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Description
PINZA SATINSKY, DE DOBLE ANGULACION, ATRAUMATICA, LONGITUD DE 245 A 250 MM.
IMSS product code
537.703.4532.01
Each circle represents one of the 17 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. | 9 | 12,459.3 MXN | 22.5 % | 7.82 | 2011 - 2018 |
| DEWIMED, S. A. | 2 | 10,883.8 MXN | 85.8 % | 3.43 | 2012 - 2015 |
| MAINEQ DE MEXICO, S.A. DE C.V. | 2 | 1,029.6 MXN | 15 % | 0.6 | 2009 - 2009 |
| CORPORATIVO NEOMEDICA, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| MARBELLA ZETINA LAGUNES | 1 | - MXN | - | - | 2016 - 2016 |
| MED-MACH S.A. DE C.V | 1 | 49,953.3 MXN | 313.2 % | 21.9 | 2010 - 2010 |
| MU?OZ CALDERON CLAUDIA GABRIELA | 1 | - MXN | - | - | 2010 - 2010 |
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=537.703.4532.01")
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=537.703.4532.01')
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=537.703.4532.01')