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Description
PARA INYECCION DE MATERIAL DE CONTRASTE Y SOLUCIONES CONTIENE: 2 JERINGAS DE 200 ML 1 TUBO DE LLENADO Y 1 TUBO CONECTOR DE BAJA PRESION , PARA SU. CAJA C/25 JUEGOS NÚMERO DE CATÁLOGO: 90000103. JUEGO.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.437.1926.00
Each circle represents one of the 2 purchases of JERINGAS made by the IMSS between 2017 and 2018.
| 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 | 2 | 628,140 MXN | 86,640 MXN | 16 % | 6.08 | 13 de febrero de 2018 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| HEALTHCARE SYSTEMS DE MEXICO, S. A. DE C. V. | 2 | 86,640 MXN | 16 % | 6.08 | 2017 - 2018 |
Entity type
Consumibles de equipos medicos y de laboratorio
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=379.437.1926.00")
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=379.437.1926.00')
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=379.437.1926.00')