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Description
Para drenaje urinario. De látex con globo de autorretención de 5 ml con válvula para jeringa. Estéril y desechable. Tipo: foley de dos vías. Calibre: 14 Fr
Classification
Material médico. Material de curacion
IMSS product code
060.168.9623.00
Presentation
Pieza
Each circle represents one of the 2 purchases of SONDAS made by the IMSS between 2010 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California | Baja California | 2 | 4,316.4 MXN | 0.000000000000455 MXN | 0.00000000000000594 % | 0.0000000000000207 | 12 de noviembre de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| DIAGNOSTICA NUEVA ACCION, S. A. DE C. V. | 1 | - MXN | - | - | 2010 - 2010 |
| QUEZADA ROMERO MIGUEL ANGEL | 1 | 0.000000000000455 MXN | 0.0000000000000119 % | 0.0000000000000207 | 2010 - 2010 |
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=060.168.9623.00")
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=060.168.9623.00')
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=060.168.9623.00')