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Description
GUIAS PARA CATETERES CON PUNTA RECTA FLEXIBLE. LONGITUD. 100 CM DIAMETRO. 0.025".
IMSS product code
060.463.1317.11
Each circle represents one of the 2 purchases of GUÍAS made by the IMSS between 2009 and 2010.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Cardiología, Centro Médico Nacional Siglo XXI Umae Cardiologia C.m.n. Siglo Xxi | Ciudad de México | 1 | 1,265 MXN | 165 MXN | 15 % | 0.75 | 13 de febrero de 2009 |
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 1 | 7,076 MXN | 976 MXN | 16 % | 1.6 | 27 de mayo de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONTENIDO CIENTIFICO, S. A. DE C. V. | 1 | 165 MXN | 15 % | 0.75 | 2009 - 2009 |
| VELASCO GARCIA MARIA DE JESUS | 1 | 976 MXN | 16 % | 1.6 | 2010 - 2010 |
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=060.463.1317.11")
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=060.463.1317.11')
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=060.463.1317.11')