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Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.4713.00
Each circle represents one of the 4 purchases of NOMBRE PENDIENTE POR ASIGNAR made by the IMSS between 2012 and 2016.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Querétaro Almacen Delegacional En Queretaro | Querétaro | 3 | 9,370.5 MXN | 1,292.5 MXN | 16.1 % | 0.8 | 1 de diciembre de 2016 |
| H. de Especialidades Núm 25, Monterrey, N.L. Umae Especialidades Nuevo Leon | Nuevo León | 1 | 1,809.6 MXN | 249.6 MXN | 16 % | 0.16 | 21 de diciembre de 2012 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| COMPA?IA INTERNACIONAL DE DISTRIBUCIONES, SA DE CV | 1 | 249.6 MXN | 16 % | 0.16 | 2012 - 2012 |
| MARTHA ANDREA BARRERA MCDONALD | 1 | 581.1 MXN | 15.8 % | 0.315 | 2016 - 2016 |
| MICRO TECNOLOGIA BIOMEDICA DE MEXICO, S.A. DE C.V. | 1 | 303.3 MXN | 16.5 % | 0.165 | 2016 - 2016 |
| PROVEEDORA MAHO, S.A. DE C.V. | 1 | 408 MXN | 16 % | 0.32 | 2015 - 2015 |
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=379.156.4713.00")
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=379.156.4713.00')
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=379.156.4713.00')