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Description
CANULA PARA TRAQUEOSTOMIA, -DE ELASTOMERO DE SILICON,CAL 24 FR, D.I. 5.5 MM D.E.8.0 MM.
IMSS product code
060.167.0979.02
Each circle represents one of the 3 purchases of CÁNULAS made by the IMSS between 2011 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 2 | 30,044 MXN | 4,144 MXN | 16 % | 1.44 | 30 de marzo de 2015 |
| Delegación Baja California Almacen Delegacional En Baja California Norte | Baja California | 1 | 886.3 MXN | 87.8 MXN | 11 % | 0.11 | 3 de agosto de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DURFA, S. A. DE C. V. | 2 | 4,144 MXN | 16 % | 1.44 | 2014 - 2015 |
| SERVICIOS E INSUMOS INSTITUCIONALES DEL NOROESTE D | 1 | 87.8 MXN | 11 % | 0.11 | 2011 - 2011 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.167.0979.02")
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=060.167.0979.02')
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=060.167.0979.02')