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Description
CATETER ANGIOGRAFICO NIH CONDOS MARCAS RADIOPACOS A 1 CMDE SEPARACION, CAL 5 FR LONG50 CM.
IMSS product code
060.167.9442.02
Each circle represents one of the 6 purchases of CATÉTERES made by the IMSS between 2010 and 2013.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Pediatría, "Lic. Ignacio García Tellez" Centro Médico Nacional de Occidente, Jalisco. Umae Pediatria Jalisco | Jalisco | 5 | 82,882 MXN | 11,432 MXN | 15.7 % | 13.1 | 13 de septiembre de 2010 |
| H. de Gineco Pediatría Núm 48, León Gto. Umae Gineco - Pediatria Guanajuato | Guanajuato | 1 | 2,253.9 MXN | 310.9 MXN | 16 % | 0.32 | 10 de diciembre de 2013 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| VELASCO GARCIA MARIA DE JESUS | 3 | 3,961.8 MXN | 15.2 % | 4.55 | 2010 - 2010 |
| ROCHA MEZA MARIA GUADALUPE | 2 | 7,470.2 MXN | 16.5 % | 8.57 | 2010 - 2010 |
| INSTRUMENTACION BIOMEDICA Y SIST. QUIR., SA CV | 1 | 310.9 MXN | 16 % | 0.32 | 2013 - 2013 |
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=060.167.9442.02")
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=060.167.9442.02')
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=060.167.9442.02')