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Description
PINZA COCODRILO, RECTA, QUIJADAS ASERRADAS. LONGITUD DE TRABAJO 230 MM.
IMSS product code
537.702.2859.01
Each circle represents one of the 10 purchases of PINZAS made by the IMSS between 2009 and 2018.
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 4 | 28,914.2 MXN | 86.1 % | 7.67 | 2011 - 2018 |
| DEWIMED, S. A. | 2 | 5,946.2 MXN | 54.2 % | 1.08 | 2011 - 2013 |
| HIDRO HOSPITAL, S.A. DE C.V. | 2 | 10,596.5 MXN | 15.5 % | 3.5 | 2009 - 2010 |
| IMPORTADORA MEDICA MEXICANA, S. A. | 1 | - MXN | - | - | 2012 - 2012 |
| SUGETOSA, S.A. DE C.V. | 1 | - MXN | - | - | 2011 - 2011 |
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=537.702.2859.01")
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=537.702.2859.01')
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=537.702.2859.01')