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Description
PARA DILATACION DE ARTERIA CORONARIA SOBRE LA GUIA. CALIBRE 2.7 FR, DISTAL, LONGITUD 135 CM CON GLOBO DE ALTA PRESION, DE MATERIAL NYLON 12. DIAMETRO DEL GLOBO 2.5 MM, LONGITUD DEL GLOBO 40 MM.
Classification
Material médico. Material de curacion
IMSS product code
060.166.2562.03
Each circle represents one of the 6 purchases of CATETERES made by the IMSS between 2010 and 2011.
| 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 | 6 | 265,387.7 MXN | 36,605.2 MXN | 18.1 % | 2.88 | 31 de octubre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| JAR MEDICAL, S. A. DE C. V. | 5 | 30,347.7 MXN | 16.8 % | 2.38 | 2010 - 2011 |
| DURFA, S. A. DE C. V. | 1 | 6,257.5 MXN | 25 % | 0.499 | 2011 - 2011 |
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=060.166.2562.03")
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=060.166.2562.03')
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=060.166.2562.03')