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Description
Guía recubierta de politetrafluoretileno para catéter con punta en "J" de 3 mm de 0.035" de diámetro y 260 cm de longitud
Classification
Material médico. Material de curacion
IMSS product code
060.274.0276.00
Presentation
Pieza
Each circle represents one of the 4 purchases of CUERDAS made by the IMSS between 2011 and 2013.
| 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 | 4 | 8,908.8 MXN | 1,276.8 MXN | 20.9 % | 1.16 | 21 de octubre de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LEVBETH MEDICAL, S.A. DE C.V. | 4 | 1,276.8 MXN | 20.9 % | 1.16 | 2011 - 2013 |
Entity type
Material de curacion
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=060.274.0276.00")
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=060.274.0276.00')
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=060.274.0276.00')