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Description
CANULA OROFARINGEA, DE PLAS-TICO, TRANSPARENTE, DESECHA-BLE, TAMA\O 3, LONG 80 M M MODELO GUEDEL.
IMSS product code
060.167.3320.05
Each circle represents one of the 2 purchases of CÁNULAS OROFARÍNGEAS made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 220.4 MXN | 30.4 MXN | 16 % | 0.8 | 3 de octubre de 2011 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 1 | 185.6 MXN | 25.6 MXN | 16 % | 1.6 | 28 de enero de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| GAMMA APOYO LOGISTICO SA DE CV | 1 | 25.6 MXN | 16 % | 1.6 | 2014 - 2014 |
| MAYOREO MEDICO DEL NOROESTE, S.A. DE C.V. | 1 | 30.4 MXN | 16 % | 0.8 | 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=060.167.3320.05")
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=060.167.3320.05')
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=060.167.3320.05')