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Description
GUIAS METALICA RIGIDA CON PUNTA SUAVE, DIAMETRO 0.038", LONGITUD 145 CM CON CUBIERTA HIDROFILICA. TIPO: BENTSON.
IMSS product code
060.463.0699.11
Each circle represents one of the 12 purchases of GUÍAS made by the IMSS between 2008 and 2017.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ENDOMEDICA,S. A. DE C. V. | 4 | 9,267.9 MXN | 11.4 % | 20.2 | 2008 - 2012 |
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 2 | 8,672.7 MXN | 17.2 % | 8.18 | 2015 - 2017 |
| PROMAD EMPRESARIAL SA DE CV | 2 | 30,717.2 MXN | 480.8 % | 33.7 | 2011 - 2011 |
| SUMINISTROS FEGA, S.A. DE C.V. | 2 | 65.5 MXN | 1.34 % | 0.155 | 2009 - 2010 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 7,520.5 MXN | 15.9 % | 5.1 | 2017 - 2017 |
| PROVEEDOR HOSPITALARIO Y DE SALUD, S.A. DE C.V. | 1 | 649.6 MXN | 16 % | 1.12 | 2013 - 2013 |
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=060.463.0699.11")
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=060.463.0699.11')
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=060.463.0699.11')