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Description
INJERTOS. INJERTOS BIFURCADOS. DE POLIESTER O DACRON RECUBIERTO DE COLAGENO, ALBUMINA O GELATINA CON ANTIBACTERIANO. LONGITUD TOTAL 50 CM. DIAMETRO AORTICO 18.0 MM. DIAMETRO FEMORAL O ILIACO 9.0 MM.
IMSS product code
060.506.3585.01
Each circle represents one of the 32 purchases of INJERTOS made by the IMSS between 2010 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDICAMEX, S. A. DE C. V. | 25 | 484,423 MXN | 13.6 % | 39.5 | 2010 - 2018 |
| IQ MEDICAL, S. DE R.L. DE C.V. | 2 | 17,278.2 MXN | 63.2 % | 1.26 | 2016 - 2016 |
| ASESORIA EN PRODUCTOS MEDICOS, S.A. DE C.V. | 1 | 5,725.4 MXN | 28.9 % | 0.578 | 2010 - 2010 |
| GAMA COMERCIAL, S. DE R. L. DE C. V. | 1 | - MXN | - | - | 2013 - 2013 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 1 | 5,936.6 MXN | 43.4 % | 0.434 | 2016 - 2016 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 36,347.2 MXN | 201.5 % | 2.02 | 2018 - 2018 |
| MANTENIMIENTO PREVENTIVO Y CORRECTIVO SA DE CV | 1 | 18,268.5 MXN | 133.7 % | 1.34 | 2016 - 2016 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.506.3585.01")
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=060.506.3585.01')
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=060.506.3585.01')