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Description
TUBO ENDOTRAQUEAL, SIN GLO-BO, DE ELASTOMERO DE SILICON, TRANSPARENTE, GRADU ADO,CON MARCA RADIOPACA, ESTERILY DESECHABLE, CAL 12 FR.
IMSS product code
060.168.1455.04
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 Nuevo León | Nuevo León | 1 | 236.6 MXN | 0.00000443 MXN | 0.00000187 % | 0.000000217 | 5 de noviembre de 2009 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 120.1 MXN | 16.6 MXN | 16 % | 0.48 | 10 de julio de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDOR MEDICO HOSPITALARIO, S. A. DE C. V. | 1 | 0.00000443 MXN | 0.00000187 % | 0.000000217 | 2009 - 2009 |
| GOPY MEDICAL S.A DE C.V. | 1 | 16.6 MXN | 16 % | 0.48 | 2012 - 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=060.168.1455.04")
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=060.168.1455.04')
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=060.168.1455.04')