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Description
SONDAS PARA ESOFAGO. DE TRES VIAS, PUNTA CERRADA CON CUATRO ORIFICIOS, DE LATEX, CON ARILLO RADIOPACO, ESTERIL Y DESECHABLE. MODELO SENGTAKEN (BLAKEMORE). LONGITUD: 100 CM. CALIBRE:18 FR.
IMSS product code
060.168.9870.11
Each circle represents one of the 4 purchases of SONDAS made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 1,136.8 MXN | 156.8 MXN | 16 % | 0.16 | 13 de septiembre de 2011 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 5,452 MXN | 752 MXN | 16 % | 0.32 | 20 de abril de 2010 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 1 | 2,254 MXN | 294 MXN | 15 % | 0.3 | 26 de marzo de 2009 |
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 4,698.9 MXN | 648.1 MXN | 16 % | 0.32 | 21 de mayo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CAGESA ABASTECEDORA DE HOSPITALES, S.A. DE C.V. | 1 | 752 MXN | 16 % | 0.32 | 2010 - 2010 |
| DISTRIBUIDORA ESPEC. DE MEDICAMENTOS KM, SA DE CV | 1 | 648.1 MXN | 16 % | 0.32 | 2013 - 2013 |
| MARTHA DEL JESUS MARRUFO HERNANDEZ | 1 | 294 MXN | 15 % | 0.3 | 2009 - 2009 |
| RODRIGUEZ MENDOZA SALVADOR FERNANDO | 1 | 156.8 MXN | 16 % | 0.16 | 2011 - 2011 |
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=060.168.9870.11")
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=060.168.9870.11')
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=060.168.9870.11')