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Description
INFANTIL No 2 NÚMERO CATÁLOGO PROVEEDOR: 5282 MARCA: BENNETT REFACCIÓN PARA EQUIPO: RESPIRADOR Y VEN.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.614.0477.00
Each circle represents one of the 11 purchases of MASCARILLA made by the IMSS between 2009 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Oriente Almacen Delegacional En Estado De Mexico Oriente | Estado de México | 5 | 12,387.2 MXN | 2,282.7 MXN | 39 % | 17.7 | 27 de junio de 2014 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 4 | 5,823.2 MXN | 2,100.2 MXN | 30.3 % | 11.8 | 15 de agosto de 2016 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 1,594.2 MXN | - MXN | - | - | 22 de noviembre de 2010 |
| Delegación Puebla Almacen Delegacional En Puebla | Puebla | 1 | 2,952.8 MXN | 407.3 MXN | 16 % | 6.24 | 20 de noviembre de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GRUPO COMERCIAL TENDENZZIAS, S.A. DE C.V. | 2 | 1,297.5 MXN | 15.5 % | 10.2 | 2009 - 2012 |
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 1 | 12.8 MXN | 16 % | 0.32 | 2016 - 2016 |
| AZTEC MEDICA, S.A. DE C.V. | 1 | 51.2 MXN | 16 % | 0.8 | 2015 - 2015 |
| BA?UELOS FIERRO ALFREDO Y/O DISTRIBUIDORA MEDICA D | 1 | 407.3 MXN | 16 % | 6.24 | 2013 - 2013 |
| COMERCIALIZADORA INTEG. MED. HOSPIT., SA DE CV | 1 | - MXN | - | - | 2014 - 2014 |
| CONSORCIO COERP, SA DE CV | 1 | 207.4 MXN | 16 % | 1.6 | 2011 - 2011 |
| INSTRUMENTOS BIOTECNOLOGICOS DE MEXICO, SA DE CV | 1 | 777.9 MXN | 147.9 % | 5.92 | 2010 - 2010 |
| LITO MEDICAL S.A. DE C.V. | 1 | - MXN | - | - | 2014 - 2014 |
| NEW WORLD TECHNOLOGY S.A. DE C.V. | 1 | 2,036.2 MXN | 89.3 % | 10.7 | 2014 - 2014 |
| ORTO-PAC, S.A. DE C.V. | 1 | - MXN | - | - | 2010 - 2010 |
Entity type
Consumibles de equipos medicos y de laboratorio
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=379.614.0477.00")
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=379.614.0477.00')
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=379.614.0477.00')