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Description
Cucharilla Hardy ángulo arriba 3 mm x 12 cm de longitud
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.263.0359.00
Presentation
Pieza
Each circle represents one of the 3 purchases of CUCHARILLA made by the IMSS between 2014 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 2 | 12,862.1 MXN | 3,614.6 MXN | 41.4 % | 2.48 | 11 de mayo de 2015 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 1 | 2,745.7 MXN | - MXN | - | - | 5 de marzo de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 2 | 3,614.6 MXN | 41.4 % | 2.48 | 2014 - 2015 |
| PRODUCTOS ORTOPEDICOS Y EQUIPOS, S.A. DE C.V. | 1 | - MXN | - | - | 2015 - 2015 |
Entity type
Instrumental de cirugia de especialidades
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=537.263.0359.00")
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=537.263.0359.00')
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=537.263.0359.00')