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Description
TUBO ENDOTRAQUEAL. DE PLASTICO GRADO MEDICO CON MARCA RADIOPACA, ESTERIL, DESECHABLECON GLOBO DE ALTO VOLUMEN YBAJA PRESION INCLUYE UNA VALVULA, UN CONECTOR Y UNA ESCALA EN MM PARA DETERMINAR LAPROFUNDIDAD DE LA COLOCACION
IMSS product code
060.168.2214.01
Each circle represents one of the 1 purchases of TUBOS made by the IMSS between 2013 and 2013.
| 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 | 1 | 23,780 MXN | 3,280 MXN | 16 % | 160 | 7 de marzo de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MALLINCKRODT MEDICAL, S.A. DE C.V. | 1 | 3,280 MXN | 16 % | 160 | 2013 - 2013 |
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=060.168.2214.01")
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=060.168.2214.01')
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=060.168.2214.01')