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Description
CATETERES PARA ANGIOGRAFIA Y ARTERIOGRAFIA POR TECNICA PERCUTANEA. DE POLITETRAFLUORETILENO O POLIESTER. TIPO: PIGTAIL. LONGITUD. 110 CM CALIBRE. 8 FR
IMSS product code
060.167.1647.12
Each circle represents one of the 5 purchases of CATÉTERES made by the IMSS between 2009 and 2015.
| 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 | 4 | 87,491 MXN | 11,431 MXN | 24.3 % | 59.1 | 25 de febrero de 2013 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 13,572 MXN | 1,872 MXN | 16 % | 0.16 | 4 de junio de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| BOSTON SCIENTIFIC DE MEXICO, S. A. DE C. V. | 3 | 5,315.6 MXN | 24.8 % | 27.6 | 2009 - 2013 |
| DURFA, S. A. DE C. V. | 1 | 1,872 MXN | 16 % | 0.16 | 2015 - 2015 |
| ESCAMILLA ZENTENO AURORA | 1 | 6,115.4 MXN | 22.5 % | 31.5 | 2009 - 2009 |
Date updated in QQW
3 de octubre de 2022
Source(s)
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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=060.167.1647.12")
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=060.167.1647.12')
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=060.167.1647.12')