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Description
PARA INYECCION DE MATERIAL DE CONTRASTE Y SOLUCIONES ESPECIFICO PARA INYECTOR MARCA MEDRAD MODELO SPECTRIS SOLARIS. EMPAQUE QUE CONTIENE 2 JERINGAS: DE 65 ML Y 115 ML, 1 TUBO DE LLENADO Y 1 TUBO.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.437.0456.00
Each circle represents one of the 12 purchases of JUEGO DE JERINGAS made by the IMSS between 2011 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| H. de Oncología, Centro Médico Nacional Siglo XXI Umae Oncologia C.m.n. Siglo Xxi | Ciudad de México | 8 | 735,507.4 MXN | 101,449.3 MXN | 16 % | 276.8 | 11 de mayo de 2018 |
| H. de Pediatría, Centro Médico Nacional Siglo XXI Umae Pediatria C.m.n. Siglo Xxi | Ciudad de México | 4 | 73,500.6 MXN | 10,138 MXN | 16 % | 28 | 2 de junio de 2014 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| JUAMA, S.A. DE C.V. | 12 | 111,587.3 MXN | 16 % | 304.8 | 2011 - 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=379.437.0456.00")
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=379.437.0456.00')
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=379.437.0456.00')