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Description
LARINGOSCOPIO. LARINGOSCOPIO PARA OBSERVACION DE LA LARINGE E INTUBACION ENDOTRAQUEAL. CON LAS SIGUIENTES CARACTERISTICAS, SELECCIONABLES DE ACUERDO A LAS NECESIDADES DE LAS UNIDADES MEDICAS: DIMENSIONES, MANGO CON ACABADO
IMSS product code
531.568.0057.03
Each circle represents one of the 5 purchases of LARINGOSCOPIO made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 3 | 111,705.1 MXN | 16,741.5 MXN | 20.7 % | 6.4 | 13 de agosto de 2010 |
| Delegación Aguascalientes Almacen Delegacional En Aguascalientes | Aguascalientes | 1 | 14,727.4 MXN | - MXN | - | - | 22 de junio de 2009 |
| H. de Especialidades No. 2, "Luis Donaldo Colosio Murrieta", Centro Médico Nacional del Noroeste, Cd. Obregón Sonora Umae Especialidades Sonora | Sonora | 1 | 27,039.6 MXN | 7,237.5 MXN | 36.5 % | 2.19 | 26 de mayo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LEON ORTEGA JONATHAN | 2 | 7,548.1 MXN | 10.5 % | 2.29 | 2010 - 2010 |
| ABASTECIMIENTO MEDICO DE HERMOSILLO, S.A. DE C.V. | 1 | 7,237.5 MXN | 36.5 % | 2.19 | 2010 - 2010 |
| GARCIA CASTA?EDA ROSA MARIA | 1 | 9,193.3 MXN | 41.1 % | 4.11 | 2009 - 2009 |
| RESPIRA, S. A. DE C. V. | 1 | - MXN | - | - | 2009 - 2009 |
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=531.568.0057.03")
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=531.568.0057.03')
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=531.568.0057.03')