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Description
Para biopsia reesterilizables. Tipo: osgood. 3.3 cm. 18 G
Classification
Material médico. Material de curacion
IMSS product code
060.040.0121.00
Presentation
Pieza
Each circle represents one of the 4 purchases of AGUJAS made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 2 | 7,714 MXN | 1,064 MXN | 16 % | 1.6 | 11 de diciembre de 2014 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 5,823.2 MXN | 803.2 MXN | 16 % | 3.2 | 10 de diciembre de 2013 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 4,640 MXN | 640 MXN | 16 % | 1.6 | 26 de mayo de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| PE MEDICAL SA DE CV | 2 | 1,064 MXN | 16 % | 1.6 | 2014 - 2014 |
| DAMO DISTRIBUCION Y EQUIPO MEDICO S.A. DE C.V. | 1 | 803.2 MXN | 16 % | 3.2 | 2013 - 2013 |
| DURFA, S. A. DE C. V. | 1 | 640 MXN | 16 % | 1.6 | 2011 - 2011 |
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=060.040.0121.00")
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=060.040.0121.00')
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=060.040.0121.00')