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Classification
Material médico. Consumibles de equipos medicos y de laboratorio
IMSS product code
379.156.7781.00
Each circle represents one of the 2 purchases of NOMBRE PENDIENTE POR ASIGNAR made by the IMSS between 2015 and 2015.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 8,120 MXN | 5,062.9 MXN | 165.6 % | 3.31 | 26 de marzo de 2015 |
| Delegación Estado de México Poniente Almacen Delegacional En El Estado De Mexico Poniente | Estado de México | 1 | 16,704 MXN | - MXN | - | - | 14 de mayo de 2015 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| RODRIGUEZ MENDOZA SALVADOR FERNANDO | 1 | 5,062.9 MXN | 165.6 % | 3.31 | 2015 - 2015 |
| SERVICIO E INTEGRACION BIOMEDICA DE MEXICO S.A. DE | 1 | - MXN | - | - | 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=379.156.7781.00")
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=379.156.7781.00')
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=379.156.7781.00')