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Description
CANULA OROFARINGEA, DE PLAS-TICO, TRANSPARENTE, TAMA\O00, LONG 40 MM MODELO GUEDEL
IMSS product code
060.167.3304.03
Each circle represents one of the 3 purchases of CÁNULAS OROFARÍNGEAS made by the IMSS between 2009 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 3 | 6,349.4 MXN | 848.9 MXN | 15.3 % | 64.3 | 12 de septiembre de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RICARDO MANUEL ROCHA MEZA | 2 | 468 MXN | 15 % | 31.2 | 2009 - 2009 |
| PROMEDICA GARCIA, S. A. DE C. V. | 1 | 380.9 MXN | 16 % | 33.1 | 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=060.167.3304.03")
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=060.167.3304.03')
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=060.167.3304.03')