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Description
TUBO ENDOTRAQUEAL, DE PLASTICO, GRADO MEDICO, CON MARCARADIOPACA, ESTERIL, DESECHA-BLE, CON GLOBO DE ALTO VOLU-MEN Y BAJA PRESION; INCLUYEUNA VALVULA, UN CONECTOR YUNA ESCALA EN MM PARA DETERMINAR LA PROFUNDIDAD DE LA
IMSS product code
060.168.1356.10
Each circle represents one of the 2 purchases of TUBOS made by the IMSS between 2009 and 2012.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 239.4 MXN | 32.4 MXN | 15.5 % | 0.94 | 8 de agosto de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PROVEEDORA HOSPITALARIA DE AGUA PRIETA S.A DE C.V | 2 | 32.4 MXN | 15.5 % | 0.94 | 2009 - 2012 |
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=060.168.1356.10")
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=060.168.1356.10')
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=060.168.1356.10')