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Description
INTRODUCTOR. DE CATETER ARTERIAL. CONSTA DE: UNA GUIA METALICA CON DILATADOR DE VASO, FUNDA O CAMISA, CON VALVULA. DIAMETRO: 5, 6, 7 Y 8 FR.
IMSS product code
060.527.0420.01
Each circle represents one of the 11 purchases of INTRODUCTORES made by the IMSS between 2012 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 10 | 4,698 MXN | 648 MXN | 16.3 % | 1.76 | 17 de diciembre de 2013 |
| Delegación Baja California | Baja California | 1 | 2,775 MXN | - MXN | - | - | 23 de enero de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| LEVBETH MEDICAL, S.A. DE C.V. | 10 | 648 MXN | 16.3 % | 1.76 | 2013 - 2013 |
| SERVICIO INTEGRAL PARA LA SALUD S.A. DE C.V. | 1 | - MXN | - | - | 2012 - 2012 |
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=060.527.0420.01")
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=060.527.0420.01')
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=060.527.0420.01')