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Description
CATETER ANGIOGRAFICO NIH CONDOS MARCAS RADIOPACOS A 1 CMDE SEPARACION, CAL 6 FR LONG100 CM.
IMSS product code
060.167.9475.02
Each circle represents one of the 2 purchases of CATÉTERES made by the IMSS between 2009 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco Umae Especialidades Jalisco | Jalisco | 2 | 11,100 MXN | 1,500 MXN | 15.5 % | 1.7 | 15 de mayo de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTENIDO CIENTIFICO, S. A. DE C. V. | 1 | 540 MXN | 15 % | 0.9 | 2009 - 2009 |
| SELECCIONES MEDICAS DEL CENTRO. S. A. DE C. V. | 1 | 960 MXN | 16 % | 0.8 | 2014 - 2014 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.167.9475.02")
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=060.167.9475.02')
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=060.167.9475.02')