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Description
INJERTOS. INJERTO DE PEQUE?O CALIBRE DE POLIESTER O DACRON RECUBIERTO DE COLAGENO, ALBUMINA O GELATINA CON ANTIBACTERIANO. LONGITUD EN CM: 70.0, DIAMETRO INTERNO EN MM: 5.0.
IMSS product code
060.506.3387.01
Each circle represents one of the 2 purchases of INJERTOS made by the IMSS between 2010 and 2017.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Bernardo Sepulveda Gutiérrez" Centro Médico Nacional Siglo XXI Umae Especialidades C.m.n. Siglo Xxi | Ciudad de México | 1 | 38,860 MXN | 5,360 MXN | 16 % | 0.16 | 22 de mayo de 2017 |
| H. de Especialidades No. 14 "Adolfo Ruíz Cortines", Veracruz. Umae Especialidades Veracruz (nte.) | Veracruz | 1 | 10,127.4 MXN | 1,396.9 MXN | 16 % | 0.16 | 31 de agosto de 2010 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ASESORIA EN PRODUCTOS MEDICOS, S.A. DE C.V. | 1 | 1,396.9 MXN | 16 % | 0.16 | 2010 - 2010 |
| LEVBETH MEDICAL, S.A. DE C.V. | 1 | 5,360 MXN | 16 % | 0.16 | 2017 - 2017 |
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=060.506.3387.01")
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=060.506.3387.01')
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=060.506.3387.01')