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Description
PLACAS ANGULADAS A 130 GRADOS CON ORIFICIOS DE COMPRESION DINAMICA, PARA TORNILLOS DE 4.5 Y 6.5 MM DE DIAMETRO. ADEMAS, COMPRENDE ORIFICIOS Y DIMENSIONES INTERMEDIAS ENTRE LAS ESPECIFICADAS. NUMERO DE
Classification
Material médico. Material de curacion
IMSS product code
060.725.0446.12
Each circle represents one of the 4 purchases of SISTEMA DE PLACAS made by the IMSS between 2010 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa | Sinaloa | 3 | 5,899.6 MXN | - MXN | - | - | 27 de enero de 2011 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 3,326.9 MXN | 1,730.7 MXN | 108.4 % | 1.08 | 24 de marzo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA MEDICA ESPECIALIZADA DE SINALOA, S.A. | 2 | - MXN | - | - | 2010 - 2010 |
| HEMOST, S. A. DE C. V. | 1 | - MXN | - | - | 2011 - 2011 |
| MAYOREO MEDICO DEL NOROESTE, S.A. DE C.V. | 1 | 1,730.7 MXN | 108.4 % | 1.08 | 2010 - 2010 |
Entity type
Material de curacion
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=060.725.0446.12")
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=060.725.0446.12')
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=060.725.0446.12')