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Description
IMPLANTES. DE MATERIAL SUAVE NO ABSORBIBLE. ESPONJA TIPO: LINCOFF. CILINDRO 3 MM X 5 CM.
IMSS product code
060.506.0144.11
Each circle represents one of the 14 purchases of IMPLANTES made by the IMSS between 2008 and 2016.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| HUMANA DE EQUIPO Y MATERIALES, S.A. DE C.V. | 8 | 25,195.9 MXN | 15.2 % | 35.3 | 2008 - 2010 |
| COMERCIAL VIA MEDICA, S.A. DE C.V. | 2 | 748.2 MXN | 16 % | 0.64 | 2015 - 2015 |
| ESCAMILLA ZENTENO AURORA | 2 | 3,132 MXN | 16 % | 2.88 | 2011 - 2012 |
| RODRIGUEZ SANTIAGO LAURA | 1 | 617.3 MXN | 16 % | 0.48 | 2016 - 2016 |
| VILLANUEVA PONCE MIGUEL ANGEL | 1 | 823 MXN | 16 % | 0.64 | 2016 - 2016 |
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=060.506.0144.11")
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=060.506.0144.11')
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=060.506.0144.11')