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Description
TUBO SISTEMA PARA TOMA Y RECOLECCION DE SANGRE, DE PLASTICO PET AL VACIO, (13 X 75 MM) DESECHABLE PARA ADULTO CON CITRATO DE SODIO 0.105 MOLAR (3.2%) (0.3 ML) LIQUIDO, TAPON AZUL CON SILICON COMO LUBRICANTE, VOLUMEN DE DRENADO 2.7 A 3 ML
IMSS product code
080.909.6555.01
Each circle represents one of the 2 purchases of TUBOS made by the IMSS between 2019 and 2019.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Especialidades, "Dr. Antonio Fraga Mouret" Centro Médico Nacional La Raza Umae Especialidades C.m.n. La Raza | Ciudad de México | 1 | 221,335 MXN | 62,484.2 MXN | 39.3 % | 115.6 | 18 de enero de 2019 |
| H. de Gineco Obstetricia Núm. 23, "Ignacio Morones Prieto" Monterrey, N.L. Umae Gineco - Obstetricia Nuevo Leon | Nuevo León | 1 | 34,382.4 MXN | - MXN | - | - | 22 de enero de 2019 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| CONSORCIO HOSPITALARIO S. A. DE C. V. | 1 | - MXN | - | - | 2019 - 2019 |
| LEAMSI, S.A. DE C.V. | 1 | 62,484.2 MXN | 39.3 % | 115.6 | 2019 - 2019 |
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=080.909.6555.01")
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=080.909.6555.01')
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=080.909.6555.01')