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Description
INJERTOS PARA REEMPLAZO DE ARCO AORTICO. 20 MM TUBULAR Y 2 RAMAS.
IMSS product code
060.506.1688.11
Each circle represents one of the 2 purchases of INJERTOS made by the IMSS between 2010 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades Cardiológicas No. 34, Centro Médico Nacional del Noreste. Umae Cardiologia En Nuevo Leon | Nuevo León | 1 | 89,320 MXN | 12,320 MXN | 16 % | 1.12 | 7 de mayo de 2013 |
| H. de Especialidades, "Gral. Div. Manuel Avila Camacho", Centro Médico Nacional, Puebla Umae Especialidades Puebla | Puebla | 1 | 46,980 MXN | 6,480 MXN | 16 % | 0.16 | 23 de febrero de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTENIDO CIENTIFICO, S. A. DE C. V. | 1 | 6,480 MXN | 16 % | 0.16 | 2010 - 2010 |
| DIAGNOSTICO Y CIRUGIA, S.A. DE C.V. | 1 | 12,320 MXN | 16 % | 1.12 | 2013 - 2013 |
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=060.506.1688.11")
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=060.506.1688.11')
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=060.506.1688.11')