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Description
Para biopsia desechable. Tipo: trucut. Longitud: 20 cm. Calibre: 18 G
Classification
Material médico. Material de curacion
IMSS product code
060.040.0840.00
Presentation
Pieza
Each circle represents one of the 2 purchases of AGUJAS made by the IMSS between 2013 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 2 | 20,996 MXN | 3,840.5 MXN | 36.1 % | 7.21 | 30 de octubre de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMERCIALIZADORA SANCHEZ RICO, S.A. DE C.V. | 1 | - MXN | - | - | 2013 - 2013 |
| GENESIS HEALTHCARE ADVISERS, S. A. DE C. V. | 1 | 3,840.5 MXN | 72.1 % | 7.21 | 2013 - 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=060.040.0840.00")
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=060.040.0840.00')
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=060.040.0840.00')