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Description
PLACAS RECTAS ANGOSTAS CON ORIFICIOS DE COMPRESION DINAMICA PARA TORNILLOS DE 4.5 MM Y 6.5 MM DE DIAMETRO. NUMERO DE ORIFICIOS: 10.
Classification
Material médico. Material de curacion
IMSS product code
060.725.3085.11
Each circle represents one of the 8 purchases of SISTEMA DE PLACAS made by the IMSS between 2010 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa | Sinaloa | 4 | 6,298.9 MXN | 184.5 MXN | 1.85 % | 0.258 | 18 de enero de 2011 |
| Delegación Jalisco | Jalisco | 2 | 3,085.6 MXN | 2,218.5 MXN | 255.9 % | 5.94 | 2 de marzo de 2012 |
| Delegación Coahuila | Coahuila | 1 | 986 MXN | 155.7 MXN | 18.8 % | 0.218 | 15 de diciembre de 2010 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 10,788 MXN | - MXN | - | - | 9 de julio de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA MEDICA ESPECIALIZADA DE SINALOA, S.A. | 3 | - MXN | - | - | 2010 - 2011 |
| BIO IMPLANTES DE OCCIDENTE S.A. DE C.V. | 2 | 2,218.5 MXN | 255.9 % | 5.94 | 2012 - 2012 |
| HEMOST, S. A. DE C. V. | 1 | 184.5 MXN | 7.41 % | 0.258 | 2010 - 2010 |
| NEGRETE SAAVEDRA MYRIAM | 1 | 155.7 MXN | 18.8 % | 0.218 | 2010 - 2010 |
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 1 | - MXN | - | - | 2012 - 2012 |
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=060.725.3085.11")
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=060.725.3085.11')
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=060.725.3085.11')