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Description
Para biopsia. Reesterilizables con estilete y tope deslizable. Tipo: menghini. Longitud: 70 mm. Calibre: 16 G
Classification
Material médico. Material de curacion
IMSS product code
060.040.0295.00
Presentation
Pieza
Each circle represents one of the 2 purchases of AGUJAS made by the IMSS between 2010 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Sinaloa Almacen Delegacional En Sinaloa | Sinaloa | 1 | 986 MXN | 136 MXN | 16 % | 0.16 | 4 de junio de 2010 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 3,857 MXN | 532 MXN | 16 % | 0.8 | 6 de junio de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| MEDIGROUP DEL PACIFICO, S.A. DE C.V. | 1 | 136 MXN | 16 % | 0.16 | 2010 - 2010 |
| PE MEDICAL SA DE CV | 1 | 532 MXN | 16 % | 0.8 | 2014 - 2014 |
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=060.040.0295.00")
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=060.040.0295.00')
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=060.040.0295.00')