2018 |
| MEDICAMEX, S. A. DE C. V. | 3 | 36,671 MXN | 107.9 % | 3.24 | 2010 - 2014 |
| DISTRIBUCIONES GENERALES MEDICAS, S. A. DE C. V. | 2 | 218,115.1 MXN | 16.6 % | 21.9 | 2015 - 2015 |
| IMPULSORA MEDICA, S. A. DE C. V. | 2 | 15,143.8 MXN | 52.8 % | 2.11 | 2009 - 2010 |
| MEDIGROUP DEL PACIFICO, S.A. DE C.V. | 2 | - MXN | - | - | 2009 - 2009 |
| RYSE MEDICA, S.A. DE C.V. | 2 | 124,449.5 MXN | 54 % | 14.3 | 2013 - 2015 |
| VITASANITAS S.A. DE C.V. | 2 | 42,116.6 MXN | 21.6 % | 17.1 | 2011 - 2012 |
| CORPORACION ARMO, S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| DURFA, S. A. DE C. V. | 1 | - MXN | - | - | 2015 - 2015 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 1 | - MXN | - | - | 2014 - 2014 |
| IQ MEDICAL, S. DE R.L. DE C.V. | 1 | 35,650.2 MXN | 25.9 % | 3.11 | 2016 - 2016 |
| JTC PROVEEDOR MEDICO, S. A. DE C. V. | 1 | - MXN | - | - | 2016 - 2016 |
| PRODUCTOS BARD DE MEXICO, S.A. DE C.V. | 1 | 4,355.2 MXN | 3.86 % | 0.463 | 2018 - 2018 |
| SIMBIOSIS MEDICAL, SA DE CV | 1 | - MXN | - | - | 2013 - 2013 |
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=060.506.1829.11")
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=060.506.1829.11')
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=060.506.1829.11')