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Description
NÚMERO DE CATÁLOGO: AN4KAC050, PARA SU USO EN EL EQUIPO: CLAVE 531 619 0403 MONITOR DE SIGNOS VITALES, MARCA: ANALOGIC, MODELO: AN4000C. PIEZA.
Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.808.0937.00
Each circle represents one of the 3 purchases of SENSOR DE TEMPERATURA DE PIEL made by the IMSS between 2011 and 2014.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Baja California Sur Almacen Delegacional En Baja California Sur | Baja California Sur | 2 | 1,740 MXN | 240 MXN | 16 % | 0.48 | 17 de diciembre de 2014 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 7,540 MXN | 1,040 MXN | 16 % | 0.8 | 14 de diciembre de 2011 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| ABASTECEDORA DE CONSUMIBLES MEDICOS, S.A. DE C.V. | 3 | 1,280 MXN | 16 % | 1.28 | 2011 - 2014 |
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=379.808.0937.00")
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=379.808.0937.00')
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=379.808.0937.00')