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Description
CANULA OROFARINGEA, DE PLAS-TICO, TRANSPARENTE, TAMA\OLONG 50 MM MODELO GUEDEL.
IMSS product code
060.167.0458.03
Each circle represents one of the 2 purchases of CÁNULAS made by the IMSS between 2009 and 2011.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 2 | 432 MXN | 41 MXN | 10.5 % | 4.3 | 18 de marzo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DISTRIBUIDORA DE FOCOS, S. A. DE C. V. | 1 | 20.5 MXN | 11 % | 3.3 | 2011 - 2011 |
| TIBA MEDICA, S. A. DE C. V. | 1 | 20.5 MXN | 10 % | 1 | 2009 - 2009 |
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=060.167.0458.03")
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=060.167.0458.03')
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=060.167.0458.03')